阿里云服务器广州地域多少钱？广州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，广州地域主要适合南方用户选择，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广州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、阿里云服务器广州地域接入点及运营商介绍
阿里云服务器广州地域有开发区、黄埔区、增城等多个接入点，运营商有中立、联通及阿里等。
<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>华南3（广州）</td>
<td>广州-开发区-A</td>
<td>联通</td>
<td>大壮国际广场</td>
</tr>
<tr>
<td>华南3（广州）</td>
<td>广州-黄埔区-B</td>
<td>中立</td>
<td>玉树公园</td>
</tr>
<tr>
<td>华南3（广州）</td>
<td>广州-黄埔区-C</td>
<td>中立</td>
<td>华南新材料创新园</td>
</tr>
<tr>
<td>华南3（广州）</td>
<td>广州-黄埔区-D</td>
<td>联通</td>
<td>金发科技园</td>
</tr>
<tr>
<td>华南3（广州）</td>
<td>广州-增城-A</td>
<td>阿里</td>
<td>南香谷产业园</td>
</tr>
</tbody>
</table>
二、阿里云服务器广州地域最新收费标准
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广州地域最新收费标准，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.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>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>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>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.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.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-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-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>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>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>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>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>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>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>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>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>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 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>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>11.171894</td>
<td>5362.51</td>
<td>5362.51</td>
<td>4558.13</td>
<td>2949.38</td>
<td>2037.75</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>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>经济型 ecs.e4.large</td>
<td>2</td>
<td>16</td>
<td>1.81</td>
<td>520</td>
<td>520</td>
<td>442</td>
<td>260</td>
<td>260</td>
</tr>
<tr>
<td>经济型 ecs.e4.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.61</td>
<td>1040</td>
<td>1040</td>
<td>884</td>
<td>520</td>
<td>520</td>
</tr>
<tr>
<td>经济型 ecs.e4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>7.22</td>
<td>2080</td>
<td>2080</td>
<td>1768</td>
<td>1040</td>
<td>1040</td>
</tr>
<tr>
<td>经济型 ecs.e4.4xlarge</td>
<td>16</td>
<td>128</td>
<td>14.44</td>
<td>4160</td>
<td>4160</td>
<td>3536</td>
<td>2080</td>
<td>2080</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>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>1.975049</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>3.951</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>7.901</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>15.801</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>31.601</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>39.501</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>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广州地域收费标准之后，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
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