阿里云服务器租用价格表：海外地域云服务器最新收费标准与活动价格表
用户在租用阿里云海外地域云服务器之前，最为关心的就是海外地域云服务器的收费标准及是否有活动，活动价格是多少，阿里云服务器地域分为国内和国外，不同地域的云服务器价格是不一样的，租用时长的不同，价格也不一样，租用时间越长，价格越便宜，下面是阿里云海外地域云服务器最新收费标准与活动价格表。<h2>阿里云服务器海外地域有哪些？</h2>
阿里云海外云服务器从地域划分有亚太、欧洲与美洲和中东三个区域，具体地域有：日本(东京)、韩国(首尔)、新加坡、澳大利亚(悉尼)、马来西亚(吉隆坡)、菲律宾(马尼拉)、印度尼西亚〔雅加达)、印度(孟买)、泰国(曼谷)、美国(弗吉尼亚)、美国〔硅谷)、英国〔伦敦)、德国(法兰克福)、阿联酋(迪拜)。
https://upload-images.jianshu.io/upload_images/19316870-727fc9998551601c.png
<h2>阿里云海外地域云服务器活动价格表</h2>
小编先来说下阿里云海外地域云服务器活动价格表情况，目前有云服务器全球购活动，全球5个地域可选，助力用户业务出海，活动内可选的海外地域云服务器实例规格和配置有计算型c7（2核4G/4核8G/8核16G）、通用型g7（2核8G/4核16G/8核32G）和内存型r7（2核16G/4核32G/8核64G），带宽1M-5M，系统盘默认40G ESSD云盘，地域包含中国（香港)、日本(东京)、新加坡、印度尼西亚（雅加达)、德国(法兰克福)这5个地域可选，详细活动信息请参考官网活动：阿里云服务器新人特惠
具体活动价格表如下：
<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>计算优化型c7（国外地域）</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4492.30元/1年</td>
<td>4798.30元/1年</td>
<td>5104.30元/1年</td>
<td>5410.30元/1年</td>
<td>5716.30元/1年</td>
</tr>
<tr>
<td>计算优化型c7（国外地域）</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>8368.52元/1年</td>
<td>8674.52元/1年</td>
<td>8980.52元/1年</td>
<td>9286.52元/1年</td>
<td>9592.52元/1年</td>
</tr>
<tr>
<td>计算优化型c7（国外地域）</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>16120.96元/1年</td>
<td>16426.96元/1年</td>
<td>16732.96元/1年</td>
<td>17038.96元/1年</td>
<td>17344.96元/1年</td>
</tr>
<tr>
<td>通用算力型g7（国外地域）</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>5533.25元/1年</td>
<td>5839.25元/1年</td>
<td>6145.25元/1年</td>
<td>6451.25元/1年</td>
<td>6757.25元/1年</td>
</tr>
<tr>
<td>通用算力型g7（国外地域）</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>10450.44元/1年</td>
<td>10756.44元/1年</td>
<td>11062.44元/1年</td>
<td>11368.44元/1年</td>
<td>11674.44元/1年</td>
</tr>
<tr>
<td>通用算力型g7（国外地域）</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>20284.79元/1年</td>
<td>20590.79元/1年</td>
<td>20896.79元/1年</td>
<td>21202.79元/1年</td>
<td>21508.79元/1年</td>
</tr>
<tr>
<td>内存优化型r7（国外地域）</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>6690.24元/1年</td>
<td>6996.24元/1年</td>
<td>7302.24元/1年</td>
<td>7608.24元/1年</td>
<td>7914.24元/1年</td>
</tr>
<tr>
<td>内存优化型r7（国外地域）</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>12764.40元/1年</td>
<td>13070.40元/1年</td>
<td>13376.40元/1年</td>
<td>13682.40元/1年</td>
<td>13988.40元/1年</td>
</tr>
<tr>
<td>内存优化型r7（国外地域）</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>24912.72元/1年</td>
<td>25218.72元/1年</td>
<td>25524.72元/1年</td>
<td>25830.72元/1年</td>
<td>26136.72元/1年</td>
</tr>
</tbody>
</table>
https://upload-images.jianshu.io/upload_images/19316870-c721870127229ed5.png
购买小经验分享：
阿里云活动云服务器全面支持叠加使用优惠券，推荐大家购买之前，先了解下目前是否有优惠券，领取地址为：阿里云活动中心-领券中心，在实际租用过程中，优惠券可直接抵扣现金使用。
https://upload-images.jianshu.io/upload_images/19316870-46b93f5afe84b5eb.png
<div class="image-caption">江苏上云补贴图.png
<h2>阿里云海外地域云服务器收费标准</h2>
云服务器的收费方式可以按量（小时）计费、按月计费和年付不同的方式，详细的收费标准可通过阿里云价格计算器查询，以下以新加坡地域为例为大家展示阿里云海外地域云服务器的收费标准。
<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>ARM 内存型 ecs.r8y.small</td>
<td>1</td>
<td>8</td>
<td>0.3932</td>
<td>188.75</td>
<td>188.75</td>
<td>160.44</td>
<td>103.81</td>
<td>71.73</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.large</td>
<td>2</td>
<td>16</td>
<td>0.7865</td>
<td>377.51</td>
<td>377.51</td>
<td>320.88</td>
<td>207.63</td>
<td>143.45</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.573</td>
<td>755.02</td>
<td>755.02</td>
<td>641.76</td>
<td>415.26</td>
<td>286.91</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.1459</td>
<td>1510.03</td>
<td>1510.03</td>
<td>1283.53</td>
<td>830.52</td>
<td>573.81</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.2918</td>
<td>3020.06</td>
<td>3020.06</td>
<td>2567.05</td>
<td>1661.04</td>
<td>1147.62</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.5836</td>
<td>6040.13</td>
<td>6040.13</td>
<td>5134.11</td>
<td>3322.07</td>
<td>2295.25</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.16xlarge</td>
<td>64</td>
<td>512</td>
<td>25.1672</td>
<td>12080.26</td>
<td>12080.26</td>
<td>10268.22</td>
<td>6644.14</td>
<td>4590.5</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.small</td>
<td>1</td>
<td>4</td>
<td>0.3104</td>
<td>149</td>
<td>149</td>
<td>126.65</td>
<td>81.95</td>
<td>56.62</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.large</td>
<td>2</td>
<td>8</td>
<td>0.6208</td>
<td>297.99</td>
<td>297.99</td>
<td>253.29</td>
<td>163.89</td>
<td>113.24</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.2416</td>
<td>595.98</td>
<td>595.98</td>
<td>506.58</td>
<td>327.79</td>
<td>226.47</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.4833</td>
<td>1191.96</td>
<td>1191.96</td>
<td>1013.17</td>
<td>655.58</td>
<td>452.95</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.9665</td>
<td>2383.92</td>
<td>2383.92</td>
<td>2026.34</td>
<td>1311.16</td>
<td>905.89</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.933</td>
<td>4767.85</td>
<td>4767.85</td>
<td>4052.67</td>
<td>2622.32</td>
<td>1811.78</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.16xlarge</td>
<td>64</td>
<td>256</td>
<td>19.866</td>
<td>9535.7</td>
<td>9535.7</td>
<td>8105.34</td>
<td>5244.63</td>
<td>3623.57</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.small</td>
<td>1</td>
<td>2</td>
<td>0.2535</td>
<td>121.68</td>
<td>121.68</td>
<td>103.43</td>
<td>66.92</td>
<td>46.24</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.large</td>
<td>2</td>
<td>4</td>
<td>0.507</td>
<td>243.36</td>
<td>243.36</td>
<td>206.85</td>
<td>133.85</td>
<td>92.48</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.014</td>
<td>486.71</td>
<td>486.71</td>
<td>413.71</td>
<td>267.69</td>
<td>184.95</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.028</td>
<td>973.43</td>
<td>973.43</td>
<td>827.41</td>
<td>535.38</td>
<td>369.9</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.0559</td>
<td>1946.86</td>
<td>1946.86</td>
<td>1654.83</td>
<td>1070.77</td>
<td>739.81</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.1119</td>
<td>3893.71</td>
<td>3893.71</td>
<td>3309.65</td>
<td>2141.54</td>
<td>1479.61</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.16xlarge</td>
<td>64</td>
<td>128</td>
<td>16.2238</td>
<td>7787.42</td>
<td>7787.42</td>
<td>6619.31</td>
<td>4283.08</td>
<td>2959.22</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.large</td>
<td>2</td>
<td>8</td>
<td>0.9345</td>
<td>444.26</td>
<td>444.26</td>
<td>377.62</td>
<td>244.34</td>
<td>168.82</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.869</td>
<td>888.51</td>
<td>888.51</td>
<td>755.23</td>
<td>488.68</td>
<td>337.63</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.738</td>
<td>1777.02</td>
<td>1777.02</td>
<td>1510.47</td>
<td>977.36</td>
<td>675.27</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.607</td>
<td>2665.53</td>
<td>2665.53</td>
<td>2265.7</td>
<td>1466.04</td>
<td>1012.9</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.476</td>
<td>3554.04</td>
<td>3554.04</td>
<td>3020.93</td>
<td>1954.72</td>
<td>1350.54</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.214</td>
<td>5331.06</td>
<td>5331.06</td>
<td>4531.4</td>
<td>2932.08</td>
<td>2025.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.952</td>
<td>7108.08</td>
<td>7108.08</td>
<td>6041.87</td>
<td>3909.44</td>
<td>2701.07</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.12xlarge</td>
<td>48</td>
<td>192</td>
<td>22.428</td>
<td>10662.12</td>
<td>10662.12</td>
<td>9062.8</td>
<td>5864.17</td>
<td>4051.61</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.24xlarge</td>
<td>96</td>
<td>384</td>
<td>44.856</td>
<td>21324.24</td>
<td>21324.24</td>
<td>18125.6</td>
<td>11728.33</td>
<td>8103.21</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>0.735</td>
<td>360.73</td>
<td>360.73</td>
<td>306.62</td>
<td>198.4</td>
<td>137.08</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.47</td>
<td>721.46</td>
<td>721.46</td>
<td>613.24</td>
<td>396.8</td>
<td>274.15</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.94</td>
<td>1442.91</td>
<td>1442.91</td>
<td>1226.47</td>
<td>793.6</td>
<td>548.31</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.41</td>
<td>2164.37</td>
<td>2164.37</td>
<td>1839.71</td>
<td>1190.4</td>
<td>822.46</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.88</td>
<td>2885.82</td>
<td>2885.82</td>
<td>2452.95</td>
<td>1587.2</td>
<td>1096.61</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.82</td>
<td>4328.73</td>
<td>4328.73</td>
<td>3679.42</td>
<td>2380.8</td>
<td>1644.92</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.76</td>
<td>5771.64</td>
<td>5771.64</td>
<td>4905.89</td>
<td>3174.4</td>
<td>2193.22</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.12xlarge</td>
<td>48</td>
<td>96</td>
<td>17.64</td>
<td>8657.46</td>
<td>8657.46</td>
<td>7358.84</td>
<td>4761.6</td>
<td>3289.83</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.24xlarge</td>
<td>96</td>
<td>192</td>
<td>35.28</td>
<td>17314.92</td>
<td>17314.92</td>
<td>14717.68</td>
<td>9523.21</td>
<td>6579.67</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.large</td>
<td>2</td>
<td>16</td>
<td>1.1865</td>
<td>546.8</td>
<td>546.8</td>
<td>464.78</td>
<td>300.74</td>
<td>207.78</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.373</td>
<td>1093.6</td>
<td>1093.6</td>
<td>929.56</td>
<td>601.48</td>
<td>415.57</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.746</td>
<td>2187.19</td>
<td>2187.19</td>
<td>1859.11</td>
<td>1202.96</td>
<td>831.13</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>7.119</td>
<td>3280.79</td>
<td>3280.79</td>
<td>2788.67</td>
<td>1804.43</td>
<td>1246.7</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.492</td>
<td>4374.38</td>
<td>4374.38</td>
<td>3718.23</td>
<td>2405.91</td>
<td>1662.27</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>14.238</td>
<td>6561.58</td>
<td>6561.58</td>
<td>5577.34</td>
<td>3608.87</td>
<td>2493.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.984</td>
<td>8748.77</td>
<td>8748.77</td>
<td>7436.45</td>
<td>4811.82</td>
<td>3324.53</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.12xlarge</td>
<td>48</td>
<td>384</td>
<td>28.476</td>
<td>13123.15</td>
<td>13123.15</td>
<td>11154.68</td>
<td>7217.73</td>
<td>4986.8</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.24xlarge</td>
<td>96</td>
<td>768</td>
<td>56.952</td>
<td>26246.3</td>
<td>26246.3</td>
<td>22309.36</td>
<td>14435.47</td>
<td>9973.6</td>
</tr>
<tr>
<td>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.752297</td>
<td>442.34</td>
<td>442.34</td>
<td>375.99</td>
<td>243.29</td>
<td>168.09</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.504594</td>
<td>884.69</td>
<td>884.69</td>
<td>751.98</td>
<td>486.58</td>
<td>336.18</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.009188</td>
<td>1769.38</td>
<td>1769.38</td>
<td>1503.97</td>
<td>973.16</td>
<td>672.36</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.513782</td>
<td>2654.06</td>
<td>2654.06</td>
<td>2255.95</td>
<td>1459.73</td>
<td>1008.54</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.018377</td>
<td>3538.75</td>
<td>3538.75</td>
<td>3007.94</td>
<td>1946.31</td>
<td>1344.72</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.027565</td>
<td>5308.13</td>
<td>5308.13</td>
<td>4511.91</td>
<td>2919.47</td>
<td>2017.09</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.036754</td>
<td>7077.5</td>
<td>7077.5</td>
<td>6015.88</td>
<td>3892.63</td>
<td>2689.45</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>24.073508</td>
<td>14155</td>
<td>14155</td>
<td>12031.75</td>
<td>7785.25</td>
<td>5378.9</td>
</tr>
<tr>
<td>通用型 ecs.g7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>48.147017</td>
<td>28310</td>
<td>28310</td>
<td>24063.5</td>
<td>15570.5</td>
<td>10757.8</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>0.952909</td>
<td>544.48</td>
<td>544.48</td>
<td>462.81</td>
<td>299.46</td>
<td>206.9</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.905819</td>
<td>1088.96</td>
<td>1088.96</td>
<td>925.61</td>
<td>598.93</td>
<td>413.8</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.811638</td>
<td>2177.91</td>
<td>2177.91</td>
<td>1851.23</td>
<td>1197.85</td>
<td>827.61</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.717458</td>
<td>3266.87</td>
<td>3266.87</td>
<td>2776.84</td>
<td>1796.78</td>
<td>1241.41</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.623277</td>
<td>4355.83</td>
<td>4355.83</td>
<td>3702.45</td>
<td>2395.71</td>
<td>1655.21</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>11.434916</td>
<td>6533.74</td>
<td>6533.74</td>
<td>5553.68</td>
<td>3593.56</td>
<td>2482.82</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.246555</td>
<td>8711.66</td>
<td>8711.66</td>
<td>7404.91</td>
<td>4791.41</td>
<td>3310.43</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>30.49311</td>
<td>17423.31</td>
<td>17423.31</td>
<td>14809.82</td>
<td>9582.82</td>
<td>6620.86</td>
</tr>
<tr>
<td>内存型 ecs.r7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>60.986221</td>
<td>34846.63</td>
<td>34846.63</td>
<td>29619.63</td>
<td>19165.64</td>
<td>13241.72</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.614376</td>
<td>343.57</td>
<td>343.57</td>
<td>292.04</td>
<td>188.97</td>
<td>130.56</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.228752</td>
<td>687.15</td>
<td>687.15</td>
<td>584.07</td>
<td>377.93</td>
<td>261.12</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.457504</td>
<td>1374.29</td>
<td>1374.29</td>
<td>1168.15</td>
<td>755.86</td>
<td>522.23</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.686256</td>
<td>2061.44</td>
<td>2061.44</td>
<td>1752.23</td>
<td>1133.79</td>
<td>783.35</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.915008</td>
<td>2748.59</td>
<td>2748.59</td>
<td>2336.3</td>
<td>1511.72</td>
<td>1044.46</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.372512</td>
<td>4122.88</td>
<td>4122.88</td>
<td>3504.45</td>
<td>2267.58</td>
<td>1566.69</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.830016</td>
<td>5497.17</td>
<td>5497.17</td>
<td>4672.6</td>
<td>3023.45</td>
<td>2088.93</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.660032</td>
<td>10994.35</td>
<td>10994.35</td>
<td>9345.2</td>
<td>6046.89</td>
<td>4177.85</td>
</tr>
<tr>
<td>计算型 ecs.c7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>39.320064</td>
<td>21988.7</td>
<td>21988.7</td>
<td>18690.39</td>
<td>12093.78</td>
<td>8355.71</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg7a.64xlarge</td>
<td>256</td>
<td>1024</td>
<td>91.9904</td>
<td>41741.39</td>
<td>41741.39</td>
<td>35480.18</td>
<td>22957.76</td>
<td>15861.73</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.5236</td>
<td>261.94</td>
<td>261.94</td>
<td>222.65</td>
<td>144.06</td>
<td>99.54</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.0523</td>
<td>523.87</td>
<td>523.87</td>
<td>445.29</td>
<td>288.13</td>
<td>199.07</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.09865</td>
<td>1044.47</td>
<td>1044.47</td>
<td>887.8</td>
<td>574.46</td>
<td>396.9</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.1973</td>
<td>2088.88</td>
<td>2088.88</td>
<td>1775.54</td>
<td>1148.88</td>
<td>793.77</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.3946</td>
<td>4177.74</td>
<td>4177.74</td>
<td>3551.08</td>
<td>2297.76</td>
<td>1587.54</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a-nps1.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.3946</td>
<td>4177.74</td>
<td>4177.74</td>
<td>3551.08</td>
<td>2297.76</td>
<td>1587.54</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>16.7892</td>
<td>8355.48</td>
<td>8355.48</td>
<td>7102.16</td>
<td>4595.52</td>
<td>3175.08</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>33.5784</td>
<td>16710.97</td>
<td>16710.97</td>
<td>14204.32</td>
<td>9191.03</td>
<td>6350.17</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>0.7191</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>1.43735</td>
<td>652.2</td>
<td>652.2</td>
<td>554.37</td>
<td>358.71</td>
<td>247.83</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.8747</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>5.7494</td>
<td>2608.84</td>
<td>2608.84</td>
<td>2217.51</td>
<td>1434.86</td>
<td>991.36</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.4988</td>
<td>5217.67</td>
<td>5217.67</td>
<td>4435.02</td>
<td>2869.72</td>
<td>1982.72</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a-nps1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.4988</td>
<td>5217.67</td>
<td>5217.67</td>
<td>4435.02</td>
<td>2869.72</td>
<td>1982.72</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.9976</td>
<td>10435.35</td>
<td>10435.35</td>
<td>8870.05</td>
<td>5739.44</td>
<td>3965.43</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a-nps1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.9976</td>
<td>10435.35</td>
<td>10435.35</td>
<td>8870.05</td>
<td>5739.44</td>
<td>3965.43</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>45.9952</td>
<td>20870.7</td>
<td>20870.7</td>
<td>17740.09</td>
<td>11478.88</td>
<td>7930.86</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>0.92055</td>
<td>423.04</td>
<td>423.04</td>
<td>359.58</td>
<td>232.67</td>
<td>160.75</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.84025</td>
<td>846.12</td>
<td>846.12</td>
<td>719.2</td>
<td>465.36</td>
<td>321.52</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.67965</td>
<td>1692.23</td>
<td>1692.23</td>
<td>1438.4</td>
<td>930.73</td>
<td>643.05</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.3593</td>
<td>3384.46</td>
<td>3384.46</td>
<td>2876.79</td>
<td>1861.45</td>
<td>1286.1</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.7186</td>
<td>6768.92</td>
<td>6768.92</td>
<td>5753.59</td>
<td>3722.91</td>
<td>2572.19</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>29.4372</td>
<td>13537.85</td>
<td>13537.85</td>
<td>11507.17</td>
<td>7445.82</td>
<td>5144.38</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>58.8744</td>
<td>27075.7</td>
<td>27075.7</td>
<td>23014.34</td>
<td>14891.63</td>
<td>10288.76</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>18.065</td>
<td>8671.04</td>
<td>8671.04</td>
<td>7370.38</td>
<td>4769.07</td>
<td>3294.99</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c16g1.4xlarge</td>
<td>16</td>
<td>60</td>
<td>19.127</td>
<td>9181.1</td>
<td>9181.1</td>
<td>7803.93</td>
<td>5049.6</td>
<td>3488.82</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.8xlarge</td>
<td>32</td>
<td>188</td>
<td>21.253</td>
<td>10201.22</td>
<td>10201.22</td>
<td>8671.04</td>
<td>5610.67</td>
<td>3876.46</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c48g1.12xlarge</td>
<td>48</td>
<td>310</td>
<td>25.503047</td>
<td>12241.46</td>
<td>12241.46</td>
<td>10405.24</td>
<td>6732.8</td>
<td>4651.76</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c56g1.14xlarge</td>
<td>56</td>
<td>346</td>
<td>30.603657</td>
<td>14689.76</td>
<td>14689.76</td>
<td>12486.29</td>
<td>8079.37</td>
<td>5582.11</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.16xlarge</td>
<td>64</td>
<td>376</td>
<td>42.505</td>
<td>20402.44</td>
<td>20402.44</td>
<td>17342.07</td>
<td>11221.34</td>
<td>7752.93</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.32xlarge</td>
<td>128</td>
<td>752</td>
<td>85.01</td>
<td>40804.88</td>
<td>40804.88</td>
<td>34684.14</td>
<td>22442.68</td>
<td>15505.85</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.large</td>
<td>2</td>
<td>16</td>
<td>1.1211</td>
<td>640.56</td>
<td>640.56</td>
<td>544.48</td>
<td>352.31</td>
<td>243.41</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.2421</td>
<td>1281.13</td>
<td>1281.13</td>
<td>1088.96</td>
<td>704.62</td>
<td>486.83</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.4843</td>
<td>2562.25</td>
<td>2562.25</td>
<td>2177.91</td>
<td>1409.24</td>
<td>973.66</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.7264</td>
<td>3843.38</td>
<td>3843.38</td>
<td>3266.87</td>
<td>2113.86</td>
<td>1460.48</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.9686</td>
<td>5124.5</td>
<td>5124.5</td>
<td>4355.83</td>
<td>2818.48</td>
<td>1947.31</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.6xlarge</td>
<td>24</td>
<td>192</td>
<td>13.4528</td>
<td>7686.76</td>
<td>7686.76</td>
<td>6533.74</td>
<td>4227.72</td>
<td>2920.97</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.8xlarge</td>
<td>32</td>
<td>256</td>
<td>17.9371</td>
<td>10249.01</td>
<td>10249.01</td>
<td>8711.66</td>
<td>5636.95</td>
<td>3894.62</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.16xlarge</td>
<td>64</td>
<td>512</td>
<td>35.8742</td>
<td>20498.02</td>
<td>20498.02</td>
<td>17423.31</td>
<td>11273.91</td>
<td>7789.25</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.large</td>
<td>2</td>
<td>8</td>
<td>0.865141</td>
<td>508.7</td>
<td>508.7</td>
<td>432.39</td>
<td>279.78</td>
<td>193.3</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.730283</td>
<td>1017.39</td>
<td>1017.39</td>
<td>864.78</td>
<td>559.57</td>
<td>386.61</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.460566</td>
<td>2034.78</td>
<td>2034.78</td>
<td>1729.56</td>
<td>1119.13</td>
<td>773.22</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.19085</td>
<td>3052.17</td>
<td>3052.17</td>
<td>2594.35</td>
<td>1678.69</td>
<td>1159.83</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.921133</td>
<td>4069.56</td>
<td>4069.56</td>
<td>3459.13</td>
<td>2238.26</td>
<td>1546.43</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.3817</td>
<td>6104.34</td>
<td>6104.34</td>
<td>5188.69</td>
<td>3357.39</td>
<td>2319.65</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.842267</td>
<td>8139.13</td>
<td>8139.13</td>
<td>6918.26</td>
<td>4476.52</td>
<td>3092.87</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.16xlarge</td>
<td>64</td>
<td>256</td>
<td>27.684534</td>
<td>16278.25</td>
<td>16278.25</td>
<td>13836.51</td>
<td>8953.04</td>
<td>6185.73</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2.xlarge</td>
<td>4</td>
<td>15.5</td>
<td>2.51333</td>
<td>1206.4</td>
<td>1206.4</td>
<td>1025.44</td>
<td>663.52</td>
<td>458.43</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2s.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.51333</td>
<td>1206.4</td>
<td>1206.4</td>
<td>1025.44</td>
<td>663.52</td>
<td>458.43</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>4.529516</td>
<td>2174.17</td>
<td>2174.17</td>
<td>1848.04</td>
<td>1195.79</td>
<td>826.18</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.529516</td>
<td>2174.17</td>
<td>2174.17</td>
<td>1848.04</td>
<td>1195.79</td>
<td>826.18</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8.4xlarge</td>
<td>16</td>
<td>62</td>
<td>8.457226</td>
<td>4059.47</td>
<td>4059.47</td>
<td>3450.55</td>
<td>2232.71</td>
<td>1542.6</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8s.4xlarge</td>
<td>16</td>
<td>32</td>
<td>8.457226</td>
<td>4059.47</td>
<td>4059.47</td>
<td>3450.55</td>
<td>2232.71</td>
<td>1542.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>30.5</td>
<td>14638.91</td>
<td>13906.96</td>
<td>10979.18</td>
<td>6587.51</td>
<td>4391.67</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>122</td>
<td>58555.64</td>
<td>55627.86</td>
<td>43916.73</td>
<td>26350.04</td>
<td>17566.69</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>244</td>
<td>117111.28</td>
<td>111255.72</td>
<td>87833.46</td>
<td>52700.08</td>
<td>35133.38</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.81</td>
<td>384.65</td>
<td>384.65</td>
<td>326.95</td>
<td>211.56</td>
<td>146.17</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.62</td>
<td>769.3</td>
<td>769.3</td>
<td>653.9</td>
<td>423.12</td>
<td>292.33</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.24</td>
<td>1538.6</td>
<td>1538.6</td>
<td>1307.81</td>
<td>846.23</td>
<td>584.67</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.86</td>
<td>2307.9</td>
<td>2307.9</td>
<td>1961.72</td>
<td>1269.35</td>
<td>877</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.48</td>
<td>3077.2</td>
<td>3077.2</td>
<td>2615.62</td>
<td>1692.46</td>
<td>1169.34</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.72</td>
<td>4615.8</td>
<td>4615.8</td>
<td>3923.43</td>
<td>2538.69</td>
<td>1754</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.96</td>
<td>6154.4</td>
<td>6154.4</td>
<td>5231.24</td>
<td>3384.92</td>
<td>2338.67</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>21.06</td>
<td>10000.9</td>
<td>10000.9</td>
<td>8500.76</td>
<td>5500.49</td>
<td>3800.34</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>42.12</td>
<td>20001.8</td>
<td>20001.8</td>
<td>17001.53</td>
<td>11000.99</td>
<td>7600.68</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>8.896</td>
<td>4269.98</td>
<td>4269.98</td>
<td>3629.48</td>
<td>2348.49</td>
<td>1622.59</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>10.55</td>
<td>5064.07</td>
<td>5064.07</td>
<td>4304.46</td>
<td>2785.24</td>
<td>1924.35</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>13.859</td>
<td>6652.26</td>
<td>6652.26</td>
<td>5654.42</td>
<td>3658.74</td>
<td>2527.86</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>17.371</td>
<td>8337.96</td>
<td>8337.96</td>
<td>7087.27</td>
<td>4585.88</td>
<td>3168.42</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c40g1.10xlarge</td>
<td>40</td>
<td>155</td>
<td>22.199</td>
<td>11416.79</td>
<td>11416.79</td>
<td>9704.27</td>
<td>6279.23</td>
<td>4338.38</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>34.756</td>
<td>16682.89</td>
<td>16682.89</td>
<td>14180.46</td>
<td>9175.59</td>
<td>6339.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>68.656</td>
<td>32954.79</td>
<td>32954.79</td>
<td>28011.57</td>
<td>18125.13</td>
<td>12522.82</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>42.12</td>
<td>20001.8</td>
<td>20001.8</td>
<td>17001.53</td>
<td>11000.99</td>
<td>7600.68</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn6i.24xlarge</td>
<td>96</td>
<td>384</td>
<td>68.656</td>
<td>32954.79</td>
<td>32954.79</td>
<td>28011.57</td>
<td>18125.13</td>
<td>12522.82</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg6e.26xlarge</td>
<td>104</td>
<td>384</td>
<td>46.332</td>
<td>22001.98</td>
<td>22001.98</td>
<td>18701.68</td>
<td>12101.09</td>
<td>8360.75</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.891</td>
<td>423.12</td>
<td>423.12</td>
<td>359.65</td>
<td>232.71</td>
<td>160.78</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.782</td>
<td>846.23</td>
<td>846.23</td>
<td>719.3</td>
<td>465.43</td>
<td>321.57</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.564</td>
<td>1692.46</td>
<td>1692.46</td>
<td>1438.59</td>
<td>930.85</td>
<td>643.13</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.128</td>
<td>3384.92</td>
<td>3384.92</td>
<td>2877.18</td>
<td>1861.71</td>
<td>1286.27</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.256</td>
<td>6769.84</td>
<td>6769.84</td>
<td>5754.36</td>
<td>3723.41</td>
<td>2572.54</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>23.166</td>
<td>11000.99</td>
<td>11000.99</td>
<td>9350.84</td>
<td>6050.54</td>
<td>4180.38</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.61</td>
<td>298.76</td>
<td>298.76</td>
<td>253.95</td>
<td>164.32</td>
<td>113.53</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.22</td>
<td>597.52</td>
<td>597.52</td>
<td>507.89</td>
<td>328.64</td>
<td>227.06</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.44</td>
<td>1195.04</td>
<td>1195.04</td>
<td>1015.78</td>
<td>657.27</td>
<td>454.12</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.66</td>
<td>1792.56</td>
<td>1792.56</td>
<td>1523.68</td>
<td>985.91</td>
<td>681.17</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.88</td>
<td>2390.08</td>
<td>2390.08</td>
<td>2031.57</td>
<td>1314.54</td>
<td>908.23</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.32</td>
<td>3585.12</td>
<td>3585.12</td>
<td>3047.35</td>
<td>1971.82</td>
<td>1362.35</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.76</td>
<td>4780.16</td>
<td>4780.16</td>
<td>4063.14</td>
<td>2629.09</td>
<td>1816.46</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>15.86</td>
<td>7767.76</td>
<td>7767.76</td>
<td>6602.6</td>
<td>4272.27</td>
<td>2951.75</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>31.72</td>
<td>15535.52</td>
<td>15535.52</td>
<td>13205.19</td>
<td>8544.54</td>
<td>5903.5</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>1.02</td>
<td>473.46</td>
<td>473.46</td>
<td>402.44</td>
<td>260.4</td>
<td>179.91</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.04</td>
<td>946.92</td>
<td>946.92</td>
<td>804.88</td>
<td>520.81</td>
<td>359.83</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.08</td>
<td>1893.84</td>
<td>1893.84</td>
<td>1609.76</td>
<td>1041.61</td>
<td>719.66</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.12</td>
<td>2840.76</td>
<td>2840.76</td>
<td>2414.65</td>
<td>1562.42</td>
<td>1079.49</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.16</td>
<td>3787.68</td>
<td>3787.68</td>
<td>3219.53</td>
<td>2083.22</td>
<td>1439.32</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.24</td>
<td>5681.52</td>
<td>5681.52</td>
<td>4829.29</td>
<td>3124.84</td>
<td>2158.98</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.32</td>
<td>7575.36</td>
<td>7575.36</td>
<td>6439.06</td>
<td>4166.45</td>
<td>2878.64</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>26.52</td>
<td>12309.96</td>
<td>12309.96</td>
<td>10463.47</td>
<td>6770.48</td>
<td>4677.78</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>53.04</td>
<td>24619.92</td>
<td>24619.92</td>
<td>20926.93</td>
<td>13540.96</td>
<td>9355.57</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.05</td>
<td>18.39</td>
<td>18.39</td>
<td>15.63</td>
<td>10.11</td>
<td>6.99</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.09</td>
<td>36.36</td>
<td>36.36</td>
<td>30.91</td>
<td>20</td>
<td>13.82</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.17</td>
<td>72.79</td>
<td>72.79</td>
<td>61.87</td>
<td>40.03</td>
<td>27.66</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.33</td>
<td>145.51</td>
<td>145.51</td>
<td>123.68</td>
<td>80.03</td>
<td>55.29</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.64</td>
<td>291.1</td>
<td>291.1</td>
<td>247.43</td>
<td>160.1</td>
<td>110.62</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.27</td>
<td>582.12</td>
<td>582.12</td>
<td>494.8</td>
<td>320.17</td>
<td>221.21</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.54</td>
<td>1164.25</td>
<td>1164.25</td>
<td>989.61</td>
<td>640.34</td>
<td>442.42</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.7</td>
<td>343.55</td>
<td>343.55</td>
<td>292.02</td>
<td>188.95</td>
<td>130.55</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.4</td>
<td>687.1</td>
<td>687.1</td>
<td>584.03</td>
<td>377.9</td>
<td>261.1</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.8</td>
<td>1374.2</td>
<td>1374.2</td>
<td>1168.07</td>
<td>755.81</td>
<td>522.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.2</td>
<td>2061.3</td>
<td>2061.3</td>
<td>1752.1</td>
<td>1133.71</td>
<td>783.29</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.6</td>
<td>2748.4</td>
<td>2748.4</td>
<td>2336.14</td>
<td>1511.62</td>
<td>1044.39</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.4</td>
<td>4122.6</td>
<td>4122.6</td>
<td>3504.21</td>
<td>2267.43</td>
<td>1566.59</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.2</td>
<td>5496.8</td>
<td>5496.8</td>
<td>4672.28</td>
<td>3023.24</td>
<td>2088.78</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>14</td>
<td>6871</td>
<td>6871</td>
<td>5840.35</td>
<td>3779.05</td>
<td>2610.98</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>22.4</td>
<td>10993.6</td>
<td>10993.6</td>
<td>9344.56</td>
<td>6046.48</td>
<td>4177.57</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>28</td>
<td>13742</td>
<td>13742</td>
<td>11680.7</td>
<td>7558.1</td>
<td>5221.96</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.89</td>
<td>423.1</td>
<td>423.1</td>
<td>359.63</td>
<td>232.7</td>
<td>160.78</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.78</td>
<td>846.2</td>
<td>846.2</td>
<td>719.27</td>
<td>465.41</td>
<td>321.56</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.56</td>
<td>1692.4</td>
<td>1692.4</td>
<td>1438.54</td>
<td>930.82</td>
<td>643.11</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.34</td>
<td>2538.6</td>
<td>2538.6</td>
<td>2157.81</td>
<td>1396.23</td>
<td>964.67</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.12</td>
<td>3384.8</td>
<td>3384.8</td>
<td>2877.08</td>
<td>1861.64</td>
<td>1286.22</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.68</td>
<td>5077.2</td>
<td>5077.2</td>
<td>4315.62</td>
<td>2792.46</td>
<td>1929.34</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.24</td>
<td>6769.6</td>
<td>6769.6</td>
<td>5754.16</td>
<td>3723.28</td>
<td>2572.45</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>17.8</td>
<td>8462</td>
<td>8462</td>
<td>7192.7</td>
<td>4654.1</td>
<td>3215.56</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>28.48</td>
<td>13539.2</td>
<td>13539.2</td>
<td>11508.32</td>
<td>7446.56</td>
<td>5144.9</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>35.6</td>
<td>16924</td>
<td>16924</td>
<td>14385.4</td>
<td>9308.2</td>
<td>6431.12</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>27.588</td>
<td>14187.97</td>
<td>14187.97</td>
<td>12059.77</td>
<td>7803.38</td>
<td>5391.43</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>110.351</td>
<td>56751.88</td>
<td>56751.88</td>
<td>48239.1</td>
<td>31213.53</td>
<td>21565.71</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>220.702</td>
<td>113503.76</td>
<td>113503.76</td>
<td>96478.19</td>
<td>62427.07</td>
<td>43131.43</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>1.13</td>
<td>520.76</td>
<td>520.76</td>
<td>442.65</td>
<td>286.42</td>
<td>197.89</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.26</td>
<td>1041.52</td>
<td>1041.52</td>
<td>885.29</td>
<td>572.84</td>
<td>395.78</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.52</td>
<td>2083.04</td>
<td>2083.04</td>
<td>1770.58</td>
<td>1145.67</td>
<td>791.56</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.78</td>
<td>3124.56</td>
<td>3124.56</td>
<td>2655.88</td>
<td>1718.51</td>
<td>1187.33</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.04</td>
<td>4166.08</td>
<td>4166.08</td>
<td>3541.17</td>
<td>2291.34</td>
<td>1583.11</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>13.56</td>
<td>6249.12</td>
<td>6249.12</td>
<td>5311.75</td>
<td>3437.02</td>
<td>2374.67</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.08</td>
<td>8332.16</td>
<td>8332.16</td>
<td>7082.34</td>
<td>4582.69</td>
<td>3166.22</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>22.6</td>
<td>10415.2</td>
<td>10415.2</td>
<td>8852.92</td>
<td>5728.36</td>
<td>3957.78</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>36.16</td>
<td>16664.32</td>
<td>16664.32</td>
<td>14164.67</td>
<td>9165.38</td>
<td>6332.44</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>45.2</td>
<td>20830.4</td>
<td>20830.4</td>
<td>17705.84</td>
<td>11456.72</td>
<td>7915.55</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>31.72</td>
<td>15535.52</td>
<td>15535.52</td>
<td>13205.19</td>
<td>8544.54</td>
<td>5903.5</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>53.04</td>
<td>24619.92</td>
<td>24619.92</td>
<td>20926.93</td>
<td>13540.96</td>
<td>9355.57</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>1.122</td>
<td>520.81</td>
<td>520.81</td>
<td>442.69</td>
<td>286.44</td>
<td>197.91</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.244</td>
<td>1041.61</td>
<td>1041.61</td>
<td>885.37</td>
<td>572.89</td>
<td>395.81</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.488</td>
<td>2083.22</td>
<td>2083.22</td>
<td>1770.74</td>
<td>1145.77</td>
<td>791.63</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.976</td>
<td>4166.45</td>
<td>4166.45</td>
<td>3541.48</td>
<td>2291.55</td>
<td>1583.25</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>17.952</td>
<td>8332.9</td>
<td>8332.9</td>
<td>7082.96</td>
<td>4583.09</td>
<td>3166.5</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>29.172</td>
<td>13540.96</td>
<td>13540.96</td>
<td>11509.81</td>
<td>7447.53</td>
<td>5145.56</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.6405</td>
<td>313.7</td>
<td>313.7</td>
<td>266.64</td>
<td>172.53</td>
<td>119.21</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.281</td>
<td>627.4</td>
<td>627.4</td>
<td>533.29</td>
<td>345.07</td>
<td>238.41</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.562</td>
<td>1254.79</td>
<td>1254.79</td>
<td>1066.57</td>
<td>690.14</td>
<td>476.82</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.124</td>
<td>2509.58</td>
<td>2509.58</td>
<td>2133.15</td>
<td>1380.27</td>
<td>953.64</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.248</td>
<td>5019.17</td>
<td>5019.17</td>
<td>4266.29</td>
<td>2760.54</td>
<td>1907.28</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>16.653</td>
<td>8156.15</td>
<td>8156.15</td>
<td>6932.73</td>
<td>4485.88</td>
<td>3099.34</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>33.306</td>
<td>16312.3</td>
<td>16312.3</td>
<td>13865.45</td>
<td>8971.76</td>
<td>6198.67</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.large</td>
<td>2</td>
<td>4</td>
<td>0.552083</td>
<td>324</td>
<td>324</td>
<td>275.4</td>
<td>178.2</td>
<td>123.12</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.102083</td>
<td>647</td>
<td>647</td>
<td>549.95</td>
<td>355.85</td>
<td>245.86</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.204166</td>
<td>1293</td>
<td>1293</td>
<td>1099.05</td>
<td>711.15</td>
<td>491.34</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.40625</td>
<td>2585</td>
<td>2585</td>
<td>2197.25</td>
<td>1421.75</td>
<td>982.3</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.8125</td>
<td>5170</td>
<td>5170</td>
<td>4394.5</td>
<td>2843.5</td>
<td>1964.6</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.13xlarge</td>
<td>52</td>
<td>96</td>
<td>14.320833</td>
<td>8401</td>
<td>8401</td>
<td>7140.85</td>
<td>4620.55</td>
<td>3192.38</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.26xlarge</td>
<td>104</td>
<td>192</td>
<td>28.639583</td>
<td>16802</td>
<td>16802</td>
<td>14281.7</td>
<td>9241.1</td>
<td>6384.76</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g6t.large</td>
<td>2</td>
<td>8</td>
<td>0.92</td>
<td>436</td>
<td>436</td>
<td>370.6</td>
<td>239.8</td>
<td>165.68</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g6t.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.84</td>
<td>872</td>
<td>872</td>
<td>741.2</td>
<td>479.6</td>
<td>331.36</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g6t.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.68</td>
<td>1744</td>
<td>1744</td>
<td>1482.4</td>
<td>959.2</td>
<td>662.72</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g6t.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.36</td>
<td>3488</td>
<td>3488</td>
<td>2964.8</td>
<td>1918.4</td>
<td>1325.44</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g6t.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.72</td>
<td>6976</td>
<td>6976</td>
<td>5929.6</td>
<td>3836.8</td>
<td>2650.88</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g6t.13xlarge</td>
<td>52</td>
<td>192</td>
<td>23.92</td>
<td>11336</td>
<td>11336</td>
<td>9635.6</td>
<td>6234.8</td>
<td>4307.68</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g6t.26xlarge</td>
<td>104</td>
<td>384</td>
<td>47.84</td>
<td>22672</td>
<td>22672</td>
<td>19271.2</td>
<td>12469.6</td>
<td>8615.36</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.13xlarge</td>
<td>52</td>
<td>192</td>
<td>28.366254</td>
<td>16546.86</td>
<td>16546.86</td>
<td>14064.83</td>
<td>9100.77</td>
<td>6287.81</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.13xlarge</td>
<td>52</td>
<td>192</td>
<td>28.366</td>
<td>16546.86</td>
<td>16546.86</td>
<td>14064.83</td>
<td>9100.77</td>
<td>6287.81</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.26xlarge</td>
<td>104</td>
<td>384</td>
<td>56.732509</td>
<td>33093.73</td>
<td>33093.73</td>
<td>28129.67</td>
<td>18201.55</td>
<td>12575.62</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.large</td>
<td>2</td>
<td>4</td>
<td>0.544</td>
<td>261.11</td>
<td>261.11</td>
<td>221.94</td>
<td>143.61</td>
<td>99.22</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.088</td>
<td>522.22</td>
<td>522.22</td>
<td>443.89</td>
<td>287.22</td>
<td>198.44</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.1759</td>
<td>1044.44</td>
<td>1044.44</td>
<td>887.77</td>
<td>574.44</td>
<td>396.89</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.3518</td>
<td>2088.87</td>
<td>2088.87</td>
<td>1775.54</td>
<td>1148.88</td>
<td>793.77</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.7036</td>
<td>4177.74</td>
<td>4177.74</td>
<td>3551.08</td>
<td>2297.76</td>
<td>1587.54</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.16xlarge</td>
<td>64</td>
<td>128</td>
<td>17.4073</td>
<td>8355.48</td>
<td>8355.48</td>
<td>7102.16</td>
<td>4595.52</td>
<td>3175.08</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.large</td>
<td>2</td>
<td>8</td>
<td>0.6794</td>
<td>326.11</td>
<td>326.11</td>
<td>277.19</td>
<td>179.36</td>
<td>123.92</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.3588</td>
<td>652.21</td>
<td>652.21</td>
<td>554.38</td>
<td>358.71</td>
<td>247.84</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.7175</td>
<td>1304.42</td>
<td>1304.42</td>
<td>1108.76</td>
<td>717.43</td>
<td>495.68</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.4351</td>
<td>2608.84</td>
<td>2608.84</td>
<td>2217.51</td>
<td>1434.86</td>
<td>991.36</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.8702</td>
<td>5217.68</td>
<td>5217.68</td>
<td>4435.02</td>
<td>2869.72</td>
<td>1982.72</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.16xlarge</td>
<td>64</td>
<td>256</td>
<td>21.7403</td>
<td>10435.35</td>
<td>10435.35</td>
<td>8870.05</td>
<td>5739.44</td>
<td>3965.43</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m4-vws.xlarge</td>
<td>4</td>
<td>23</td>
<td>3.376233</td>
<td>1620.59</td>
<td>1620.59</td>
<td>1377.5</td>
<td>891.33</td>
<td>615.83</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m8-vws.2xlarge</td>
<td>10</td>
<td>46</td>
<td>6.094542</td>
<td>2925.38</td>
<td>2925.38</td>
<td>2486.57</td>
<td>1608.96</td>
<td>1111.64</td>
</tr>
<tr>
<td>ARM GPU计算型弹性裸金属服务器 ecs.ebmgn6ia.20xlarge</td>
<td>80</td>
<td>256</td>
<td>47.919</td>
<td>23001.09</td>
<td>23001.09</td>
<td>19550.93</td>
<td>12650.6</td>
<td>8740.42</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>12.58</td>
<td>6042</td>
<td>5739.9</td>
<td>4531.5</td>
<td>2718.9</td>
<td>1812.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>15.15</td>
<td>7276</td>
<td>6912.2</td>
<td>5457</td>
<td>3274.2</td>
<td>2182.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>25.17</td>
<td>12085</td>
<td>11480.75</td>
<td>9063.75</td>
<td>5438.25</td>
<td>3625.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>30.31</td>
<td>14552</td>
<td>13824.4</td>
<td>10914</td>
<td>6548.4</td>
<td>4365.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>21.81</td>
<td>10470</td>
<td>9946.5</td>
<td>7852.5</td>
<td>4711.5</td>
<td>3141</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>43.62</td>
<td>20940</td>
<td>19893</td>
<td>15705</td>
<td>9423</td>
<td>6282</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.616</td>
<td>308.16</td>
<td>308.16</td>
<td>261.94</td>
<td>169.49</td>
<td>117.1</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.238</td>
<td>616.32</td>
<td>616.32</td>
<td>523.87</td>
<td>338.98</td>
<td>234.2</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.469</td>
<td>1228.79</td>
<td>1228.79</td>
<td>1044.47</td>
<td>675.83</td>
<td>466.94</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.704</td>
<td>1843.21</td>
<td>1843.21</td>
<td>1566.73</td>
<td>1013.77</td>
<td>700.42</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.938</td>
<td>2457.5</td>
<td>2457.5</td>
<td>2088.88</td>
<td>1351.63</td>
<td>933.85</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.407</td>
<td>3686.28</td>
<td>3686.28</td>
<td>3133.34</td>
<td>2027.45</td>
<td>1400.79</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.876</td>
<td>4914.99</td>
<td>4914.99</td>
<td>4177.74</td>
<td>2703.24</td>
<td>1867.7</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.751</td>
<td>9829.98</td>
<td>9829.98</td>
<td>8355.48</td>
<td>5406.49</td>
<td>3735.39</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.846</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>1.691</td>
<td>767.29</td>
<td>767.29</td>
<td>652.2</td>
<td>422.01</td>
<td>291.57</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.382</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>5.073</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>6.764</td>
<td>3069.22</td>
<td>3069.22</td>
<td>2608.84</td>
<td>1688.07</td>
<td>1166.3</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.146</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>13.528</td>
<td>6138.43</td>
<td>6138.43</td>
<td>5217.67</td>
<td>3376.14</td>
<td>2332.6</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>27.056</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>1.083</td>
<td>497.69</td>
<td>497.69</td>
<td>423.04</td>
<td>273.73</td>
<td>189.12</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.165</td>
<td>995.43</td>
<td>995.43</td>
<td>846.12</td>
<td>547.49</td>
<td>378.26</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.329</td>
<td>1990.86</td>
<td>1990.86</td>
<td>1692.23</td>
<td>1094.97</td>
<td>756.53</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.494</td>
<td>2986.29</td>
<td>2986.29</td>
<td>2538.35</td>
<td>1642.46</td>
<td>1134.79</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.658</td>
<td>3981.66</td>
<td>3981.66</td>
<td>3384.41</td>
<td>2189.91</td>
<td>1513.03</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.987</td>
<td>5972.52</td>
<td>5972.52</td>
<td>5076.64</td>
<td>3284.89</td>
<td>2269.56</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>17.316</td>
<td>7963.31</td>
<td>7963.31</td>
<td>6768.81</td>
<td>4379.82</td>
<td>3026.06</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>34.631</td>
<td>15926.68</td>
<td>15926.68</td>
<td>13537.68</td>
<td>8759.67</td>
<td>6052.14</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.745</td>
<td>370.59</td>
<td>352.06</td>
<td>277.94</td>
<td>166.77</td>
<td>111.18</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.489</td>
<td>741.18</td>
<td>704.12</td>
<td>555.88</td>
<td>333.53</td>
<td>222.35</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.97</td>
<td>1477.63</td>
<td>1403.75</td>
<td>1108.22</td>
<td>664.93</td>
<td>443.29</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.458</td>
<td>2216.44</td>
<td>2105.62</td>
<td>1662.33</td>
<td>997.4</td>
<td>664.93</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.939</td>
<td>2955.18</td>
<td>2807.42</td>
<td>2216.38</td>
<td>1329.83</td>
<td>886.55</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.908</td>
<td>4432.8</td>
<td>4211.16</td>
<td>3324.6</td>
<td>1994.76</td>
<td>1329.84</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.878</td>
<td>5910.36</td>
<td>5614.84</td>
<td>4432.77</td>
<td>2659.66</td>
<td>1773.11</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>815.31</td>
<td>774.54</td>
<td>611.48</td>
<td>366.89</td>
<td>244.59</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>1625.42</td>
<td>1544.15</td>
<td>1219.07</td>
<td>731.44</td>
<td>487.63</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>2438.09</td>
<td>2316.19</td>
<td>1828.57</td>
<td>1097.14</td>
<td>731.43</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>4876.1</td>
<td>4632.29</td>
<td>3657.08</td>
<td>2194.25</td>
<td>1462.83</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>6501.45</td>
<td>6176.38</td>
<td>4876.09</td>
<td>2925.65</td>
<td>1950.44</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>21</td>
<td>19.95</td>
<td>15.75</td>
<td>9.45</td>
<td>6.3</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>39</td>
<td>37.05</td>
<td>29.25</td>
<td>17.55</td>
<td>11.7</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>63</td>
<td>59.85</td>
<td>47.25</td>
<td>28.35</td>
<td>18.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.23</td>
<td>104</td>
<td>98.8</td>
<td>78</td>
<td>46.8</td>
<td>31.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.32</td>
<td>144</td>
<td>136.8</td>
<td>108</td>
<td>64.8</td>
<td>43.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.54</td>
<td>223</td>
<td>211.85</td>
<td>167.25</td>
<td>100.35</td>
<td>66.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.28</td>
<td>126</td>
<td>119.7</td>
<td>94.5</td>
<td>56.7</td>
<td>37.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.41</td>
<td>187</td>
<td>177.65</td>
<td>140.25</td>
<td>84.15</td>
<td>56.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.46</td>
<td>207</td>
<td>196.65</td>
<td>155.25</td>
<td>93.15</td>
<td>62.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.64</td>
<td>287</td>
<td>272.65</td>
<td>215.25</td>
<td>129.15</td>
<td>86.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.08</td>
<td>445</td>
<td>422.75</td>
<td>333.75</td>
<td>200.25</td>
<td>133.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>0.92</td>
<td>414</td>
<td>393.3</td>
<td>310.5</td>
<td>186.3</td>
<td>124.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.27</td>
<td>574</td>
<td>545.3</td>
<td>430.5</td>
<td>258.3</td>
<td>172.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.17</td>
<td>890</td>
<td>845.5</td>
<td>667.5</td>
<td>400.5</td>
<td>267</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>1.84</td>
<td>828</td>
<td>786.6</td>
<td>621</td>
<td>372.6</td>
<td>248.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.54</td>
<td>1148</td>
<td>1090.6</td>
<td>861</td>
<td>516.6</td>
<td>344.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.59</td>
<td>293</td>
<td>293</td>
<td>249.05</td>
<td>161.15</td>
<td>111.34</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.18</td>
<td>586</td>
<td>586</td>
<td>498.1</td>
<td>322.3</td>
<td>222.68</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.35</td>
<td>1167</td>
<td>1167</td>
<td>991.95</td>
<td>641.85</td>
<td>443.46</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.52</td>
<td>1751</td>
<td>1751</td>
<td>1488.35</td>
<td>963.05</td>
<td>665.38</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.69</td>
<td>2335</td>
<td>2335</td>
<td>1984.75</td>
<td>1284.25</td>
<td>887.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>7.04</td>
<td>3502</td>
<td>3502</td>
<td>2976.7</td>
<td>1926.1</td>
<td>1330.76</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>9.38</td>
<td>4669</td>
<td>4669</td>
<td>3968.65</td>
<td>2567.95</td>
<td>1774.22</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>18.76</td>
<td>9338</td>
<td>9338</td>
<td>7937.3</td>
<td>5135.9</td>
<td>3548.44</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>40.584</td>
<td>18415.22</td>
<td>17494.46</td>
<td>13811.42</td>
<td>8286.85</td>
<td>5524.57</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc5s.24xlarge</td>
<td>96</td>
<td>192</td>
<td>29.627</td>
<td>14744.97</td>
<td>14744.97</td>
<td>12533.22</td>
<td>8109.73</td>
<td>5603.09</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.789812</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>1.579625</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>1.368</td>
<td>682.91</td>
<td>682.91</td>
<td>580.47</td>
<td>341.45</td>
<td>341.45</td>
</tr>
<tr>
<td>通用型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.736</td>
<td>1361.5</td>
<td>1361.5</td>
<td>1157.27</td>
<td>680.75</td>
<td>680.75</td>
</tr>
<tr>
<td>通用型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.471</td>
<td>2723</td>
<td>2723</td>
<td>2314.55</td>
<td>1361.5</td>
<td>1361.5</td>
</tr>
<tr>
<td>通用型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.942</td>
<td>5446</td>
<td>5446</td>
<td>4629.1</td>
<td>2723</td>
<td>2723</td>
</tr>
<tr>
<td>通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.388</td>
<td>195.57</td>
<td>195.57</td>
<td>166.23</td>
<td>97.79</td>
<td>97.79</td>
</tr>
<tr>
<td>通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>0.777</td>
<td>391.14</td>
<td>391.14</td>
<td>332.47</td>
<td>195.57</td>
<td>195.57</td>
</tr>
<tr>
<td>通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.544</td>
<td>782.28</td>
<td>782.28</td>
<td>664.94</td>
<td>391.14</td>
<td>391.14</td>
</tr>
<tr>
<td>通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.098</td>
<td>1564.57</td>
<td>1564.57</td>
<td>1329.88</td>
<td>782.28</td>
<td>782.28</td>
</tr>
<tr>
<td>通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.2</td>
<td>3129.22</td>
<td>3129.22</td>
<td>2659.84</td>
<td>1564.61</td>
<td>1564.61</td>
</tr>
<tr>
<td>通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.397</td>
<td>6258.44</td>
<td>6258.44</td>
<td>5319.67</td>
<td>3129.22</td>
<td>3129.22</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>0.552</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>1.6</td>
<td>801.05</td>
<td>761</td>
<td>600.79</td>
<td>360.47</td>
<td>240.31</td>
</tr>
<tr>
<td>计算型 ecs.c4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.2</td>
<td>1602.11</td>
<td>1522</td>
<td>1201.58</td>
<td>720.95</td>
<td>480.63</td>
</tr>
<tr>
<td>计算型 ecs.c4.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.806</td>
<td>2403.15</td>
<td>2282.99</td>
<td>1802.36</td>
<td>1081.42</td>
<td>720.94</td>
</tr>
<tr>
<td>计算型 ecs.c4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.41</td>
<td>3204.22</td>
<td>3044.01</td>
<td>2403.16</td>
<td>1441.9</td>
<td>961.27</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.10xlarge</td>
<td>40</td>
<td>480</td>
<td>30.755</td>
<td>13835.5</td>
<td>13835.5</td>
<td>11760.18</td>
<td>6917.75</td>
<td>6917.75</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.20xlarge</td>
<td>80</td>
<td>960</td>
<td>61.51</td>
<td>27671</td>
<td>27671</td>
<td>23520.35</td>
<td>13835.5</td>
<td>13835.5</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.40xlarge</td>
<td>160</td>
<td>1920</td>
<td>123.01</td>
<td>55333</td>
<td>55333</td>
<td>47033.05</td>
<td>27666.5</td>
<td>27666.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.1169</td>
<td>4856.13</td>
<td>4856.13</td>
<td>4127.71</td>
<td>2670.87</td>
<td>1845.33</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.8xlarge</td>
<td>32</td>
<td>256</td>
<td>20.2339</td>
<td>9712.26</td>
<td>9712.26</td>
<td>8255.42</td>
<td>5341.74</td>
<td>3690.66</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.16xlarge</td>
<td>64</td>
<td>512</td>
<td>40.4676</td>
<td>19424.46</td>
<td>19424.46</td>
<td>16510.79</td>
<td>10683.45</td>
<td>7381.29</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4r.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>80.9352</td>
<td>38848.91</td>
<td>38848.91</td>
<td>33021.57</td>
<td>21366.9</td>
<td>14762.59</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.634</td>
<td>1262.54</td>
<td>1262.54</td>
<td>1073.16</td>
<td>694.4</td>
<td>479.77</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.267</td>
<td>2525.01</td>
<td>2525.01</td>
<td>2146.26</td>
<td>1388.76</td>
<td>959.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.526</td>
<td>5050.15</td>
<td>5050.15</td>
<td>4292.63</td>
<td>2777.58</td>
<td>1919.06</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.8xlarge</td>
<td>32</td>
<td>256</td>
<td>21.044</td>
<td>10100.29</td>
<td>10100.29</td>
<td>8585.25</td>
<td>5555.16</td>
<td>3838.11</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.13xlarge</td>
<td>52</td>
<td>384</td>
<td>31.569</td>
<td>15150.43</td>
<td>15150.43</td>
<td>12877.87</td>
<td>8332.74</td>
<td>5757.16</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.26xlarge</td>
<td>104</td>
<td>768</td>
<td>63.131</td>
<td>30300.86</td>
<td>30300.86</td>
<td>25755.73</td>
<td>16665.47</td>
<td>11514.33</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网络增强型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.257</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>4.504999</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>9.009</td>
<td>4488.75</td>
<td>4488.75</td>
<td>3815.44</td>
<td>2468.81</td>
<td>1705.72</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.008</td>
<td>8977.5</td>
<td>8977.5</td>
<td>7630.88</td>
<td>4937.63</td>
<td>3411.45</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>512</td>
<td>36.004997</td>
<td>17955</td>
<td>17955</td>
<td>15261.75</td>
<td>9875.25</td>
<td>6822.9</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.20xlarge</td>
<td>80</td>
<td>704</td>
<td>45.14</td>
<td>22449</td>
<td>22449</td>
<td>19081.65</td>
<td>12346.95</td>
<td>8530.62</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>22.827</td>
<td>6573.69</td>
<td>6573.69</td>
<td>5587.64</td>
<td>3615.53</td>
<td>2498</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>45.654</td>
<td>13147.3</td>
<td>13147.3</td>
<td>11175.2</td>
<td>7231.02</td>
<td>4995.97</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>91.3</td>
<td>26294.6</td>
<td>26294.6</td>
<td>22350.41</td>
<td>14462.03</td>
<td>9991.95</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>ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>0.716</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>1.437</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>2.873</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>4.296</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>5.745</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>8.592</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>11.49</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>
</tbody>
</table>
页:
[1]