vmpj845348 发表于 2024-10-5 22:50:19

阿里云国外云服务器最新可选地域、活动报价及原价参考

阿里云国外云服务器具有国外地域访问速度快、使用方便、免备案等优势,非常受国内外贸企业和想免备案用户的喜爱,阿里云在亚太、欧洲与美洲、中东与印度等国外地域建设了数十个国外机房,可以满足不同用户对国外地域的不同需求,针对新用户还有优惠,下面是阿里云国外云服务器最新可选地域、原价及活动报价参考。




<div class="image-view" data-height="344" data-width="941"><img data-original-filesize="51775" data-original-format="image/jpeg" data-original-height="344" data-original-src="https://upload-images.jianshu.io/upload_images/19316870-26ec7da67f99608c.jpg" data-original-width="941"/>

<div class="image-caption">阿里云国外云服务器.jpg

<h5>阿里云国外云服务器最新可选地域</h5>

1、亚太地域
阿里云国外云服务器亚太地区可选地域有中国(香港)、新加坡、澳大利亚(悉尼)、马来西亚(吉隆坡)、印度尼西亚(雅加达)、菲律宾(马尼拉)、日本(东京)。
2、欧洲与美洲
阿里云国外云服务器欧洲与美洲地区可选地域有美国(硅谷)、美国(弗吉尼亚)、德国(法兰克福)、英国(伦敦)。
3、中东与印度
阿里云国外云服务器中东与印度地区可选地域有阿联酋(迪拜)和印度(孟买)。
<h5>阿里云国外云服务器活动报价</h5>
目前阿里云国外云服务器活动并不多,其中优惠力度最大的是云服务器精选特惠活动(点击进入活动详情页),活动中的新用户专享专区有两款入门级国外云服务器,配置及活动报价如下:

[*]ECS共享型 n4 - 新加坡,1核2G,1M带宽,活动价格为99.00/年;
[*]ECS突发性能型 t6 - 新加坡,1核2G,1-5M带宽,活动价格为105.40/年起;




https://upload-images.jianshu.io/upload_images/19316870-ccd343988c2d3102.png



中国香港与海外服务器专区内推出了17款不同实例和配置的国外云服务器,新老用户均可购买,详细配置及价格如下表所示:
<table>
<thead>
<tr>
<th>实例规格</th>
<th>可选配置</th>
<th>活动最低价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>ECS计算型 c5</td>
<td>2核4G 4核8G 8核16G</td>
<td>1425.60/年起</td>
</tr>
<tr>
<td>ECS通用型 g5</td>
<td>2核8G 4核16G 8核32G</td>
<td>1927.20/年起</td>
</tr>
<tr>
<td>ECS内存型 r5</td>
<td>2核16G 4核32G 8核64G</td>
<td>2395.80/年起</td>
</tr>
<tr>
<td>ECS突发性能型 t6</td>
<td>2核2G 2核4G</td>
<td>1271.53/年起</td>
</tr>
<tr>
<td>ECS计算型 c6</td>
<td>2核4G 4核8G</td>
<td>3819.39/年起</td>
</tr>
<tr>
<td>ECS通用型 g6</td>
<td>2核8G 4核16G</td>
<td>4724.64/年起</td>
</tr>
<tr>
<td>ECS内存型 r6</td>
<td>2核16G 4核32G</td>
<td>5730.67/年起</td>
</tr>
</tbody>
</table>
注:以上国外云服务器可选地域为中国〔香港)、新加坡、美国(弗吉尼亚)和美国(硅谷),折扣统一为5.5折,带宽为1-10M可选,可选云盘为40-100G。
<h5>阿里云国外云服务器价格(原价)</h5>
阿里云不同地域的云服务器价格会有所不同,由于涉及到操作系统版权问题,国外地域的阿里云服务器选择windows系统和Linux系统的收费标准也不一样,详细的价格可通过阿里云服务器ECS产品页面内的价格计算器查询,这里我们以用户购买最多的香港地域、Linux系统为例,为大家展示阿里云国外云服务器价格:
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPU</th>
<th>内存(GB)</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>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.828</td>
<td>482.08</td>
<td>482.08</td>
<td>409.76</td>
<td>265.14</td>
<td>183.19</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.655</td>
<td>964.15</td>
<td>964.15</td>
<td>819.53</td>
<td>530.28</td>
<td>366.38</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.31</td>
<td>1928.3</td>
<td>1928.3</td>
<td>1639.06</td>
<td>1060.57</td>
<td>732.76</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.965</td>
<td>2892.46</td>
<td>2892.46</td>
<td>2458.59</td>
<td>1590.85</td>
<td>1099.13</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.62</td>
<td>3856.61</td>
<td>3856.61</td>
<td>3278.12</td>
<td>2121.14</td>
<td>1465.51</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.93</td>
<td>5784.91</td>
<td>5784.91</td>
<td>4917.18</td>
<td>3181.7</td>
<td>2198.27</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.24</td>
<td>7713.22</td>
<td>7713.22</td>
<td>6556.24</td>
<td>4242.27</td>
<td>2931.02</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>26.481</td>
<td>15426.44</td>
<td>15426.44</td>
<td>13112.47</td>
<td>8484.54</td>
<td>5862.05</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.89</td>
<td>419.2</td>
<td>419.2</td>
<td>356.32</td>
<td>230.56</td>
<td>159.3</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.78</td>
<td>838.4</td>
<td>838.4</td>
<td>712.64</td>
<td>461.12</td>
<td>318.59</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.56</td>
<td>1676.8</td>
<td>1676.8</td>
<td>1425.28</td>
<td>922.24</td>
<td>637.18</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.34</td>
<td>2515.2</td>
<td>2515.2</td>
<td>2137.92</td>
<td>1383.36</td>
<td>955.78</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.12</td>
<td>3353.6</td>
<td>3353.6</td>
<td>2850.56</td>
<td>1844.48</td>
<td>1274.37</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.68</td>
<td>5030.4</td>
<td>5030.4</td>
<td>4275.84</td>
<td>2766.72</td>
<td>1911.55</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.24</td>
<td>6707.2</td>
<td>6707.2</td>
<td>5701.12</td>
<td>3688.96</td>
<td>2548.74</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>23.14</td>
<td>10899.2</td>
<td>10899.2</td>
<td>9264.32</td>
<td>5994.56</td>
<td>4141.7</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>46.28</td>
<td>21798.4</td>
<td>21798.4</td>
<td>18528.64</td>
<td>11989.12</td>
<td>8283.39</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>1.047</td>
<td>595.51</td>
<td>595.51</td>
<td>506.18</td>
<td>327.53</td>
<td>226.29</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.094</td>
<td>1191.01</td>
<td>1191.01</td>
<td>1012.36</td>
<td>655.06</td>
<td>452.58</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.188</td>
<td>2382.02</td>
<td>2382.02</td>
<td>2024.72</td>
<td>1310.11</td>
<td>905.17</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.282</td>
<td>3573.04</td>
<td>3573.04</td>
<td>3037.08</td>
<td>1965.17</td>
<td>1357.75</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.376</td>
<td>4764.05</td>
<td>4764.05</td>
<td>4049.44</td>
<td>2620.23</td>
<td>1810.34</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.563</td>
<td>7146.07</td>
<td>7146.07</td>
<td>6074.16</td>
<td>3930.34</td>
<td>2715.51</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.751</td>
<td>9528.09</td>
<td>9528.09</td>
<td>8098.88</td>
<td>5240.45</td>
<td>3620.68</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>33.502</td>
<td>19056.19</td>
<td>19056.19</td>
<td>16197.76</td>
<td>10480.9</td>
<td>7241.35</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.677</td>
<td>380.02</td>
<td>380.02</td>
<td>323.02</td>
<td>209.01</td>
<td>144.41</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.354</td>
<td>760.04</td>
<td>760.04</td>
<td>646.04</td>
<td>418.02</td>
<td>288.82</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.708</td>
<td>1520.09</td>
<td>1520.09</td>
<td>1292.07</td>
<td>836.05</td>
<td>577.63</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.062</td>
<td>2280.13</td>
<td>2280.13</td>
<td>1938.11</td>
<td>1254.07</td>
<td>866.45</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.417</td>
<td>3040.17</td>
<td>3040.17</td>
<td>2584.15</td>
<td>1672.09</td>
<td>1155.27</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.125</td>
<td>4560.26</td>
<td>4560.26</td>
<td>3876.22</td>
<td>2508.14</td>
<td>1732.9</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.833</td>
<td>6080.34</td>
<td>6080.34</td>
<td>5168.29</td>
<td>3344.19</td>
<td>2310.53</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>21.666</td>
<td>12160.69</td>
<td>12160.69</td>
<td>10336.59</td>
<td>6688.38</td>
<td>4621.06</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.1</td>
<td>40.33</td>
<td>40.33</td>
<td>34.28</td>
<td>22.18</td>
<td>15.33</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.18</td>
<td>80.66</td>
<td>80.66</td>
<td>68.56</td>
<td>44.36</td>
<td>30.65</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.35</td>
<td>160.91</td>
<td>160.91</td>
<td>136.77</td>
<td>88.5</td>
<td>61.15</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.71</td>
<td>322.16</td>
<td>322.16</td>
<td>273.84</td>
<td>177.19</td>
<td>122.42</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.41</td>
<td>643.98</td>
<td>643.98</td>
<td>547.38</td>
<td>354.19</td>
<td>244.71</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.81</td>
<td>1287.89</td>
<td>1287.89</td>
<td>1094.71</td>
<td>708.34</td>
<td>489.4</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.979</td>
<td>461.12</td>
<td>461.12</td>
<td>391.95</td>
<td>253.62</td>
<td>175.23</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.958</td>
<td>922.24</td>
<td>922.24</td>
<td>783.9</td>
<td>507.23</td>
<td>350.45</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.916</td>
<td>1844.48</td>
<td>1844.48</td>
<td>1567.81</td>
<td>1014.46</td>
<td>700.9</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.832</td>
<td>3688.96</td>
<td>3688.96</td>
<td>3135.62</td>
<td>2028.93</td>
<td>1401.8</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.664</td>
<td>7377.92</td>
<td>7377.92</td>
<td>6271.23</td>
<td>4057.86</td>
<td>2803.61</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>25.454</td>
<td>11989.12</td>
<td>11989.12</td>
<td>10190.75</td>
<td>6594.02</td>
<td>4555.87</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.67</td>
<td>330.45</td>
<td>330.45</td>
<td>280.88</td>
<td>181.75</td>
<td>125.57</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.34</td>
<td>660.9</td>
<td>660.9</td>
<td>561.76</td>
<td>363.5</td>
<td>251.14</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.68</td>
<td>1321.8</td>
<td>1321.8</td>
<td>1123.53</td>
<td>726.99</td>
<td>502.28</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.02</td>
<td>1982.7</td>
<td>1982.7</td>
<td>1685.3</td>
<td>1090.48</td>
<td>753.43</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.36</td>
<td>2643.6</td>
<td>2643.6</td>
<td>2247.06</td>
<td>1453.98</td>
<td>1004.57</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.04</td>
<td>3965.4</td>
<td>3965.4</td>
<td>3370.59</td>
<td>2180.97</td>
<td>1506.85</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.72</td>
<td>5287.2</td>
<td>5287.2</td>
<td>4494.12</td>
<td>2907.96</td>
<td>2009.14</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>17.42</td>
<td>8591.7</td>
<td>8591.7</td>
<td>7302.94</td>
<td>4725.44</td>
<td>3264.85</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>34.84</td>
<td>17183.4</td>
<td>17183.4</td>
<td>14605.89</td>
<td>9450.87</td>
<td>6529.69</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.704</td>
<td>346.97</td>
<td>346.97</td>
<td>294.93</td>
<td>190.84</td>
<td>131.85</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.407</td>
<td>693.95</td>
<td>693.95</td>
<td>589.85</td>
<td>381.67</td>
<td>263.7</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.814</td>
<td>1387.89</td>
<td>1387.89</td>
<td>1179.71</td>
<td>763.34</td>
<td>527.4</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.628</td>
<td>2775.78</td>
<td>2775.78</td>
<td>2359.41</td>
<td>1526.68</td>
<td>1054.8</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.256</td>
<td>5551.56</td>
<td>5551.56</td>
<td>4718.83</td>
<td>3053.36</td>
<td>2109.59</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>18.291</td>
<td>9021.29</td>
<td>9021.29</td>
<td>7668.09</td>
<td>4961.71</td>
<td>3428.09</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>36.582</td>
<td>18042.57</td>
<td>18042.57</td>
<td>15336.18</td>
<td>9923.41</td>
<td>6856.18</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>1.13</td>
<td>517.83</td>
<td>517.83</td>
<td>440.16</td>
<td>284.81</td>
<td>196.78</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.26</td>
<td>1035.66</td>
<td>1035.66</td>
<td>880.31</td>
<td>569.61</td>
<td>393.55</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.52</td>
<td>2071.32</td>
<td>2071.32</td>
<td>1760.62</td>
<td>1139.23</td>
<td>787.1</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.78</td>
<td>3106.98</td>
<td>3106.98</td>
<td>2640.93</td>
<td>1708.84</td>
<td>1180.65</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.04</td>
<td>4142.64</td>
<td>4142.64</td>
<td>3521.24</td>
<td>2278.45</td>
<td>1574.2</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>13.56</td>
<td>6213.96</td>
<td>6213.96</td>
<td>5281.87</td>
<td>3417.68</td>
<td>2361.3</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.08</td>
<td>8285.28</td>
<td>8285.28</td>
<td>7042.49</td>
<td>4556.9</td>
<td>3148.41</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>29.38</td>
<td>13463.58</td>
<td>13463.58</td>
<td>11444.04</td>
<td>7404.97</td>
<td>5116.16</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>58.76</td>
<td>26927.16</td>
<td>26927.16</td>
<td>22888.09</td>
<td>14809.94</td>
<td>10232.32</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>1.243</td>
<td>569.61</td>
<td>569.61</td>
<td>484.17</td>
<td>313.29</td>
<td>216.45</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.486</td>
<td>1139.23</td>
<td>1139.23</td>
<td>968.34</td>
<td>626.57</td>
<td>432.91</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.972</td>
<td>2278.45</td>
<td>2278.45</td>
<td>1936.68</td>
<td>1253.15</td>
<td>865.81</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.944</td>
<td>4556.9</td>
<td>4556.9</td>
<td>3873.37</td>
<td>2506.3</td>
<td>1731.62</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>19.888</td>
<td>9113.81</td>
<td>9113.81</td>
<td>7746.74</td>
<td>5012.59</td>
<td>3463.25</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>32.318</td>
<td>14809.94</td>
<td>14809.94</td>
<td>12588.45</td>
<td>8145.47</td>
<td>5627.78</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.13xlarge</td>
<td>52</td>
<td>768</td>
<td>40.78</td>
<td>19574.76</td>
<td>19574.76</td>
<td>16638.55</td>
<td>10766.12</td>
<td>7438.41</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.26xlarge</td>
<td>104</td>
<td>1536</td>
<td>81.56</td>
<td>39149.52</td>
<td>39149.52</td>
<td>33277.09</td>
<td>21532.24</td>
<td>14876.82</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.52xlarge</td>
<td>208</td>
<td>3072</td>
<td>163.12</td>
<td>78299.03</td>
<td>78299.03</td>
<td>66554.18</td>
<td>43064.47</td>
<td>29753.63</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>0.809</td>
<td>398.98</td>
<td>398.98</td>
<td>339.13</td>
<td>219.44</td>
<td>151.61</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.617</td>
<td>797.96</td>
<td>797.96</td>
<td>678.26</td>
<td>438.88</td>
<td>303.22</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.234</td>
<td>1595.92</td>
<td>1595.92</td>
<td>1356.53</td>
<td>877.75</td>
<td>606.45</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.851</td>
<td>2393.87</td>
<td>2393.87</td>
<td>2034.79</td>
<td>1316.63</td>
<td>909.67</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.468</td>
<td>3191.83</td>
<td>3191.83</td>
<td>2713.06</td>
<td>1755.51</td>
<td>1212.9</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>9.702</td>
<td>4787.75</td>
<td>4787.75</td>
<td>4069.59</td>
<td>2633.26</td>
<td>1819.34</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>12.936</td>
<td>6383.66</td>
<td>6383.66</td>
<td>5426.11</td>
<td>3511.01</td>
<td>2425.79</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.12xlarge</td>
<td>48</td>
<td>96</td>
<td>19.404</td>
<td>9575.5</td>
<td>9575.5</td>
<td>8139.17</td>
<td>5266.52</td>
<td>3638.69</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.24xlarge</td>
<td>96</td>
<td>192</td>
<td>38.808</td>
<td>19150.99</td>
<td>19150.99</td>
<td>16278.34</td>
<td>10533.05</td>
<td>7277.38</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.large</td>
<td>2</td>
<td>16</td>
<td>1.302</td>
<td>598.07</td>
<td>598.07</td>
<td>508.36</td>
<td>328.94</td>
<td>227.27</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.604</td>
<td>1196.14</td>
<td>1196.14</td>
<td>1016.72</td>
<td>657.88</td>
<td>454.53</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.208</td>
<td>2392.28</td>
<td>2392.28</td>
<td>2033.44</td>
<td>1315.75</td>
<td>909.07</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>7.812</td>
<td>3588.42</td>
<td>3588.42</td>
<td>3050.15</td>
<td>1973.63</td>
<td>1363.6</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.416</td>
<td>4784.56</td>
<td>4784.56</td>
<td>4066.87</td>
<td>2631.51</td>
<td>1818.13</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>15.624</td>
<td>7176.83</td>
<td>7176.83</td>
<td>6100.31</td>
<td>3947.26</td>
<td>2727.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>20.832</td>
<td>9569.11</td>
<td>9569.11</td>
<td>8133.74</td>
<td>5263.01</td>
<td>3636.26</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.12xlarge</td>
<td>48</td>
<td>384</td>
<td>31.248</td>
<td>14353.67</td>
<td>14353.67</td>
<td>12200.62</td>
<td>7894.52</td>
<td>5454.39</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.24xlarge</td>
<td>96</td>
<td>768</td>
<td>62.496</td>
<td>28707.34</td>
<td>28707.34</td>
<td>24401.24</td>
<td>15789.03</td>
<td>10908.79</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.large</td>
<td>2</td>
<td>8</td>
<td>1.029</td>
<td>484.19</td>
<td>484.19</td>
<td>411.56</td>
<td>266.3</td>
<td>183.99</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.058</td>
<td>968.37</td>
<td>968.37</td>
<td>823.12</td>
<td>532.61</td>
<td>367.98</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.116</td>
<td>1936.75</td>
<td>1936.75</td>
<td>1646.23</td>
<td>1065.21</td>
<td>735.96</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.174</td>
<td>2905.12</td>
<td>2905.12</td>
<td>2469.35</td>
<td>1597.82</td>
<td>1103.95</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.232</td>
<td>3873.49</td>
<td>3873.49</td>
<td>3292.47</td>
<td>2130.42</td>
<td>1471.93</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>12.348</td>
<td>5810.24</td>
<td>5810.24</td>
<td>4938.7</td>
<td>3195.63</td>
<td>2207.89</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>16.464</td>
<td>7746.98</td>
<td>7746.98</td>
<td>6584.94</td>
<td>4260.84</td>
<td>2943.85</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.12xlarge</td>
<td>48</td>
<td>192</td>
<td>24.696</td>
<td>11620.48</td>
<td>11620.48</td>
<td>9877.4</td>
<td>6391.26</td>
<td>4415.78</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.24xlarge</td>
<td>96</td>
<td>384</td>
<td>49.392</td>
<td>23240.95</td>
<td>23240.95</td>
<td>19754.81</td>
<td>12782.52</td>
<td>8831.56</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.77</td>
<td>379.98</td>
<td>379.98</td>
<td>322.98</td>
<td>208.99</td>
<td>144.39</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.54</td>
<td>759.96</td>
<td>759.96</td>
<td>645.97</td>
<td>417.98</td>
<td>288.78</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.08</td>
<td>1519.92</td>
<td>1519.92</td>
<td>1291.93</td>
<td>835.96</td>
<td>577.57</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.62</td>
<td>2279.88</td>
<td>2279.88</td>
<td>1937.9</td>
<td>1253.93</td>
<td>866.35</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.16</td>
<td>3039.84</td>
<td>3039.84</td>
<td>2583.86</td>
<td>1671.91</td>
<td>1155.14</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>9.24</td>
<td>4559.76</td>
<td>4559.76</td>
<td>3875.8</td>
<td>2507.87</td>
<td>1732.71</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>12.32</td>
<td>6079.68</td>
<td>6079.68</td>
<td>5167.73</td>
<td>3343.82</td>
<td>2310.28</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>15.4</td>
<td>7599.6</td>
<td>7599.6</td>
<td>6459.66</td>
<td>4179.78</td>
<td>2887.85</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>24.64</td>
<td>12159.36</td>
<td>12159.36</td>
<td>10335.46</td>
<td>6687.65</td>
<td>4620.56</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>30.8</td>
<td>15199.2</td>
<td>15199.2</td>
<td>12919.32</td>
<td>8359.56</td>
<td>5775.7</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.98</td>
<td>461.13</td>
<td>461.13</td>
<td>391.96</td>
<td>253.62</td>
<td>175.23</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.96</td>
<td>922.26</td>
<td>922.26</td>
<td>783.92</td>
<td>507.24</td>
<td>350.46</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.92</td>
<td>1844.52</td>
<td>1844.52</td>
<td>1567.84</td>
<td>1014.49</td>
<td>700.92</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.88</td>
<td>2766.78</td>
<td>2766.78</td>
<td>2351.76</td>
<td>1521.73</td>
<td>1051.38</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.84</td>
<td>3689.04</td>
<td>3689.04</td>
<td>3135.68</td>
<td>2028.97</td>
<td>1401.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.76</td>
<td>5533.56</td>
<td>5533.56</td>
<td>4703.53</td>
<td>3043.46</td>
<td>2102.75</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.68</td>
<td>7378.08</td>
<td>7378.08</td>
<td>6271.37</td>
<td>4057.94</td>
<td>2803.67</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>19.6</td>
<td>9222.6</td>
<td>9222.6</td>
<td>7839.21</td>
<td>5072.43</td>
<td>3504.59</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>31.36</td>
<td>14756.16</td>
<td>14756.16</td>
<td>12542.74</td>
<td>8115.89</td>
<td>5607.34</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>39.2</td>
<td>18445.2</td>
<td>18445.2</td>
<td>15678.42</td>
<td>10144.86</td>
<td>7009.18</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>1.24</td>
<td>569.59</td>
<td>569.59</td>
<td>484.15</td>
<td>313.27</td>
<td>216.44</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.48</td>
<td>1139.18</td>
<td>1139.18</td>
<td>968.3</td>
<td>626.55</td>
<td>432.89</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.96</td>
<td>2278.36</td>
<td>2278.36</td>
<td>1936.61</td>
<td>1253.1</td>
<td>865.78</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>7.44</td>
<td>3417.54</td>
<td>3417.54</td>
<td>2904.91</td>
<td>1879.65</td>
<td>1298.67</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.92</td>
<td>4556.72</td>
<td>4556.72</td>
<td>3873.21</td>
<td>2506.2</td>
<td>1731.55</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>14.88</td>
<td>6835.08</td>
<td>6835.08</td>
<td>5809.82</td>
<td>3759.29</td>
<td>2597.33</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>19.84</td>
<td>9113.44</td>
<td>9113.44</td>
<td>7746.42</td>
<td>5012.39</td>
<td>3463.11</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>24.8</td>
<td>11391.8</td>
<td>11391.8</td>
<td>9683.03</td>
<td>6265.49</td>
<td>4328.88</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>39.68</td>
<td>18226.88</td>
<td>18226.88</td>
<td>15492.85</td>
<td>10024.78</td>
<td>6926.21</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>49.6</td>
<td>22783.6</td>
<td>22783.6</td>
<td>19366.06</td>
<td>12530.98</td>
<td>8657.77</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>29.142</td>
<td>14987.09</td>
<td>14987.09</td>
<td>14987.09</td>
<td>14987.09</td>
<td>14987.09</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>116.566</td>
<td>59948.36</td>
<td>59948.36</td>
<td>59948.36</td>
<td>59948.36</td>
<td>59948.36</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>233.133</td>
<td>119896.72</td>
<td>119896.72</td>
<td>119896.72</td>
<td>119896.72</td>
<td>119896.72</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>7.89</td>
<td>4056.48</td>
<td>4056.48</td>
<td>3448.01</td>
<td>2231.06</td>
<td>1541.46</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>9.35</td>
<td>4810.87</td>
<td>4810.87</td>
<td>4089.24</td>
<td>2645.98</td>
<td>1828.13</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>12.29</td>
<td>6319.64</td>
<td>6319.64</td>
<td>5371.69</td>
<td>3475.8</td>
<td>2401.46</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>15.4</td>
<td>7921.06</td>
<td>7921.06</td>
<td>6732.9</td>
<td>4356.58</td>
<td>3010</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>30.82</td>
<td>15848.74</td>
<td>15848.74</td>
<td>13471.43</td>
<td>8716.81</td>
<td>6022.52</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>60.87</td>
<td>31307.05</td>
<td>31307.05</td>
<td>26610.99</td>
<td>17218.88</td>
<td>11896.68</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.81</td>
<td>383.65</td>
<td>383.65</td>
<td>326.1</td>
<td>211.01</td>
<td>145.79</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.62</td>
<td>767</td>
<td>767</td>
<td>651.95</td>
<td>421.85</td>
<td>291.46</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.25</td>
<td>1534.58</td>
<td>1534.58</td>
<td>1304.39</td>
<td>844.02</td>
<td>583.14</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.87</td>
<td>2301.86</td>
<td>2301.86</td>
<td>1956.58</td>
<td>1266.02</td>
<td>874.71</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.49</td>
<td>3069</td>
<td>3069</td>
<td>2608.65</td>
<td>1687.95</td>
<td>1166.22</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.74</td>
<td>4603.86</td>
<td>4603.86</td>
<td>3913.28</td>
<td>2532.12</td>
<td>1749.47</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.99</td>
<td>6138</td>
<td>6138</td>
<td>5217.3</td>
<td>3375.9</td>
<td>2332.44</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>25.97</td>
<td>12276.79</td>
<td>12276.79</td>
<td>10435.27</td>
<td>6752.23</td>
<td>4665.18</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>1.006</td>
<td>482.9</td>
<td>482.9</td>
<td>410.46</td>
<td>265.59</td>
<td>183.5</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.012</td>
<td>965.8</td>
<td>965.8</td>
<td>820.93</td>
<td>531.19</td>
<td>367</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.04</td>
<td>1931.59</td>
<td>1931.59</td>
<td>1641.85</td>
<td>1062.37</td>
<td>734</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.08</td>
<td>3863.18</td>
<td>3863.18</td>
<td>3283.7</td>
<td>2124.75</td>
<td>1468.01</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>16.16</td>
<td>7726.36</td>
<td>7726.36</td>
<td>6567.41</td>
<td>4249.5</td>
<td>2936.02</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>32.32</td>
<td>15452.72</td>
<td>15452.72</td>
<td>13134.81</td>
<td>8499</td>
<td>5872.03</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>36.36</td>
<td>17384.31</td>
<td>17384.31</td>
<td>14776.66</td>
<td>9561.37</td>
<td>6606.04</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.57</td>
<td>279</td>
<td>279</td>
<td>237.15</td>
<td>153.45</td>
<td>106.02</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.14</td>
<td>557</td>
<td>557</td>
<td>473.45</td>
<td>306.35</td>
<td>211.66</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.27</td>
<td>1114</td>
<td>1114</td>
<td>946.9</td>
<td>612.7</td>
<td>423.32</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.41</td>
<td>1672</td>
<td>1672</td>
<td>1421.2</td>
<td>919.6</td>
<td>635.36</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.55</td>
<td>2229</td>
<td>2229</td>
<td>1894.65</td>
<td>1225.95</td>
<td>847.02</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.6</td>
<td>293</td>
<td>293</td>
<td>249.05</td>
<td>161.15</td>
<td>111.34</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.19</td>
<td>587</td>
<td>587</td>
<td>498.95</td>
<td>322.85</td>
<td>223.06</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.38</td>
<td>1173</td>
<td>1173</td>
<td>997.05</td>
<td>645.15</td>
<td>445.74</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.57</td>
<td>1760</td>
<td>1760</td>
<td>1496</td>
<td>968</td>
<td>668.8</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.76</td>
<td>2346</td>
<td>2346</td>
<td>1994.1</td>
<td>1290.3</td>
<td>891.48</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.14</td>
<td>3519</td>
<td>3519</td>
<td>2991.15</td>
<td>1935.45</td>
<td>1337.22</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.52</td>
<td>4692</td>
<td>4692</td>
<td>3988.2</td>
<td>2580.6</td>
<td>1782.96</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.05</td>
<td>9385</td>
<td>9385</td>
<td>7977.25</td>
<td>5161.75</td>
<td>3566.3</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>1.03</td>
<td>473</td>
<td>473</td>
<td>402.05</td>
<td>260.15</td>
<td>179.74</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.06</td>
<td>946</td>
<td>946</td>
<td>804.1</td>
<td>520.3</td>
<td>359.48</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.11</td>
<td>1891</td>
<td>1891</td>
<td>1607.35</td>
<td>1040.05</td>
<td>718.58</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.17</td>
<td>2837</td>
<td>2837</td>
<td>2411.45</td>
<td>1560.35</td>
<td>1078.06</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.22</td>
<td>3782</td>
<td>3782</td>
<td>3214.7</td>
<td>2080.1</td>
<td>1437.16</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.34</td>
<td>5673</td>
<td>5673</td>
<td>4822.05</td>
<td>3120.15</td>
<td>2155.74</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.45</td>
<td>7565</td>
<td>7565</td>
<td>6430.25</td>
<td>4160.75</td>
<td>2874.7</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>32.9</td>
<td>15129</td>
<td>15129</td>
<td>12859.65</td>
<td>8320.95</td>
<td>5749.02</td>
</tr>
<tr>
<td>大数据计算密集型 ecs.d2c.6xlarge</td>
<td>24</td>
<td>88</td>
<td>17.728</td>
<td>5105.32</td>
<td>5105.32</td>
<td>4339.52</td>
<td>2807.93</td>
<td>1940.02</td>
</tr>
<tr>
<td>大数据计算密集型 ecs.d2c.12xlarge</td>
<td>48</td>
<td>176</td>
<td>35.456</td>
<td>10210.63</td>
<td>10210.63</td>
<td>8679.04</td>
<td>5615.85</td>
<td>3880.04</td>
</tr>
<tr>
<td>大数据计算密集型 ecs.d2c.24xlarge</td>
<td>96</td>
<td>352</td>
<td>70.905</td>
<td>20421.25</td>
<td>20421.25</td>
<td>17358.06</td>
<td>11231.69</td>
<td>7760.07</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>22.34</td>
<td>6432.7</td>
<td>6432.7</td>
<td>5467.79</td>
<td>3537.99</td>
<td>2444.43</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>44.672</td>
<td>12865.4</td>
<td>12865.4</td>
<td>10935.59</td>
<td>7075.97</td>
<td>4888.85</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>89.343</td>
<td>25730.77</td>
<td>25730.77</td>
<td>21871.15</td>
<td>14151.92</td>
<td>9777.69</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.472</td>
<td>2627.61</td>
<td>2496.23</td>
<td>1970.71</td>
<td>1182.42</td>
<td>788.28</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.951</td>
<td>5255.35</td>
<td>4992.58</td>
<td>3941.51</td>
<td>2364.91</td>
<td>1576.61</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>16.423</td>
<td>7883.02</td>
<td>7488.87</td>
<td>5912.26</td>
<td>3547.36</td>
<td>2364.91</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21.04</td>
<td>10091</td>
<td>9586.45</td>
<td>7568.25</td>
<td>4540.95</td>
<td>3027.3</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21.902</td>
<td>10510.69</td>
<td>9985.16</td>
<td>7883.02</td>
<td>4729.81</td>
<td>3153.21</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>38.317</td>
<td>18393.85</td>
<td>17474.16</td>
<td>13795.39</td>
<td>8277.23</td>
<td>5518.15</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.15</td>
<td>1069</td>
<td>1069</td>
<td>908.65</td>
<td>587.95</td>
<td>406.22</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.29</td>
<td>2138</td>
<td>2138</td>
<td>1817.3</td>
<td>1175.9</td>
<td>812.44</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.58</td>
<td>4275</td>
<td>4275</td>
<td>3633.75</td>
<td>2351.25</td>
<td>1624.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>17.15</td>
<td>8550</td>
<td>8550</td>
<td>7267.5</td>
<td>4702.5</td>
<td>3249</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>34.29</td>
<td>17100</td>
<td>17100</td>
<td>14535</td>
<td>9405</td>
<td>6498</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.526</td>
<td>1752.75</td>
<td>1665.11</td>
<td>1314.56</td>
<td>788.74</td>
<td>525.83</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.052</td>
<td>3505.5</td>
<td>3330.22</td>
<td>2629.13</td>
<td>1577.47</td>
<td>1051.65</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.104</td>
<td>7011</td>
<td>6660.45</td>
<td>5258.25</td>
<td>3154.95</td>
<td>2103.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>28.208</td>
<td>14022</td>
<td>13320.9</td>
<td>10516.5</td>
<td>6309.9</td>
<td>4206.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.258</td>
<td>1122.45</td>
<td>1122.45</td>
<td>954.08</td>
<td>617.35</td>
<td>426.53</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.515</td>
<td>2244.9</td>
<td>2244.9</td>
<td>1908.16</td>
<td>1234.69</td>
<td>853.06</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.03</td>
<td>4489.8</td>
<td>4489.8</td>
<td>3816.33</td>
<td>2469.39</td>
<td>1706.12</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.06</td>
<td>8979.6</td>
<td>8979.6</td>
<td>7632.66</td>
<td>4938.78</td>
<td>3412.25</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>512</td>
<td>36.12</td>
<td>17959.2</td>
<td>17959.2</td>
<td>15265.32</td>
<td>9877.56</td>
<td>6824.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2gne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.703</td>
<td>1840.39</td>
<td>1840.39</td>
<td>1564.33</td>
<td>1012.21</td>
<td>699.35</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2gne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.406</td>
<td>3680.78</td>
<td>3680.78</td>
<td>3128.66</td>
<td>2024.43</td>
<td>1398.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2gne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.81</td>
<td>7361.55</td>
<td>7361.55</td>
<td>6257.32</td>
<td>4048.85</td>
<td>2797.39</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2gne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>29.624</td>
<td>14723.12</td>
<td>14723.12</td>
<td>12514.65</td>
<td>8097.72</td>
<td>5594.79</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.large</td>
<td>2</td>
<td>8</td>
<td>0.907</td>
<td>410.69</td>
<td>410.69</td>
<td>349.09</td>
<td>225.88</td>
<td>156.06</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.812</td>
<td>821.39</td>
<td>821.39</td>
<td>698.18</td>
<td>451.76</td>
<td>312.13</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.622</td>
<td>1642.79</td>
<td>1642.79</td>
<td>1396.37</td>
<td>903.53</td>
<td>624.26</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.442</td>
<td>2464.14</td>
<td>2464.14</td>
<td>2094.52</td>
<td>1355.28</td>
<td>936.37</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.242</td>
<td>3285.68</td>
<td>3285.68</td>
<td>2792.83</td>
<td>1807.12</td>
<td>1248.56</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.884</td>
<td>4928.28</td>
<td>4928.28</td>
<td>4189.04</td>
<td>2710.55</td>
<td>1872.75</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.483</td>
<td>6571.36</td>
<td>6571.36</td>
<td>5585.66</td>
<td>3614.25</td>
<td>2497.12</td>
</tr>
<tr>
<td>通用网络增强型 ecs.sn2ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>25.344</td>
<td>11499.64</td>
<td>11499.64</td>
<td>9774.69</td>
<td>6324.8</td>
<td>4369.86</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>0.692</td>
<td>358.52</td>
<td>358.52</td>
<td>304.74</td>
<td>197.19</td>
<td>136.24</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.39</td>
<td>717.05</td>
<td>717.05</td>
<td>609.49</td>
<td>394.38</td>
<td>272.48</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.778</td>
<td>1429.57</td>
<td>1429.57</td>
<td>1215.13</td>
<td>786.26</td>
<td>543.24</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.152</td>
<td>2151.12</td>
<td>2151.12</td>
<td>1828.45</td>
<td>1183.12</td>
<td>817.43</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.535</td>
<td>2859.15</td>
<td>2859.15</td>
<td>2430.28</td>
<td>1572.53</td>
<td>1086.48</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.304</td>
<td>4302.24</td>
<td>4302.24</td>
<td>3656.9</td>
<td>2366.23</td>
<td>1634.85</td>
</tr>
<tr>
<td>计算网络增强型 ecs.sn1ne.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.064</td>
<td>5718.3</td>
<td>5718.3</td>
<td>4860.56</td>
<td>3145.07</td>
<td>2172.95</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.large</td>
<td>2</td>
<td>16</td>
<td>1.16</td>
<td>540.08</td>
<td>540.08</td>
<td>459.07</td>
<td>297.04</td>
<td>205.23</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.318</td>
<td>1072.94</td>
<td>1072.94</td>
<td>912</td>
<td>590.12</td>
<td>407.72</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.635</td>
<td>2150.16</td>
<td>2150.16</td>
<td>1827.64</td>
<td>1182.59</td>
<td>817.06</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.96</td>
<td>3240.48</td>
<td>3240.48</td>
<td>2754.41</td>
<td>1782.26</td>
<td>1231.38</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.269</td>
<td>4284.4</td>
<td>4284.4</td>
<td>3641.74</td>
<td>2356.42</td>
<td>1628.07</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.6xlarge</td>
<td>24</td>
<td>192</td>
<td>13.92</td>
<td>6480.96</td>
<td>6480.96</td>
<td>5508.82</td>
<td>3564.53</td>
<td>2462.76</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.537</td>
<td>8561.52</td>
<td>8561.52</td>
<td>7277.29</td>
<td>4708.84</td>
<td>3253.38</td>
</tr>
<tr>
<td>内存网络增强型 ecs.se1ne.14xlarge</td>
<td>56</td>
<td>480</td>
<td>34.178</td>
<td>15932.83</td>
<td>15932.83</td>
<td>13542.91</td>
<td>8763.06</td>
<td>6054.48</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.78</td>
<td>857</td>
<td>814.15</td>
<td>642.75</td>
<td>385.65</td>
<td>257.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.57</td>
<td>1715</td>
<td>1629.25</td>
<td>1286.25</td>
<td>771.75</td>
<td>514.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.34</td>
<td>2572</td>
<td>2443.4</td>
<td>1929</td>
<td>1157.4</td>
<td>771.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.14</td>
<td>3430</td>
<td>3258.5</td>
<td>2572.5</td>
<td>1543.5</td>
<td>1029</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.76</td>
<td>4208</td>
<td>3997.6</td>
<td>3156</td>
<td>1893.6</td>
<td>1262.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.68</td>
<td>5142</td>
<td>4884.9</td>
<td>3856.5</td>
<td>2313.9</td>
<td>1542.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.28</td>
<td>6860</td>
<td>6517</td>
<td>5145</td>
<td>3087</td>
<td>2058</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.26</td>
<td>7326</td>
<td>6959.7</td>
<td>5494.5</td>
<td>3296.7</td>
<td>2197.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>24.87</td>
<td>11939</td>
<td>11342.05</td>
<td>8954.25</td>
<td>5372.55</td>
<td>3581.7</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.72</td>
<td>352</td>
<td>334.4</td>
<td>264</td>
<td>158.4</td>
<td>105.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.43</td>
<td>704</td>
<td>668.8</td>
<td>528</td>
<td>316.8</td>
<td>211.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.87</td>
<td>1408</td>
<td>1337.6</td>
<td>1056</td>
<td>633.6</td>
<td>422.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.3</td>
<td>2112</td>
<td>2006.4</td>
<td>1584</td>
<td>950.4</td>
<td>633.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.74</td>
<td>2815</td>
<td>2674.25</td>
<td>2111.25</td>
<td>1266.75</td>
<td>844.5</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.6</td>
<td>4223</td>
<td>4011.85</td>
<td>3167.25</td>
<td>1900.35</td>
<td>1266.9</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.47</td>
<td>5631</td>
<td>5349.45</td>
<td>4223.25</td>
<td>2533.95</td>
<td>1689.3</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>0.819</td>
<td>407.66</td>
<td>387.28</td>
<td>305.75</td>
<td>183.45</td>
<td>122.3</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.637</td>
<td>815</td>
<td>774.25</td>
<td>611.25</td>
<td>366.75</td>
<td>244.5</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.267</td>
<td>1625</td>
<td>1543.75</td>
<td>1218.75</td>
<td>731.25</td>
<td>487.5</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.904</td>
<td>2438</td>
<td>2316.1</td>
<td>1828.5</td>
<td>1097.1</td>
<td>731.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.534</td>
<td>3250.76</td>
<td>3088.22</td>
<td>2438.07</td>
<td>1462.84</td>
<td>975.23</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.801</td>
<td>4876</td>
<td>4632.2</td>
<td>3657</td>
<td>2194.2</td>
<td>1462.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.068</td>
<td>6501</td>
<td>6175.95</td>
<td>4875.75</td>
<td>2925.45</td>
<td>1950.3</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>22.869</td>
<td>11377.54</td>
<td>10808.66</td>
<td>8533.16</td>
<td>5119.89</td>
<td>3413.26</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>11.95</td>
<td>5740</td>
<td>5453</td>
<td>4305</td>
<td>2583</td>
<td>1722</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>14.39</td>
<td>6912</td>
<td>6566.4</td>
<td>5184</td>
<td>3110.4</td>
<td>2073.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>23.91</td>
<td>11481</td>
<td>10906.95</td>
<td>8610.75</td>
<td>5166.45</td>
<td>3444.3</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>28.79</td>
<td>13824</td>
<td>13132.8</td>
<td>10368</td>
<td>6220.8</td>
<td>4147.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>20.72</td>
<td>9946</td>
<td>9448.7</td>
<td>7459.5</td>
<td>4475.7</td>
<td>2983.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>41.44</td>
<td>19892</td>
<td>18897.4</td>
<td>14919</td>
<td>8951.4</td>
<td>5967.6</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>46.28</td>
<td>21798.4</td>
<td>21798.4</td>
<td>18528.64</td>
<td>11989.12</td>
<td>8283.39</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>34.84</td>
<td>17183.4</td>
<td>17183.4</td>
<td>14605.89</td>
<td>9450.87</td>
<td>6529.69</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>58.76</td>
<td>26927.16</td>
<td>26927.16</td>
<td>22888.09</td>
<td>14809.94</td>
<td>10232.32</td>
</tr>
<tr>
<td>高主频计算型弹性裸金属服务器 ecs.ebmhfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>30.8</td>
<td>15199.2</td>
<td>15199.2</td>
<td>12919.32</td>
<td>8359.56</td>
<td>5775.7</td>
</tr>
<tr>
<td>通用网络增强型弹性裸金属服务器 ecs.ebmg5s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>38.96</td>
<td>18414.79</td>
<td>17494.05</td>
<td>13811.09</td>
<td>8286.66</td>
<td>5524.44</td>
</tr>
<tr>
<td>计算网络增强型弹性裸金属服务器 ecs.ebmc5s.24xlarge</td>
<td>96</td>
<td>192</td>
<td>28.57</td>
<td>14077</td>
<td>14077</td>
<td>11965.45</td>
<td>7742.35</td>
<td>5349.26</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.05</td>
<td>20</td>
<td>19</td>
<td>15</td>
<td>9</td>
<td>6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.09</td>
<td>37</td>
<td>35.15</td>
<td>27.75</td>
<td>16.65</td>
<td>11.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.14</td>
<td>60</td>
<td>57</td>
<td>45</td>
<td>27</td>
<td>18</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.26</td>
<td>120</td>
<td>114</td>
<td>90</td>
<td>54</td>
<td>36</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.39</td>
<td>178</td>
<td>169.1</td>
<td>133.5</td>
<td>80.1</td>
<td>53.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.22</td>
<td>99</td>
<td>94.05</td>
<td>74.25</td>
<td>44.55</td>
<td>29.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.31</td>
<td>137</td>
<td>130.15</td>
<td>102.75</td>
<td>61.65</td>
<td>41.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.52</td>
<td>212</td>
<td>201.4</td>
<td>159</td>
<td>95.4</td>
<td>63.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.44</td>
<td>197</td>
<td>187.15</td>
<td>147.75</td>
<td>88.65</td>
<td>59.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.61</td>
<td>273</td>
<td>259.35</td>
<td>204.75</td>
<td>122.85</td>
<td>81.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.03</td>
<td>423</td>
<td>401.85</td>
<td>317.25</td>
<td>190.35</td>
<td>126.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>0.88</td>
<td>393</td>
<td>373.35</td>
<td>294.75</td>
<td>176.85</td>
<td>117.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.21</td>
<td>545</td>
<td>517.75</td>
<td>408.75</td>
<td>245.25</td>
<td>163.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.06</td>
<td>845</td>
<td>802.75</td>
<td>633.75</td>
<td>380.25</td>
<td>253.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>1.75</td>
<td>786</td>
<td>746.7</td>
<td>589.5</td>
<td>353.7</td>
<td>235.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.42</td>
<td>1090</td>
<td>1035.5</td>
<td>817.5</td>
<td>490.5</td>
<td>327</td>
</tr>
<tr>
<td>共享基本型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.105</td>
<td>59.97</td>
<td>59.97</td>
<td>50.97</td>
<td>29.98</td>
<td>29.98</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.209</td>
<td>119.49</td>
<td>119.49</td>
<td>101.57</td>
<td>59.75</td>
<td>59.74</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.418</td>
<td>238.99</td>
<td>238.99</td>
<td>203.14</td>
<td>119.49</td>
<td>119.49</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.179</td>
<td>607.05</td>
<td>607.05</td>
<td>515.99</td>
<td>303.52</td>
<td>303.52</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.358</td>
<td>1214.11</td>
<td>1214.11</td>
<td>1031.99</td>
<td>607.05</td>
<td>607.06</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.716</td>
<td>2428.23</td>
<td>2428.23</td>
<td>2064</td>
<td>1214.12</td>
<td>1214.12</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.425</td>
<td>4855.76</td>
<td>4855.76</td>
<td>4127.4</td>
<td>2427.88</td>
<td>2427.88</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.369</td>
<td>189.91</td>
<td>189.91</td>
<td>161.42</td>
<td>94.95</td>
<td>94.95</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>0.738</td>
<td>379.82</td>
<td>379.82</td>
<td>322.85</td>
<td>189.91</td>
<td>189.91</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.467</td>
<td>754.86</td>
<td>754.86</td>
<td>641.63</td>
<td>377.43</td>
<td>377.43</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.943</td>
<td>1514.5</td>
<td>1514.5</td>
<td>1287.33</td>
<td>757.25</td>
<td>757.25</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.89</td>
<td>3033.73</td>
<td>3033.73</td>
<td>2578.67</td>
<td>1516.87</td>
<td>1516.87</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.777</td>
<td>6067.47</td>
<td>6067.47</td>
<td>5157.35</td>
<td>3033.74</td>
<td>3033.74</td>
</tr>
</tbody>
</table>
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