论坛 › 技术前沿 › 阿里云服务器北京地域多少钱？北京地域最新收费标准及便宜购买教程

cqwkyzk 发表于 2024-10-5 22:52:29

阿里云服务器北京地域多少钱？北京地域最新收费标准及便宜购买教程

阿里云服务器在国内有十几个地域可选，北京地域主要适合北方用户选择，2024年阿里云中国内地地域云服务器做了降价调整，因此收费标准也有所变化，本文为大家展示阿里云服务器北京地域最新的收费标准，以及在实际购买过程中如何购买价格可以更加便宜，以供参考。

一、阿里云服务器北京地域接入点及运营商介绍
阿里云服务器北京地域有大兴、昌平、廊坊、海淀、丰台等多个接入点，运营商有万国、联通、电信及阿里等。
<table>
<thead>
<tr>
<th>地域</th>
<th>接入点</th>
<th>运营商</th>
<th>附近的建筑物</th>
</tr>
</thead>
<tbody>
<tr>
<td>华北2（北京）</td>
<td>北京-大兴-A</td>
<td>万国</td>
<td>北京经济技术开发区不动产登记中心</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-大兴-E</td>
<td>联通</td>
<td>中铁吉盛物流大厦</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-昌平-A</td>
<td>电信</td>
<td>北京昌平区未来科学城滨水公园</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-廊坊-A</td>
<td>阿里</td>
<td>龙河中央公园</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-廊坊-C</td>
<td>中立</td>
<td>廊坊御龙河公园</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-海淀-A-橙云</td>
<td>中立</td>
<td>丰滢公园</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-亦庄-A</td>
<td>世纪互联</td>
<td>北京亦创国际会展中心</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-顺义-B</td>
<td>移动</td>
<td>花梨坎地铁站</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-朝阳-B</td>
<td>电信</td>
<td>丁香园</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-朝阳-C</td>
<td>中立</td>
<td>恒通国际商务园</td>
</tr>
<tr>
<td>华北2（北京）</td>
<td>北京-丰台-A</td>
<td>皓宽</td>
<td>北京丰台分局执法办案管理中心</td>
</tr>
</tbody>
</table>

二、阿里云服务器北京地域最新收费标准
阿里云服务器配置与实例规格不同，收费标准不一样，同时购买时长不同，换算到每个月的收费标准也不同，下面是阿里云服务器北京地域最新收费标准，包括按量(小时)、标准目录月价、优惠月价、年付月价、3年付月价、5年付月价。
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用算力型 ecs.u1-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.45</td>
<td>216</td>
<td>216</td>
<td>116.64</td>
<td>75.6</td>
<td>51.84</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.351</td>
<td>168.48</td>
<td>168.48</td>
<td>90.98</td>
<td>58.97</td>
<td>40.44</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.large</td>
<td>2</td>
<td>16</td>
<td>0.59625</td>
<td>286.2</td>
<td>286.2</td>
<td>154.55</td>
<td>100.17</td>
<td>68.69</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.33375</td>
<td>160.2</td>
<td>160.2</td>
<td>86.51</td>
<td>56.07</td>
<td>38.45</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.6675</td>
<td>320.4</td>
<td>320.4</td>
<td>173.02</td>
<td>112.14</td>
<td>76.9</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.1925</td>
<td>572.4</td>
<td>572.4</td>
<td>309.1</td>
<td>200.34</td>
<td>137.38</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.702</td>
<td>336.96</td>
<td>336.96</td>
<td>181.96</td>
<td>117.94</td>
<td>80.87</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>233.28</td>
<td>151.2</td>
<td>103.68</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8</td>
<td>864</td>
<td>864</td>
<td>466.56</td>
<td>302.4</td>
<td>207.36</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.404</td>
<td>673.92</td>
<td>673.92</td>
<td>363.92</td>
<td>235.87</td>
<td>161.74</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>618.19</td>
<td>400.68</td>
<td>274.75</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.335</td>
<td>640.8</td>
<td>640.8</td>
<td>346.03</td>
<td>224.28</td>
<td>153.79</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.7</td>
<td>1296</td>
<td>1296</td>
<td>699.84</td>
<td>453.6</td>
<td>311.04</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.3xlarge</td>
<td>12</td>
<td>12</td>
<td>2.0025</td>
<td>961.2</td>
<td>961.2</td>
<td>519.05</td>
<td>336.42</td>
<td>230.69</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.106</td>
<td>1010.88</td>
<td>1010.88</td>
<td>545.88</td>
<td>353.81</td>
<td>242.61</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.5775</td>
<td>1717.2</td>
<td>1717.2</td>
<td>927.29</td>
<td>601.02</td>
<td>412.13</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>2.67</td>
<td>1281.6</td>
<td>1281.6</td>
<td>692.06</td>
<td>448.56</td>
<td>307.58</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1236.38</td>
<td>801.36</td>
<td>549.5</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.6</td>
<td>1728</td>
<td>1728</td>
<td>933.12</td>
<td>604.8</td>
<td>414.72</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.808</td>
<td>1347.84</td>
<td>1347.84</td>
<td>727.83</td>
<td>471.74</td>
<td>323.48</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.2</td>
<td>3456</td>
<td>3456</td>
<td>1866.24</td>
<td>1209.6</td>
<td>829.44</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>2472.77</td>
<td>1602.72</td>
<td>1099.01</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.616</td>
<td>2695.68</td>
<td>2695.68</td>
<td>1455.67</td>
<td>943.49</td>
<td>646.96</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.8xlarge</td>
<td>32</td>
<td>32</td>
<td>5.34</td>
<td>2563.2</td>
<td>2563.2</td>
<td>1384.13</td>
<td>897.12</td>
<td>615.17</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.small</td>
<td>1</td>
<td>8</td>
<td>0.271293</td>
<td>130.22</td>
<td>130.22</td>
<td>84.64</td>
<td>55.99</td>
<td>39.07</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.large</td>
<td>2</td>
<td>16</td>
<td>0.542587</td>
<td>260.44</td>
<td>260.44</td>
<td>169.29</td>
<td>111.99</td>
<td>78.13</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.085175</td>
<td>520.88</td>
<td>520.88</td>
<td>338.57</td>
<td>223.98</td>
<td>156.27</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.17035</td>
<td>1041.77</td>
<td>1041.77</td>
<td>677.15</td>
<td>447.96</td>
<td>312.53</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.3407</td>
<td>2083.54</td>
<td>2083.54</td>
<td>1354.3</td>
<td>895.92</td>
<td>625.06</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.8xlarge</td>
<td>32</td>
<td>256</td>
<td>8.6814</td>
<td>4167.07</td>
<td>4167.07</td>
<td>2708.6</td>
<td>1791.84</td>
<td>1250.12</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.16xlarge</td>
<td>64</td>
<td>512</td>
<td>17.3628</td>
<td>8334.14</td>
<td>8334.14</td>
<td>5417.19</td>
<td>3583.68</td>
<td>2500.24</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.small</td>
<td>1</td>
<td>4</td>
<td>0.2</td>
<td>96</td>
<td>96</td>
<td>62.4</td>
<td>41.28</td>
<td>28.8</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.large</td>
<td>2</td>
<td>8</td>
<td>0.4</td>
<td>192</td>
<td>192</td>
<td>124.8</td>
<td>82.56</td>
<td>57.6</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.8</td>
<td>384</td>
<td>384</td>
<td>249.6</td>
<td>165.12</td>
<td>115.2</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.6</td>
<td>768</td>
<td>768</td>
<td>499.2</td>
<td>330.24</td>
<td>230.4</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.2</td>
<td>1536</td>
<td>1536</td>
<td>998.4</td>
<td>660.48</td>
<td>460.8</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.8xlarge</td>
<td>32</td>
<td>128</td>
<td>6.4</td>
<td>3072</td>
<td>3072</td>
<td>1996.8</td>
<td>1320.96</td>
<td>921.6</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.16xlarge</td>
<td>64</td>
<td>256</td>
<td>12.8</td>
<td>6144</td>
<td>6144</td>
<td>3993.6</td>
<td>2641.92</td>
<td>1843.2</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.small</td>
<td>1</td>
<td>2</td>
<td>0.133466</td>
<td>64.06</td>
<td>64.06</td>
<td>41.64</td>
<td>25.63</td>
<td>19.22</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.large</td>
<td>2</td>
<td>4</td>
<td>0.266933</td>
<td>128.13</td>
<td>128.13</td>
<td>83.28</td>
<td>51.25</td>
<td>38.44</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.533866</td>
<td>256.26</td>
<td>256.26</td>
<td>166.57</td>
<td>102.5</td>
<td>76.88</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.067733</td>
<td>512.51</td>
<td>512.51</td>
<td>333.13</td>
<td>205</td>
<td>153.75</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.135466</td>
<td>1025.02</td>
<td>1025.02</td>
<td>666.27</td>
<td>410.01</td>
<td>307.51</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.270933</td>
<td>2050.05</td>
<td>2050.05</td>
<td>1332.53</td>
<td>820.02</td>
<td>615.01</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.16xlarge</td>
<td>64</td>
<td>128</td>
<td>8.541866</td>
<td>4100.1</td>
<td>4100.1</td>
<td>2665.06</td>
<td>1640.04</td>
<td>1230.03</td>
</tr>
<tr>
<td>AMD 内存平衡增强型 ecs.r8ae.large</td>
<td>2</td>
<td>16</td>
<td>0.7751</td>
<td>372.06</td>
<td>372.06</td>
<td>241.84</td>
<td>159.99</td>
<td>111.62</td>
</tr>
<tr>
<td>AMD 内存平衡增强型 ecs.r8ae.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.5502</td>
<td>744.12</td>
<td>744.12</td>
<td>483.68</td>
<td>319.97</td>
<td>223.24</td>
</tr>
<tr>
<td>AMD 内存平衡增强型 ecs.r8ae.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.1005</td>
<td>1488.24</td>
<td>1488.24</td>
<td>967.36</td>
<td>639.94</td>
<td>446.47</td>
</tr>
<tr>
<td>AMD 内存平衡增强型 ecs.r8ae.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.201</td>
<td>2976.48</td>
<td>2976.48</td>
<td>1934.71</td>
<td>1279.89</td>
<td>892.94</td>
</tr>
<tr>
<td>AMD 内存平衡增强型 ecs.r8ae.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.402</td>
<td>5952.96</td>
<td>5952.96</td>
<td>3869.42</td>
<td>2559.77</td>
<td>1785.89</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.large</td>
<td>2</td>
<td>4</td>
<td>0.44</td>
<td>211.2</td>
<td>211.2</td>
<td>137.28</td>
<td>90.82</td>
<td>63.36</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.88</td>
<td>422.4</td>
<td>422.4</td>
<td>274.56</td>
<td>181.63</td>
<td>126.72</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>549.12</td>
<td>363.26</td>
<td>253.44</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.52</td>
<td>1689.6</td>
<td>1689.6</td>
<td>1098.24</td>
<td>726.53</td>
<td>506.88</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2196.48</td>
<td>1453.06</td>
<td>1013.76</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.16xlarge</td>
<td>64</td>
<td>128</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>4392.96</td>
<td>2906.11</td>
<td>2027.52</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.32xlarge</td>
<td>128</td>
<td>256</td>
<td>28.16</td>
<td>13516.8</td>
<td>13516.8</td>
<td>8785.92</td>
<td>5812.22</td>
<td>4055.04</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.large</td>
<td>2</td>
<td>8</td>
<td>0.5764</td>
<td>276.67</td>
<td>276.67</td>
<td>179.84</td>
<td>118.97</td>
<td>83</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.1528</td>
<td>553.34</td>
<td>553.34</td>
<td>359.67</td>
<td>237.94</td>
<td>166</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.3056</td>
<td>1106.69</td>
<td>1106.69</td>
<td>719.35</td>
<td>475.88</td>
<td>332.01</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.6112</td>
<td>2213.38</td>
<td>2213.38</td>
<td>1438.69</td>
<td>951.75</td>
<td>664.01</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.2224</td>
<td>4426.75</td>
<td>4426.75</td>
<td>2877.39</td>
<td>1903.5</td>
<td>1328.03</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.16xlarge</td>
<td>64</td>
<td>256</td>
<td>18.4448</td>
<td>8853.5</td>
<td>8853.5</td>
<td>5754.78</td>
<td>3807.01</td>
<td>2656.05</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.32xlarge</td>
<td>128</td>
<td>512</td>
<td>36.8896</td>
<td>17707.01</td>
<td>17707.01</td>
<td>11509.56</td>
<td>7614.01</td>
<td>5312.1</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.large</td>
<td>2</td>
<td>16</td>
<td>0.6797</td>
<td>326.27</td>
<td>326.27</td>
<td>212.07</td>
<td>140.3</td>
<td>97.88</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.3595</td>
<td>652.54</td>
<td>652.54</td>
<td>424.15</td>
<td>280.59</td>
<td>195.76</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.7189</td>
<td>1305.07</td>
<td>1305.07</td>
<td>848.3</td>
<td>561.18</td>
<td>391.52</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.4378</td>
<td>2610.14</td>
<td>2610.14</td>
<td>1696.59</td>
<td>1122.36</td>
<td>783.04</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.8756</td>
<td>5220.29</td>
<td>5220.29</td>
<td>3393.19</td>
<td>2244.72</td>
<td>1566.09</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.12xlarge</td>
<td>48</td>
<td>384</td>
<td>16.3134</td>
<td>7830.43</td>
<td>7830.43</td>
<td>5089.78</td>
<td>3367.09</td>
<td>2349.13</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>21.7512</td>
<td>10440.58</td>
<td>10440.58</td>
<td>6786.37</td>
<td>4489.45</td>
<td>3132.17</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.large</td>
<td>2</td>
<td>4</td>
<td>0.3872</td>
<td>185.86</td>
<td>185.86</td>
<td>120.81</td>
<td>79.92</td>
<td>55.76</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.7744</td>
<td>371.71</td>
<td>371.71</td>
<td>241.61</td>
<td>159.84</td>
<td>111.51</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.5488</td>
<td>743.42</td>
<td>743.42</td>
<td>483.23</td>
<td>319.67</td>
<td>223.03</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.0976</td>
<td>1486.85</td>
<td>1486.85</td>
<td>966.45</td>
<td>639.34</td>
<td>446.05</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.1952</td>
<td>2973.7</td>
<td>2973.7</td>
<td>1932.9</td>
<td>1278.69</td>
<td>892.11</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.12xlarge</td>
<td>48</td>
<td>96</td>
<td>9.2928</td>
<td>4460.54</td>
<td>4460.54</td>
<td>2899.35</td>
<td>1918.03</td>
<td>1338.16</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>12.3904</td>
<td>5947.39</td>
<td>5947.39</td>
<td>3865.8</td>
<td>2557.38</td>
<td>1784.22</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.24xlarge</td>
<td>96</td>
<td>192</td>
<td>18.5856</td>
<td>8921.09</td>
<td>8921.09</td>
<td>5798.71</td>
<td>3836.07</td>
<td>2676.33</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>24.7808</td>
<td>11894.78</td>
<td>11894.78</td>
<td>7731.61</td>
<td>5114.76</td>
<td>3568.44</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.48xlarge</td>
<td>192</td>
<td>384</td>
<td>37.1712</td>
<td>17842.18</td>
<td>17842.18</td>
<td>11597.41</td>
<td>7672.14</td>
<td>5352.65</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.large</td>
<td>2</td>
<td>8</td>
<td>0.5104</td>
<td>244.99</td>
<td>244.99</td>
<td>159.24</td>
<td>105.35</td>
<td>73.5</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0208</td>
<td>489.98</td>
<td>489.98</td>
<td>318.49</td>
<td>210.69</td>
<td>147</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.0416</td>
<td>979.97</td>
<td>979.97</td>
<td>636.98</td>
<td>421.39</td>
<td>293.99</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.0832</td>
<td>1959.94</td>
<td>1959.94</td>
<td>1273.96</td>
<td>842.77</td>
<td>587.98</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.1664</td>
<td>3919.87</td>
<td>3919.87</td>
<td>2547.92</td>
<td>1685.55</td>
<td>1175.96</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.12xlarge</td>
<td>48</td>
<td>192</td>
<td>12.2496</td>
<td>5879.81</td>
<td>5879.81</td>
<td>3821.88</td>
<td>2528.32</td>
<td>1763.94</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>16.3328</td>
<td>7839.74</td>
<td>7839.74</td>
<td>5095.83</td>
<td>3371.09</td>
<td>2351.92</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.24xlarge</td>
<td>96</td>
<td>384</td>
<td>24.4992</td>
<td>11759.62</td>
<td>11759.62</td>
<td>7643.75</td>
<td>5056.63</td>
<td>3527.88</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>32.6656</td>
<td>15679.49</td>
<td>15679.49</td>
<td>10191.67</td>
<td>6742.18</td>
<td>4703.85</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.48xlarge</td>
<td>192</td>
<td>768</td>
<td>48.9984</td>
<td>23519.23</td>
<td>23519.23</td>
<td>15287.5</td>
<td>10113.27</td>
<td>7055.77</td>
</tr>
<tr>
<td>内存型 ecs.r8i.large</td>
<td>2</td>
<td>16</td>
<td>0.731</td>
<td>350.9</td>
<td>350.9</td>
<td>228.08</td>
<td>150.89</td>
<td>105.27</td>
</tr>
<tr>
<td>内存型 ecs.r8i.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.4621</td>
<td>701.79</td>
<td>701.79</td>
<td>456.16</td>
<td>301.77</td>
<td>210.54</td>
</tr>
<tr>
<td>内存型 ecs.r8i.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.9241</td>
<td>1403.58</td>
<td>1403.58</td>
<td>912.33</td>
<td>603.54</td>
<td>421.07</td>
</tr>
<tr>
<td>内存型 ecs.r8i.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.3862</td>
<td>2105.37</td>
<td>2105.37</td>
<td>1368.49</td>
<td>905.31</td>
<td>631.61</td>
</tr>
<tr>
<td>内存型 ecs.r8i.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.8483</td>
<td>2807.16</td>
<td>2807.16</td>
<td>1824.66</td>
<td>1207.08</td>
<td>842.15</td>
</tr>
<tr>
<td>内存型 ecs.r8i.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.7724</td>
<td>4210.75</td>
<td>4210.75</td>
<td>2736.99</td>
<td>1810.62</td>
<td>1263.22</td>
</tr>
<tr>
<td>内存型 ecs.r8i.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.6965</td>
<td>5614.33</td>
<td>5614.33</td>
<td>3649.31</td>
<td>2414.16</td>
<td>1684.3</td>
</tr>
<tr>
<td>内存型 ecs.r8i.12xlarge</td>
<td>48</td>
<td>384</td>
<td>17.5448</td>
<td>8421.49</td>
<td>8421.49</td>
<td>5473.97</td>
<td>3621.24</td>
<td>2526.45</td>
</tr>
<tr>
<td>计算型 ecs.c8i.large</td>
<td>2</td>
<td>4</td>
<td>0.4281</td>
<td>205.48</td>
<td>205.48</td>
<td>133.56</td>
<td>88.36</td>
<td>61.64</td>
</tr>
<tr>
<td>计算型 ecs.c8i.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.8562</td>
<td>410.96</td>
<td>410.96</td>
<td>267.12</td>
<td>176.71</td>
<td>123.29</td>
</tr>
<tr>
<td>计算型 ecs.c8i.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.7123</td>
<td>821.92</td>
<td>821.92</td>
<td>534.25</td>
<td>353.43</td>
<td>246.58</td>
</tr>
<tr>
<td>计算型 ecs.c8i.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.5685</td>
<td>1232.88</td>
<td>1232.88</td>
<td>801.37</td>
<td>530.14</td>
<td>369.86</td>
</tr>
<tr>
<td>计算型 ecs.c8i.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.4247</td>
<td>1643.84</td>
<td>1643.84</td>
<td>1068.5</td>
<td>706.85</td>
<td>493.15</td>
</tr>
<tr>
<td>计算型 ecs.c8i.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.137</td>
<td>2465.76</td>
<td>2465.76</td>
<td>1602.75</td>
<td>1060.28</td>
<td>739.73</td>
</tr>
<tr>
<td>计算型 ecs.c8i.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.8493</td>
<td>3287.68</td>
<td>3287.68</td>
<td>2136.99</td>
<td>1413.7</td>
<td>986.31</td>
</tr>
<tr>
<td>计算型 ecs.c8i.12xlarge</td>
<td>48</td>
<td>96</td>
<td>10.274</td>
<td>4931.53</td>
<td>4931.53</td>
<td>3205.49</td>
<td>2120.56</td>
<td>1479.46</td>
</tr>
<tr>
<td>计算型 ecs.c8i.16xlarge</td>
<td>64</td>
<td>128</td>
<td>13.6987</td>
<td>6575.37</td>
<td>6575.37</td>
<td>4273.99</td>
<td>2827.41</td>
<td>1972.61</td>
</tr>
<tr>
<td>计算型 ecs.c8i.24xlarge</td>
<td>96</td>
<td>192</td>
<td>20.548</td>
<td>9863.05</td>
<td>9863.05</td>
<td>6410.99</td>
<td>4241.11</td>
<td>2958.92</td>
</tr>
<tr>
<td>通用型 ecs.g8i.large</td>
<td>2</td>
<td>8</td>
<td>0.5494</td>
<td>263.72</td>
<td>263.72</td>
<td>171.42</td>
<td>113.4</td>
<td>79.12</td>
</tr>
<tr>
<td>通用型 ecs.g8i.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0988</td>
<td>527.44</td>
<td>527.44</td>
<td>342.83</td>
<td>226.8</td>
<td>158.23</td>
</tr>
<tr>
<td>通用型 ecs.g8i.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.1977</td>
<td>1054.87</td>
<td>1054.87</td>
<td>685.67</td>
<td>453.6</td>
<td>316.46</td>
</tr>
<tr>
<td>通用型 ecs.g8i.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.2965</td>
<td>1582.31</td>
<td>1582.31</td>
<td>1028.5</td>
<td>680.39</td>
<td>474.69</td>
</tr>
<tr>
<td>通用型 ecs.g8i.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.3953</td>
<td>2109.74</td>
<td>2109.74</td>
<td>1371.33</td>
<td>907.19</td>
<td>632.92</td>
</tr>
<tr>
<td>通用型 ecs.g8i.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.593</td>
<td>3164.62</td>
<td>3164.62</td>
<td>2057</td>
<td>1360.79</td>
<td>949.38</td>
</tr>
<tr>
<td>通用型 ecs.g8i.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.7906</td>
<td>4219.49</td>
<td>4219.49</td>
<td>2742.67</td>
<td>1814.38</td>
<td>1265.85</td>
</tr>
<tr>
<td>通用型 ecs.g8i.12xlarge</td>
<td>48</td>
<td>192</td>
<td>13.1859</td>
<td>6329.23</td>
<td>6329.23</td>
<td>4114</td>
<td>2721.57</td>
<td>1898.77</td>
</tr>
<tr>
<td>通用型 ecs.g8i.16xlarge</td>
<td>64</td>
<td>256</td>
<td>17.5812</td>
<td>8438.98</td>
<td>8438.98</td>
<td>5485.33</td>
<td>3628.76</td>
<td>2531.69</td>
</tr>
<tr>
<td>通用型 ecs.g8i.24xlarge</td>
<td>96</td>
<td>384</td>
<td>26.3718</td>
<td>12658.46</td>
<td>12658.46</td>
<td>8228</td>
<td>5443.14</td>
<td>3797.54</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.large</td>
<td>2</td>
<td>8</td>
<td>0.6044</td>
<td>290.09</td>
<td>290.09</td>
<td>188.56</td>
<td>124.74</td>
<td>87.03</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.2087</td>
<td>580.18</td>
<td>580.18</td>
<td>377.12</td>
<td>249.48</td>
<td>174.05</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.4174</td>
<td>1160.36</td>
<td>1160.36</td>
<td>754.23</td>
<td>498.95</td>
<td>348.11</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.6261</td>
<td>1740.54</td>
<td>1740.54</td>
<td>1131.35</td>
<td>748.43</td>
<td>522.16</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.8348</td>
<td>2320.72</td>
<td>2320.72</td>
<td>1508.47</td>
<td>997.91</td>
<td>696.22</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.2522</td>
<td>3481.08</td>
<td>3481.08</td>
<td>2262.7</td>
<td>1496.86</td>
<td>1044.32</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.6697</td>
<td>4641.44</td>
<td>4641.44</td>
<td>3016.93</td>
<td>1995.82</td>
<td>1392.43</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.16xlarge</td>
<td>64</td>
<td>256</td>
<td>19.3393</td>
<td>9282.87</td>
<td>9282.87</td>
<td>6033.87</td>
<td>3991.64</td>
<td>2784.86</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg8i.32xlarge</td>
<td>128</td>
<td>512</td>
<td>38.6786</td>
<td>18565.75</td>
<td>18565.75</td>
<td>12067.74</td>
<td>7983.27</td>
<td>5569.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.large</td>
<td>2</td>
<td>4</td>
<td>0.4709</td>
<td>226.03</td>
<td>226.03</td>
<td>146.92</td>
<td>97.19</td>
<td>67.81</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.9418</td>
<td>452.06</td>
<td>452.06</td>
<td>293.84</td>
<td>194.38</td>
<td>135.62</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.8836</td>
<td>904.11</td>
<td>904.11</td>
<td>587.67</td>
<td>388.77</td>
<td>271.23</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.8254</td>
<td>1356.17</td>
<td>1356.17</td>
<td>881.51</td>
<td>583.15</td>
<td>406.85</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.7671</td>
<td>1808.23</td>
<td>1808.23</td>
<td>1175.35</td>
<td>777.54</td>
<td>542.47</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.6507</td>
<td>2712.34</td>
<td>2712.34</td>
<td>1763.02</td>
<td>1166.31</td>
<td>813.7</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.5343</td>
<td>3616.45</td>
<td>3616.45</td>
<td>2350.69</td>
<td>1555.07</td>
<td>1084.94</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.16xlarge</td>
<td>64</td>
<td>128</td>
<td>15.0686</td>
<td>7232.91</td>
<td>7232.91</td>
<td>4701.39</td>
<td>3110.15</td>
<td>2169.87</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.32xlarge</td>
<td>128</td>
<td>256</td>
<td>30.1371</td>
<td>14465.81</td>
<td>14465.81</td>
<td>9402.78</td>
<td>6220.3</td>
<td>4339.74</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn8t.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>110.4167</td>
<td>53000</td>
<td>53000</td>
<td>53000</td>
<td>53000</td>
<td>53000</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.large</td>
<td>2</td>
<td>8</td>
<td>0.579166</td>
<td>278</td>
<td>278</td>
<td>180.7</td>
<td>119.54</td>
<td>83.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.158333</td>
<td>556</td>
<td>556</td>
<td>361.4</td>
<td>239.08</td>
<td>166.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.316666</td>
<td>1112</td>
<td>1112</td>
<td>722.8</td>
<td>478.16</td>
<td>333.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.475</td>
<td>1668</td>
<td>1668</td>
<td>1084.2</td>
<td>717.24</td>
<td>500.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.633333</td>
<td>2224</td>
<td>2224</td>
<td>1445.6</td>
<td>956.32</td>
<td>667.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.95</td>
<td>3336</td>
<td>3336</td>
<td>2168.4</td>
<td>1434.48</td>
<td>1000.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.266666</td>
<td>4448</td>
<td>4448</td>
<td>2891.2</td>
<td>1912.64</td>
<td>1334.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.12xlarge</td>
<td>48</td>
<td>192</td>
<td>13.9</td>
<td>6672</td>
<td>6672</td>
<td>4336.8</td>
<td>2868.96</td>
<td>2001.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.24xlarge</td>
<td>96</td>
<td>384</td>
<td>27.8</td>
<td>13344</td>
<td>13344</td>
<td>8673.6</td>
<td>5737.92</td>
<td>4003.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>0.470833</td>
<td>226</td>
<td>226</td>
<td>146.9</td>
<td>97.18</td>
<td>67.8</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.941666</td>
<td>452</td>
<td>452</td>
<td>293.8</td>
<td>194.36</td>
<td>135.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.883333</td>
<td>904</td>
<td>904</td>
<td>587.6</td>
<td>388.72</td>
<td>271.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.825</td>
<td>1356</td>
<td>1356</td>
<td>881.4</td>
<td>583.08</td>
<td>406.8</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.766666</td>
<td>1808</td>
<td>1808</td>
<td>1175.2</td>
<td>777.44</td>
<td>542.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.65</td>
<td>2712</td>
<td>2712</td>
<td>1762.8</td>
<td>1166.16</td>
<td>813.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.533333</td>
<td>3616</td>
<td>3616</td>
<td>2350.4</td>
<td>1554.88</td>
<td>1084.8</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.12xlarge</td>
<td>48</td>
<td>96</td>
<td>11.3</td>
<td>5424</td>
<td>5424</td>
<td>3525.6</td>
<td>2332.32</td>
<td>1627.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.24xlarge</td>
<td>96</td>
<td>192</td>
<td>22.6</td>
<td>10848</td>
<td>10848</td>
<td>7051.2</td>
<td>4664.64</td>
<td>3254.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.large</td>
<td>2</td>
<td>16</td>
<td>0.766666</td>
<td>368</td>
<td>368</td>
<td>239.2</td>
<td>158.24</td>
<td>110.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.533333</td>
<td>736</td>
<td>736</td>
<td>478.4</td>
<td>316.48</td>
<td>220.8</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.066666</td>
<td>1472</td>
<td>1472</td>
<td>956.8</td>
<td>632.96</td>
<td>441.6</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.6</td>
<td>2208</td>
<td>2208</td>
<td>1435.2</td>
<td>949.44</td>
<td>662.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.133333</td>
<td>2944</td>
<td>2944</td>
<td>1913.6</td>
<td>1265.92</td>
<td>883.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>9.2</td>
<td>4416</td>
<td>4416</td>
<td>2870.4</td>
<td>1898.88</td>
<td>1324.8</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.266666</td>
<td>5888</td>
<td>5888</td>
<td>3827.2</td>
<td>2531.84</td>
<td>1766.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.12xlarge</td>
<td>48</td>
<td>384</td>
<td>18.4</td>
<td>8832</td>
<td>8832</td>
<td>5740.8</td>
<td>3797.76</td>
<td>2649.6</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.24xlarge</td>
<td>96</td>
<td>768</td>
<td>36.8</td>
<td>17664</td>
<td>17664</td>
<td>11481.6</td>
<td>7595.52</td>
<td>5299.2</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn7.26xlarge</td>
<td>104</td>
<td>768</td>
<td>252.666666</td>
<td>121280</td>
<td>121280</td>
<td>103088</td>
<td>66704</td>
<td>46086.4</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfc7.48xlarge</td>
<td>192</td>
<td>384</td>
<td>45.2</td>
<td>21696</td>
<td>21696</td>
<td>18441.6</td>
<td>11932.8</td>
<td>8244.48</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.large</td>
<td>2</td>
<td>8</td>
<td>0.725</td>
<td>348</td>
<td>348</td>
<td>226.2</td>
<td>149.64</td>
<td>104.4</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.45</td>
<td>696</td>
<td>696</td>
<td>452.4</td>
<td>299.28</td>
<td>208.8</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.9</td>
<td>1392</td>
<td>1392</td>
<td>904.8</td>
<td>598.56</td>
<td>417.6</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.8</td>
<td>2784</td>
<td>2784</td>
<td>1809.6</td>
<td>1197.12</td>
<td>835.2</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.6</td>
<td>5568</td>
<td>5568</td>
<td>3619.2</td>
<td>2394.24</td>
<td>1670.4</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.12xlarge</td>
<td>48</td>
<td>192</td>
<td>17.4</td>
<td>8352</td>
<td>8352</td>
<td>5428.8</td>
<td>3591.36</td>
<td>2505.6</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.24xlarge</td>
<td>96</td>
<td>384</td>
<td>34.8</td>
<td>16704</td>
<td>16704</td>
<td>10857.6</td>
<td>7182.72</td>
<td>5011.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c12g1.3xlarge</td>
<td>12</td>
<td>94</td>
<td>31.583333</td>
<td>15160</td>
<td>15160</td>
<td>12886</td>
<td>8338</td>
<td>5760.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c13g1.13xlarge</td>
<td>52</td>
<td>378</td>
<td>126.333333</td>
<td>60640</td>
<td>60640</td>
<td>51544</td>
<td>33352</td>
<td>23043.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c13g1.26xlarge</td>
<td>104</td>
<td>756</td>
<td>252.666666</td>
<td>121280</td>
<td>121280</td>
<td>103088</td>
<td>66704</td>
<td>46086.4</td>
</tr>
<tr>
<td>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.52325</td>
<td>251.16</td>
<td>251.16</td>
<td>163.25</td>
<td>108</td>
<td>75.35</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0465</td>
<td>502.32</td>
<td>502.32</td>
<td>326.51</td>
<td>216</td>
<td>150.7</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.093</td>
<td>1004.64</td>
<td>1004.64</td>
<td>653.02</td>
<td>432</td>
<td>301.39</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.1395</td>
<td>1506.96</td>
<td>1506.96</td>
<td>979.52</td>
<td>647.99</td>
<td>452.09</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.186</td>
<td>2009.28</td>
<td>2009.28</td>
<td>1306.03</td>
<td>863.99</td>
<td>602.78</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.279</td>
<td>3013.92</td>
<td>3013.92</td>
<td>1959.05</td>
<td>1295.99</td>
<td>904.18</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.372</td>
<td>4018.56</td>
<td>4018.56</td>
<td>2612.06</td>
<td>1727.98</td>
<td>1205.57</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>16.744</td>
<td>8037.12</td>
<td>8037.12</td>
<td>5224.13</td>
<td>3455.96</td>
<td>2411.14</td>
</tr>
<tr>
<td>通用型 ecs.g7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>33.488</td>
<td>16074.24</td>
<td>16074.24</td>
<td>10448.26</td>
<td>6911.92</td>
<td>4822.27</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>0.696221</td>
<td>334.19</td>
<td>334.19</td>
<td>217.22</td>
<td>143.7</td>
<td>100.26</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.392442</td>
<td>668.37</td>
<td>668.37</td>
<td>434.44</td>
<td>287.4</td>
<td>200.51</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.784885</td>
<td>1336.74</td>
<td>1336.74</td>
<td>868.88</td>
<td>574.8</td>
<td>401.02</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.177327</td>
<td>2005.12</td>
<td>2005.12</td>
<td>1303.33</td>
<td>862.2</td>
<td>601.54</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.56977</td>
<td>2673.49</td>
<td>2673.49</td>
<td>1737.77</td>
<td>1149.6</td>
<td>802.05</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.354655</td>
<td>4010.23</td>
<td>4010.23</td>
<td>2606.65</td>
<td>1724.4</td>
<td>1203.07</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.13954</td>
<td>5346.98</td>
<td>5346.98</td>
<td>3475.54</td>
<td>2299.2</td>
<td>1604.09</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>22.27908</td>
<td>10693.96</td>
<td>10693.96</td>
<td>6951.07</td>
<td>4598.4</td>
<td>3208.19</td>
</tr>
<tr>
<td>内存型 ecs.r7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>44.55816</td>
<td>21387.92</td>
<td>21387.92</td>
<td>13902.15</td>
<td>9196.8</td>
<td>6416.38</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.407698</td>
<td>195.7</td>
<td>195.7</td>
<td>127.2</td>
<td>78.28</td>
<td>58.71</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.815397</td>
<td>391.39</td>
<td>391.39</td>
<td>254.4</td>
<td>156.56</td>
<td>117.42</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.630795</td>
<td>782.78</td>
<td>782.78</td>
<td>508.81</td>
<td>313.11</td>
<td>234.83</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.446193</td>
<td>1174.17</td>
<td>1174.17</td>
<td>763.21</td>
<td>469.67</td>
<td>352.25</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.261591</td>
<td>1565.56</td>
<td>1565.56</td>
<td>1017.62</td>
<td>626.23</td>
<td>469.67</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.892387</td>
<td>2348.35</td>
<td>2348.35</td>
<td>1526.42</td>
<td>939.34</td>
<td>704.5</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.523183</td>
<td>3131.13</td>
<td>3131.13</td>
<td>2035.23</td>
<td>1252.45</td>
<td>939.34</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>128</td>
<td>13.046366</td>
<td>6262.26</td>
<td>6262.26</td>
<td>4070.47</td>
<td>2504.9</td>
<td>1878.68</td>
</tr>
<tr>
<td>计算型 ecs.c7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>26.092733</td>
<td>12524.51</td>
<td>12524.51</td>
<td>8140.93</td>
<td>5009.8</td>
<td>3757.35</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>26.092733</td>
<td>12524.51</td>
<td>12524.51</td>
<td>10645.84</td>
<td>6888.48</td>
<td>4759.31</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmr7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>44.55816</td>
<td>21387.92</td>
<td>21387.92</td>
<td>18179.73</td>
<td>11763.35</td>
<td>8127.41</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>33.488</td>
<td>16074.24</td>
<td>16074.24</td>
<td>13663.1</td>
<td>8840.83</td>
<td>6108.21</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.large</td>
<td>2</td>
<td>16</td>
<td>0.786056</td>
<td>377.31</td>
<td>377.31</td>
<td>245.25</td>
<td>162.24</td>
<td>113.19</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.572112</td>
<td>754.61</td>
<td>754.61</td>
<td>490.5</td>
<td>324.48</td>
<td>226.38</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.144225</td>
<td>1509.23</td>
<td>1509.23</td>
<td>981</td>
<td>648.97</td>
<td>452.77</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.716337</td>
<td>2263.84</td>
<td>2263.84</td>
<td>1471.5</td>
<td>973.45</td>
<td>679.15</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.28845</td>
<td>3018.46</td>
<td>3018.46</td>
<td>1962</td>
<td>1297.94</td>
<td>905.54</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.6xlarge</td>
<td>24</td>
<td>192</td>
<td>9.432675</td>
<td>4527.68</td>
<td>4527.68</td>
<td>2943</td>
<td>1946.9</td>
<td>1358.31</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.5769</td>
<td>6036.91</td>
<td>6036.91</td>
<td>3923.99</td>
<td>2595.87</td>
<td>1811.07</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.16xlarge</td>
<td>64</td>
<td>512</td>
<td>25.1538</td>
<td>12073.82</td>
<td>12073.82</td>
<td>7847.99</td>
<td>5191.74</td>
<td>3622.15</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.large</td>
<td>2</td>
<td>8</td>
<td>0.60375</td>
<td>289.8</td>
<td>289.8</td>
<td>188.37</td>
<td>124.61</td>
<td>86.94</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.2075</td>
<td>579.6</td>
<td>579.6</td>
<td>376.74</td>
<td>249.23</td>
<td>173.88</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.415</td>
<td>1159.2</td>
<td>1159.2</td>
<td>753.48</td>
<td>498.46</td>
<td>347.76</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.6225</td>
<td>1738.8</td>
<td>1738.8</td>
<td>1130.22</td>
<td>747.68</td>
<td>521.64</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.83</td>
<td>2318.4</td>
<td>2318.4</td>
<td>1506.96</td>
<td>996.91</td>
<td>695.52</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.245</td>
<td>3477.6</td>
<td>3477.6</td>
<td>2260.44</td>
<td>1495.37</td>
<td>1043.28</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.66</td>
<td>4636.8</td>
<td>4636.8</td>
<td>3013.92</td>
<td>1993.82</td>
<td>1391.04</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.16xlarge</td>
<td>64</td>
<td>256</td>
<td>19.32</td>
<td>9273.6</td>
<td>9273.6</td>
<td>6027.84</td>
<td>3987.65</td>
<td>2782.08</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.large</td>
<td>2</td>
<td>4</td>
<td>0.470421</td>
<td>225.8</td>
<td>225.8</td>
<td>146.77</td>
<td>97.09</td>
<td>67.74</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.940843</td>
<td>451.61</td>
<td>451.61</td>
<td>293.54</td>
<td>194.19</td>
<td>135.48</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.881687</td>
<td>903.21</td>
<td>903.21</td>
<td>587.09</td>
<td>388.38</td>
<td>270.96</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.822531</td>
<td>1354.82</td>
<td>1354.82</td>
<td>880.63</td>
<td>582.57</td>
<td>406.44</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.763375</td>
<td>1806.42</td>
<td>1806.42</td>
<td>1174.17</td>
<td>776.76</td>
<td>541.93</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.645062</td>
<td>2709.63</td>
<td>2709.63</td>
<td>1761.26</td>
<td>1165.14</td>
<td>812.89</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.52675</td>
<td>3612.84</td>
<td>3612.84</td>
<td>2348.35</td>
<td>1553.52</td>
<td>1083.85</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.16xlarge</td>
<td>64</td>
<td>128</td>
<td>15.0535</td>
<td>7225.68</td>
<td>7225.68</td>
<td>4696.69</td>
<td>3107.04</td>
<td>2167.7</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn7e.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>277.933</td>
<td>133408</td>
<td>133408</td>
<td>113396.8</td>
<td>73374.4</td>
<td>50695.04</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn7i.32xlarge</td>
<td>128</td>
<td>768</td>
<td>53.2331</td>
<td>25551.9</td>
<td>25551.9</td>
<td>21719.12</td>
<td>14053.55</td>
<td>9709.72</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc7a.64xlarge</td>
<td>256</td>
<td>512</td>
<td>37.547</td>
<td>18022.4</td>
<td>18022.4</td>
<td>15319.04</td>
<td>9912.32</td>
<td>6848.51</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg7a.64xlarge</td>
<td>256</td>
<td>1024</td>
<td>56.32</td>
<td>27033.6</td>
<td>27033.6</td>
<td>22978.56</td>
<td>14868.48</td>
<td>10272.77</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmr7a.64xlarge</td>
<td>256</td>
<td>2048</td>
<td>76.32</td>
<td>36633.6</td>
<td>36633.6</td>
<td>31138.56</td>
<td>20148.48</td>
<td>13920.77</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.293</td>
<td>140.8</td>
<td>140.8</td>
<td>91.52</td>
<td>60.54</td>
<td>42.24</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.587</td>
<td>281.6</td>
<td>281.6</td>
<td>183.04</td>
<td>121.09</td>
<td>84.48</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>366.08</td>
<td>242.18</td>
<td>168.96</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.347</td>
<td>1126.4</td>
<td>1126.4</td>
<td>732.16</td>
<td>484.35</td>
<td>337.92</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1464.32</td>
<td>968.7</td>
<td>675.84</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a-nps1.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1464.32</td>
<td>968.7</td>
<td>675.84</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>2928.64</td>
<td>1937.41</td>
<td>1351.68</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a-nps1.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>2928.64</td>
<td>1937.41</td>
<td>1351.68</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>18.773</td>
<td>9011.2</td>
<td>9011.2</td>
<td>5857.28</td>
<td>3874.82</td>
<td>2703.36</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>0.44</td>
<td>211.2</td>
<td>211.2</td>
<td>137.28</td>
<td>90.82</td>
<td>63.36</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.88</td>
<td>422.4</td>
<td>422.4</td>
<td>274.56</td>
<td>181.63</td>
<td>126.72</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>549.12</td>
<td>363.26</td>
<td>253.44</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.52</td>
<td>1689.6</td>
<td>1689.6</td>
<td>1098.24</td>
<td>726.53</td>
<td>506.88</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2196.48</td>
<td>1453.06</td>
<td>1013.76</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a-nps1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2196.48</td>
<td>1453.06</td>
<td>1013.76</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>4392.96</td>
<td>2906.11</td>
<td>2027.52</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a-nps1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>4392.96</td>
<td>2906.11</td>
<td>2027.52</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>28.16</td>
<td>13516.8</td>
<td>13516.8</td>
<td>8785.92</td>
<td>5812.22</td>
<td>4055.04</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>0.596</td>
<td>286.2</td>
<td>286.2</td>
<td>186.03</td>
<td>123.07</td>
<td>85.86</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.192</td>
<td>572.4</td>
<td>572.4</td>
<td>372.06</td>
<td>246.13</td>
<td>171.72</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>744.12</td>
<td>492.26</td>
<td>343.44</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1488.24</td>
<td>984.53</td>
<td>686.88</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>2976.48</td>
<td>1969.06</td>
<td>1373.76</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>19.08</td>
<td>9158.4</td>
<td>9158.4</td>
<td>5952.96</td>
<td>3938.11</td>
<td>2747.52</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>38.16</td>
<td>18316.8</td>
<td>18316.8</td>
<td>11905.92</td>
<td>7876.22</td>
<td>5495.04</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>9.5326</td>
<td>4575.66</td>
<td>4575.66</td>
<td>3889.31</td>
<td>2516.61</td>
<td>1738.75</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c16g1.4xlarge</td>
<td>16</td>
<td>60</td>
<td>10.0934</td>
<td>4844.81</td>
<td>4844.81</td>
<td>4118.09</td>
<td>2664.65</td>
<td>1841.03</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.8xlarge</td>
<td>32</td>
<td>188</td>
<td>13.3083</td>
<td>6387.98</td>
<td>6387.98</td>
<td>5429.78</td>
<td>3513.39</td>
<td>2427.43</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-4x.8xlarge</td>
<td>32</td>
<td>128</td>
<td>38.1305</td>
<td>18302.63</td>
<td>18302.63</td>
<td>15557.24</td>
<td>10066.45</td>
<td>6955</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-2x.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.1867</td>
<td>9689.63</td>
<td>9689.63</td>
<td>8236.19</td>
<td>5329.3</td>
<td>3682.06</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c48g1.12xlarge</td>
<td>48</td>
<td>310</td>
<td>17.944</td>
<td>8613</td>
<td>8613</td>
<td>7321.05</td>
<td>4737.15</td>
<td>3272.94</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c56g1.14xlarge</td>
<td>56</td>
<td>346</td>
<td>21.533</td>
<td>10335.6</td>
<td>10335.6</td>
<td>8785.26</td>
<td>5684.58</td>
<td>3927.53</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.16xlarge</td>
<td>64</td>
<td>376</td>
<td>26.6166</td>
<td>12775.95</td>
<td>12775.95</td>
<td>10859.56</td>
<td>7026.77</td>
<td>4854.86</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-8x.16xlarge</td>
<td>64</td>
<td>256</td>
<td>76.2609</td>
<td>36605.25</td>
<td>36605.25</td>
<td>31114.46</td>
<td>20132.89</td>
<td>13909.99</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-4x.16xlarge</td>
<td>64</td>
<td>256</td>
<td>40.3734</td>
<td>19379.25</td>
<td>19379.25</td>
<td>16472.36</td>
<td>10658.59</td>
<td>7364.12</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.32xlarge</td>
<td>128</td>
<td>752</td>
<td>53.2331</td>
<td>25551.9</td>
<td>25551.9</td>
<td>21719.12</td>
<td>14053.55</td>
<td>9709.72</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-8x.32xlarge</td>
<td>128</td>
<td>512</td>
<td>80.7469</td>
<td>38758.5</td>
<td>38758.5</td>
<td>32944.72</td>
<td>21317.18</td>
<td>14728.23</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.large</td>
<td>2</td>
<td>16</td>
<td>0.860918</td>
<td>413.24</td>
<td>413.24</td>
<td>268.61</td>
<td>177.69</td>
<td>123.97</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.721837</td>
<td>826.48</td>
<td>826.48</td>
<td>537.21</td>
<td>355.39</td>
<td>247.94</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.443675</td>
<td>1652.96</td>
<td>1652.96</td>
<td>1074.43</td>
<td>710.77</td>
<td>495.89</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.165512</td>
<td>2479.45</td>
<td>2479.45</td>
<td>1611.64</td>
<td>1066.16</td>
<td>743.83</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.88735</td>
<td>3305.93</td>
<td>3305.93</td>
<td>2148.85</td>
<td>1421.55</td>
<td>991.78</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.331025</td>
<td>4958.89</td>
<td>4958.89</td>
<td>3223.28</td>
<td>2132.32</td>
<td>1487.67</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.7747</td>
<td>6611.86</td>
<td>6611.86</td>
<td>4297.71</td>
<td>2843.1</td>
<td>1983.56</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.16xlarge</td>
<td>64</td>
<td>512</td>
<td>27.5494</td>
<td>13223.71</td>
<td>13223.71</td>
<td>8595.41</td>
<td>5686.2</td>
<td>3967.11</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.large</td>
<td>2</td>
<td>4</td>
<td>0.515223</td>
<td>247.31</td>
<td>247.31</td>
<td>160.75</td>
<td>106.34</td>
<td>74.19</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.030447</td>
<td>494.62</td>
<td>494.62</td>
<td>321.5</td>
<td>212.68</td>
<td>148.38</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.060895</td>
<td>989.23</td>
<td>989.23</td>
<td>643</td>
<td>425.37</td>
<td>296.77</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.091343</td>
<td>1483.85</td>
<td>1483.85</td>
<td>964.5</td>
<td>638.05</td>
<td>445.15</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.121791</td>
<td>1978.46</td>
<td>1978.46</td>
<td>1286</td>
<td>850.74</td>
<td>593.54</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.182687</td>
<td>2967.69</td>
<td>2967.69</td>
<td>1929</td>
<td>1276.11</td>
<td>890.31</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.243583</td>
<td>3956.92</td>
<td>3956.92</td>
<td>2572</td>
<td>1701.48</td>
<td>1187.08</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.16xlarge</td>
<td>64</td>
<td>128</td>
<td>16.487166</td>
<td>7913.84</td>
<td>7913.84</td>
<td>5144</td>
<td>3402.95</td>
<td>2374.15</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.large</td>
<td>2</td>
<td>8</td>
<td>0.66125</td>
<td>317.4</td>
<td>317.4</td>
<td>206.31</td>
<td>136.48</td>
<td>95.22</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.3225</td>
<td>634.8</td>
<td>634.8</td>
<td>412.62</td>
<td>272.96</td>
<td>190.44</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.645</td>
<td>1269.6</td>
<td>1269.6</td>
<td>825.24</td>
<td>545.93</td>
<td>380.88</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.9675</td>
<td>1904.4</td>
<td>1904.4</td>
<td>1237.86</td>
<td>818.89</td>
<td>571.32</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.29</td>
<td>2539.2</td>
<td>2539.2</td>
<td>1650.48</td>
<td>1091.86</td>
<td>761.76</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.935</td>
<td>3808.8</td>
<td>3808.8</td>
<td>2475.72</td>
<td>1637.78</td>
<td>1142.64</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.58</td>
<td>5078.4</td>
<td>5078.4</td>
<td>3300.96</td>
<td>2183.71</td>
<td>1523.52</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.16xlarge</td>
<td>64</td>
<td>256</td>
<td>21.16</td>
<td>10156.8</td>
<td>10156.8</td>
<td>6601.92</td>
<td>4367.42</td>
<td>3047.04</td>
</tr>
<tr>
<td>持久内存型 ecs.re7p.large</td>
<td>2</td>
<td>8</td>
<td>0.989</td>
<td>474.75</td>
<td>474.75</td>
<td>308.59</td>
<td>204.14</td>
<td>142.43</td>
</tr>
<tr>
<td>持久内存型 ecs.re7p.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.978</td>
<td>949.5</td>
<td>949.5</td>
<td>617.18</td>
<td>408.29</td>
<td>284.85</td>
</tr>
<tr>
<td>持久内存型 ecs.re7p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.956</td>
<td>1899</td>
<td>1899</td>
<td>1234.35</td>
<td>816.57</td>
<td>569.7</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m4.xlarge</td>
<td>4</td>
<td>30</td>
<td>3.076559</td>
<td>1476.75</td>
<td>1476.75</td>
<td>1255.24</td>
<td>812.21</td>
<td>561.16</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m8.2xlarge</td>
<td>10</td>
<td>62</td>
<td>5.568747</td>
<td>2673</td>
<td>2673</td>
<td>2272.05</td>
<td>1470.15</td>
<td>1015.74</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m12.3xlarge</td>
<td>14</td>
<td>93</td>
<td>8.060934</td>
<td>3869.25</td>
<td>3869.25</td>
<td>3288.86</td>
<td>2128.09</td>
<td>1470.31</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m24.7xlarge</td>
<td>30</td>
<td>186</td>
<td>15.537497</td>
<td>7458</td>
<td>7458</td>
<td>6339.3</td>
<td>4101.9</td>
<td>2834.04</td>
</tr>
<tr>
<td>内存型 ecs.r7p.large</td>
<td>2</td>
<td>8</td>
<td>0.782</td>
<td>375.38</td>
<td>375.38</td>
<td>243.99</td>
<td>161.41</td>
<td>112.61</td>
</tr>
<tr>
<td>内存型 ecs.r7p.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.564</td>
<td>750.75</td>
<td>750.75</td>
<td>487.99</td>
<td>322.82</td>
<td>225.22</td>
</tr>
<tr>
<td>内存型 ecs.r7p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.128</td>
<td>1501.5</td>
<td>1501.5</td>
<td>975.98</td>
<td>645.64</td>
<td>450.45</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2.xlarge</td>
<td>4</td>
<td>15.5</td>
<td>1.871086</td>
<td>898.12</td>
<td>898.12</td>
<td>763.4</td>
<td>493.97</td>
<td>341.29</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2s.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.831</td>
<td>878.99</td>
<td>878.99</td>
<td>747.14</td>
<td>483.44</td>
<td>334.02</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>3.117701</td>
<td>1496.5</td>
<td>1496.5</td>
<td>1272.02</td>
<td>823.07</td>
<td>568.67</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.078</td>
<td>1477.37</td>
<td>1477.37</td>
<td>1255.76</td>
<td>812.55</td>
<td>561.4</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8.4xlarge</td>
<td>16</td>
<td>62</td>
<td>5.61093</td>
<td>2693.25</td>
<td>2693.25</td>
<td>2289.26</td>
<td>1481.29</td>
<td>1023.43</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8s.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.571</td>
<td>2674.12</td>
<td>2674.12</td>
<td>2273</td>
<td>1470.76</td>
<td>1016.16</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.4xlarge</td>
<td>16</td>
<td>125</td>
<td>34.742</td>
<td>16676</td>
<td>16676</td>
<td>14174.6</td>
<td>9171.8</td>
<td>6336.88</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.8xlarge</td>
<td>32</td>
<td>250</td>
<td>69.483</td>
<td>33352</td>
<td>33352</td>
<td>28349.2</td>
<td>18343.6</td>
<td>12673.76</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.16xlarge</td>
<td>64</td>
<td>500</td>
<td>138.967</td>
<td>66704</td>
<td>66704</td>
<td>56698.4</td>
<td>36687.2</td>
<td>25347.52</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.32xlarge</td>
<td>128</td>
<td>1000</td>
<td>277.933</td>
<td>133408</td>
<td>133408</td>
<td>113396.8</td>
<td>73374.4</td>
<td>50695.04</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn7ex.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>270.8333</td>
<td>130000</td>
<td>130000</td>
<td>110500</td>
<td>71500</td>
<td>49400</td>
</tr>
<tr>
<td>ARM GPU计算型 ecs.gn7r-c16g1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.8667</td>
<td>2336</td>
<td>2336</td>
<td>1985.6</td>
<td>1284.8</td>
<td>887.68</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.large</td>
<td>2</td>
<td>4</td>
<td>0.5096</td>
<td>244.62</td>
<td>244.62</td>
<td>159</td>
<td>105.19</td>
<td>73.39</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.0192</td>
<td>489.24</td>
<td>489.24</td>
<td>318.01</td>
<td>210.37</td>
<td>146.77</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.0385</td>
<td>978.48</td>
<td>978.48</td>
<td>636.01</td>
<td>420.75</td>
<td>293.54</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.077</td>
<td>1956.96</td>
<td>1956.96</td>
<td>1272.02</td>
<td>841.49</td>
<td>587.09</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.154</td>
<td>3913.91</td>
<td>3913.91</td>
<td>2544.04</td>
<td>1682.98</td>
<td>1174.17</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.16xlarge</td>
<td>64</td>
<td>128</td>
<td>16.308</td>
<td>7827.82</td>
<td>7827.82</td>
<td>5088.08</td>
<td>3365.96</td>
<td>2348.35</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.32xlarge</td>
<td>128</td>
<td>256</td>
<td>32.6159</td>
<td>15655.64</td>
<td>15655.64</td>
<td>10176.17</td>
<td>6731.93</td>
<td>4696.69</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.large</td>
<td>2</td>
<td>8</td>
<td>0.6541</td>
<td>313.95</td>
<td>313.95</td>
<td>204.07</td>
<td>135</td>
<td>94.19</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.3081</td>
<td>627.9</td>
<td>627.9</td>
<td>408.13</td>
<td>270</td>
<td>188.37</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.6162</td>
<td>1255.8</td>
<td>1255.8</td>
<td>816.27</td>
<td>539.99</td>
<td>376.74</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.2325</td>
<td>2511.6</td>
<td>2511.6</td>
<td>1632.54</td>
<td>1079.99</td>
<td>753.48</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.465</td>
<td>5023.2</td>
<td>5023.2</td>
<td>3265.08</td>
<td>2159.98</td>
<td>1506.96</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.16xlarge</td>
<td>64</td>
<td>256</td>
<td>20.93</td>
<td>10046.4</td>
<td>10046.4</td>
<td>6530.16</td>
<td>4319.95</td>
<td>3013.92</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.32xlarge</td>
<td>128</td>
<td>512</td>
<td>41.86</td>
<td>20092.8</td>
<td>20092.8</td>
<td>13060.32</td>
<td>8639.9</td>
<td>6027.84</td>
</tr>
<tr>
<td>通用型 ecs.g7h.large</td>
<td>2</td>
<td>8</td>
<td>0.6667</td>
<td>320</td>
<td>320</td>
<td>208</td>
<td>137.6</td>
<td>96</td>
</tr>
<tr>
<td>通用型 ecs.g7h.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.3333</td>
<td>640</td>
<td>640</td>
<td>416</td>
<td>275.2</td>
<td>192</td>
</tr>
<tr>
<td>通用型 ecs.g7h.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.6667</td>
<td>1280</td>
<td>1280</td>
<td>832</td>
<td>550.4</td>
<td>384</td>
</tr>
<tr>
<td>通用型 ecs.g7h.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.3333</td>
<td>2560</td>
<td>2560</td>
<td>1664</td>
<td>1100.8</td>
<td>768</td>
</tr>
<tr>
<td>通用型 ecs.g7h.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.6667</td>
<td>5120</td>
<td>5120</td>
<td>3328</td>
<td>2201.6</td>
<td>1536</td>
</tr>
<tr>
<td>通用型 ecs.g7h.16xlarge</td>
<td>64</td>
<td>256</td>
<td>21.3333</td>
<td>10240</td>
<td>10240</td>
<td>6656</td>
<td>4403.2</td>
<td>3072</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn7ix.32xlarge</td>
<td>128</td>
<td>512</td>
<td>80.7469</td>
<td>38758.5</td>
<td>38758.5</td>
<td>32944.72</td>
<td>21317.18</td>
<td>14728.23</td>
</tr>
<tr>
<td>通用型 ecs.hpc7ip.32xlarge</td>
<td>64</td>
<td>512</td>
<td>38.45</td>
<td>18456</td>
<td>18456</td>
<td>18456</td>
<td>18456</td>
<td>18456</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>26.46</td>
<td>7620</td>
<td>4572</td>
<td>3429</td>
<td>2209.8</td>
<td>2209.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>105.84</td>
<td>30480</td>
<td>18288</td>
<td>13716</td>
<td>8839.2</td>
<td>8839.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>211.68</td>
<td>60960</td>
<td>36576</td>
<td>27432</td>
<td>17678.4</td>
<td>17678.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c10g1.20xlarge</td>
<td>82</td>
<td>336</td>
<td>219.64</td>
<td>63255</td>
<td>37953</td>
<td>28464.75</td>
<td>18343.95</td>
<td>18343.95</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.5</td>
<td>240</td>
<td>240</td>
<td>156</td>
<td>103.2</td>
<td>72</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1</td>
<td>480</td>
<td>480</td>
<td>312</td>
<td>206.4</td>
<td>144</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2</td>
<td>960</td>
<td>960</td>
<td>624</td>
<td>412.8</td>
<td>288</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3</td>
<td>1440</td>
<td>1440</td>
<td>936</td>
<td>619.2</td>
<td>432</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4</td>
<td>1920</td>
<td>1920</td>
<td>1248</td>
<td>825.6</td>
<td>576</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6</td>
<td>2880</td>
<td>2880</td>
<td>1872</td>
<td>1238.4</td>
<td>864</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8</td>
<td>3840</td>
<td>3840</td>
<td>2496</td>
<td>1651.2</td>
<td>1152</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>13</td>
<td>6240</td>
<td>6240</td>
<td>4056</td>
<td>2683.2</td>
<td>1872</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>26</td>
<td>12480</td>
<td>12480</td>
<td>8112</td>
<td>5366.4</td>
<td>3744</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>11.63</td>
<td>3348</td>
<td>3348</td>
<td>1674</td>
<td>1071.36</td>
<td>1071.36</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>14</td>
<td>4032</td>
<td>4032</td>
<td>2016</td>
<td>1290.24</td>
<td>1290.24</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>16.41</td>
<td>4725</td>
<td>4725</td>
<td>2362.5</td>
<td>1512</td>
<td>1512</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>17.19</td>
<td>4950</td>
<td>4950</td>
<td>2475</td>
<td>1584</td>
<td>1584</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c40g1.10xlarge</td>
<td>40</td>
<td>155</td>
<td>14.819</td>
<td>7112.9</td>
<td>7112.9</td>
<td>3556.45</td>
<td>2276.13</td>
<td>2276.13</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>34.38</td>
<td>9900</td>
<td>9900</td>
<td>4950</td>
<td>3168</td>
<td>3168</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>68.75</td>
<td>19800</td>
<td>19800</td>
<td>9900</td>
<td>6336</td>
<td>6336</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>26</td>
<td>12480</td>
<td>12480</td>
<td>10608</td>
<td>6864</td>
<td>4742.4</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn6i.24xlarge</td>
<td>96</td>
<td>384</td>
<td>68.75</td>
<td>19800</td>
<td>19800</td>
<td>16830</td>
<td>10890</td>
<td>7524</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg6e.26xlarge</td>
<td>104</td>
<td>384</td>
<td>28.6</td>
<td>13728</td>
<td>13728</td>
<td>11668.8</td>
<td>7550.4</td>
<td>5216.64</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>21.342</td>
<td>10244</td>
<td>10244</td>
<td>8707.4</td>
<td>5634.2</td>
<td>3892.72</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.55</td>
<td>264</td>
<td>264</td>
<td>171.6</td>
<td>113.52</td>
<td>79.2</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.1</td>
<td>528</td>
<td>528</td>
<td>343.2</td>
<td>227.04</td>
<td>158.4</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.2</td>
<td>1056</td>
<td>1056</td>
<td>686.4</td>
<td>454.08</td>
<td>316.8</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.4</td>
<td>2112</td>
<td>2112</td>
<td>1372.8</td>
<td>908.16</td>
<td>633.6</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.8</td>
<td>4224</td>
<td>4224</td>
<td>2745.6</td>
<td>1816.32</td>
<td>1267.2</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>14.3</td>
<td>6864</td>
<td>6864</td>
<td>4461.6</td>
<td>2951.52</td>
<td>2059.2</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.39</td>
<td>187</td>
<td>187</td>
<td>121.55</td>
<td>80.41</td>
<td>56.1</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.78</td>
<td>374</td>
<td>374</td>
<td>243.1</td>
<td>160.82</td>
<td>112.2</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.56</td>
<td>748</td>
<td>748</td>
<td>486.2</td>
<td>321.64</td>
<td>224.4</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.34</td>
<td>1122</td>
<td>1122</td>
<td>729.3</td>
<td>482.46</td>
<td>336.6</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.12</td>
<td>1496</td>
<td>1496</td>
<td>972.4</td>
<td>643.28</td>
<td>448.8</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.68</td>
<td>2244</td>
<td>2244</td>
<td>1458.6</td>
<td>964.92</td>
<td>673.2</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.23</td>
<td>2992</td>
<td>2992</td>
<td>1944.8</td>
<td>1286.56</td>
<td>897.6</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.13</td>
<td>4862</td>
<td>4862</td>
<td>3160.3</td>
<td>2090.66</td>
<td>1458.6</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>20.26</td>
<td>9724</td>
<td>9724</td>
<td>6320.6</td>
<td>4181.32</td>
<td>2917.2</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.66</td>
<td>318</td>
<td>318</td>
<td>206.7</td>
<td>136.74</td>
<td>95.4</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.33</td>
<td>636</td>
<td>636</td>
<td>413.4</td>
<td>273.48</td>
<td>190.8</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.65</td>
<td>1272</td>
<td>1272</td>
<td>826.8</td>
<td>546.96</td>
<td>381.6</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.98</td>
<td>1908</td>
<td>1908</td>
<td>1240.2</td>
<td>820.44</td>
<td>572.4</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.3</td>
<td>2544</td>
<td>2544</td>
<td>1653.6</td>
<td>1093.92</td>
<td>763.2</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.95</td>
<td>3816</td>
<td>3816</td>
<td>2480.4</td>
<td>1640.88</td>
<td>1144.8</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.6</td>
<td>5088</td>
<td>5088</td>
<td>3307.2</td>
<td>2187.84</td>
<td>1526.4</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>17.23</td>
<td>8268</td>
<td>8268</td>
<td>5374.2</td>
<td>3555.24</td>
<td>2480.4</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>34.45</td>
<td>16536</td>
<td>16536</td>
<td>10748.4</td>
<td>7110.48</td>
<td>4960.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.03</td>
<td>8.5</td>
<td>8.5</td>
<td>5.52</td>
<td>3.66</td>
<td>2.55</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.059</td>
<td>17</td>
<td>17</td>
<td>11.05</td>
<td>7.31</td>
<td>5.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.118</td>
<td>34</td>
<td>34</td>
<td>22.1</td>
<td>14.62</td>
<td>10.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.236</td>
<td>68</td>
<td>68</td>
<td>44.2</td>
<td>29.24</td>
<td>20.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.472</td>
<td>136</td>
<td>136</td>
<td>88.4</td>
<td>58.48</td>
<td>40.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.944</td>
<td>272</td>
<td>272</td>
<td>176.8</td>
<td>116.96</td>
<td>81.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.889</td>
<td>544</td>
<td>544</td>
<td>353.6</td>
<td>233.92</td>
<td>163.2</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn6e.24xlarge</td>
<td>96</td>
<td>768</td>
<td>157.92</td>
<td>75800</td>
<td>75800</td>
<td>64430</td>
<td>41690</td>
<td>28804</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.447916</td>
<td>215</td>
<td>215</td>
<td>139.75</td>
<td>92.45</td>
<td>64.5</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.895833</td>
<td>430</td>
<td>430</td>
<td>279.5</td>
<td>184.9</td>
<td>129</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.791666</td>
<td>860</td>
<td>860</td>
<td>559</td>
<td>369.8</td>
<td>258</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.6875</td>
<td>1290</td>
<td>1290</td>
<td>838.5</td>
<td>554.7</td>
<td>387</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.583333</td>
<td>1720</td>
<td>1720</td>
<td>1118</td>
<td>739.6</td>
<td>516</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.375</td>
<td>2580</td>
<td>2580</td>
<td>1677</td>
<td>1109.4</td>
<td>774</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.166666</td>
<td>3440</td>
<td>3440</td>
<td>2236</td>
<td>1479.2</td>
<td>1032</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>8.958333</td>
<td>4300</td>
<td>4300</td>
<td>2795</td>
<td>1849</td>
<td>1290</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>14.333333</td>
<td>6880</td>
<td>6880</td>
<td>4472</td>
<td>2958.4</td>
<td>2064</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>17.916666</td>
<td>8600</td>
<td>8600</td>
<td>5590</td>
<td>3698</td>
<td>2580</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.55</td>
<td>264</td>
<td>264</td>
<td>171.6</td>
<td>113.52</td>
<td>79.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.1</td>
<td>528</td>
<td>528</td>
<td>343.2</td>
<td>227.04</td>
<td>158.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.2</td>
<td>1056</td>
<td>1056</td>
<td>686.4</td>
<td>454.08</td>
<td>316.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.3</td>
<td>1584</td>
<td>1584</td>
<td>1029.6</td>
<td>681.12</td>
<td>475.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.4</td>
<td>2112</td>
<td>2112</td>
<td>1372.8</td>
<td>908.16</td>
<td>633.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.6</td>
<td>3168</td>
<td>3168</td>
<td>2059.2</td>
<td>1362.24</td>
<td>950.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.8</td>
<td>4224</td>
<td>4224</td>
<td>2745.6</td>
<td>1816.32</td>
<td>1267.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>11</td>
<td>5280</td>
<td>5280</td>
<td>3432</td>
<td>2270.4</td>
<td>1584</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>17.6</td>
<td>8448</td>
<td>8448</td>
<td>5491.2</td>
<td>3632.64</td>
<td>2534.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>22</td>
<td>10560</td>
<td>10560</td>
<td>6864</td>
<td>4540.8</td>
<td>3168</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>19.739</td>
<td>9475</td>
<td>9475</td>
<td>8053.75</td>
<td>5211.25</td>
<td>3600.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>78.958</td>
<td>37900</td>
<td>37900</td>
<td>32215</td>
<td>20845</td>
<td>14402</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>157.916</td>
<td>75800</td>
<td>75800</td>
<td>64430</td>
<td>41690</td>
<td>28804</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>0.729166</td>
<td>350</td>
<td>350</td>
<td>227.5</td>
<td>150.5</td>
<td>105</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.458333</td>
<td>700</td>
<td>700</td>
<td>455</td>
<td>301</td>
<td>210</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.916666</td>
<td>1400</td>
<td>1400</td>
<td>910</td>
<td>602</td>
<td>420</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.375</td>
<td>2100</td>
<td>2100</td>
<td>1365</td>
<td>903</td>
<td>630</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.833333</td>
<td>2800</td>
<td>2800</td>
<td>1820</td>
<td>1204</td>
<td>840</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.75</td>
<td>4200</td>
<td>4200</td>
<td>2730</td>
<td>1806</td>
<td>1260</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.666666</td>
<td>5600</td>
<td>5600</td>
<td>3640</td>
<td>2408</td>
<td>1680</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>14.583333</td>
<td>7000</td>
<td>7000</td>
<td>4550</td>
<td>3010</td>
<td>2100</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>23.333333</td>
<td>11200</td>
<td>11200</td>
<td>7280</td>
<td>4816</td>
<td>3360</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>29.166666</td>
<td>14000</td>
<td>14000</td>
<td>9100</td>
<td>6020</td>
<td>4200</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn6v.24xlarge</td>
<td>96</td>
<td>384</td>
<td>237.125</td>
<td>68292</td>
<td>68292</td>
<td>58048.2</td>
<td>37560.6</td>
<td>25950.96</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>20.26</td>
<td>9724</td>
<td>9724</td>
<td>8265.4</td>
<td>5348.2</td>
<td>3695.12</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmr6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>34.45</td>
<td>16536</td>
<td>16536</td>
<td>14055.6</td>
<td>9094.8</td>
<td>6283.68</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>29.167</td>
<td>14000</td>
<td>14000</td>
<td>11900</td>
<td>7700</td>
<td>5320</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>22</td>
<td>10560</td>
<td>10560</td>
<td>8976</td>
<td>5808</td>
<td>4012.8</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>17.917</td>
<td>8600</td>
<td>8600</td>
<td>7310</td>
<td>4730</td>
<td>3268</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.115</td>
<td>33</td>
<td>33</td>
<td>28.05</td>
<td>18.15</td>
<td>12.54</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.208</td>
<td>60</td>
<td>60</td>
<td>51</td>
<td>33</td>
<td>22.8</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.small</td>
<td>1</td>
<td>4</td>
<td>0.312</td>
<td>90</td>
<td>90</td>
<td>76.5</td>
<td>49.5</td>
<td>34.2</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.417</td>
<td>120</td>
<td>120</td>
<td>102</td>
<td>66</td>
<td>45.6</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.625</td>
<td>180</td>
<td>180</td>
<td>153</td>
<td>99</td>
<td>68.4</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.833</td>
<td>240</td>
<td>240</td>
<td>204</td>
<td>132</td>
<td>91.2</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.25</td>
<td>360</td>
<td>360</td>
<td>306</td>
<td>198</td>
<td>136.8</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>720</td>
<td>612</td>
<td>396</td>
<td>273.6</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.667</td>
<td>480</td>
<td>480</td>
<td>408</td>
<td>264</td>
<td>182.4</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.4xlarge</td>
<td>16</td>
<td>256</td>
<td>7.965825</td>
<td>3823.6</td>
<td>3823.6</td>
<td>2485.34</td>
<td>1644.15</td>
<td>1147.08</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.8xlarge</td>
<td>32</td>
<td>512</td>
<td>15.93165</td>
<td>7647.19</td>
<td>7647.19</td>
<td>4970.68</td>
<td>3288.29</td>
<td>2294.16</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.13xlarge</td>
<td>52</td>
<td>768</td>
<td>25.675</td>
<td>12324</td>
<td>12324</td>
<td>8010.6</td>
<td>5299.32</td>
<td>3697.2</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.16xlarge</td>
<td>64</td>
<td>1024</td>
<td>31.863301</td>
<td>15294.38</td>
<td>15294.38</td>
<td>9941.35</td>
<td>6576.59</td>
<td>4588.32</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.26xlarge</td>
<td>104</td>
<td>1536</td>
<td>51.35</td>
<td>24648</td>
<td>24648</td>
<td>16021.2</td>
<td>10598.64</td>
<td>7394.4</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.52xlarge</td>
<td>208</td>
<td>3072</td>
<td>102.7</td>
<td>49296</td>
<td>49296</td>
<td>32042.4</td>
<td>21197.28</td>
<td>14788.8</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmr6a.64xlarge</td>
<td>256</td>
<td>2048</td>
<td>76.32</td>
<td>36633.6</td>
<td>36633.6</td>
<td>31138.56</td>
<td>20148.48</td>
<td>13920.77</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc6a.64xlarge</td>
<td>256</td>
<td>512</td>
<td>37.547</td>
<td>18022.4</td>
<td>18022.4</td>
<td>15319.04</td>
<td>9912.32</td>
<td>6848.51</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg6a.64xlarge</td>
<td>256</td>
<td>1024</td>
<td>56.32</td>
<td>27033.6</td>
<td>27033.6</td>
<td>22978.56</td>
<td>14868.48</td>
<td>10272.77</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>0.729</td>
<td>350</td>
<td>350</td>
<td>227.5</td>
<td>150.5</td>
<td>105</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.458</td>
<td>700</td>
<td>700</td>
<td>455</td>
<td>301</td>
<td>210</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.917</td>
<td>1400</td>
<td>1400</td>
<td>910</td>
<td>602</td>
<td>420</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.833</td>
<td>2800</td>
<td>2800</td>
<td>1820</td>
<td>1204</td>
<td>840</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.667</td>
<td>5600</td>
<td>5600</td>
<td>3640</td>
<td>2408</td>
<td>1680</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>18.958</td>
<td>9100</td>
<td>9100</td>
<td>5915</td>
<td>3913</td>
<td>2730</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.41</td>
<td>197</td>
<td>197</td>
<td>128.05</td>
<td>84.71</td>
<td>59.1</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.821</td>
<td>394</td>
<td>394</td>
<td>256.1</td>
<td>169.42</td>
<td>118.2</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.642</td>
<td>788</td>
<td>788</td>
<td>512.2</td>
<td>338.84</td>
<td>236.4</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.283</td>
<td>1576</td>
<td>1576</td>
<td>1024.4</td>
<td>677.68</td>
<td>472.8</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.567</td>
<td>3152</td>
<td>3152</td>
<td>2048.8</td>
<td>1355.36</td>
<td>945.6</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.671</td>
<td>5122</td>
<td>5122</td>
<td>3329.3</td>
<td>2202.46</td>
<td>1536.6</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>21.342</td>
<td>10244</td>
<td>10244</td>
<td>6658.6</td>
<td>4404.92</td>
<td>3073.2</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.large</td>
<td>2</td>
<td>4</td>
<td>0.422916</td>
<td>203</td>
<td>203</td>
<td>131.95</td>
<td>87.29</td>
<td>60.9</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.845833</td>
<td>406</td>
<td>406</td>
<td>263.9</td>
<td>174.58</td>
<td>121.8</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.691666</td>
<td>812</td>
<td>812</td>
<td>527.8</td>
<td>349.16</td>
<td>243.6</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.383333</td>
<td>1624</td>
<td>1624</td>
<td>1055.6</td>
<td>698.32</td>
<td>487.2</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.764583</td>
<td>3247</td>
<td>3247</td>
<td>2110.55</td>
<td>1396.21</td>
<td>974.1</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.991666</td>
<td>5276</td>
<td>5276</td>
<td>3429.4</td>
<td>2268.68</td>
<td>1582.8</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.26xlarge</td>
<td>104</td>
<td>192</td>
<td>21.983333</td>
<td>10552</td>
<td>10552</td>
<td>6858.8</td>
<td>4537.36</td>
<td>3165.6</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.large</td>
<td>2</td>
<td>8</td>
<td>0.989062</td>
<td>474.75</td>
<td>474.75</td>
<td>308.59</td>
<td>204.14</td>
<td>142.43</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.large</td>
<td>2</td>
<td>8</td>
<td>0.989</td>
<td>474.75</td>
<td>474.75</td>
<td>308.59</td>
<td>204.14</td>
<td>142.43</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.978125</td>
<td>949.5</td>
<td>949.5</td>
<td>617.18</td>
<td>408.29</td>
<td>284.85</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.978</td>
<td>949.5</td>
<td>949.5</td>
<td>617.18</td>
<td>408.29</td>
<td>284.85</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.95625</td>
<td>1899</td>
<td>1899</td>
<td>1234.35</td>
<td>816.57</td>
<td>569.7</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.956</td>
<td>1899</td>
<td>1899</td>
<td>1234.35</td>
<td>816.57</td>
<td>569.7</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.9125</td>
<td>3798</td>
<td>3798</td>
<td>2468.7</td>
<td>1633.14</td>
<td>1139.4</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.13xlarge</td>
<td>52</td>
<td>192</td>
<td>23.7375</td>
<td>11394</td>
<td>11394</td>
<td>7406.1</td>
<td>4899.42</td>
<td>3418.2</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.13xlarge</td>
<td>52</td>
<td>192</td>
<td>23.738</td>
<td>11394</td>
<td>11394</td>
<td>7406.1</td>
<td>4899.42</td>
<td>3418.2</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.26xlarge</td>
<td>104</td>
<td>384</td>
<td>47.475</td>
<td>22788</td>
<td>22788</td>
<td>14812.2</td>
<td>9798.84</td>
<td>6836.4</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.large</td>
<td>2</td>
<td>4</td>
<td>0.293</td>
<td>140.8</td>
<td>140.8</td>
<td>91.52</td>
<td>60.54</td>
<td>42.24</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.587</td>
<td>281.6</td>
<td>281.6</td>
<td>183.04</td>
<td>121.09</td>
<td>84.48</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>366.08</td>
<td>242.18</td>
<td>168.96</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.347</td>
<td>1126.4</td>
<td>1126.4</td>
<td>732.16</td>
<td>484.35</td>
<td>337.92</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1464.32</td>
<td>968.7</td>
<td>675.84</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>2928.64</td>
<td>1937.41</td>
<td>1351.68</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>18.773</td>
<td>9011.2</td>
<td>9011.2</td>
<td>5857.28</td>
<td>3874.82</td>
<td>2703.36</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.large</td>
<td>2</td>
<td>16</td>
<td>0.596</td>
<td>286.2</td>
<td>286.2</td>
<td>186.03</td>
<td>123.07</td>
<td>85.86</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.192</td>
<td>572.4</td>
<td>572.4</td>
<td>372.06</td>
<td>246.13</td>
<td>171.72</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>744.12</td>
<td>492.26</td>
<td>343.44</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1488.24</td>
<td>984.53</td>
<td>686.88</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>2976.48</td>
<td>1969.06</td>
<td>1373.76</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>19.08</td>
<td>9158.4</td>
<td>9158.4</td>
<td>5952.96</td>
<td>3938.11</td>
<td>2747.52</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.large</td>
<td>2</td>
<td>8</td>
<td>0.44</td>
<td>211.2</td>
<td>211.2</td>
<td>137.28</td>
<td>90.82</td>
<td>63.36</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.88</td>
<td>422.4</td>
<td>422.4</td>
<td>274.56</td>
<td>181.63</td>
<td>126.72</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>549.12</td>
<td>363.26</td>
<td>253.44</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.52</td>
<td>1689.6</td>
<td>1689.6</td>
<td>1098.24</td>
<td>726.53</td>
<td>506.88</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2196.48</td>
<td>1453.06</td>
<td>1013.76</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>4392.96</td>
<td>2906.11</td>
<td>2027.52</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>28.16</td>
<td>13516.8</td>
<td>13516.8</td>
<td>8785.92</td>
<td>5812.22</td>
<td>4055.04</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.large</td>
<td>2</td>
<td>4</td>
<td>0.311666</td>
<td>149.6</td>
<td>149.6</td>
<td>97.24</td>
<td>64.33</td>
<td>44.88</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.623333</td>
<td>299.2</td>
<td>299.2</td>
<td>194.48</td>
<td>128.66</td>
<td>89.76</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.246666</td>
<td>598.4</td>
<td>598.4</td>
<td>388.96</td>
<td>257.31</td>
<td>179.52</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.493333</td>
<td>1196.8</td>
<td>1196.8</td>
<td>777.92</td>
<td>514.62</td>
<td>359.04</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.986666</td>
<td>2393.6</td>
<td>2393.6</td>
<td>1555.84</td>
<td>1029.25</td>
<td>718.08</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.973333</td>
<td>4787.2</td>
<td>4787.2</td>
<td>3111.68</td>
<td>2058.5</td>
<td>1436.16</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.large</td>
<td>2</td>
<td>8</td>
<td>0.4</td>
<td>192</td>
<td>192</td>
<td>124.8</td>
<td>82.56</td>
<td>57.6</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.8</td>
<td>384</td>
<td>384</td>
<td>249.6</td>
<td>165.12</td>
<td>115.2</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.6</td>
<td>768</td>
<td>768</td>
<td>499.2</td>
<td>330.24</td>
<td>230.4</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.2</td>
<td>1536</td>
<td>1536</td>
<td>998.4</td>
<td>660.48</td>
<td>460.8</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.8xlarge</td>
<td>32</td>
<td>128</td>
<td>6.4</td>
<td>3072</td>
<td>3072</td>
<td>1996.8</td>
<td>1320.96</td>
<td>921.6</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.16xlarge</td>
<td>64</td>
<td>256</td>
<td>12.8</td>
<td>6144</td>
<td>6144</td>
<td>3993.6</td>
<td>2641.92</td>
<td>1843.2</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m4-vws.xlarge</td>
<td>4</td>
<td>23</td>
<td>3.273719</td>
<td>1571.39</td>
<td>1571.39</td>
<td>1335.68</td>
<td>864.26</td>
<td>597.13</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m8-vws.2xlarge</td>
<td>10</td>
<td>46</td>
<td>5.909491</td>
<td>2836.56</td>
<td>2836.56</td>
<td>2411.07</td>
<td>1560.11</td>
<td>1077.89</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m16-vws.5xlarge</td>
<td>20</td>
<td>92</td>
<td>11.186194</td>
<td>5369.37</td>
<td>5369.37</td>
<td>4563.97</td>
<td>2953.16</td>
<td>2040.36</td>
</tr>
<tr>
<td>ARM GPU计算型弹性裸金属服务器 ecs.ebmgn6ia.20xlarge</td>
<td>80</td>
<td>256</td>
<td>33.006185</td>
<td>15842.97</td>
<td>15842.97</td>
<td>13466.52</td>
<td>8713.63</td>
<td>6020.33</td>
</tr>
<tr>
<td>GPU图形计算型 ecs.ebmgi6s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>15.09375</td>
<td>7245</td>
<td>7245</td>
<td>6158.25</td>
<td>3984.75</td>
<td>2753.1</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>12.78</td>
<td>3681</td>
<td>3681</td>
<td>3128.85</td>
<td>1914.12</td>
<td>1288.35</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>15.39</td>
<td>4433</td>
<td>4433</td>
<td>3768.05</td>
<td>2305.16</td>
<td>1551.55</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>25.57</td>
<td>7363</td>
<td>7363</td>
<td>6258.55</td>
<td>3828.76</td>
<td>2577.05</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>30.78</td>
<td>8866</td>
<td>8866</td>
<td>7536.1</td>
<td>4610.32</td>
<td>3103.1</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>23.88</td>
<td>6877</td>
<td>6877</td>
<td>5845.45</td>
<td>3576.04</td>
<td>2406.95</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.8xlarge</td>
<td>32</td>
<td>240</td>
<td>61.57</td>
<td>17731</td>
<td>17731</td>
<td>15071.35</td>
<td>9220.12</td>
<td>6205.85</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.14xlarge</td>
<td>54</td>
<td>480</td>
<td>123.13</td>
<td>35462</td>
<td>35462</td>
<td>30142.7</td>
<td>18440.24</td>
<td>12411.7</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>47.75</td>
<td>13753</td>
<td>13753</td>
<td>11690.05</td>
<td>7151.56</td>
<td>4813.55</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.62</td>
<td>179</td>
<td>179</td>
<td>152.15</td>
<td>98.45</td>
<td>68.02</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.24</td>
<td>358</td>
<td>358</td>
<td>304.3</td>
<td>196.9</td>
<td>136.04</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.49</td>
<td>716</td>
<td>716</td>
<td>608.6</td>
<td>393.8</td>
<td>272.08</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.73</td>
<td>1074</td>
<td>1074</td>
<td>912.9</td>
<td>590.7</td>
<td>408.12</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.97</td>
<td>1432</td>
<td>1432</td>
<td>1217.2</td>
<td>787.6</td>
<td>544.16</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.46</td>
<td>2148</td>
<td>2148</td>
<td>1825.8</td>
<td>1181.4</td>
<td>816.24</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.94</td>
<td>2864</td>
<td>2864</td>
<td>2434.4</td>
<td>1575.2</td>
<td>1088.32</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.89</td>
<td>5728</td>
<td>5728</td>
<td>4868.8</td>
<td>3150.4</td>
<td>2176.64</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.89</td>
<td>255</td>
<td>255</td>
<td>216.75</td>
<td>140.25</td>
<td>96.9</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.77</td>
<td>510</td>
<td>510</td>
<td>433.5</td>
<td>280.5</td>
<td>193.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.31</td>
<td>1530</td>
<td>1530</td>
<td>1300.5</td>
<td>841.5</td>
<td>581.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.08</td>
<td>2040</td>
<td>2040</td>
<td>1734</td>
<td>1122</td>
<td>775.2</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.63</td>
<td>3060</td>
<td>3060</td>
<td>2601</td>
<td>1683</td>
<td>1162.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.17</td>
<td>4080</td>
<td>4080</td>
<td>3468</td>
<td>2244</td>
<td>1550.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>28.33</td>
<td>8160</td>
<td>8160</td>
<td>6936</td>
<td>4488</td>
<td>3100.8</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>1.13</td>
<td>326</td>
<td>326</td>
<td>277.1</td>
<td>179.3</td>
<td>123.88</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.26</td>
<td>652</td>
<td>652</td>
<td>554.2</td>
<td>358.6</td>
<td>247.76</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.53</td>
<td>1304</td>
<td>1304</td>
<td>1108.4</td>
<td>717.2</td>
<td>495.52</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.79</td>
<td>1956</td>
<td>1956</td>
<td>1662.6</td>
<td>1075.8</td>
<td>743.28</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.06</td>
<td>2608</td>
<td>2608</td>
<td>2216.8</td>
<td>1434.4</td>
<td>991.04</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>13.58</td>
<td>3912</td>
<td>3912</td>
<td>3325.2</td>
<td>2151.6</td>
<td>1486.56</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.11</td>
<td>5216</td>
<td>5216</td>
<td>4433.6</td>
<td>2868.8</td>
<td>1982.08</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>36.22</td>
<td>10432</td>
<td>10432</td>
<td>8867.2</td>
<td>5737.6</td>
<td>3964.16</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.87</td>
<td>251</td>
<td>251</td>
<td>208.33</td>
<td>125.5</td>
<td>82.83</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.74</td>
<td>502</td>
<td>502</td>
<td>416.66</td>
<td>251</td>
<td>165.66</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.49</td>
<td>1004</td>
<td>1004</td>
<td>833.32</td>
<td>502</td>
<td>331.32</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>5.23</td>
<td>1506</td>
<td>1506</td>
<td>1249.98</td>
<td>753</td>
<td>496.98</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.97</td>
<td>2008</td>
<td>2008</td>
<td>1666.64</td>
<td>1004</td>
<td>662.64</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>10.46</td>
<td>3012</td>
<td>3012</td>
<td>2499.96</td>
<td>1506</td>
<td>993.96</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>13.94</td>
<td>4016</td>
<td>4016</td>
<td>3333.28</td>
<td>2008</td>
<td>1325.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>1.15</td>
<td>332</td>
<td>332</td>
<td>268.92</td>
<td>162.68</td>
<td>106.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.31</td>
<td>664</td>
<td>664</td>
<td>537.84</td>
<td>325.36</td>
<td>212.48</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.61</td>
<td>1328</td>
<td>1328</td>
<td>1075.68</td>
<td>650.72</td>
<td>424.96</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.92</td>
<td>1992</td>
<td>1992</td>
<td>1613.52</td>
<td>976.08</td>
<td>637.44</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>9.22</td>
<td>2656</td>
<td>2656</td>
<td>2151.36</td>
<td>1301.44</td>
<td>849.92</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>13.83</td>
<td>3984</td>
<td>3984</td>
<td>3227.04</td>
<td>1952.16</td>
<td>1274.88</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>18.44</td>
<td>5312</td>
<td>5312</td>
<td>4302.72</td>
<td>2602.88</td>
<td>1699.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>30.58</td>
<td>8808</td>
<td>8808</td>
<td>7134.48</td>
<td>4315.92</td>
<td>2818.56</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c2g1.large</td>
<td>2</td>
<td>8</td>
<td>8.68</td>
<td>2500</td>
<td>2375</td>
<td>1875</td>
<td>1125</td>
<td>750</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c4g1.xlarge</td>
<td>4</td>
<td>16</td>
<td>9.69</td>
<td>2790</td>
<td>2650.5</td>
<td>2092.5</td>
<td>1255.5</td>
<td>837</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>11.67</td>
<td>3360</td>
<td>3192</td>
<td>2520</td>
<td>1512</td>
<td>1008</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c16g1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>15.63</td>
<td>4500</td>
<td>4275</td>
<td>3375</td>
<td>2025</td>
<td>1350</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c16g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>31.25</td>
<td>9000</td>
<td>8550</td>
<td>6750</td>
<td>4050</td>
<td>2700</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>43.06</td>
<td>12400</td>
<td>11780</td>
<td>9300</td>
<td>5580</td>
<td>3720</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.063</td>
<td>18</td>
<td>17.1</td>
<td>13.5</td>
<td>8.1</td>
<td>5.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.083</td>
<td>24</td>
<td>22.8</td>
<td>18</td>
<td>10.8</td>
<td>7.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.167</td>
<td>48</td>
<td>45.6</td>
<td>36</td>
<td>21.6</td>
<td>14.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.29</td>
<td>83</td>
<td>78.85</td>
<td>62.25</td>
<td>37.35</td>
<td>24.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.4</td>
<td>116</td>
<td>110.2</td>
<td>87</td>
<td>52.2</td>
<td>34.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.63</td>
<td>180</td>
<td>171</td>
<td>135</td>
<td>81</td>
<td>54</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.333</td>
<td>96</td>
<td>91.2</td>
<td>72</td>
<td>43.2</td>
<td>28.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.55</td>
<td>159</td>
<td>151.05</td>
<td>119.25</td>
<td>71.55</td>
<td>47.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.58</td>
<td>167</td>
<td>158.65</td>
<td>125.25</td>
<td>75.15</td>
<td>50.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.8</td>
<td>231</td>
<td>219.45</td>
<td>173.25</td>
<td>103.95</td>
<td>69.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.25</td>
<td>360</td>
<td>342</td>
<td>270</td>
<td>162</td>
<td>108</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.16</td>
<td>333</td>
<td>316.35</td>
<td>249.75</td>
<td>149.85</td>
<td>99.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.6</td>
<td>462</td>
<td>438.9</td>
<td>346.5</td>
<td>207.9</td>
<td>138.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>684</td>
<td>540</td>
<td>324</td>
<td>216</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>2.31</td>
<td>666</td>
<td>632.7</td>
<td>499.5</td>
<td>299.7</td>
<td>199.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.21</td>
<td>924</td>
<td>877.8</td>
<td>693</td>
<td>415.8</td>
<td>277.2</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg5.24xlarge</td>
<td>96</td>
<td>384</td>
<td>42.5</td>
<td>12240</td>
<td>11628</td>
<td>9180</td>
<td>5508</td>
<td>3672</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.53</td>
<td>1594</td>
<td>1594</td>
<td>1291.14</td>
<td>781.06</td>
<td>510.08</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.59</td>
<td>170</td>
<td>170</td>
<td>144.5</td>
<td>93.5</td>
<td>64.6</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.18</td>
<td>340</td>
<td>340</td>
<td>289</td>
<td>187</td>
<td>129.2</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.36</td>
<td>680</td>
<td>680</td>
<td>578</td>
<td>374</td>
<td>258.4</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.72</td>
<td>1360</td>
<td>1360</td>
<td>1156</td>
<td>748</td>
<td>516.8</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>7.09</td>
<td>2041</td>
<td>2041</td>
<td>1734.85</td>
<td>1122.55</td>
<td>775.58</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>9.45</td>
<td>2721</td>
<td>2721</td>
<td>2312.85</td>
<td>1496.55</td>
<td>1033.98</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>18.9</td>
<td>5442</td>
<td>5442</td>
<td>4625.7</td>
<td>2993.1</td>
<td>2067.96</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg5s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>42.5</td>
<td>12240</td>
<td>11628</td>
<td>9180</td>
<td>5508</td>
<td>3672</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc5s.24xlarge</td>
<td>96</td>
<td>192</td>
<td>29.83</td>
<td>8592</td>
<td>8592</td>
<td>7303.2</td>
<td>4725.6</td>
<td>3264.96</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.649479</td>
<td>311.75</td>
<td>311.75</td>
<td>202.64</td>
<td>134.05</td>
<td>93.53</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.298958</td>
<td>623.5</td>
<td>623.5</td>
<td>405.28</td>
<td>268.11</td>
<td>187.05</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.33</td>
<td>1247</td>
<td>1247</td>
<td>810.55</td>
<td>536.21</td>
<td>374.1</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.66</td>
<td>2494</td>
<td>2494</td>
<td>1621.1</td>
<td>1072.42</td>
<td>748.2</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>17.32</td>
<td>4988</td>
<td>4988</td>
<td>3242.2</td>
<td>2144.84</td>
<td>1496.4</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>34.64</td>
<td>9976</td>
<td>9976</td>
<td>6484.4</td>
<td>4289.68</td>
<td>2992.8</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>38.97</td>
<td>11223</td>
<td>11223</td>
<td>7294.95</td>
<td>4825.89</td>
<td>3366.9</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmr5s.24xlarge</td>
<td>96</td>
<td>768</td>
<td>54.33</td>
<td>15648</td>
<td>15648</td>
<td>13300.8</td>
<td>8606.4</td>
<td>5946.24</td>
</tr>
<tr>
<td>通用型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.29</td>
<td>84</td>
<td>84</td>
<td>71.4</td>
<td>42</td>
<td>42</td>
</tr>
<tr>
<td>通用型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.71</td>
<td>204</td>
<td>204</td>
<td>173.4</td>
<td>102</td>
<td>102</td>
</tr>
<tr>
<td>通用型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.42</td>
<td>408</td>
<td>408</td>
<td>346.8</td>
<td>204</td>
<td>204</td>
</tr>
<tr>
<td>通用型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.83</td>
<td>816</td>
<td>816</td>
<td>693.6</td>
<td>408</td>
<td>408</td>
</tr>
<tr>
<td>通用型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.67</td>
<td>1632</td>
<td>1632</td>
<td>1387.2</td>
<td>816</td>
<td>816</td>
</tr>
<tr>
<td>通用型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.33</td>
<td>3264</td>
<td>3264</td>
<td>2774.4</td>
<td>1632</td>
<td>1632</td>
</tr>
<tr>
<td>通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.54</td>
<td>155</td>
<td>155</td>
<td>131.75</td>
<td>77.5</td>
<td>77.5</td>
</tr>
<tr>
<td>通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>1.08</td>
<td>310</td>
<td>310</td>
<td>263.5</td>
<td>155</td>
<td>155</td>
</tr>
<tr>
<td>通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.15</td>
<td>620</td>
<td>620</td>
<td>527</td>
<td>310</td>
<td>310</td>
</tr>
<tr>
<td>通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.3</td>
<td>1240</td>
<td>1240</td>
<td>1054</td>
<td>620</td>
<td>620</td>
</tr>
<tr>
<td>通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.61</td>
<td>2480</td>
<td>2480</td>
<td>2108</td>
<td>1240</td>
<td>1240</td>
</tr>
<tr>
<td>通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>17.22</td>
<td>4960</td>
<td>4960</td>
<td>4216</td>
<td>2480</td>
<td>2480</td>
</tr>
<tr>
<td>通用型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.16</td>
<td>45</td>
<td>45</td>
<td>38.25</td>
<td>22.5</td>
<td>22.5</td>
</tr>
<tr>
<td>经济型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.9</td>
<td>260</td>
<td>260</td>
<td>221</td>
<td>130</td>
<td>130</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.10xlarge</td>
<td>40</td>
<td>480</td>
<td>34.375</td>
<td>9900</td>
<td>9900</td>
<td>8415</td>
<td>4950</td>
<td>4950</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.20xlarge</td>
<td>80</td>
<td>960</td>
<td>68.75</td>
<td>19800</td>
<td>19800</td>
<td>16830</td>
<td>9900</td>
<td>9900</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.40xlarge</td>
<td>160</td>
<td>1920</td>
<td>137.5</td>
<td>39600</td>
<td>39600</td>
<td>33660</td>
<td>19800</td>
<td>19800</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.84</td>
<td>3150</td>
<td>3150</td>
<td>2677.5</td>
<td>1732.5</td>
<td>1197</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.734</td>
<td>3232.32</td>
<td>3232.32</td>
<td>2101.01</td>
<td>1389.9</td>
<td>969.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.468</td>
<td>6464.64</td>
<td>6464.64</td>
<td>4202.02</td>
<td>2779.8</td>
<td>1939.39</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.16xlarge</td>
<td>64</td>
<td>512</td>
<td>26.936</td>
<td>12929.28</td>
<td>12929.28</td>
<td>8404.03</td>
<td>5559.59</td>
<td>3878.78</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>53.872</td>
<td>25858.56</td>
<td>25858.56</td>
<td>16808.06</td>
<td>11119.18</td>
<td>7757.57</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.6245</td>
<td>2699.7</td>
<td>2699.7</td>
<td>1754.81</td>
<td>1160.87</td>
<td>809.91</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.249</td>
<td>5399.4</td>
<td>5399.4</td>
<td>3509.61</td>
<td>2321.74</td>
<td>1619.82</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.497</td>
<td>10798.8</td>
<td>10798.8</td>
<td>7019.22</td>
<td>4643.48</td>
<td>3239.64</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4g.32xlarge</td>
<td>128</td>
<td>512</td>
<td>44.995</td>
<td>21597.6</td>
<td>21597.6</td>
<td>14038.44</td>
<td>9286.97</td>
<td>6479.28</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.956</td>
<td>1899</td>
<td>1899</td>
<td>1234.35</td>
<td>816.57</td>
<td>569.7</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.912</td>
<td>3798</td>
<td>3798</td>
<td>2468.7</td>
<td>1633.14</td>
<td>1139.4</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.869</td>
<td>5697</td>
<td>5697</td>
<td>3703.05</td>
<td>2449.71</td>
<td>1709.1</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.825</td>
<td>7596</td>
<td>7596</td>
<td>4937.4</td>
<td>3266.28</td>
<td>2278.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.large</td>
<td>2</td>
<td>16</td>
<td>0.957291</td>
<td>459.5</td>
<td>459.5</td>
<td>298.68</td>
<td>197.59</td>
<td>137.85</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.914583</td>
<td>919</td>
<td>919</td>
<td>597.35</td>
<td>395.17</td>
<td>275.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.829166</td>
<td>1838</td>
<td>1838</td>
<td>1194.7</td>
<td>790.34</td>
<td>551.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.658333</td>
<td>3676</td>
<td>3676</td>
<td>2389.4</td>
<td>1580.68</td>
<td>1102.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.316666</td>
<td>7352</td>
<td>7352</td>
<td>4778.8</td>
<td>3161.36</td>
<td>2205.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.16xlarge</td>
<td>64</td>
<td>512</td>
<td>30.633333</td>
<td>14704</td>
<td>14704</td>
<td>9557.6</td>
<td>6322.72</td>
<td>4411.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>61.266666</td>
<td>29408</td>
<td>29408</td>
<td>19115.2</td>
<td>12645.44</td>
<td>8822.4</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c4f1.xlarge</td>
<td>4</td>
<td>16</td>
<td>7.312</td>
<td>3510</td>
<td>3510</td>
<td>2983.5</td>
<td>1930.5</td>
<td>3510</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c8f1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>8.375</td>
<td>4020</td>
<td>4020</td>
<td>3417</td>
<td>2211</td>
<td>4020</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.5</td>
<td>5040</td>
<td>5040</td>
<td>4284</td>
<td>2772</td>
<td>5040</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21</td>
<td>10080</td>
<td>10080</td>
<td>8568</td>
<td>5544</td>
<td>10080</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>42</td>
<td>20160</td>
<td>20160</td>
<td>17136</td>
<td>11088</td>
<td>20160</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.059</td>
<td>988</td>
<td>988</td>
<td>642.2</td>
<td>424.84</td>
<td>296.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.117</td>
<td>1976</td>
<td>1976</td>
<td>1284.4</td>
<td>849.68</td>
<td>592.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.234</td>
<td>3952</td>
<td>3952</td>
<td>2568.8</td>
<td>1699.36</td>
<td>1185.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.467</td>
<td>7904</td>
<td>7904</td>
<td>5137.6</td>
<td>3398.72</td>
<td>2371.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.13xlarge</td>
<td>52</td>
<td>384</td>
<td>24.7</td>
<td>11856</td>
<td>11856</td>
<td>7706.4</td>
<td>5098.08</td>
<td>3556.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.26xlarge</td>
<td>104</td>
<td>768</td>
<td>49.4</td>
<td>23712</td>
<td>23712</td>
<td>15412.8</td>
<td>10196.16</td>
<td>7113.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.8</td>
<td>1344</td>
<td>1344</td>
<td>873.6</td>
<td>577.92</td>
<td>403.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.6</td>
<td>2688</td>
<td>2688</td>
<td>1747.2</td>
<td>1155.84</td>
<td>806.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.2</td>
<td>5376</td>
<td>5376</td>
<td>3494.4</td>
<td>2311.68</td>
<td>1612.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.13xlarge</td>
<td>52</td>
<td>192</td>
<td>16.8</td>
<td>8064</td>
<td>8064</td>
<td>5241.6</td>
<td>3467.52</td>
<td>2419.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.26xlarge</td>
<td>104</td>
<td>384</td>
<td>33.6</td>
<td>16128</td>
<td>16128</td>
<td>10483.2</td>
<td>6935.04</td>
<td>4838.4</td>
</tr>
<tr>
<td>大数据计算型 ecs.d3c.3xlarge</td>
<td>14</td>
<td>56</td>
<td>7.103</td>
<td>3409.6</td>
<td>3409.6</td>
<td>2216.24</td>
<td>1466.13</td>
<td>1022.88</td>
</tr>
<tr>
<td>大数据计算型 ecs.d3c.7xlarge</td>
<td>28</td>
<td>112</td>
<td>14.207</td>
<td>6819.2</td>
<td>6819.2</td>
<td>4432.48</td>
<td>2932.26</td>
<td>2045.76</td>
</tr>
<tr>
<td>大数据计算型 ecs.d3c.14xlarge</td>
<td>56</td>
<td>224</td>
<td>28.413</td>
<td>13638.41</td>
<td>13638.41</td>
<td>8864.96</td>
<td>5864.52</td>
<td>4091.52</td>
</tr>
<tr>
<td>大数据存储型 ecs.d3s.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.181064</td>
<td>2486.91</td>
<td>2486.91</td>
<td>1616.49</td>
<td>1069.37</td>
<td>746.07</td>
</tr>
<tr>
<td>大数据存储型 ecs.d3s.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.362131</td>
<td>4973.82</td>
<td>4973.82</td>
<td>3232.99</td>
<td>2138.74</td>
<td>1492.15</td>
</tr>
<tr>
<td>大数据存储型 ecs.d3s.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.724262</td>
<td>9947.65</td>
<td>9947.65</td>
<td>6465.97</td>
<td>4277.49</td>
<td>2984.29</td>
</tr>
<tr>
<td>大数据存储型 ecs.d3s.12xlarge</td>
<td>48</td>
<td>192</td>
<td>31.086393</td>
<td>14921.47</td>
<td>14921.47</td>
<td>9698.95</td>
<td>6416.23</td>
<td>4476.44</td>
</tr>
<tr>
<td>大数据存储型 ecs.d3s.16xlarge</td>
<td>64</td>
<td>256</td>
<td>41.448525</td>
<td>19895.29</td>
<td>19895.29</td>
<td>12931.94</td>
<td>8554.98</td>
<td>5968.59</td>
</tr>
<tr>
<td>ecs.sn2ne.large</td>
<td>2</td>
<td>8</td>
<td>0.99</td>
<td>286</td>
<td>286</td>
<td>243.1</td>
<td>157.3</td>
<td>108.68</td>
</tr>
<tr>
<td>ecs.sn2ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.99</td>
<td>572</td>
<td>572</td>
<td>486.2</td>
<td>314.6</td>
<td>217.36</td>
</tr>
<tr>
<td>ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.97</td>
<td>1144</td>
<td>1144</td>
<td>972.4</td>
<td>629.2</td>
<td>434.72</td>
</tr>
<tr>
<td>ecs.sn2ne.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.96</td>
<td>1716</td>
<td>1716</td>
<td>1458.6</td>
<td>943.8</td>
<td>652.08</td>
</tr>
<tr>
<td>ecs.sn2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.94</td>
<td>2288</td>
<td>2288</td>
<td>1944.8</td>
<td>1258.4</td>
<td>869.44</td>
</tr>
<tr>
<td>ecs.sn2ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.92</td>
<td>3432</td>
<td>3432</td>
<td>2917.2</td>
<td>1887.6</td>
<td>1304.16</td>
</tr>
<tr>
<td>ecs.sn2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.89</td>
<td>4576</td>
<td>4576</td>
<td>3889.6</td>
<td>2516.8</td>
<td>1738.88</td>
</tr>
<tr>
<td>ecs.sn2ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>27.81</td>
<td>8008</td>
<td>8008</td>
<td>6806.8</td>
<td>4404.4</td>
<td>3043.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.88</td>
<td>904</td>
<td>904</td>
<td>587.6</td>
<td>388.72</td>
<td>271.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.77</td>
<td>1808</td>
<td>1808</td>
<td>1175.2</td>
<td>777.44</td>
<td>542.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.53</td>
<td>3616</td>
<td>3616</td>
<td>2350.4</td>
<td>1554.88</td>
<td>1084.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.07</td>
<td>7232</td>
<td>7232</td>
<td>4700.8</td>
<td>3109.76</td>
<td>2169.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>30.13</td>
<td>14464</td>
<td>14464</td>
<td>9401.6</td>
<td>6219.52</td>
<td>4339.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.073</td>
<td>1475</td>
<td>1475</td>
<td>958.75</td>
<td>634.25</td>
<td>442.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.146</td>
<td>2950</td>
<td>2950</td>
<td>1917.5</td>
<td>1268.5</td>
<td>885</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.292</td>
<td>5900</td>
<td>5900</td>
<td>3835</td>
<td>2537</td>
<td>1770</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>24.584</td>
<td>11800</td>
<td>11800</td>
<td>7670</td>
<td>5074</td>
<td>3540</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.974</td>
<td>949.2</td>
<td>949.2</td>
<td>616.98</td>
<td>408.16</td>
<td>284.76</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.948</td>
<td>1898.4</td>
<td>1898.4</td>
<td>1233.96</td>
<td>816.31</td>
<td>569.52</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.896</td>
<td>3796.8</td>
<td>3796.8</td>
<td>2467.92</td>
<td>1632.62</td>
<td>1139.04</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.792</td>
<td>7593.6</td>
<td>7593.6</td>
<td>4935.84</td>
<td>3265.25</td>
<td>2278.08</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>512</td>
<td>31.584</td>
<td>15187.2</td>
<td>15187.2</td>
<td>9871.68</td>
<td>6530.5</td>
<td>4556.16</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.20xlarge</td>
<td>80</td>
<td>704</td>
<td>39.48</td>
<td>18984</td>
<td>18984</td>
<td>12339.6</td>
<td>8163.12</td>
<td>5695.2</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.227</td>
<td>1549</td>
<td>1549</td>
<td>1006.85</td>
<td>666.07</td>
<td>464.7</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.454</td>
<td>3098</td>
<td>3098</td>
<td>2013.7</td>
<td>1332.14</td>
<td>929.4</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.907</td>
<td>6196</td>
<td>6196</td>
<td>4027.4</td>
<td>2664.28</td>
<td>1858.8</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>25.816</td>
<td>12392</td>
<td>12392</td>
<td>8054.8</td>
<td>5328.56</td>
<td>3717.6</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>14.73</td>
<td>4242</td>
<td>4242</td>
<td>2757.3</td>
<td>1824.06</td>
<td>1272.6</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>29.46</td>
<td>8484</td>
<td>8484</td>
<td>5514.6</td>
<td>3648.12</td>
<td>2545.2</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>58.92</td>
<td>16968</td>
<td>16968</td>
<td>11029.2</td>
<td>7296.24</td>
<td>5090.4</td>
</tr>
<tr>
<td>大数据计算型 ecs.d2c.6xlarge</td>
<td>24</td>
<td>88</td>
<td>11.458</td>
<td>3300</td>
<td>3300</td>
<td>2145</td>
<td>1419</td>
<td>990</td>
</tr>
<tr>
<td>大数据计算型 ecs.d2c.12xlarge</td>
<td>48</td>
<td>176</td>
<td>22.915</td>
<td>6600</td>
<td>6600</td>
<td>4290</td>
<td>2838</td>
<td>1980</td>
</tr>
<tr>
<td>大数据计算型 ecs.d2c.24xlarge</td>
<td>96</td>
<td>352</td>
<td>45.83</td>
<td>13200</td>
<td>13200</td>
<td>8580</td>
<td>5676</td>
<td>3960</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.53</td>
<td>366</td>
<td>366</td>
<td>311.1</td>
<td>183</td>
<td>183</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.07</td>
<td>732</td>
<td>732</td>
<td>622.2</td>
<td>366</td>
<td>366</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.14</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>732</td>
<td>732</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.28</td>
<td>2928</td>
<td>2928</td>
<td>2488.8</td>
<td>1464</td>
<td>1464</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>24.56</td>
<td>5856</td>
<td>5856</td>
<td>4977.6</td>
<td>2928</td>
<td>2928</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>44.29</td>
<td>10248</td>
<td>10248</td>
<td>8710.8</td>
<td>5124</td>
<td>5124</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.94</td>
<td>649</td>
<td>616.55</td>
<td>486.75</td>
<td>292.05</td>
<td>194.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.89</td>
<td>1298</td>
<td>1233.1</td>
<td>973.5</td>
<td>584.1</td>
<td>389.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.76</td>
<td>1947</td>
<td>1849.65</td>
<td>1460.25</td>
<td>876.15</td>
<td>584.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.77</td>
<td>2596</td>
<td>2466.2</td>
<td>1947</td>
<td>1168.2</td>
<td>778.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>14.44</td>
<td>3365.44</td>
<td>3197.17</td>
<td>2524.08</td>
<td>1514.45</td>
<td>1009.63</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>13.521</td>
<td>3894</td>
<td>3699.3</td>
<td>2920.5</td>
<td>1752.3</td>
<td>1168.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>23.54</td>
<td>5192</td>
<td>4932.4</td>
<td>3894</td>
<td>2336.4</td>
<td>1557.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.14</td>
<td>5653.44</td>
<td>5370.77</td>
<td>4240.08</td>
<td>2544.05</td>
<td>1696.03</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>37.24</td>
<td>9086</td>
<td>8631.7</td>
<td>6814.5</td>
<td>4088.7</td>
<td>2725.8</td>
</tr>
<tr>
<td>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.36</td>
<td>1833</td>
<td>1741.35</td>
<td>1374.75</td>
<td>824.85</td>
<td>549.9</td>
</tr>
<tr>
<td>大数据型 ecs.d1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.547</td>
<td>2749.5</td>
<td>2612.02</td>
<td>2062.13</td>
<td>1237.28</td>
<td>824.85</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.73</td>
<td>3666</td>
<td>3482.7</td>
<td>2749.5</td>
<td>1649.7</td>
<td>1099.8</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>19.09</td>
<td>5499</td>
<td>5224.05</td>
<td>4124.25</td>
<td>2474.55</td>
<td>1649.7</td>
</tr>
<tr>
<td>大数据型 ecs.d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.46</td>
<td>7332</td>
<td>6965.4</td>
<td>5499</td>
<td>3299.4</td>
<td>2199.6</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>24.44</td>
<td>7039</td>
<td>6687.05</td>
<td>5279.25</td>
<td>3167.55</td>
<td>2111.7</td>
</tr>
<tr>
<td>大数据型 ecs.d1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>44.55</td>
<td>12831</td>
<td>12189.45</td>
<td>9623.25</td>
<td>5773.95</td>
<td>3849.3</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>37.07</td>
<td>10675</td>
<td>10141.25</td>
<td>8006.25</td>
<td>4803.75</td>
<td>3202.5</td>
</tr>
<tr>
<td>ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>0.68</td>
<td>197</td>
<td>197</td>
<td>167.45</td>
<td>108.35</td>
<td>74.86</td>
</tr>
<tr>
<td>ecs.sn1ne.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.37</td>
<td>394</td>
<td>394</td>
<td>334.9</td>
<td>216.7</td>
<td>149.72</td>
</tr>
<tr>
<td>ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.74</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>ecs.sn1ne.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.1</td>
<td>1182</td>
<td>1182</td>
<td>1004.7</td>
<td>650.1</td>
<td>449.16</td>
</tr>
<tr>
<td>ecs.sn1ne.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.47</td>
<td>1576</td>
<td>1576</td>
<td>1339.6</td>
<td>866.8</td>
<td>598.88</td>
</tr>
<tr>
<td>ecs.sn1ne.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.21</td>
<td>2364</td>
<td>2364</td>
<td>2009.4</td>
<td>1300.2</td>
<td>898.32</td>
</tr>
<tr>
<td>ecs.sn1ne.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.94</td>
<td>3152</td>
<td>3152</td>
<td>2679.2</td>
<td>1733.6</td>
<td>1197.76</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.large</td>
<td>2</td>
<td>16</td>
<td>1.27</td>
<td>366</td>
<td>366</td>
<td>311.1</td>
<td>201.3</td>
<td>139.08</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.54</td>
<td>732</td>
<td>732</td>
<td>622.2</td>
<td>402.6</td>
<td>278.16</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.08</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>805.2</td>
<td>556.32</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.3xlarge</td>
<td>12</td>
<td>96</td>
<td>7.63</td>
<td>2196</td>
<td>2196</td>
<td>1866.6</td>
<td>1207.8</td>
<td>834.48</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.17</td>
<td>2928</td>
<td>2928</td>
<td>2488.8</td>
<td>1610.4</td>
<td>1112.64</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.6xlarge</td>
<td>24</td>
<td>192</td>
<td>15.25</td>
<td>4392</td>
<td>4392</td>
<td>3733.2</td>
<td>2415.6</td>
<td>1668.96</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>20.33</td>
<td>5856</td>
<td>5856</td>
<td>4977.6</td>
<td>3220.8</td>
<td>2225.28</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.14xlarge</td>
<td>56</td>
<td>480</td>
<td>35.58</td>
<td>10248</td>
<td>10248</td>
<td>8710.8</td>
<td>5636.4</td>
<td>3894.24</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.68</td>
<td>1925</td>
<td>1828.75</td>
<td>1443.75</td>
<td>866.25</td>
<td>577.5</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.37</td>
<td>3850</td>
<td>3657.5</td>
<td>2887.5</td>
<td>1732.5</td>
<td>1155</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>20.05</td>
<td>5775</td>
<td>5486.25</td>
<td>4331.25</td>
<td>2598.75</td>
<td>1732.5</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>26.74</td>
<td>7700</td>
<td>7315</td>
<td>5775</td>
<td>3465</td>
<td>2310</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.66</td>
<td>7391</td>
<td>7021.45</td>
<td>5543.25</td>
<td>3325.95</td>
<td>2217.3</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>46.79</td>
<td>13475</td>
<td>12801.25</td>
<td>10106.25</td>
<td>6063.75</td>
<td>4042.5</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>38.92</td>
<td>11209</td>
<td>10648.55</td>
<td>8406.75</td>
<td>5044.05</td>
<td>3362.7</td>
</tr>
<tr>
<td>ecs.video-trans.26xhevc</td>
<td>104</td>
<td>192</td>
<td>32.292</td>
<td>15500</td>
<td>15500</td>
<td>15500</td>
<td>8525</td>
<td>5890</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.225</td>
<td>108</td>
<td>108</td>
<td>36.72</td>
<td>22.68</td>
<td>22.68</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.3375</td>
<td>162</td>
<td>162</td>
<td>55.08</td>
<td>34.02</td>
<td>34.02</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.094</td>
<td>45.14</td>
<td>45.14</td>
<td>15.35</td>
<td>9.48</td>
<td>9.48</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.675</td>
<td>324</td>
<td>324</td>
<td>220.32</td>
<td>142.56</td>
<td>97.2</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.45</td>
<td>216</td>
<td>216</td>
<td>146.88</td>
<td>95.04</td>
<td>64.8</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.35</td>
<td>648</td>
<td>648</td>
<td>440.64</td>
<td>285.12</td>
<td>194.4</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>293.76</td>
<td>190.08</td>
<td>129.6</td>
</tr>
</tbody>
</table>

三、阿里云服务器便宜购买技巧（比活动价格更便宜）
了解完阿里云服务器北京地域收费标准之后，我们再来说说如何购买阿里云服务器能比活动价格还低，2024年阿里云活动中的云服务器有多种配置和实例规格的云服务器可选，其中轻量应用服务器2核2G3M最低61元/1年，云服务器2核2G3M最低仅需99元/1年，云服务器2核4G5M最低仅需199元/1年。在阿里云活动中购买云服务器时，很多新用户会问，阿里云活动中的云服务器价格还能便宜吗？答案是肯定的，现在我们可以通过领取新用户满减优惠券，在购买阿里云活动中的云服务器时享受更多优惠，实际购买价格比活动价格更便宜。

第一步：领取新用户满减优惠券或代金券
首先，我们需要领取新用户满减优惠券或代金券，阿里云官方会不定期为个人和企业新用户推出各种满减优惠券或者代金券，您可以从以下两个活动中领取优惠券：

[*]阿里云活动中心的“领券中心”。官网地址为：https://www.aliyun.com/activity
[*]阿里云官方云小站平台内的“云产品通用代金券”。官网地址为：https://www.aliyun.com/minisite/goods
</ol>



https://upload-images.jianshu.io/upload_images/19316870-bc2616e80eea80f1.png

<div class="image-caption">云小站代金券图.png

我们随便进入一个活动领取优惠券即可。为了方便起见，小编建议您直接通过云小站平台领取优惠券，因为领取后可以直接在活动内购买云服务器使用。

第二步：比较活动内云服务器不同地域的活动价格
在相同实例规格和配置的情况下，不同地域的阿里云服务器活动价格是不一样的，我们在购买时候可以先比较一下不同地域之间的云服务器活动价格，然后选择价格更低的，这样也能达到更便宜购买的目的，例如同样是计算型c7实例2核4G1M带宽配置，目前阿里云活动内显示的价格是2129.41元1年，这个价格只是北京、杭州、上海、深圳等地域的价格，如果我们选择乌兰察布、河源等地域，活动价格则是1875.79元1年，价格要便宜253.62元，如下图所示：



https://upload-images.jianshu.io/upload_images/19316870-875cd4c8e9a04623.png

<div class="image-caption">1875.79图.png


第三步：下单购买并使用满减优惠券
当我们领取完满减优惠券并选择好云服务器配置之后，可以看下这款云服务器是否支持叠加使用优惠券，如下图所示：



https://upload-images.jianshu.io/upload_images/19316870-f5b615f8a1b6ae21.png

<div class="image-caption">可叠加使用优惠券图.png

最后，在支付云服务器订单的时候，系统会自动显示此订单可使用的全部满减优惠券金额，如下图所示：




https://upload-images.jianshu.io/upload_images/19316870-3aac5ead51ec0ef6.png