阿里云服务器1个月多少钱？如何购买1个月阿里云服务器？
阿里云服务器可以购买1到9个月，也可以购买1年到5年，购买1个月属于短期租用，价格更低，但是一般没有活动价格，阿里云活动中的云服务器时长大多都是1年到3年或5年，比较符合大多数用户的需求，但是也有少部分用户只想购买1个月阿里云服务器来短期使用或者先测试下项目在阿里云服务器上的运行情况，初次购买的用户可能不知道阿里云服务器1个月多少钱？如何购买1个月阿里云服务器？本文就跟大家说一说如何购买1个月阿里云服务器，以阿里云服务器1个月的价格情况。https://upload-images.jianshu.io/upload_images/19316870-ada13f4ebe1488c9.png
<div class="image-caption">阿里云服务器图.png
<h2>一：阿里云服务器1个月多少钱？</h2>
其实这需要查看阿里云配置才可以决定，因为价格跟云服务器配置与购买时长有关系，比如内存、cpu、数据盘、带宽等。这里为大家展示一下截止目前阿里云服务器实例规格、CPU和内存(GiB)的按量(小时)、标准目录月价、优惠月价、年付月价收费标准，如下表所示：
<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>
</tr>
</thead>
<tbody>
<tr>
<td>通用型 ecs.u1-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.45</td>
<td>216</td>
<td>216</td>
<td>129.6</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.351</td>
<td>168.48</td>
<td>168.48</td>
<td>101.09</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.large</td>
<td>2</td>
<td>16</td>
<td>0.59625</td>
<td>286.2</td>
<td>286.2</td>
<td>171.72</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.33375</td>
<td>160.2</td>
<td>160.2</td>
<td>96.12</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.6675</td>
<td>320.4</td>
<td>320.4</td>
<td>192.24</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.1925</td>
<td>572.4</td>
<td>572.4</td>
<td>343.44</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.702</td>
<td>336.96</td>
<td>336.96</td>
<td>202.18</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>259.2</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8</td>
<td>864</td>
<td>864</td>
<td>518.4</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.404</td>
<td>673.92</td>
<td>673.92</td>
<td>404.35</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>686.88</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.335</td>
<td>640.8</td>
<td>640.8</td>
<td>384.48</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.7</td>
<td>1296</td>
<td>1296</td>
<td>777.6</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.3xlarge</td>
<td>12</td>
<td>12</td>
<td>2.0025</td>
<td>961.2</td>
<td>961.2</td>
<td>576.72</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.106</td>
<td>1010.88</td>
<td>1010.88</td>
<td>606.53</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.5775</td>
<td>1717.2</td>
<td>1717.2</td>
<td>1030.32</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>2.67</td>
<td>1281.6</td>
<td>1281.6</td>
<td>768.96</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1373.76</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.6</td>
<td>1728</td>
<td>1728</td>
<td>1036.8</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.808</td>
<td>1347.84</td>
<td>1347.84</td>
<td>808.7</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.2</td>
<td>3456</td>
<td>3456</td>
<td>2073.6</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>2747.52</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.616</td>
<td>2695.68</td>
<td>2695.68</td>
<td>1617.41</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.8xlarge</td>
<td>32</td>
<td>32</td>
<td>5.34</td>
<td>2563.2</td>
<td>2563.2</td>
<td>1537.92</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>93.76</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>187.52</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>375.04</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>750.07</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>1500.15</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>3000.29</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>6000.58</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>69.12</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>138.24</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>276.48</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>552.96</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>1105.92</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>2211.84</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>4423.68</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>46.13</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>92.25</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>184.5</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>369.01</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>738.02</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>1476.03</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>2952.07</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>179.52</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>359.04</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>718.08</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>1436.16</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>2872.32</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>5744.64</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>11489.28</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>277.33</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>554.66</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>1109.31</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>2218.62</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>4437.24</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>6655.87</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>8874.49</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.24xlarge</td>
<td>96</td>
<td>768</td>
<td>32.6268</td>
<td>15660.86</td>
<td>15660.86</td>
<td>13311.73</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>157.98</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>315.95</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>631.91</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>1263.82</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>2527.64</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>3791.46</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>5055.28</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>7582.93</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>10110.57</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>15165.85</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>208.24</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>416.49</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>832.97</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>1665.95</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>3331.89</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>4997.84</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>6663.78</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>9995.67</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>13327.57</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>19991.35</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>298.26</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>596.52</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>1193.04</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>1789.57</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>2386.09</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>3579.13</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>4772.18</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>7158.27</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>174.66</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>349.32</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>698.63</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>1047.95</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>1397.27</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>2095.9</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>2794.53</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>4191.8</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>5589.06</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>8383.59</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>224.16</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>448.32</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>896.64</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>1344.96</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>1793.28</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>2689.92</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>3586.57</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>5379.85</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>7173.13</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>10759.69</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>226.03</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>452.06</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>904.11</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>1356.17</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>1808.23</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>2712.34</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>3616.45</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>7232.91</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>14465.81</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>236.3</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>472.6</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>945.2</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>1417.8</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>1890.4</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>2835.6</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>3780.8</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>5671.2</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>11342.4</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>192.1</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>384.2</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>768.4</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>1152.6</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>1536.8</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>2305.2</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>3073.6</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>4610.4</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>9220.8</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>312.8</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>625.6</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>1251.2</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>1876.8</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>2502.4</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>3753.6</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>5004.8</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>7507.2</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>15014.4</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfg7.48xlarge</td>
<td>192</td>
<td>768</td>
<td>55.6</td>
<td>26688</td>
<td>26688</td>
<td>22684.8</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>
</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>295.8</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>591.6</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>1183.2</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>2366.4</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>4732.8</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>7099.2</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>14198.4</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>180.84</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>361.67</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>723.34</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>1085.01</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>1446.68</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>2170.02</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>2893.36</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>5786.73</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>11573.45</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>240.61</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>481.23</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>962.46</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>1443.69</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>1924.91</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>2887.37</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>3849.83</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>7699.65</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>15399.3</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>140.9</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>281.8</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>563.6</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>845.41</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>1127.21</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>1690.81</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>2254.41</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>4508.82</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>9017.65</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>
</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>
</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>320.71</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>641.42</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>1282.84</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>1924.27</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>2565.69</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>3848.53</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>5131.38</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>10262.75</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>246.33</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>492.66</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>985.32</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>1477.98</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>1970.64</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>2955.96</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>3941.28</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>7882.56</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>191.93</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>383.86</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>767.73</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>1151.59</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>1535.46</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>2303.19</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>3070.91</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>6141.83</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>
</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>
</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>
</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>119.68</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>239.36</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>478.72</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>957.44</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>1914.88</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>1914.88</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>3829.76</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>3829.76</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>7659.52</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>179.52</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>359.04</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>718.08</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>1436.16</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>2872.32</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>2872.32</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>5744.64</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>5744.64</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>11489.28</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>243.27</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>486.54</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>973.08</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>1946.16</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>3892.32</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>7784.64</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>15569.28</td>
</tr>
<tr>
<td>通用型超级计算集群 ecs.sccg7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>51.52</td>
<td>24729.6</td>
<td>24729.6</td>
<td>21020.16</td>
</tr>
<tr>
<td>计算型超级计算集群 ecs.sccc7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>43.01</td>
<td>20644.8</td>
<td>20644.8</td>
<td>17548.08</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>351.26</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>702.51</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>1405.02</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>2107.53</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>2810.04</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>4215.06</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>5620.08</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>11240.15</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>210.21</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>420.42</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>840.85</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>1261.27</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>1681.69</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>2522.54</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>3363.38</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>6726.76</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>269.79</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>539.58</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>1079.16</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>1618.74</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>2158.32</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>3237.48</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>4316.64</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>8633.28</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>403.54</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>807.07</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>1614.15</td>
</tr>
<tr>
<td>持久内存型 ecs.re7p.16xlarge</td>
<td>64</td>
<td>256</td>
<td>31.65</td>
<td>15192</td>
<td>15192</td>
<td>12913.2</td>
</tr>
<tr>
<td>持久内存型 ecs.re7p.32xlarge</td>
<td>128</td>
<td>512</td>
<td>63.3</td>
<td>30384</td>
<td>30384</td>
<td>25826.4</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m4.xlarge</td>
<td>4</td>
<td>30</td>
<td>3.075255</td>
<td>1476.12</td>
<td>1476.12</td>
<td>1254.7</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m8.2xlarge</td>
<td>10</td>
<td>62</td>
<td>5.567443</td>
<td>2672.37</td>
<td>2672.37</td>
<td>2271.52</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m12.3xlarge</td>
<td>14</td>
<td>93</td>
<td>8.05963</td>
<td>3868.62</td>
<td>3868.62</td>
<td>3288.33</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn7i-vws-m24.7xlarge</td>
<td>30</td>
<td>186</td>
<td>15.536193</td>
<td>7457.37</td>
<td>7457.37</td>
<td>6338.77</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>319.07</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>638.14</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>1276.27</td>
</tr>
<tr>
<td>内存型 ecs.r7p.16xlarge</td>
<td>64</td>
<td>256</td>
<td>25.025</td>
<td>12012</td>
<td>12012</td>
<td>10210.2</td>
</tr>
<tr>
<td>内存型 ecs.r7p.32xlarge</td>
<td>128</td>
<td>512</td>
<td>50.05</td>
<td>24024</td>
<td>24024</td>
<td>20420.4</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2.xlarge</td>
<td>4</td>
<td>15.5</td>
<td>1.893534</td>
<td>908.9</td>
<td>908.9</td>
<td>772.56</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2s.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.833</td>
<td>879.83</td>
<td>879.83</td>
<td>747.86</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>3.142232</td>
<td>1508.27</td>
<td>1508.27</td>
<td>1282.03</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.082</td>
<td>1479.21</td>
<td>1479.21</td>
<td>1257.33</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8.4xlarge</td>
<td>16</td>
<td>62</td>
<td>5.639628</td>
<td>2707.02</td>
<td>2707.02</td>
<td>2300.97</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8s.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.579</td>
<td>2677.96</td>
<td>2677.96</td>
<td>2276.26</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>
</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>
</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>
</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>207.93</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>415.85</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>831.7</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>1663.41</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>3326.82</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>6653.65</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>13307.29</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>266.86</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>533.72</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>1067.43</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>2134.86</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>4269.72</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>8539.44</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>17078.88</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>
</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>
</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>
</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>
</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>204</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>408</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>816</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>1224</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>1632</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>2448</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>3264</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>5304</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>10608</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>224.4</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>448.8</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>897.6</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>1795.2</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>3590.4</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>5834.4</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>158.95</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>317.9</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>635.8</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>953.7</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>1271.6</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>1907.4</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>2543.2</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>4132.7</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>8265.4</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>270.3</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>540.6</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>1081.2</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>1621.8</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>2162.4</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>3243.6</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>4324.8</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>7027.8</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>14055.6</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>7.23</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>14.45</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>28.9</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>57.8</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>115.6</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>231.2</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>462.4</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>182.75</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>365.5</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>731</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>1096.5</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>1462</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>2193</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>2924</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>3655</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>5848</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>7310</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>224.4</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>448.8</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>897.6</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>1346.4</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>1795.2</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>2692.8</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>3590.4</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>4488</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>7180.8</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>8976</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>
</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>
</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>
</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>297.5</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>595</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>1190</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>1785</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>2380</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>3570</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>4760</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>5950</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>9520</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>11900</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m4.xlarge</td>
<td>4</td>
<td>23</td>
<td>2.445</td>
<td>1173.65</td>
<td>1173.65</td>
<td>997.6</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m8.2xlarge</td>
<td>10</td>
<td>46</td>
<td>5.053</td>
<td>2425.56</td>
<td>2425.56</td>
<td>2061.72</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>3250.06</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>6500.11</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>10475.4</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>13000.23</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>20950.8</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>41901.6</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>
</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>297.5</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>595</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>1190</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>2380</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>4760</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>7735</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>167.45</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>334.9</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>669.8</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>1339.6</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>2679.2</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>4353.7</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>8707.4</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.large</td>
<td>2</td>
<td>4</td>
<td>0.38125</td>
<td>203</td>
<td>203</td>
<td>172.55</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.7625</td>
<td>406</td>
<td>406</td>
<td>345.1</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.522916</td>
<td>812</td>
<td>812</td>
<td>690.2</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.04375</td>
<td>1624</td>
<td>1624</td>
<td>1380.4</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.0875</td>
<td>3247</td>
<td>3247</td>
<td>2759.95</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.13xlarge</td>
<td>52</td>
<td>96</td>
<td>9.89375</td>
<td>5276</td>
<td>5276</td>
<td>4484.6</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.26xlarge</td>
<td>104</td>
<td>192</td>
<td>19.785416</td>
<td>10552</td>
<td>10552</td>
<td>8969.2</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.large</td>
<td>2</td>
<td>8</td>
<td>0.890156</td>
<td>474.75</td>
<td>474.75</td>
<td>403.54</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.large</td>
<td>2</td>
<td>8</td>
<td>0.89</td>
<td>474.75</td>
<td>474.75</td>
<td>403.54</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.780312</td>
<td>949.5</td>
<td>949.5</td>
<td>807.07</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.78</td>
<td>949.5</td>
<td>949.5</td>
<td>807.07</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.560625</td>
<td>1899</td>
<td>1899</td>
<td>1614.15</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.561</td>
<td>1899</td>
<td>1899</td>
<td>1614.15</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.12125</td>
<td>3798</td>
<td>3798</td>
<td>3228.3</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.13xlarge</td>
<td>52</td>
<td>192</td>
<td>21.36375</td>
<td>11394</td>
<td>11394</td>
<td>9684.9</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.13xlarge</td>
<td>52</td>
<td>192</td>
<td>21.364</td>
<td>11394</td>
<td>11394</td>
<td>9684.9</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.26xlarge</td>
<td>104</td>
<td>384</td>
<td>42.7275</td>
<td>22788</td>
<td>22788</td>
<td>19369.8</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>119.68</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>239.36</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>478.72</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>957.44</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>1914.88</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>3829.76</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>7659.52</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>243.27</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>486.54</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>973.08</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>1946.16</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>3892.32</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>7784.64</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>179.52</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>359.04</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>718.08</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>1436.16</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>2872.32</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>5744.64</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>11489.28</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>127.16</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>254.32</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>508.64</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>1017.28</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>2034.56</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>4069.12</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>163.2</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>326.4</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>652.8</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>1305.6</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>2611.2</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>5222.4</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>
</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>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m16-vws.5xlarge</td>
<td>20</td>
<td>92</td>
<td>11.184179</td>
<td>5368.41</td>
<td>5368.41</td>
<td>4563.14</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</tr>
</tbody>
</table>
<h2>二、如何购买1个月阿里云服务器？</h2>
1、前往阿里云官网并登录阿里云账号， 如还未注册，推荐先通过阿里云官方云小站平台：https://www.aliyun.com/minisite/goods完成注册，官方会不定期在这个平台发放各种免费的优惠券和代金券。
https://upload-images.jianshu.io/upload_images/19316870-4cdb15d4f5d4c716.png
<div class="image-caption">云小站代金券图.png
选择顶端导航菜单“产品”，在下拉菜单中点击“弹性计算”中的“云服务器ECS”。
https://upload-images.jianshu.io/upload_images/19316870-366995e772376197.png
2、进入到阿里云服务器ECS产品页后点击【立即购买】按钮。
https://upload-images.jianshu.io/upload_images/19316870-311b10d1cff2c765.png
3、在阿里云服务器ECS购买页中，可以选择快速购买也可以选择自定义配置，快速购买购买没有设置安全组和密码的地方，需要购买之后再单独设置，如果你是新手用户，可能对设置安全组和密码的流程并不是很熟悉，建议选择自定义购买模式。这里我们以自定义购买为例为大家展示怎么买1个月的阿里云服务器。
https://upload-images.jianshu.io/upload_images/19316870-de3163455d4ac2fd.png
<div class="image-caption">阿里云服务器自定义购买.png
4、选择付费模式，阿里云服务器的计费方式分为包年包月和按量付费，长期稳定的业务项目选择包年包月合适，临时性业务项目选择按量计费，这里我们选择包年包月。
https://upload-images.jianshu.io/upload_images/19316870-9406ff539d57d396.png
5、选择地域及可用区，选购原则是离自己和网站或者目标客户就近为好，如果是想免备案选择香港或新加坡地域为好，如果是面向海外的话，选择自己业务的主要海外区域即可。这里我们选择华北2（北京）
https://upload-images.jianshu.io/upload_images/19316870-ac24d2e3d607559a.png
需要注意的地方：
①.不同地域的实例之间内网互不相通，且云服务器ECS不能跨地域部署负载均衡，如果我们是购买多台阿里云服务器，尽量选择同区域。
②.使用国内地域的阿里云服务器是必须要备案的，如果不想备案或者无法备案，则必须选购海外地域。
6、选择实例规格，不同实例采用底层服务器及网络收发包等性能是不同的，个人和一般企业用户放一些静态网站、展示性网站选择共享型S6或者经济型e实例即可，企业品牌官网等对云服务器性能有一定要求的，推荐购买计算型、通用型实例较好，这里我们以经济型e实例2核4G配置为例：
https://upload-images.jianshu.io/upload_images/19316870-4b9ba6265a81dbe6.png
<div class="image-caption">经济型e实例规格2核4G选择图.png
7、选择镜像和存储，选购原则如下：
①.国内地域的阿里云服务器可以随意重装系统，但是海外的阿里云服务器是无法更换操作系统的，购买阿里云海外云服务器的用户需要注意。
②.存储分为系统盘和数据盘，数据盘默认为40G，一般来说都足够用了，我们在购买的时候一定要购买数据盘，数据盘简单理解就跟我们电脑的D盘、F盘一样，我们应当将自己的程序和项目软件部署在数据盘上更加安全，毕竟即使云服务器系统出现故障，不会影响我们数据的丢失。
③.在云盘的选择上，阿里云服务器分为高效云盘、SSD云盘和ESSD云盘，不同实例规格的云服务器可选的云盘种类不同，我们这里选择的经济型e实例可以选择ESSD Entry、ESSD AutoPL、ESSD云盘三种云盘，其中ESSD Entry的收费标准最低，我们就以选择这个云盘为例为大家展示。
https://upload-images.jianshu.io/upload_images/19316870-ed43a213452aba18.png
<div class="image-caption">经济型e云盘选择图.png
8、选择带宽和安全组，带宽按照实际需求选择就可以，安全组一定要勾选上22（Linux）或者 3389（Windows）、80端口等几个常用的端口。
https://upload-images.jianshu.io/upload_images/19316870-e96973cafe60105d.png
9、设置阿里云服务器登录密码， 这里的密钥对仅支持Linux实例，自定义密码指的是购买时直接设置好密码，创建后设置指的是购买成功之后再设置密码。
https://upload-images.jianshu.io/upload_images/19316870-6316fb22ddcfd519.png
<div class="image-caption">设置服务器密码1.png
10、购买时长选择购买1个月，购买时长可选1个月、2个月、3个月、半年、1年、2年、3年、4年、5年，这里选择1个月就表示购买的是月付云服务器。
https://upload-images.jianshu.io/upload_images/19316870-cda93dd6490c0b96.png
11、选择好服务器的配置后勾选“《云服务器 ECS 服务条款》”，然后点击【立即购买】按钮，接下来就根据指示完成相应操作和付款即可。
https://upload-images.jianshu.io/upload_images/19316870-3729a4c5e16ed47f.png
<div class="image-caption">勾选云服务器协议1.png
到此，我们已经成功购买到了一台1个月的阿里云服务器。值得注意的是，购买时长越长越优惠，如上文我们所选择的经济型e实例云服务器为例，现在的政策是1年4折、2年3折、3年-5年2.5折，因此，如果是需要长期使用阿里云服务器，推荐还是选择年付更便宜。如本文所选择的北京地域的经济型e实例2核4G1M阿里云服务器1个月就需要159元，而这款配置的云服务器在阿里云新人特惠活动：https://www.aliyun.com/daily-act/ecs/activity_selection中购买一年只要599.93元1年，还不如买活动中的年付云服务器划算，如下图所示：
https://upload-images.jianshu.io/upload_images/19316870-2a8be5809e61d0a4.png
<div class="image-caption">599.93图.png
小编建议大家尽量通过阿里云新人特惠活动购买年付云服务器，年付价格要便宜很多，而且如果你需要备案的话，只买1个月云服务器是无法备案的，最少要买3个月才能在阿里云平台完成备案。
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