|
|
最近，阿里云在云服务器新人特惠活动中上架了一批海外地域云服务器，2核4G配置3171.04元1年起；2核8G配置3905.83元1年起；2核16G配置9010.16元1年起，本文详细为大家介绍了阿里云海外地域云服务器的最新优惠价格及收费标准，以供参考。
此次海外云服务器优惠折扣为6折，配置为计算型2核4G、4核8G、8核16G，通用型2核8G、4核16G、8核32G，内存型2核16G、4核32G、8核64G，全球5个地域可选，最低仅需3171.04元1年即可购买一台海外地域的阿里云服务器，购买后还享升级6折权益1次。折扣为6折，配置为计算型2核4G、4核8G、8核16G，通用型2核8G、4核16G、8核32G，内存型2核16G、4核32G、8核64G，全球5个地域可选，最低仅需3171.04元1年即可购买一台海外地域的阿里云服务器
<h5>一、可选海外地域云服务器实例规格、配置、折扣及可选地域介绍</h5>
1、可选实例规格及配置：
- 海外云服务器c7：可选2核4G、4核8G、8核16G配置；
- 海外云服务器g7：可选2核8G、4核16G、8核32G配置；
- 海外云服务器r7：可选2核16G、4核32G、8核64G；
2、折扣：
6折，新人专享，每个用户限购1件。
3、可选地域：
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)全球5个地域可选。
<h5>二、阿里云服务器海外地域优惠价格表</h5>
此次海外地域云服务器具体活动价格和配置如下：
<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>活动价格参考</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>3171.04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>5907.19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>11379.50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>3905.83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>7376.78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>14318.68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>9010.16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>4722.52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>17585.45元/1年</td>
</tr>
</tbody>
</table>
详细价格参考及购买直达：点此进入阿里云服务器新人特惠活动，云服务器全球购，助力业务轻松出海专区
<h5>三、海外地域阿里云服务器主要适用场景</h5>
- 海外云服务器c7：适用于网站应用、各种类型和规模的企业级应用。
- 海外云服务器g7：适用于中小型数据库系统、缓存、搜索集群。
- 海外云服务器r7：适用于数据分析与挖掘，Hadoop、Spark集群。
<h5>四、海外地域阿里云服务器收费标准</h5>
阿里云服务器收费标准是指官方定价，实际购买价格要比定价便宜，一方面阿里云会通过官方领券中心和官方云小站平台等平台不定期送优惠券或代金券，如下图所示：
<div class="image-caption">阿里云优惠券与代金券图.png
另一方面，阿里云系统会根据用户实际购买时长享受对应的优惠折扣，一般为年付85折、2年付7折、3年付5折不等的折扣。
阿里云服务器价格组成包括：ECS实例规格+CPU内存配置+公网带宽+磁盘存储。
- ECS实例规格：阿里云服务器ECS实例规格包括计算型c6、共享标准型s6、GPU服务器等规格，ECS实例规格不同，CPU内存配置相同价格也不同；CPU- 内存配置：几核几G，如2核4、4核8G、2核8G、8核16G、4核16G等配置；
- 公网带宽：云服务器对外提供服务需要购买公网带宽，带宽价格一般为23元/Mbps/月；
- 磁盘存储：云服务器磁盘，如服务器系统盘或数据盘，磁盘类型分为高效云盘、SSD云盘等。
小编以新加坡地域为例来详细说下阿里云海外地域阿里云服务器收费标准：
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPU</th>
<th>内存(GB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>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>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>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>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>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>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>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>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>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.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>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>436</td>
<td>436</td>
<td>436</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>872</td>
<td>872</td>
<td>872</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>1744</td>
<td>1744</td>
<td>1744</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>3488</td>
<td>3488</td>
<td>3488</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>6976</td>
<td>6976</td>
<td>6976</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>11336</td>
<td>11336</td>
<td>11336</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>22672</td>
<td>22672</td>
<td>22672</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>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>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>网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.04</td>
<td>1931.59</td>
<td>1931.59</td>
<td>1641.85</td>
<td>1062.37</td>
<td>734</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.08</td>
<td>3863.18</td>
<td>3863.18</td>
<td>3283.7</td>
<td>2124.75</td>
<td>1468.01</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>16.16</td>
<td>7726.36</td>
<td>7726.36</td>
<td>6567.41</td>
<td>4249.5</td>
<td>2936.02</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>32.32</td>
<td>15452.72</td>
<td>15452.72</td>
<td>13134.81</td>
<td>8499</td>
<td>5872.03</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>36.36</td>
<td>17384.31</td>
<td>17384.31</td>
<td>14776.66</td>
<td>9561.37</td>
<td>6606.04</td>
</tr>
<tr>
<td>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>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>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>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>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>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>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>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.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>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>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>密集计算型 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>密集计算型 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>密集计算型 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>密集计算型 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>密集计算型 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>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>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>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>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>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>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>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>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.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>内存增强型 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>内存增强型 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>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>大数据存储密集型 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>大数据存储密集型 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>大数据存储密集型 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>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.763</td>
<td>2766</td>
<td>2627.7</td>
<td>2074.5</td>
<td>1244.7</td>
<td>829.8</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.526</td>
<td>5531.99</td>
<td>5255.39</td>
<td>4148.99</td>
<td>2489.4</td>
<td>1659.6</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>17.289</td>
<td>8297.91</td>
<td>7883.01</td>
<td>6223.43</td>
<td>3734.06</td>
<td>2489.37</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.16</td>
<td>10624</td>
<td>10092.8</td>
<td>7968</td>
<td>4780.8</td>
<td>3187.2</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>23.052</td>
<td>11063.97</td>
<td>10510.77</td>
<td>8297.98</td>
<td>4978.79</td>
<td>3319.19</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>33.63</td>
<td>16114</td>
<td>15308.3</td>
<td>12085.5</td>
<td>7251.3</td>
<td>4834.2</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>40.333</td>
<td>19362.02</td>
<td>18393.92</td>
<td>14521.51</td>
<td>8712.91</td>
<td>5808.61</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>4856.13</td>
<td>4856.13</td>
<td>4856.13</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>9712.26</td>
<td>9712.26</td>
<td>9712.26</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>19424.45</td>
<td>19424.46</td>
<td>19424.46</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>38848.91</td>
<td>38848.91</td>
<td>38848.91</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>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.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>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.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>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>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>内存增强型 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>内存增强型 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>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.64</td>
<td>2712</td>
<td>2576.4</td>
<td>2034</td>
<td>1220.4</td>
<td>813.6</td>
</tr>
<tr>
<td>大数据型 ecs.d1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.46</td>
<td>4068</td>
<td>3864.6</td>
<td>3051</td>
<td>1830.6</td>
<td>1220.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.29</td>
<td>5425</td>
<td>5153.75</td>
<td>4068.75</td>
<td>2441.25</td>
<td>1627.5</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>16.95</td>
<td>8138</td>
<td>7731.1</td>
<td>6103.5</td>
<td>3662.1</td>
<td>2441.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21.69</td>
<td>10417</td>
<td>9896.15</td>
<td>7812.75</td>
<td>4687.65</td>
<td>3125.1</td>
</tr>
<tr>
<td>大数据型 ecs.d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.6</td>
<td>10851</td>
<td>10308.45</td>
<td>8138.25</td>
<td>4882.95</td>
<td>3255.3</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>32.91</td>
<td>15799</td>
<td>15009.05</td>
<td>11849.25</td>
<td>7109.55</td>
<td>4739.7</td>
</tr>
<tr>
<td>大数据型 ecs.d1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>39.55</td>
<td>18990</td>
<td>18040.5</td>
<td>14242.5</td>
<td>8545.5</td>
<td>5697</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.87</td>
<td>902</td>
<td>856.9</td>
<td>676.5</td>
<td>405.9</td>
<td>270.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.76</td>
<td>1805</td>
<td>1714.75</td>
<td>1353.75</td>
<td>812.25</td>
<td>541.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.61</td>
<td>2707</td>
<td>2571.65</td>
<td>2030.25</td>
<td>1218.15</td>
<td>812.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.52</td>
<td>3611</td>
<td>3430.45</td>
<td>2708.25</td>
<td>1624.95</td>
<td>1083.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>9.22</td>
<td>4430</td>
<td>4208.5</td>
<td>3322.5</td>
<td>1993.5</td>
<td>1329</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.22</td>
<td>5412</td>
<td>5141.4</td>
<td>4059</td>
<td>2435.4</td>
<td>1623.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.03</td>
<td>7221</td>
<td>6859.95</td>
<td>5415.75</td>
<td>3249.45</td>
<td>2166.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>16.06</td>
<td>7712</td>
<td>7326.4</td>
<td>5784</td>
<td>3470.4</td>
<td>2313.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>26.17</td>
<td>12568</td>
<td>11939.6</td>
<td>9426</td>
<td>5655.6</td>
<td>3770.4</td>
</tr>
<tr>
<td>企业级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>企业级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>企业级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>企业级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>企业级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>企业级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>企业级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>企业级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>企业级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>企业级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>企业级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>企业级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>GPU虚拟化型 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虚拟化型 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虚拟化型 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虚拟化型 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虚拟化型 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虚拟化型 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.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-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>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-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>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>14187.97</td>
<td>14187.97</td>
<td>14187.97</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>56751.88</td>
<td>56751.88</td>
<td>56751.88</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>113503.76</td>
<td>113503.76</td>
<td>113503.76</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>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>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>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>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>通用型（平衡增强）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>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>通用网络增强型弹性裸金属服务器 ecs.ebmg5s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>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>计算网络增强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>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>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-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.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-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>共享基本型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.105</td>
<td>59.97</td>
<td>59.97</td>
<td>50.97</td>
<td>29.98</td>
<td>29.98</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.209</td>
<td>119.49</td>
<td>119.49</td>
<td>101.57</td>
<td>59.75</td>
<td>59.74</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.418</td>
<td>238.99</td>
<td>238.99</td>
<td>203.14</td>
<td>119.49</td>
<td>119.49</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.368</td>
<td>682.91</td>
<td>682.91</td>
<td>580.47</td>
<td>341.45</td>
<td>341.45</td>
</tr>
<tr>
<td>共享计算型 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>共享计算型 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>共享计算型 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>共享通用型 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>共享通用型 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>共享通用型 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>共享通用型 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>共享通用型 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>共享通用型 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>共享内存型 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>
</tbody>
</table>
<h2>五、阿里云服务器云盘及带宽价格费用（原价官方定价）</h2>
1、云盘价格表
磁盘价格表1：ESSD磁盘价格表
<table>
<thead>
<tr>
<th>类型</th>
<th>最大IOPS/最大吞吐量</th>
<th>容量范围</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>ESSD云盘PL0</td>
<td>1万 / 180MB</td>
<td>40 ~ 32768 GiB</td>
<td>0.0010 元/1GB/小时</td>
<td>0.50 元/1GB/月</td>
</tr>
<tr>
<td>ESSD云盘PL1</td>
<td>5万 / 350MB</td>
<td>20 ~ 32768 GiB</td>
<td>0.0021 元/1GB/小时</td>
<td>1.00 元/1GB/月</td>
</tr>
<tr>
<td>ESSD云盘PL2</td>
<td>10万 / 750MB</td>
<td>461 ~ 32768 GiB</td>
<td>0.0042 元/1GB/小时</td>
<td>2.00 元/1GB/月</td>
</tr>
<tr>
<td>ESSD云盘PL3</td>
<td>100万 / 4,000MB</td>
<td>1261 ~ 32768 GiB</td>
<td>0.0084 元/1GB/小时</td>
<td>4.00 元/1GB/月</td>
</tr>
</tbody>
</table>
2、磁盘价格表2：系统盘价格表
<table>
<thead>
<tr>
<th>类型</th>
<th>规格</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>普通云盘</td>
<td>40GB</td>
<td>0.0170 元/40GB/小时</td>
<td>12.00 元/40GB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>40GB</td>
<td>0.0200 元/40GB/小时</td>
<td>14.00 元/40GB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>40GB</td>
<td>0.0560 元/40GB/小时</td>
<td>40.00 元/40GB/月</td>
</tr>
<tr>
<td>普通云盘</td>
<td>1GB</td>
<td>0.0004 元/1GB/小时</td>
<td>0.30 元/1GB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1GB</td>
<td>0.0005 元/1GB/小时</td>
<td>0.35 元/1GB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1GB</td>
<td>0.0014 元/1GB/小时</td>
<td>1.00 元/1GB/月</td>
</tr>
</tbody>
</table>
3、磁盘价格表3：数据盘价格表
<table>
<thead>
<tr>
<th>类型</th>
<th>规格</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>普通云盘</td>
<td>1GB</td>
<td>0.0004 元/1GB/小时</td>
<td>0.30 元/1GB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1GB</td>
<td>0.0005 元/1GB/小时</td>
<td>0.35 元/1GB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1GB</td>
<td>0.0014 元/1GB/小时</td>
<td>1.00 元/1GB/月</td>
</tr>
</tbody>
</table>
4、宽带价格表
<table>
<thead>
<tr>
<th>计费方式</th>
<th>类型</th>
<th>价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>1Mbps</td>
<td>23.0 元/月</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>2Mbps</td>
<td>46.0 元/月</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>3Mbps</td>
<td>71.0 元/月</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>4Mbps</td>
<td>96.0 元/月</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>5Mbps</td>
<td>125.0 元/月</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>6Mbps及以上，每Mbps费用</td>
<td>80.0 元/月</td>
</tr>
<tr>
<td>按量，按固定带宽阶梯计费</td>
<td>1－5 Mbps</td>
<td>0.065 元/小时</td>
</tr>
<tr>
<td>按量，按固定带宽阶梯计费</td>
<td>6Mbps及以上，每Mbps费用</td>
<td>0.250 元/小时</td>
</tr>
<tr>
<td>按使用量线性计费</td>
<td>1GB</td>
<td>0.8 元/小时</td>
</tr>
</tbody>
</table> |
|
发表于 2024-10-5 22:54:14