阿里云服务器是什么,能做什么,最新购买租用费用价格是多少？
https://upload-images.jianshu.io/upload_images/19316870-3bf2acd204ed2caf.png<h2>阿里云服务器是什么？</h2>
阿里云服务器是什么？云服务器ECS（Elastic Compute Service）是阿里云提供的性能卓越、稳定可靠、弹性扩展的IaaS（Infrastructure as a Service）级别云计算服务。云服务器ECS免去了您采购IT硬件的前期准备，让您像使用水、电、天然气等公共资源一样便捷、高效地使用服务器，实现计算资源的即开即用和弹性伸缩。阿里云ECS持续提供创新型服务器，解决多种业务需求，助力您的业务发展。
相比物理服务器，阿里云服务器价格便宜，最低几十元就能买一台；而物理服务器最低也要上千元才能买到。云服务器本质上是云端服务器集群提供的一种计算能力。用户在需要这种算力时无需单独部署物理服务器，只需要在阿里云开通账户就可以获得这种算力。就好像家庭用电一样，用户无需购买发电机，变压器等专业设备，只需在电力局开户即可正常使用。跟多阿里云服务器相关介绍，可参考文章“阿里云服务器全方位介绍”
<h2>阿里云服务器能做什么?</h2>
阿里云服务器能做的事情实在太多，网上都有很多云服务器实践教程案例，新手可按照教程一步步来就OK，尤其是各大云平台官网帮助文档，案例非常多，资源丰富。参考资料：阿里云帮助中心
互联网上的几乎所有的应用均可部署在服务器上，通常对于个人和企业来说，阿里云服务器主要的应用有以下几种：
1、个人博客/企业官网：作为个人/企业对外展示的途径，官网曾经是个人及企业最早的应用之一，虽然如今是移动互联网时代，网站也是必需品，尤其对于企业来说，官网是品牌形象的象征。配置推荐：共享型n4实例，1核2G1M带宽配置，最新优惠价格：72.60元一年起，点此购买
2、小程序：小程序的厉害之处在于广大的用户群体，获客成本相对较低，并且用户具有较高的附加值，所以很多企业都搭建自己的小程序。配置推荐：计算型c5实例，2核4G 1-10M带宽配置，最新优惠价格：200元一年起，点此购买
3、商城官网：商城官网的搭建跟企业官网的搭建异曲同工，但相对来说更复杂，需要集成的应用更多，成本也更高。配置推荐：计算平衡增强型c6e实例，8核16G 1-10M带宽配置，最新优惠价格：2393.28/年起，点此购买
4、游戏服务：无论哪个时代，娱乐总是人们在努力寻找的东西，这个时代的娱乐来源游戏占据很大的部分，如果企业有技术，代理游戏也是非常不错的选择。配置推荐：通用型g6实例，8核32G 1-10M带宽配置，最新优惠价格：2153.52元一年起，点此购买
<h2>阿里云服务器产品优势</h2>
1、稳定
单实例可用性达 99.975?多可用区多实例可用性达 99.995?云盘可靠性达 99.9999999?可实现自动宕机迁移、快照备份。
2、弹性
支持分钟级别创建1000台实例，多种弹性付费选择更贴合业务现状，同时带来弹性的扩容能力，实例与带宽均可随时升降配，云盘可扩容。
3、高安全
免费提供 DDoS 防护、木马查杀、防暴力破解等服务，通过多方国际安全认证，ECS云盘支持数据加密功能。
4、高性能
单实例最高可选128vCPU，内存1TB，单实例性能最高可达2400万PPS网络首发包，80Gbps带宽。
5、易用性
丰富的操作系统和应用软件，通过镜像可一键简单部署，同一镜像可在多台 ECS 中快速复制环境，轻松扩展。
6、可拓展性
ECS 可与阿里云各种丰富的云产品无缝衔接，可持续为业务发展提供完整的计算、存储、安全等解决方案。
<h2>最新购买租用费用价格是多少？</h2>
下面整理了阿里云服务器最新的购买租用费用价格表，最便宜的只要72.60元/年。
一、阿里云服务器最新优惠活动价格表
1、秒杀活动价格
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>可选带宽</th>
<th>云盘</th>
<th>秒杀报价（1年）</th>
</tr>
</thead>
<tbody>
<tr>
<td>轻量应用服务器</td>
<td>2核2G</td>
<td>5M</td>
<td>60GB ESSD云盘</td>
<td>￥60.00/年起</td>
</tr>
<tr>
<td>ECS共享型n4</td>
<td>1核2G</td>
<td>1M</td>
<td>40-100G 高效云盘</td>
<td>￥72.60/年起</td>
</tr>
<tr>
<td>计算型c5</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G 高效云盘</td>
<td>￥200.00/年起</td>
</tr>
<tr>
<td>计算型c5</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥365.74/年起</td>
</tr>
</tbody>
</table>
2、更多活动价格
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>可选带宽</th>
<th>云盘</th>
<th>活动报价（1年）</th>
</tr>
</thead>
<tbody>
<tr>
<td>共享型 s6</td>
<td>1核2G</td>
<td>1-5M</td>
<td>40-100G 可选云盘</td>
<td>￥162.96/年起</td>
</tr>
<tr>
<td>共享型 s6</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥263.76/年起</td>
</tr>
<tr>
<td>共享型 s6</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥364.56/年起</td>
</tr>
<tr>
<td>共享型 s6</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥631.56/年起</td>
</tr>
<tr>
<td>共享型 s6</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥1737.12/年起</td>
</tr>
<tr>
<td>计算型 c5</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥711.00/年起</td>
</tr>
<tr>
<td>计算型 c5</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥1987.92/年起</td>
</tr>
<tr>
<td>计算型 c6a</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥618.74/年起</td>
</tr>
<tr>
<td>计算型 c6a</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥1108.73/年起</td>
</tr>
<tr>
<td>计算型 c6a</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥672.00/年起</td>
</tr>
<tr>
<td>计算型 c6a</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥1233.00/年起</td>
</tr>
<tr>
<td>计算型 c6a</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥2355.00/年起</td>
</tr>
<tr>
<td>通用型 g5</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥876.00/年起</td>
</tr>
<tr>
<td>通用型 g5</td>
<td>4核16G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥1641.00/年起</td>
</tr>
<tr>
<td>通用型 g5</td>
<td>8核32G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥3171.00/年起</td>
</tr>
<tr>
<td>通用型 g6</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥831.00/年起</td>
</tr>
<tr>
<td>通用型 g6</td>
<td>4核16G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥1551.00/年起</td>
</tr>
<tr>
<td>通用型 g6</td>
<td>8核32G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥2991.00/年起</td>
</tr>
<tr>
<td>计算平衡增强型 c6e</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G ESSD云盘</td>
<td>￥835.20/年起</td>
</tr>
<tr>
<td>计算平衡增强型 c6e</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G ESSD云盘</td>
<td>￥1520.76/年起</td>
</tr>
<tr>
<td>计算平衡增强型 c6e</td>
<td>8核16G</td>
<td>1-10M</td>
<td>40-100G ESSD云盘</td>
<td>￥2891.88/年起</td>
</tr>
<tr>
<td>通用平衡增强型 g6e</td>
<td>2核8G</td>
<td>1-10M</td>
<td>40-100G ESSD云盘</td>
<td>￥1068.36/年起</td>
</tr>
<tr>
<td>通用平衡增强型 g6e</td>
<td>4核16G</td>
<td>1-10M</td>
<td>40-100G ESSD云盘</td>
<td>￥1987.08/年起</td>
</tr>
<tr>
<td>通用平衡增强型 g6e</td>
<td>8核32G</td>
<td>1-10M</td>
<td>40-100G ESSD云盘</td>
<td>￥3824.52/年起</td>
</tr>
<tr>
<td>AMD 计算型 c7a</td>
<td>2核4G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥1874.76/年起</td>
</tr>
<tr>
<td>AMD 计算型 c7a</td>
<td>4核8G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥3310.92/年起</td>
</tr>
<tr>
<td>AMD 内存型 r7a</td>
<td>2核16G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥3357.84/年起</td>
</tr>
<tr>
<td>AMD 内存型 r7a</td>
<td>4核32G</td>
<td>1-10M</td>
<td>40-100G 可选云盘</td>
<td>￥6277.08/年起</td>
</tr>
</tbody>
</table>
购买或查看更多云服务器优惠价格，请访问阿里云官方云小站查询和购买。
二、阿里云服务器收费标准价格表(非活动价)
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPU</th>
<th>内存(GB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.35</td>
<td>168</td>
<td>168</td>
<td>142.8</td>
<td>92.4</td>
<td>63.84</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.7</td>
<td>336</td>
<td>336</td>
<td>285.6</td>
<td>184.8</td>
<td>127.68</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.4</td>
<td>672</td>
<td>672</td>
<td>571.2</td>
<td>369.6</td>
<td>255.36</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.1</td>
<td>1008</td>
<td>1008</td>
<td>856.8</td>
<td>554.4</td>
<td>383.04</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>2.8</td>
<td>1344</td>
<td>1344</td>
<td>1142.4</td>
<td>739.2</td>
<td>510.72</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>4.2</td>
<td>2016</td>
<td>2016</td>
<td>1713.6</td>
<td>1108.8</td>
<td>766.08</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>5.6</td>
<td>2688</td>
<td>2688</td>
<td>2284.8</td>
<td>1478.4</td>
<td>1021.44</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>9.1</td>
<td>4368</td>
<td>4368</td>
<td>3712.8</td>
<td>2402.4</td>
<td>1659.84</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>18.2</td>
<td>8736</td>
<td>8736</td>
<td>7425.6</td>
<td>4804.8</td>
<td>3319.68</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.041</td>
<td>11.8</td>
<td>11.8</td>
<td>10.03</td>
<td>6.49</td>
<td>4.48</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.082</td>
<td>23.6</td>
<td>23.6</td>
<td>20.06</td>
<td>12.98</td>
<td>8.97</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.164</td>
<td>47.2</td>
<td>47.2</td>
<td>40.12</td>
<td>25.96</td>
<td>17.94</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.328</td>
<td>94.4</td>
<td>94.4</td>
<td>80.24</td>
<td>51.92</td>
<td>35.87</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.656</td>
<td>188.8</td>
<td>188.8</td>
<td>160.48</td>
<td>103.84</td>
<td>71.74</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.311</td>
<td>377.6</td>
<td>377.6</td>
<td>320.96</td>
<td>207.68</td>
<td>143.49</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.1</td>
<td>29.7</td>
<td>29.7</td>
<td>25.25</td>
<td>16.33</td>
<td>11.29</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.19</td>
<td>54</td>
<td>54</td>
<td>45.9</td>
<td>29.7</td>
<td>20.52</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.small</td>
<td>1</td>
<td>4</td>
<td>0.28</td>
<td>81</td>
<td>81</td>
<td>68.85</td>
<td>44.55</td>
<td>30.78</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.38</td>
<td>108</td>
<td>108</td>
<td>91.8</td>
<td>59.4</td>
<td>41.04</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.56</td>
<td>162</td>
<td>162</td>
<td>137.7</td>
<td>89.1</td>
<td>61.56</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.75</td>
<td>216</td>
<td>216</td>
<td>183.6</td>
<td>118.8</td>
<td>82.08</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.13</td>
<td>324</td>
<td>324</td>
<td>275.4</td>
<td>178.2</td>
<td>123.12</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.5</td>
<td>432</td>
<td>432</td>
<td>367.2</td>
<td>237.6</td>
<td>164.16</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.25</td>
<td>648</td>
<td>648</td>
<td>550.8</td>
<td>356.4</td>
<td>246.24</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.55</td>
<td>264</td>
<td>264</td>
<td>224.4</td>
<td>145.2</td>
<td>100.32</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.1</td>
<td>528</td>
<td>528</td>
<td>448.8</td>
<td>290.4</td>
<td>200.64</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.2</td>
<td>1056</td>
<td>1056</td>
<td>897.6</td>
<td>580.8</td>
<td>401.28</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.4</td>
<td>2112</td>
<td>2112</td>
<td>1795.2</td>
<td>1161.6</td>
<td>802.56</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.8</td>
<td>4224</td>
<td>4224</td>
<td>3590.4</td>
<td>2323.2</td>
<td>1605.12</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>14.3</td>
<td>6864</td>
<td>6864</td>
<td>5834.4</td>
<td>3775.2</td>
<td>2608.32</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.27</td>
<td>131</td>
<td>131</td>
<td>111.35</td>
<td>72.05</td>
<td>49.78</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.55</td>
<td>262</td>
<td>262</td>
<td>222.7</td>
<td>144.1</td>
<td>99.56</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.09</td>
<td>524</td>
<td>524</td>
<td>445.4</td>
<td>288.2</td>
<td>199.12</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>1.64</td>
<td>786</td>
<td>786</td>
<td>668.1</td>
<td>432.3</td>
<td>298.68</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.18</td>
<td>1048</td>
<td>1048</td>
<td>890.8</td>
<td>576.4</td>
<td>398.24</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>3.28</td>
<td>1572</td>
<td>1572</td>
<td>1336.2</td>
<td>864.6</td>
<td>597.36</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.37</td>
<td>2096</td>
<td>2096</td>
<td>1781.6</td>
<td>1152.8</td>
<td>796.48</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>7.1</td>
<td>3406</td>
<td>3406</td>
<td>2895.1</td>
<td>1873.3</td>
<td>1294.28</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>14.19</td>
<td>6812</td>
<td>6812</td>
<td>5790.2</td>
<td>3746.6</td>
<td>2588.56</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.41</td>
<td>197</td>
<td>197</td>
<td>167.45</td>
<td>108.35</td>
<td>74.86</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.821</td>
<td>394</td>
<td>394</td>
<td>334.9</td>
<td>216.7</td>
<td>149.72</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.642</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.283</td>
<td>1576</td>
<td>1576</td>
<td>1339.6</td>
<td>866.8</td>
<td>598.88</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.567</td>
<td>3152</td>
<td>3152</td>
<td>2679.2</td>
<td>1733.6</td>
<td>1197.76</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.671</td>
<td>5122</td>
<td>5122</td>
<td>4353.7</td>
<td>2817.1</td>
<td>1946.36</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>21.342</td>
<td>10244</td>
<td>10244</td>
<td>8707.4</td>
<td>5634.2</td>
<td>3892.72</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.46</td>
<td>220</td>
<td>220</td>
<td>187</td>
<td>121</td>
<td>83.6</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>0.92</td>
<td>440</td>
<td>440</td>
<td>374</td>
<td>242</td>
<td>167.2</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>1.83</td>
<td>880</td>
<td>880</td>
<td>748</td>
<td>484</td>
<td>334.4</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>2.75</td>
<td>1320</td>
<td>1320</td>
<td>1122</td>
<td>726</td>
<td>501.6</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>3.67</td>
<td>1760</td>
<td>1760</td>
<td>1496</td>
<td>968</td>
<td>668.8</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>5.5</td>
<td>2640</td>
<td>2640</td>
<td>2244</td>
<td>1452</td>
<td>1003.2</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>7.33</td>
<td>3520</td>
<td>3520</td>
<td>2992</td>
<td>1936</td>
<td>1337.6</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>11.92</td>
<td>5720</td>
<td>5720</td>
<td>4862</td>
<td>3146</td>
<td>2173.6</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>23.83</td>
<td>11440</td>
<td>11440</td>
<td>9724</td>
<td>6292</td>
<td>4347.2</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>0.729</td>
<td>350</td>
<td>350</td>
<td>297.5</td>
<td>192.5</td>
<td>133</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.458</td>
<td>700</td>
<td>700</td>
<td>595</td>
<td>385</td>
<td>266</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.917</td>
<td>1400</td>
<td>1400</td>
<td>1190</td>
<td>770</td>
<td>532</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.833</td>
<td>2800</td>
<td>2800</td>
<td>2380</td>
<td>1540</td>
<td>1064</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.667</td>
<td>5600</td>
<td>5600</td>
<td>4760</td>
<td>3080</td>
<td>2128</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>18.958</td>
<td>9100</td>
<td>9100</td>
<td>7735</td>
<td>5005</td>
<td>3458</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.13xlarge</td>
<td>52</td>
<td>768</td>
<td>23.108</td>
<td>11091.6</td>
<td>11091.6</td>
<td>9427.86</td>
<td>6100.38</td>
<td>4214.81</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.26xlarge</td>
<td>104</td>
<td>1536</td>
<td>46.215</td>
<td>22183.2</td>
<td>22183.2</td>
<td>18855.72</td>
<td>12200.76</td>
<td>8429.62</td>
</tr>
<tr>
<td>内存增强型 ecs.re6.52xlarge</td>
<td>208</td>
<td>3072</td>
<td>92.43</td>
<td>44366.4</td>
<td>44366.4</td>
<td>37711.44</td>
<td>24401.52</td>
<td>16859.23</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.314</td>
<td>151</td>
<td>151</td>
<td>128.35</td>
<td>83.05</td>
<td>57.38</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.629</td>
<td>302</td>
<td>302</td>
<td>256.7</td>
<td>166.1</td>
<td>114.76</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.258</td>
<td>604</td>
<td>604</td>
<td>513.4</td>
<td>332.2</td>
<td>229.52</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>1.887</td>
<td>906</td>
<td>906</td>
<td>770.1</td>
<td>498.3</td>
<td>344.28</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.516</td>
<td>1208</td>
<td>1208</td>
<td>1026.8</td>
<td>664.4</td>
<td>459.04</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.033</td>
<td>2416</td>
<td>2416</td>
<td>2053.6</td>
<td>1328.8</td>
<td>918.08</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>6.291</td>
<td>3020</td>
<td>3020</td>
<td>2567</td>
<td>1661</td>
<td>1147.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>10.066</td>
<td>4832</td>
<td>4832</td>
<td>4107.2</td>
<td>2657.6</td>
<td>1836.16</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>12.583</td>
<td>6040</td>
<td>6040</td>
<td>5134</td>
<td>3322</td>
<td>2295.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.385</td>
<td>185</td>
<td>185</td>
<td>157.25</td>
<td>101.75</td>
<td>70.3</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.771</td>
<td>370</td>
<td>370</td>
<td>314.5</td>
<td>203.5</td>
<td>140.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.541</td>
<td>740</td>
<td>740</td>
<td>629</td>
<td>407</td>
<td>281.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.312</td>
<td>1110</td>
<td>1110</td>
<td>943.5</td>
<td>610.5</td>
<td>421.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.083</td>
<td>1480</td>
<td>1480</td>
<td>1258</td>
<td>814</td>
<td>562.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>4.625</td>
<td>2220</td>
<td>2220</td>
<td>1887</td>
<td>1221</td>
<td>843.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>6.166</td>
<td>2960</td>
<td>2960</td>
<td>2516</td>
<td>1628</td>
<td>1124.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>7.708</td>
<td>3700</td>
<td>3700</td>
<td>3145</td>
<td>2035</td>
<td>1406</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>12.333</td>
<td>5920</td>
<td>5920</td>
<td>5032</td>
<td>3256</td>
<td>2249.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>15.416</td>
<td>7400</td>
<td>7400</td>
<td>6290</td>
<td>4070</td>
<td>2812</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>0.504</td>
<td>242</td>
<td>242</td>
<td>205.7</td>
<td>133.1</td>
<td>91.96</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.008</td>
<td>484</td>
<td>484</td>
<td>411.4</td>
<td>266.2</td>
<td>183.92</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.016</td>
<td>968</td>
<td>968</td>
<td>822.8</td>
<td>532.4</td>
<td>367.84</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.025</td>
<td>1452</td>
<td>1452</td>
<td>1234.2</td>
<td>798.6</td>
<td>551.76</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.033</td>
<td>1936</td>
<td>1936</td>
<td>1645.6</td>
<td>1064.8</td>
<td>735.68</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>6.05</td>
<td>2904</td>
<td>2904</td>
<td>2468.4</td>
<td>1597.2</td>
<td>1103.52</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>8.066</td>
<td>3872</td>
<td>3872</td>
<td>3291.2</td>
<td>2129.6</td>
<td>1471.36</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>10.083</td>
<td>4840</td>
<td>4840</td>
<td>4114</td>
<td>2662</td>
<td>1839.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>16.133</td>
<td>7744</td>
<td>7744</td>
<td>6582.4</td>
<td>4259.2</td>
<td>2942.72</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>20.166</td>
<td>9680</td>
<td>9680</td>
<td>8228</td>
<td>5324</td>
<td>3678.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>17.766</td>
<td>8528</td>
<td>5287.36</td>
<td>4434.56</td>
<td>3667.04</td>
<td>3667.04</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>71.062</td>
<td>34110</td>
<td>21148.2</td>
<td>17737.2</td>
<td>14667.3</td>
<td>14667.3</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>142.126</td>
<td>68220</td>
<td>42296.4</td>
<td>35474.4</td>
<td>29334.6</td>
<td>29334.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>19.84</td>
<td>5715</td>
<td>4229.1</td>
<td>3543.3</td>
<td>2971.8</td>
<td>2971.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>79.36</td>
<td>22860</td>
<td>16916.4</td>
<td>14173.2</td>
<td>11887.2</td>
<td>11887.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>158.72</td>
<td>45720</td>
<td>33832.8</td>
<td>28346.4</td>
<td>23774.4</td>
<td>23774.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c10g1.20xlarge</td>
<td>82</td>
<td>336</td>
<td>197.67</td>
<td>56929.5</td>
<td>42127.83</td>
<td>35296.29</td>
<td>29603.34</td>
<td>29603.34</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>10.46</td>
<td>3013</td>
<td>3013</td>
<td>2561.05</td>
<td>1657.15</td>
<td>1144.94</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>12.6</td>
<td>3629</td>
<td>3629</td>
<td>3084.65</td>
<td>1995.95</td>
<td>1379.02</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>14.77</td>
<td>4253</td>
<td>4253</td>
<td>3615.05</td>
<td>2339.15</td>
<td>1616.14</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>15.47</td>
<td>4455</td>
<td>4455</td>
<td>3786.75</td>
<td>2450.25</td>
<td>1692.9</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>30.94</td>
<td>8910</td>
<td>8910</td>
<td>7573.5</td>
<td>4900.5</td>
<td>3385.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>61.88</td>
<td>17820</td>
<td>17820</td>
<td>15147</td>
<td>9801</td>
<td>6771.6</td>
</tr>
<tr>
<td>轻量级GPU计算型 ecs.vgn6i-m8.2xlarge</td>
<td>10</td>
<td>46</td>
<td>4.548</td>
<td>2183</td>
<td>2183</td>
<td>2183</td>
<td>2183</td>
<td>2183</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.66</td>
<td>191</td>
<td>191</td>
<td>162.35</td>
<td>105.05</td>
<td>72.58</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.33</td>
<td>383</td>
<td>383</td>
<td>325.55</td>
<td>210.65</td>
<td>145.54</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.66</td>
<td>765</td>
<td>765</td>
<td>650.25</td>
<td>420.75</td>
<td>290.7</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.99</td>
<td>1148</td>
<td>1148</td>
<td>975.8</td>
<td>631.4</td>
<td>436.24</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.31</td>
<td>1530</td>
<td>1530</td>
<td>1300.5</td>
<td>841.5</td>
<td>581.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.97</td>
<td>2295</td>
<td>2295</td>
<td>1950.75</td>
<td>1262.25</td>
<td>872.1</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.63</td>
<td>3060</td>
<td>3060</td>
<td>2601</td>
<td>1683</td>
<td>1162.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>21.25</td>
<td>6120</td>
<td>6120</td>
<td>5202</td>
<td>3366</td>
<td>2325.6</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.649</td>
<td>233.75</td>
<td>233.75</td>
<td>198.69</td>
<td>128.56</td>
<td>88.83</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.299</td>
<td>467.5</td>
<td>467.5</td>
<td>397.38</td>
<td>257.13</td>
<td>177.65</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.25</td>
<td>935</td>
<td>935</td>
<td>794.75</td>
<td>514.25</td>
<td>355.3</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.5</td>
<td>1870</td>
<td>1870</td>
<td>1589.5</td>
<td>1028.5</td>
<td>710.6</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13</td>
<td>3740</td>
<td>3740</td>
<td>3179</td>
<td>2057</td>
<td>1421.2</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>26</td>
<td>7480</td>
<td>7480</td>
<td>6358</td>
<td>4114</td>
<td>2842.4</td>
</tr>
<tr>
<td>网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>29.25</td>
<td>8415</td>
<td>8415</td>
<td>7152.75</td>
<td>4628.25</td>
<td>3197.7</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.44</td>
<td>128</td>
<td>128</td>
<td>108.8</td>
<td>70.4</td>
<td>48.64</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.89</td>
<td>255</td>
<td>255</td>
<td>216.75</td>
<td>140.25</td>
<td>96.9</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.77</td>
<td>510</td>
<td>510</td>
<td>433.5</td>
<td>280.5</td>
<td>193.8</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>2.66</td>
<td>765</td>
<td>765</td>
<td>650.25</td>
<td>420.75</td>
<td>290.7</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.47</td>
<td>134</td>
<td>134</td>
<td>113.9</td>
<td>73.7</td>
<td>50.92</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.93</td>
<td>269</td>
<td>269</td>
<td>228.65</td>
<td>147.95</td>
<td>102.22</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.86</td>
<td>537</td>
<td>537</td>
<td>456.45</td>
<td>295.35</td>
<td>204.06</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.8</td>
<td>806</td>
<td>806</td>
<td>685.1</td>
<td>443.3</td>
<td>306.28</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.73</td>
<td>1074</td>
<td>1074</td>
<td>912.9</td>
<td>590.7</td>
<td>408.12</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.59</td>
<td>1611</td>
<td>1611</td>
<td>1369.35</td>
<td>886.05</td>
<td>612.18</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.46</td>
<td>2148</td>
<td>2148</td>
<td>1825.8</td>
<td>1181.4</td>
<td>816.24</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>14.92</td>
<td>4296</td>
<td>4296</td>
<td>3651.6</td>
<td>2362.8</td>
<td>1632.48</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>0.85</td>
<td>245</td>
<td>245</td>
<td>208.25</td>
<td>134.75</td>
<td>93.1</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.7</td>
<td>489</td>
<td>489</td>
<td>415.65</td>
<td>268.95</td>
<td>185.82</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.4</td>
<td>978</td>
<td>978</td>
<td>831.3</td>
<td>537.9</td>
<td>371.64</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.09</td>
<td>1467</td>
<td>1467</td>
<td>1246.95</td>
<td>806.85</td>
<td>557.46</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.79</td>
<td>1956</td>
<td>1956</td>
<td>1662.6</td>
<td>1075.8</td>
<td>743.28</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.19</td>
<td>2934</td>
<td>2934</td>
<td>2493.9</td>
<td>1613.7</td>
<td>1114.92</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.58</td>
<td>3912</td>
<td>3912</td>
<td>3325.2</td>
<td>2151.6</td>
<td>1486.56</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>27.17</td>
<td>7824</td>
<td>7824</td>
<td>6650.4</td>
<td>4303.2</td>
<td>2973.12</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>13.258</td>
<td>3817.8</td>
<td>3817.8</td>
<td>3245.13</td>
<td>2099.79</td>
<td>1450.76</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>26.515</td>
<td>7635.6</td>
<td>7635.6</td>
<td>6490.26</td>
<td>4199.58</td>
<td>2901.53</td>
</tr>
<tr>
<td>大数据存储密集型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>53.03</td>
<td>15271.2</td>
<td>15271.2</td>
<td>12980.52</td>
<td>8399.16</td>
<td>5803.06</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.01</td>
<td>1444</td>
<td>1371.8</td>
<td>1083</td>
<td>649.8</td>
<td>433.2</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.03</td>
<td>2888</td>
<td>2743.6</td>
<td>2166</td>
<td>1299.6</td>
<td>866.4</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>15.04</td>
<td>4331</td>
<td>4114.45</td>
<td>3248.25</td>
<td>1948.95</td>
<td>1299.3</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>19.25</td>
<td>5543</td>
<td>5265.85</td>
<td>4157.25</td>
<td>2494.35</td>
<td>1662.9</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.05</td>
<td>5775</td>
<td>5486.25</td>
<td>4331.25</td>
<td>2598.75</td>
<td>1732.5</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>29.19</td>
<td>8407</td>
<td>7986.65</td>
<td>6305.25</td>
<td>3783.15</td>
<td>2522.1</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>35.09</td>
<td>10106</td>
<td>9600.7</td>
<td>7579.5</td>
<td>4547.7</td>
<td>3031.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.33</td>
<td>640</td>
<td>640</td>
<td>544</td>
<td>352</td>
<td>243.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.67</td>
<td>1280</td>
<td>1280</td>
<td>1088</td>
<td>704</td>
<td>486.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.33</td>
<td>2560</td>
<td>2560</td>
<td>2176</td>
<td>1408</td>
<td>972.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.67</td>
<td>5120</td>
<td>5120</td>
<td>4352</td>
<td>2816</td>
<td>1945.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>21.33</td>
<td>10240</td>
<td>10240</td>
<td>8704</td>
<td>5632</td>
<td>3891.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.305</td>
<td>1106</td>
<td>1106</td>
<td>940.1</td>
<td>608.3</td>
<td>420.28</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.61</td>
<td>2213</td>
<td>2213</td>
<td>1881.05</td>
<td>1217.15</td>
<td>840.94</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.219</td>
<td>4425</td>
<td>4425</td>
<td>3761.25</td>
<td>2433.75</td>
<td>1681.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>18.44</td>
<td>8850</td>
<td>8850</td>
<td>7522.5</td>
<td>4867.5</td>
<td>3363</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.481</td>
<td>711.9</td>
<td>711.9</td>
<td>605.12</td>
<td>391.55</td>
<td>270.52</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.962</td>
<td>1423.8</td>
<td>1423.8</td>
<td>1210.23</td>
<td>783.09</td>
<td>541.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.924</td>
<td>2847.6</td>
<td>2847.6</td>
<td>2420.46</td>
<td>1566.18</td>
<td>1082.09</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.848</td>
<td>5695.2</td>
<td>5695.2</td>
<td>4840.92</td>
<td>3132.36</td>
<td>2164.18</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>23.696</td>
<td>11390.4</td>
<td>11390.4</td>
<td>9681.84</td>
<td>6264.72</td>
<td>4328.35</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.962</td>
<td>1423.8</td>
<td>1423.8</td>
<td>1210.23</td>
<td>783.09</td>
<td>541.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.924</td>
<td>2847.6</td>
<td>2847.6</td>
<td>2420.46</td>
<td>1566.18</td>
<td>1082.09</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.848</td>
<td>5695.2</td>
<td>5695.2</td>
<td>4840.92</td>
<td>3132.36</td>
<td>2164.18</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>23.696</td>
<td>11390.4</td>
<td>11390.4</td>
<td>9681.84</td>
<td>6264.72</td>
<td>4328.35</td>
</tr>
<tr>
<td>内存增强型 ecs.re4.20xlarge</td>
<td>80</td>
<td>960</td>
<td>51.56</td>
<td>14850</td>
<td>14850</td>
<td>12622.5</td>
<td>7425</td>
<td>7425</td>
</tr>
<tr>
<td>内存增强型 ecs.re4.40xlarge</td>
<td>160</td>
<td>1920</td>
<td>103.13</td>
<td>29700</td>
<td>29700</td>
<td>25245</td>
<td>14850</td>
<td>14850</td>
</tr>
<tr>
<td>内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.14</td>
<td>329.4</td>
<td>329.4</td>
<td>279.99</td>
<td>164.7</td>
<td>164.7</td>
</tr>
<tr>
<td>内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.29</td>
<td>658.8</td>
<td>658.8</td>
<td>559.98</td>
<td>329.4</td>
<td>329.4</td>
</tr>
<tr>
<td>内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.58</td>
<td>1317.6</td>
<td>1317.6</td>
<td>1119.96</td>
<td>658.8</td>
<td>658.8</td>
</tr>
<tr>
<td>内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.15</td>
<td>2635.2</td>
<td>2635.2</td>
<td>2239.92</td>
<td>1317.6</td>
<td>1317.6</td>
</tr>
<tr>
<td>内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.3</td>
<td>5270.4</td>
<td>5270.4</td>
<td>4479.84</td>
<td>2635.2</td>
<td>2635.2</td>
</tr>
<tr>
<td>内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>32.03</td>
<td>9223.2</td>
<td>9223.2</td>
<td>7839.72</td>
<td>4611.6</td>
<td>4611.6</td>
</tr>
<tr>
<td>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.73</td>
<td>1649.7</td>
<td>1567.21</td>
<td>1237.27</td>
<td>742.37</td>
<td>494.91</td>
</tr>
<tr>
<td>大数据型 ecs.d1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.547</td>
<td>2749.5</td>
<td>2612.02</td>
<td>2062.13</td>
<td>1237.28</td>
<td>824.85</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.46</td>
<td>3299.4</td>
<td>3134.43</td>
<td>2474.55</td>
<td>1484.73</td>
<td>989.82</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>17.18</td>
<td>4949.1</td>
<td>4701.64</td>
<td>3711.83</td>
<td>2227.09</td>
<td>1484.73</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22</td>
<td>6335.1</td>
<td>6018.34</td>
<td>4751.32</td>
<td>2850.8</td>
<td>1900.53</td>
</tr>
<tr>
<td>大数据型 ecs.d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.91</td>
<td>6598.8</td>
<td>6268.86</td>
<td>4949.1</td>
<td>2969.46</td>
<td>1979.64</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>30.58</td>
<td>8808</td>
<td>8367.6</td>
<td>6606</td>
<td>3963.6</td>
<td>2642.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>40.1</td>
<td>11547.9</td>
<td>10970.5</td>
<td>8660.93</td>
<td>5196.56</td>
<td>3464.37</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.03</td>
<td>584.1</td>
<td>554.89</td>
<td>438.07</td>
<td>262.85</td>
<td>175.23</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.06</td>
<td>1168.2</td>
<td>1109.79</td>
<td>876.15</td>
<td>525.69</td>
<td>350.46</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>6.76</td>
<td>1947</td>
<td>1849.65</td>
<td>1460.25</td>
<td>876.15</td>
<td>584.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.11</td>
<td>2336.4</td>
<td>2219.58</td>
<td>1752.3</td>
<td>1051.38</td>
<td>700.92</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.52</td>
<td>3028.9</td>
<td>2877.45</td>
<td>2271.67</td>
<td>1363</td>
<td>908.67</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>13.521</td>
<td>3894</td>
<td>3699.3</td>
<td>2920.5</td>
<td>1752.3</td>
<td>1168.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>16.23</td>
<td>4672.8</td>
<td>4439.16</td>
<td>3504.6</td>
<td>2102.76</td>
<td>1401.84</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>17.67</td>
<td>5088.1</td>
<td>4833.69</td>
<td>3816.07</td>
<td>2289.64</td>
<td>1526.43</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>28.39</td>
<td>8177.4</td>
<td>7768.53</td>
<td>6133.05</td>
<td>3679.83</td>
<td>2453.22</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.65</td>
<td>188</td>
<td>188</td>
<td>156.04</td>
<td>94</td>
<td>62.04</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.31</td>
<td>377</td>
<td>377</td>
<td>312.91</td>
<td>188.5</td>
<td>124.41</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.61</td>
<td>753</td>
<td>753</td>
<td>624.99</td>
<td>376.5</td>
<td>248.49</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.92</td>
<td>1130</td>
<td>1130</td>
<td>937.9</td>
<td>565</td>
<td>372.9</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.23</td>
<td>1506</td>
<td>1506</td>
<td>1249.98</td>
<td>753</td>
<td>496.98</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.84</td>
<td>2259</td>
<td>2259</td>
<td>1874.97</td>
<td>1129.5</td>
<td>745.47</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.46</td>
<td>3012</td>
<td>3012</td>
<td>2499.96</td>
<td>1506</td>
<td>993.96</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>0.86</td>
<td>249</td>
<td>249</td>
<td>201.69</td>
<td>122.01</td>
<td>79.68</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.73</td>
<td>498</td>
<td>498</td>
<td>403.38</td>
<td>244.02</td>
<td>159.36</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.46</td>
<td>996</td>
<td>996</td>
<td>806.76</td>
<td>488.04</td>
<td>318.72</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.19</td>
<td>1494</td>
<td>1494</td>
<td>1210.14</td>
<td>732.06</td>
<td>478.08</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.92</td>
<td>1992</td>
<td>1992</td>
<td>1613.52</td>
<td>976.08</td>
<td>637.44</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.38</td>
<td>2988</td>
<td>2988</td>
<td>2420.28</td>
<td>1464.12</td>
<td>956.16</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.83</td>
<td>3984</td>
<td>3984</td>
<td>3227.04</td>
<td>1952.16</td>
<td>1274.88</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>22.94</td>
<td>6606</td>
<td>6606</td>
<td>5350.86</td>
<td>3236.94</td>
<td>2113.92</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>11.5</td>
<td>3312.9</td>
<td>3312.9</td>
<td>2815.97</td>
<td>1722.71</td>
<td>1159.51</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>13.85</td>
<td>3989.7</td>
<td>3989.7</td>
<td>3391.25</td>
<td>2074.64</td>
<td>1396.39</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>27.71</td>
<td>7979.4</td>
<td>7979.4</td>
<td>6782.49</td>
<td>4149.29</td>
<td>2792.79</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.8xlarge</td>
<td>32</td>
<td>240</td>
<td>55.41</td>
<td>15957.9</td>
<td>15957.9</td>
<td>13564.21</td>
<td>8298.11</td>
<td>5585.27</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.14xlarge</td>
<td>54</td>
<td>480</td>
<td>110.82</td>
<td>31915.8</td>
<td>31915.8</td>
<td>27128.43</td>
<td>16596.22</td>
<td>11170.53</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c2g1.large</td>
<td>2</td>
<td>8</td>
<td>6.51</td>
<td>1875</td>
<td>1781.25</td>
<td>1406.25</td>
<td>843.75</td>
<td>562.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c4g1.xlarge</td>
<td>4</td>
<td>16</td>
<td>7.27</td>
<td>2093</td>
<td>1988.35</td>
<td>1569.75</td>
<td>941.85</td>
<td>627.9</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>8.75</td>
<td>2520</td>
<td>2394</td>
<td>1890</td>
<td>1134</td>
<td>756</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c16g1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.72</td>
<td>3375</td>
<td>3206.25</td>
<td>2531.25</td>
<td>1518.75</td>
<td>1012.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>32.29</td>
<td>9300</td>
<td>8835</td>
<td>6975</td>
<td>4185</td>
<td>2790</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.5</td>
<td>5040</td>
<td>5040</td>
<td>4284</td>
<td>2772</td>
<td>5040</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21</td>
<td>10080</td>
<td>10080</td>
<td>8568</td>
<td>5544</td>
<td>10080</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c16f1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>42</td>
<td>20160</td>
<td>20160</td>
<td>17136</td>
<td>11088</td>
<td>20160</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn6e.24xlarge</td>
<td>96</td>
<td>768</td>
<td>142.131</td>
<td>68220</td>
<td>42296.4</td>
<td>35474.4</td>
<td>29334.6</td>
<td>29334.6</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn6v.24xlarge</td>
<td>96</td>
<td>384</td>
<td>177.844</td>
<td>51219</td>
<td>37902.06</td>
<td>31755.78</td>
<td>26633.88</td>
<td>26633.88</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>61.88</td>
<td>17820</td>
<td>17820</td>
<td>15147</td>
<td>9801</td>
<td>6771.6</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>14.19</td>
<td>6812</td>
<td>6812</td>
<td>5790.2</td>
<td>3746.6</td>
<td>2588.56</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>18.2</td>
<td>8736</td>
<td>8736</td>
<td>7425.6</td>
<td>4804.8</td>
<td>3319.68</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>23.83</td>
<td>11440</td>
<td>11440</td>
<td>9724</td>
<td>6292</td>
<td>4347.2</td>
</tr>
<tr>
<td>高主频通用型弹性裸金属服务器 ecs.ebmhfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>15.417</td>
<td>7400</td>
<td>7400</td>
<td>6290</td>
<td>4070</td>
<td>2812</td>
</tr>
<tr>
<td>高主频内存型弹性裸金属服务器 ecs.ebmhfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>20.167</td>
<td>9680</td>
<td>9680</td>
<td>8228</td>
<td>5324</td>
<td>3678.4</td>
</tr>
<tr>
<td>高主频型超级计算集群 ecs.scch5.16xlarge</td>
<td>64</td>
<td>192</td>
<td>31.77</td>
<td>9150</td>
<td>8692.5</td>
<td>6862.5</td>
<td>4117.5</td>
<td>2745</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>31.88</td>
<td>9180</td>
<td>8721</td>
<td>6885</td>
<td>4131</td>
<td>2754</td>
</tr>
<tr>
<td>通用网络增强型弹性裸金属服务器 ecs.ebmr5s.24xlarge</td>
<td>96</td>
<td>768</td>
<td>40.75</td>
<td>11736</td>
<td>11736</td>
<td>9975.6</td>
<td>6454.8</td>
<td>4459.68</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>14</td>
<td>13.3</td>
<td>10.5</td>
<td>6.3</td>
<td>4.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.06</td>
<td>18</td>
<td>17.1</td>
<td>13.5</td>
<td>8.1</td>
<td>5.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.13</td>
<td>36</td>
<td>34.2</td>
<td>27</td>
<td>16.2</td>
<td>10.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.25</td>
<td>72</td>
<td>68.4</td>
<td>54</td>
<td>32.4</td>
<td>21.6</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>119</td>
<td>113.05</td>
<td>89.25</td>
<td>53.55</td>
<td>35.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.22</td>
<td>62</td>
<td>58.9</td>
<td>46.5</td>
<td>27.9</td>
<td>18.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.3</td>
<td>87</td>
<td>82.65</td>
<td>65.25</td>
<td>39.15</td>
<td>26.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.47</td>
<td>135</td>
<td>128.25</td>
<td>101.25</td>
<td>60.75</td>
<td>40.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.43</td>
<td>125</td>
<td>118.75</td>
<td>93.75</td>
<td>56.25</td>
<td>37.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.6</td>
<td>173</td>
<td>164.35</td>
<td>129.75</td>
<td>77.85</td>
<td>51.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.94</td>
<td>270</td>
<td>256.5</td>
<td>202.5</td>
<td>121.5</td>
<td>81</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>0.87</td>
<td>250</td>
<td>237.5</td>
<td>187.5</td>
<td>112.5</td>
<td>75</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.2</td>
<td>347</td>
<td>329.65</td>
<td>260.25</td>
<td>156.15</td>
<td>104.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.88</td>
<td>540</td>
<td>513</td>
<td>405</td>
<td>243</td>
<td>162</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>1.74</td>
<td>500</td>
<td>475</td>
<td>375</td>
<td>225</td>
<td>150</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.41</td>
<td>693</td>
<td>658.35</td>
<td>519.75</td>
<td>311.85</td>
<td>207.9</td>
</tr>
<tr>
<td>共享基本型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.13</td>
<td>36</td>
<td>36</td>
<td>30.6</td>
<td>18</td>
<td>18</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.23</td>
<td>67</td>
<td>67</td>
<td>56.95</td>
<td>33.5</td>
<td>33.5</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.57</td>
<td>163</td>
<td>163</td>
<td>138.55</td>
<td>81.5</td>
<td>81.5</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.13</td>
<td>326</td>
<td>326</td>
<td>277.1</td>
<td>163</td>
<td>163</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.27</td>
<td>653</td>
<td>653</td>
<td>555.05</td>
<td>326.5</td>
<td>326.5</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.53</td>
<td>1306</td>
<td>1306</td>
<td>1110.1</td>
<td>653</td>
<td>653</td>
</tr>
<tr>
<td>共享计算型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.07</td>
<td>2611</td>
<td>2611</td>
<td>2219.35</td>
<td>1305.5</td>
<td>1305.5</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.43</td>
<td>124</td>
<td>124</td>
<td>105.4</td>
<td>62</td>
<td>62</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>0.86</td>
<td>248</td>
<td>248</td>
<td>210.8</td>
<td>124</td>
<td>124</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.72</td>
<td>496</td>
<td>496</td>
<td>421.6</td>
<td>248</td>
<td>248</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.44</td>
<td>992</td>
<td>992</td>
<td>843.2</td>
<td>496</td>
<td>496</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.89</td>
<td>1984</td>
<td>1984</td>
<td>1686.4</td>
<td>992</td>
<td>992</td>
</tr>
<tr>
<td>共享通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.78</td>
<td>3968</td>
<td>3968</td>
<td>3372.8</td>
<td>1984</td>
<td>1984</td>
</tr>
<tr>
<td>共享内存型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.72</td>
<td>208</td>
<td>208</td>
<td>176.8</td>
<td>104</td>
<td>104</td>
</tr>
</tbody>
</table>
<h2>阿里云服务器常见问题FAQ</h2>
1、阿里云服务器最低多少钱？ 阿里云服务器多少钱？阿里云服务器用多少钱的最好？
阿里云多少钱需要根据用户实际购买的阿里云产品和配置型号来定价，阿里云最低多少，阿里云最低多少 阿里云最便宜 最便宜的阿里云，以阿里云ECS云服务器为例，目前最低的1核2G 共享型n4实例最低价格可以通过新人特惠活动购买，目前最低价格仅需72.60元一年。
2、阿里云服务器如何使用？
对于阿里云怎么用，如何用阿里云的产品，建议用户购买阿里云产品之后，如果有不懂的有三种方式可以有效解决我们在阿里云产品使用中的疑惑：
[*]可以提交工单咨询阿里云技术人员，让技术人员提供相关产品的使用介绍。
[*]可以登陆阿里云市场寻求第三方合作公司帮助部署业务上云（需付费）
[*]可以在阿里云官网帮助中心，找寻相关产品的使用介绍。
</ol>
3、我该如何选择阿里云服务器配置？
如果不知道如何选择自己的阿里云服务器配置，可以参考以下推荐购买：
a：普通的个人小型网站，个人博客等小流量网站
可选择低配置的阿里云服务器
推荐配置：CPU：1核、内存1G或2G、硬盘40G、带宽：1M或2M
b：论坛、门户类网站
论坛、门户类网站，用户活跃性与访问量较高，需要有足够的服务器资源空间和带宽，提升访问速度。
推荐配置：CPU：2核、内存：4G、硬盘200-500G、带宽：5-10M
c：品牌官网类网站
对官网、品牌较为重视的政府、企业等， 需要保证网站浏览更加流利顺畅，提升政府、品牌形象。
推荐配置：CPU：4核、内存：8G、硬盘150G、带宽：5M
d：视频、购物类网站：视频、购物类网站
包含庞大的数据信息， 需要保证迅速的信息处理能力保证网站的点播、交易正常进行。
推荐配置：CPU：8核、内存：16G、硬盘300G以上、带宽：10M以上
e：游戏、软件类网站
对开发、测试、环境要求较高的游戏软件类网站，需要较高的资源配置带来更强劲的计算性能，保证业务需求。
推荐配置：CPU：16核、内存：32G、硬盘：500G、带宽：10M以上
更多阿里云服务器配置选择问题可参考“阿里云服务器购买推荐配置及价格”
4、阿里云服务器怎么样？好用么？
数据报告是最直观的证据，根据IDC最新发布的2021年第一季度中国公有云市场数据显示，季度内IaaS+PaaS市场规模达46.32亿美元(301亿人民币)，其中阿里云排名第一，市场份额为40?腾讯云、华为云分别位列第二、三名，市场份额均为11?阿里云已经成为了中国云计算领域的超级独角兽。阿里云在中国公有云市场的份额已经稳居国内第一。
更多阿里云服务器问题，可参考“阿里云常见问题解答汇总,关于阿里云的疑问你都可以在这里找到答案”
页:
[1]