阿里云有没有香港云服务器？优惠价格是多少？如何购买？

冬乐成允

阿里云有没有香港云服务器？当然是有的，众所周知，香港云服务器是不用备案的，又因为离大陆比较近，国内访问速度相对于其他亚太地域和欧美地域的云服务器来说，访问速度会更快，因此，很多用户非常喜欢购买阿里云香港云服务器，本文为大家展示一下阿里云香港云服务器的最新优惠价格及香港云服务器的购买流程。
<h5>阿里云有香港的服务器吗？</h5>

答案：当然有
阿里云有香港云服务器、以及香港虚拟主机销售。香港地域的云服务器主要面向的用户群体是跨境电商外贸企业和国内想购买免备案云服务器的用户。
<h5>阿里云香港云服务器优势</h5>

使用香港云服务器主要有下面几个优势：
1、国际业务畅通无阻
外贸公司主要是外国客户。香港云服务器具有国际出口带宽接入，足够的带宽，海外客户可以顺畅，快速地浏览您的网站，对企业产品营销起到积极作用。此外，香港机房发生事故的概率很低，而且技术较为成熟。因此，对于想要开展海外业务的外贸公司的来说，推荐使用香港云服务器。

2、带宽和线路优势
香港是互联网电缆出口之一，所以机房采用的是国际带宽。香港云服务器没有电信和中国联通不能互操作的问题，而且它接近大陆，国内和亚洲地区的速度非常快。如果您的网站覆盖面广，影速科技的香港云服务器是一个非常好的选择。

3、无需备案记录，快速构建网站
一般来说，备案审核需要7-20天左右的审核。香港云服务器因为机房是在香港，而香港没有备案限制，无需记录网站是否备案，无需提交和审核，并且可以随时使用。这简化了构建网站的过程并节省了企业的时间成本。
<h5>阿里云香港云服务器价格</h5>

下面为大家展示的阿里云香港云服务器的最新收费价格表及最新活动价格表，具体收费标准及最新活动价格如下：
1、阿里云香港云服务器最新收费价格表
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>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.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>0.8085</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>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.827526</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>1.655053</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>3.310107</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>4.965161</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>6.620214</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>9.930322</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>13.240429</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>26.480859</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.g7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>52.961718</td>
<td>30852.88</td>
<td>30852.88</td>
<td>26224.94</td>
<td>16969.08</td>
<td>11724.09</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>1.046946</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>2.093893</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>4.187787</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>6.281681</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>8.375574</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>12.563362</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>16.751149</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>33.502299</td>
<td>19056.19</td>
<td>19056.19</td>
<td>16197.76</td>
<td>10480.9</td>
<td>7241.35</td>
</tr>
<tr>
<td>内存型 ecs.r7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>67.004598</td>
<td>38112.38</td>
<td>38112.38</td>
<td>32395.52</td>
<td>20961.81</td>
<td>14482.7</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.677067</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>1.354134</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>2.708269</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>4.062404</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>5.416539</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>8.124809</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>10.833078</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>128</td>
<td>21.666157</td>
<td>12160.69</td>
<td>12160.69</td>
<td>10336.59</td>
<td>6688.38</td>
<td>4621.06</td>
</tr>
<tr>
<td>计算型 ecs.c7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>43.332315</td>
<td>24321.38</td>
<td>24321.38</td>
<td>20673.17</td>
<td>13376.76</td>
<td>9242.12</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>43.33231</td>
<td>24321.38</td>
<td>24321.38</td>
<td>20673.17</td>
<td>13376.76</td>
<td>9242.12</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.large</td>
<td>2</td>
<td>8</td>
<td>0.869</td>
<td>506.18</td>
<td>506.18</td>
<td>430.25</td>
<td>278.4</td>
<td>192.35</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.738</td>
<td>1012.36</td>
<td>1012.36</td>
<td>860.51</td>
<td>556.8</td>
<td>384.7</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.476</td>
<td>2024.72</td>
<td>2024.72</td>
<td>1721.01</td>
<td>1113.6</td>
<td>769.39</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.213</td>
<td>3037.08</td>
<td>3037.08</td>
<td>2581.52</td>
<td>1670.39</td>
<td>1154.09</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.951</td>
<td>4049.44</td>
<td>4049.44</td>
<td>3442.02</td>
<td>2227.19</td>
<td>1538.79</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.427</td>
<td>6074.16</td>
<td>6074.16</td>
<td>5163.04</td>
<td>3340.79</td>
<td>2308.18</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.902</td>
<td>8098.88</td>
<td>8098.88</td>
<td>6884.05</td>
<td>4454.38</td>
<td>3077.57</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.16xlarge</td>
<td>64</td>
<td>256</td>
<td>27.805</td>
<td>16197.76</td>
<td>16197.76</td>
<td>13768.1</td>
<td>8908.77</td>
<td>6155.15</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.51</td>
<td>249.05</td>
<td>249.05</td>
<td>211.69</td>
<td>136.98</td>
<td>94.64</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.0115</td>
<td>498.95</td>
<td>498.95</td>
<td>424.11</td>
<td>274.42</td>
<td>189.6</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.023</td>
<td>997.05</td>
<td>997.05</td>
<td>847.49</td>
<td>548.38</td>
<td>378.88</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.046</td>
<td>1994.1</td>
<td>1994.1</td>
<td>1694.98</td>
<td>1096.76</td>
<td>757.76</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.092</td>
<td>3988.2</td>
<td>3988.2</td>
<td>3389.97</td>
<td>2193.51</td>
<td>1515.52</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>16.184</td>
<td>7976.4</td>
<td>7976.4</td>
<td>6779.94</td>
<td>4387.02</td>
<td>3031.03</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>32.368</td>
<td>15952.8</td>
<td>15952.8</td>
<td>13559.88</td>
<td>8774.04</td>
<td>6062.06</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>0.6885</td>
<td>326.1</td>
<td>326.1</td>
<td>277.19</td>
<td>179.36</td>
<td>123.92</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.377</td>
<td>651.95</td>
<td>651.95</td>
<td>554.16</td>
<td>358.57</td>
<td>247.74</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.7625</td>
<td>1304.39</td>
<td>1304.39</td>
<td>1108.73</td>
<td>717.42</td>
<td>495.67</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.525</td>
<td>2608.65</td>
<td>2608.65</td>
<td>2217.35</td>
<td>1434.76</td>
<td>991.29</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.05</td>
<td>5217.3</td>
<td>5217.3</td>
<td>4434.7</td>
<td>2869.51</td>
<td>1982.57</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.1</td>
<td>10434.6</td>
<td>10434.6</td>
<td>8869.41</td>
<td>5739.03</td>
<td>3965.15</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>44.2</td>
<td>20869.2</td>
<td>20869.2</td>
<td>17738.82</td>
<td>11478.06</td>
<td>7930.3</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>0.8755</td>
<td>402.05</td>
<td>402.05</td>
<td>341.74</td>
<td>221.13</td>
<td>152.78</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.751</td>
<td>804.1</td>
<td>804.1</td>
<td>683.49</td>
<td>442.25</td>
<td>305.56</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.4935</td>
<td>1608.2</td>
<td>1608.2</td>
<td>1366.97</td>
<td>884.51</td>
<td>611.12</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.987</td>
<td>3216.4</td>
<td>3216.4</td>
<td>2733.94</td>
<td>1769.02</td>
<td>1222.23</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.974</td>
<td>6432.8</td>
<td>6432.8</td>
<td>5467.88</td>
<td>3538.04</td>
<td>2444.46</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>27.948</td>
<td>12865.6</td>
<td>12865.6</td>
<td>10935.76</td>
<td>7076.08</td>
<td>4888.93</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>55.896</td>
<td>25731.2</td>
<td>25731.2</td>
<td>21871.52</td>
<td>14152.16</td>
<td>9777.86</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>16.474968</td>
<td>7907.98</td>
<td>7907.98</td>
<td>6721.79</td>
<td>4349.39</td>
<td>3005.03</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c16g1.4xlarge</td>
<td>16</td>
<td>60</td>
<td>17.444084</td>
<td>8373.16</td>
<td>8373.16</td>
<td>7117.19</td>
<td>4605.24</td>
<td>3181.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.8xlarge</td>
<td>32</td>
<td>188</td>
<td>19.382315</td>
<td>9303.51</td>
<td>9303.51</td>
<td>7907.99</td>
<td>5116.93</td>
<td>3535.33</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c48g1.12xlarge</td>
<td>48</td>
<td>310</td>
<td>23.258778</td>
<td>11164.21</td>
<td>11164.21</td>
<td>9489.58</td>
<td>6140.32</td>
<td>4242.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c56g1.14xlarge</td>
<td>56</td>
<td>346</td>
<td>27.910534</td>
<td>13397.06</td>
<td>13397.06</td>
<td>11387.5</td>
<td>7368.38</td>
<td>5090.88</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.16xlarge</td>
<td>64</td>
<td>376</td>
<td>38.764631</td>
<td>18607.02</td>
<td>18607.02</td>
<td>15815.97</td>
<td>10233.86</td>
<td>7070.67</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.32xlarge</td>
<td>128</td>
<td>752</td>
<td>77.529262</td>
<td>37214.05</td>
<td>37214.05</td>
<td>31631.94</td>
<td>20467.73</td>
<td>14141.34</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.large</td>
<td>2</td>
<td>16</td>
<td>1.2317</td>
<td>700.6</td>
<td>700.6</td>
<td>595.51</td>
<td>385.33</td>
<td>266.23</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.4634</td>
<td>1401.19</td>
<td>1401.19</td>
<td>1191.01</td>
<td>770.65</td>
<td>532.45</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.9268</td>
<td>2802.38</td>
<td>2802.38</td>
<td>2382.02</td>
<td>1541.31</td>
<td>1064.9</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.3xlarge</td>
<td>12</td>
<td>96</td>
<td>7.3902</td>
<td>4203.57</td>
<td>4203.57</td>
<td>3573.03</td>
<td>2311.96</td>
<td>1597.36</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.8536</td>
<td>5604.76</td>
<td>5604.76</td>
<td>4764.05</td>
<td>3082.62</td>
<td>2129.81</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.6xlarge</td>
<td>24</td>
<td>192</td>
<td>14.7804</td>
<td>8407.14</td>
<td>8407.14</td>
<td>7146.07</td>
<td>4623.93</td>
<td>3194.71</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.8xlarge</td>
<td>32</td>
<td>256</td>
<td>19.7072</td>
<td>11209.52</td>
<td>11209.52</td>
<td>9528.09</td>
<td>6165.24</td>
<td>4259.62</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.16xlarge</td>
<td>64</td>
<td>512</td>
<td>39.4145</td>
<td>22419.04</td>
<td>22419.04</td>
<td>19056.19</td>
<td>12330.47</td>
<td>8519.24</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2.xlarge</td>
<td>4</td>
<td>15.5</td>
<td>2.322593</td>
<td>1114.84</td>
<td>1114.84</td>
<td>947.62</td>
<td>613.16</td>
<td>423.64</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2s.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.322593</td>
<td>1114.84</td>
<td>1114.84</td>
<td>947.62</td>
<td>613.16</td>
<td>423.64</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>4.17525</td>
<td>2004.12</td>
<td>2004.12</td>
<td>1703.5</td>
<td>1102.27</td>
<td>761.57</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.17525</td>
<td>2004.12</td>
<td>2004.12</td>
<td>1703.5</td>
<td>1102.27</td>
<td>761.57</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8.4xlarge</td>
<td>16</td>
<td>62</td>
<td>7.776935</td>
<td>3732.93</td>
<td>3732.93</td>
<td>3172.99</td>
<td>2053.11</td>
<td>1418.51</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8s.4xlarge</td>
<td>16</td>
<td>32</td>
<td>7.776935</td>
<td>3732.93</td>
<td>3732.93</td>
<td>3172.99</td>
<td>2053.11</td>
<td>1418.51</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.4xlarge</td>
<td>16</td>
<td>125</td>
<td>40.903</td>
<td>19633.42</td>
<td>19633.42</td>
<td>16688.4</td>
<td>10798.38</td>
<td>7460.7</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.16xlarge</td>
<td>64</td>
<td>500</td>
<td>163.6118</td>
<td>78533.67</td>
<td>78533.67</td>
<td>66753.62</td>
<td>43193.52</td>
<td>29842.79</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.32xlarge</td>
<td>128</td>
<td>1000</td>
<td>327.2236</td>
<td>157067.34</td>
<td>157067.34</td>
<td>133507.24</td>
<td>86387.04</td>
<td>59685.59</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>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-c40g1.10xlarge</td>
<td>40</td>
<td>155</td>
<td>21.089</td>
<td>10845.99</td>
<td>10845.99</td>
<td>9219.09</td>
<td>5965.29</td>
<td>4121.48</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>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>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>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>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>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>12739.03</td>
<td>8242.9</td>
<td>5695.09</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>50956.11</td>
<td>32971.6</td>
<td>22780.38</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>101912.21</td>
<td>65943.2</td>
<td>45560.75</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>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>持久内存型 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>持久内存型 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>持久内存型 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>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>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.7035</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>安全增强计算型 ecs.c6t.large</td>
<td>2</td>
<td>4</td>
<td>0.675</td>
<td>358</td>
<td>358</td>
<td>304.3</td>
<td>196.9</td>
<td>136.04</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.347916</td>
<td>715</td>
<td>715</td>
<td>607.75</td>
<td>393.25</td>
<td>271.7</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.69375</td>
<td>1430</td>
<td>1430</td>
<td>1215.5</td>
<td>786.5</td>
<td>543.4</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.385416</td>
<td>2860</td>
<td>2860</td>
<td>2431</td>
<td>1573</td>
<td>1086.8</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.770833</td>
<td>5719</td>
<td>5719</td>
<td>4861.15</td>
<td>3145.45</td>
<td>2173.22</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.13xlarge</td>
<td>52</td>
<td>96</td>
<td>17.502083</td>
<td>9292</td>
<td>9292</td>
<td>7898.2</td>
<td>5110.6</td>
<td>3530.96</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.26xlarge</td>
<td>104</td>
<td>192</td>
<td>35.004166</td>
<td>18584</td>
<td>18584</td>
<td>15796.4</td>
<td>10221.2</td>
<td>7061.92</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>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>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>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>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>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-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-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.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>通用型弹性裸金属服务器 ecs.ebmg5.24xlarge</td>
<td>96</td>
<td>384</td>
<td>40.583</td>
<td>18415.25</td>
<td>17494.49</td>
<td>13811.44</td>
<td>8286.86</td>
<td>5524.57</td>
</tr>
<tr>
<td>本地SSD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>本地SSD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>本地SSD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>本地SSD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>本地SSD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>本地SSD型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>6.82</td>
<td>3343</td>
<td>3343</td>
<td>2841.55</td>
<td>1838.65</td>
<td>1270.34</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>9.09</td>
<td>4458</td>
<td>4458</td>
<td>3789.3</td>
<td>2451.9</td>
<td>1694.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>18.18</td>
<td>8915</td>
<td>8915</td>
<td>7577.75</td>
<td>4903.25</td>
<td>3387.7</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg5s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>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>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>1.006036</td>
<td>482.9</td>
<td>482.9</td>
<td>410.46</td>
<td>265.59</td>
<td>183.5</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.012072</td>
<td>965.8</td>
<td>965.8</td>
<td>820.93</td>
<td>531.19</td>
<td>367</td>
</tr>
<tr>
<td>通用网络增强型 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>通用网络增强型 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>通用网络增强型 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>通用网络增强型 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>通用网络增强型 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>通用型 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>通用型 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>通用型 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>通用型 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>通用型 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>通用型 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>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>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>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>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>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>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>
<tr>
<td>通用型 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>通用型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.69</td>
<td>257.18</td>
<td>257.18</td>
<td>218.6</td>
<td>128.59</td>
<td>128.59</td>
</tr>
<tr>
<td>计算型 ecs.cm4.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.02</td>
<td>938.69</td>
<td>891.76</td>
<td>704.02</td>
<td>422.41</td>
<td>281.61</td>
</tr>
<tr>
<td>计算型 ecs.cm4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.11</td>
<td>1877.46</td>
<td>1783.59</td>
<td>1408.1</td>
<td>844.86</td>
<td>563.24</td>
</tr>
<tr>
<td>计算型 ecs.cm4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.06</td>
<td>2816.07</td>
<td>2675.27</td>
<td>2112.05</td>
<td>1267.23</td>
<td>844.82</td>
</tr>
<tr>
<td>计算型 ecs.cm4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.22</td>
<td>3755</td>
<td>3567.25</td>
<td>2816.25</td>
<td>1689.75</td>
<td>1126.5</td>
</tr>
<tr>
<td>计算型 ecs.cm4.6xlarge</td>
<td>24</td>
<td>96</td>
<td>12.33</td>
<td>5632.47</td>
<td>5350.85</td>
<td>4224.35</td>
<td>2534.61</td>
<td>1689.74</td>
</tr>
<tr>
<td>计算型 ecs.ce4.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.64</td>
<td>1226.1</td>
<td>1164.79</td>
<td>919.57</td>
<td>551.75</td>
<td>367.83</td>
</tr>
<tr>
<td>计算型 ecs.ce4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.28</td>
<td>2452.2</td>
<td>2329.59</td>
<td>1839.15</td>
<td>1103.49</td>
<td>735.66</td>
</tr>
<tr>
<td>计算型 ecs.c4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.53</td>
<td>814.98</td>
<td>774.23</td>
<td>611.24</td>
<td>366.74</td>
<td>244.49</td>
</tr>
<tr>
<td>计算型 ecs.c4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.06</td>
<td>1629.97</td>
<td>1548.47</td>
<td>1222.48</td>
<td>733.49</td>
<td>488.99</td>
</tr>
<tr>
<td>计算型 ecs.c4.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.596</td>
<td>2444.94</td>
<td>2322.69</td>
<td>1833.7</td>
<td>1100.22</td>
<td>733.48</td>
</tr>
<tr>
<td>计算型 ecs.c4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.13</td>
<td>3259.95</td>
<td>3096.95</td>
<td>2444.96</td>
<td>1466.98</td>
<td>977.99</td>
</tr>
<tr>
<td>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>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>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>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>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>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>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>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>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>1752.75</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>3505.5</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>7011</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>14022</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.2575</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网络增强型 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网络增强型 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网络增强型 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网络增强型 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网络增强型 ecs.i2ne.20xlarge</td>
<td>80</td>
<td>704</td>
<td>45.15</td>
<td>22449</td>
<td>22449</td>
<td>19081.65</td>
<td>12346.95</td>
<td>8530.62</td>
</tr>
<tr>
<td>本地SSD网络增强型 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网络增强型 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网络增强型 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网络增强型 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>大数据存储型 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>大数据计算型 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>存储增强内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.104</td>
<td>514.37</td>
<td>514.37</td>
<td>437.21</td>
<td>257.19</td>
<td>257.19</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.207</td>
<td>1021.85</td>
<td>1021.85</td>
<td>868.57</td>
<td>510.92</td>
<td>510.93</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.414</td>
<td>2047.78</td>
<td>2047.78</td>
<td>1740.61</td>
<td>1023.89</td>
<td>1023.89</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.827</td>
<td>4080.39</td>
<td>4080.39</td>
<td>3468.33</td>
<td>2040.2</td>
<td>2040.19</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>17.654</td>
<td>8153.83</td>
<td>8153.83</td>
<td>6930.76</td>
<td>4076.91</td>
<td>4076.91</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>32.55</td>
<td>15174.13</td>
<td>15174.13</td>
<td>12898.01</td>
<td>7587.07</td>
<td>7587.07</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>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.36</td>
<td>2577</td>
<td>2448.15</td>
<td>1932.75</td>
<td>1159.65</td>
<td>773.1</td>
</tr>
<tr>
<td>大数据型 ecs.d1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.04</td>
<td>3865.5</td>
<td>3672.22</td>
<td>2899.13</td>
<td>1739.47</td>
<td>1159.65</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.73</td>
<td>5154</td>
<td>4896.3</td>
<td>3865.5</td>
<td>2319.3</td>
<td>1546.2</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>16.1</td>
<td>7731</td>
<td>7344.45</td>
<td>5798.25</td>
<td>3478.95</td>
<td>2319.3</td>
</tr>
<tr>
<td>大数据型 ecs.d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21.47</td>
<td>10308</td>
<td>9792.6</td>
<td>7731</td>
<td>4638.6</td>
<td>3092.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.61</td>
<td>9897</td>
<td>9402.15</td>
<td>7422.75</td>
<td>4453.65</td>
<td>2969.1</td>
</tr>
<tr>
<td>大数据型 ecs.d1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>37.58</td>
<td>18040</td>
<td>17138</td>
<td>13530</td>
<td>8118</td>
<td>5412</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>31.26</td>
<td>15009</td>
<td>14258.55</td>
<td>11256.75</td>
<td>6754.05</td>
<td>4502.7</td>
</tr>
<tr>
<td>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>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>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>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>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>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>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>存储增强内存型 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>存储增强内存型 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>存储增强内存型 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>存储增强内存型 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>存储增强内存型 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>存储增强内存型 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>存储增强内存型 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>存储增强内存型 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>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-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>31.91</td>
<td>15304</td>
<td>14538.8</td>
<td>11478</td>
<td>6886.8</td>
<td>4591.2</td>
</tr>
</tbody>
</table>

2、阿里云香港云服务器最新活动价格表
目前购买计算型c7、通用型g7和内存型r7实例的香港云服务器均有优惠，配置最低可选2核4G，最高可选择8核64G，带宽为1M-5M可选，新老用户同享优惠价格，购买地址为：阿里云服务器全面降价活动，具体优惠价格如下表所示：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3171.04元/1年</td>
<td>3387.04元/1年</td>
<td>3603.04元/1年</td>
<td>3819.04元/1年</td>
<td>4035.04元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>5907.19元/1年</td>
<td>6123.19元/1年</td>
<td>6339.19元/1年</td>
<td>6555.19元/1年</td>
<td>6771.19元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>11379.50元/1年</td>
<td>11595.50元/1年</td>
<td>11811.50元/1年</td>
<td>12027.50元/1年</td>
<td>12243.50元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3905.83元/1年</td>
<td>4121.83元/1年</td>
<td>4337.83元/1年</td>
<td>4553.83元/1年</td>
<td>4769.83元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>7376.78元/1年</td>
<td>7592.78元/1年</td>
<td>7808.78元/1年</td>
<td>8024.78元/1年</td>
<td>8240.78元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>14318.68元/1年</td>
<td>14534.68元/1年</td>
<td>14750.68元/1年</td>
<td>14966.68元/1年</td>
<td>15182.68元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4722.52元/1年</td>
<td>4938.52元/1年</td>
<td>5154.52元/1年</td>
<td>5370.52元/1年</td>
<td>5586.52元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>9010.16元/1年</td>
<td>9226.16元/1年</td>
<td>9442.16元/1年</td>
<td>9658.16元/1年</td>
<td>9874.16元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>17585.45元/1年</td>
<td>17801.45元/1年</td>
<td>18017.45元/1年</td>
<td>18233.45元/1年</td>
<td>18449.45元/1年</td>
</tr>
</tbody>
</table>
<h5>如何购买阿里云香港云服务器？</h5>

购买香港云服务器有两种方式，第一种是通过上文介绍的云服务器降价活动购买，流程如下：
第一步：进入阿里云服务器全面降价活动





<div class="image-caption">云服务器全面降价图.png

第二步：找到“云服务器全球购，助力业务轻松出海”板块。






<div class="image-caption">阿里云香港云服务器.png

第三步：找到自己想要购买的香港云服务器配置，例如计算型c7实例2核4G配置，点击购买，然后在地域这里，我们可以看到有中国(香港)日本(东京)、新加坡、印度尼西亚(雅加达)、德国(法兰克福)5个地域可选，选择香港即可，当然，如果你是想购买其他海外地域的云服务器，根据需求选择即可。






<div class="image-caption">香港地域选择图.png

第四步：选择云服务器操作系统，并点击右下角“立即购买”，然后完成订单支付即可。

第二种购买阿里云香港云服务器的方法是通过云服务器ECS产品页面直接下单购买，流程如下：
第一步：进入云服务器ECS产品页面，并点击“立即购买”。







第二步：选择“自定义购买模式”，然后在地域这里选择亚太中国-中国(香港)。








第三步：根据需求选择云服务器实例规格、配置、操作系统、数据盘、带宽及购买时长，并点击左下角“确认下单”即可。






<div class="image-caption">香港云服务器下单图.png

<h5>阿里云香港云服务器如何购买更便宜？</h5>

不管我们是通过阿里云服务器产品页下单购买香港云服务器还是通过云服务器降价活动购买，在购买之前我们可以进入阿里云官网领券中心查看一下目前官方是否有送满减优惠券，如果有的话，推荐先领券再购买，在支付云服务器订单的时候，使用满减优惠券进行抵扣，这样购买价格还能再便宜。





<div class="image-caption">阿里云优惠券图.png