阿里云服务器租用收费价格表，最新收费标准及活动价格表
对于想要租用阿里云服务器的用户来说，了解阿里云服务器的收费项目、收费模式及收费标准是非常重要的，不同时期阿里云服务器的收费标准有所不同，例如在2023年阿里云服务器的七代云服务器、倚天云服务器和部分gpu云服务器收费标准就做了下调，最高降价57?云服务器活动价格也随时在更新，下面将为大家介绍阿里云服务器的最新收费价格表和最新活动报价情况及便宜购买的方法。<h2>一、阿里云服务器收费项目</h2>
阿里云提供了多个不同实例规格及配置的云服务器供用户租用选择，用户可以根据自己的业务需求选择不同配置的云服务器。
阿里云服务器的收费项目主要包括以下部分：
[*]实例费用：是使用服务器实例的时间费用，根据实例类型和实例配置来确定。
[*]网络流量费用：是服务器使用期间的流量计费，单价根据不同的网络类型和使用方式来定。
[*]带宽费用：根据地域和操作系统不同，带宽费用也有所差异。
[*]云盘费用：包括系统盘和数据盘的费用，云盘类型不同，收费标准也不同。
<h2>二、阿里云服务器收费模式</h2>
阿里云服务器的收费模式分为按量付费和包年包月两种。
[*]按量付费模式：根据实际使用时长和使用资源量计费，无需预付费。按量付费模式灵活，可根据需求随时启停服务器，并根据实际使用量进行精确计费，适合需求不稳定的场景选择。
[*]包年包月模式：预付费一定时长的费用，通常为1个月或1年，在预付费期间内使用服务器资源。包年包月模式相对于按量付费模式价格更低，适合长期稳定使用服务器的情况。
除了计费方式，云服务器的价格还收到地域和可用区、架构和分类等因素的影响。
<h2>三、阿里云服务器收费标准</h2>
阿里云服务器的收费标准根据不同的地域、内存、cpu、数据盘、带宽等配置，收费标准会有所不同。一般来说，按量付费的云服务器的基础价格相对较高，而包年包月的云服务器则有更多的优惠政策。用户可以根据自己的实际需求和预算选择适合自己的收费标准。以青岛地域为例，阿里云服务器按量(小时)、标准目录月价、优惠月价、年付月价、3年付月价、5年付月价最新的收费标准如下表所示：
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(元/小时)</th>
<th>标准目录月价（元）</th>
<th>优惠月价（元）</th>
<th>年付月价（元）</th>
<th>3年付月价（元）</th>
<th>5年付月价（元）</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用型 ecs.u1-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.45</td>
<td>216</td>
<td>216</td>
<td>129.6</td>
<td>82.08</td>
<td>82.08</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.351</td>
<td>168.48</td>
<td>168.48</td>
<td>101.09</td>
<td>64.02</td>
<td>64.02</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.large</td>
<td>2</td>
<td>16</td>
<td>0.59625</td>
<td>286.2</td>
<td>286.2</td>
<td>171.72</td>
<td>108.76</td>
<td>108.76</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.33375</td>
<td>160.2</td>
<td>160.2</td>
<td>96.12</td>
<td>60.88</td>
<td>60.88</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.6675</td>
<td>320.4</td>
<td>320.4</td>
<td>192.24</td>
<td>121.75</td>
<td>121.75</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.1925</td>
<td>572.4</td>
<td>572.4</td>
<td>343.44</td>
<td>217.51</td>
<td>217.51</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.702</td>
<td>336.96</td>
<td>336.96</td>
<td>202.18</td>
<td>128.04</td>
<td>128.04</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>259.2</td>
<td>164.16</td>
<td>164.16</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8</td>
<td>864</td>
<td>864</td>
<td>518.4</td>
<td>328.32</td>
<td>328.32</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.404</td>
<td>673.92</td>
<td>673.92</td>
<td>404.35</td>
<td>256.09</td>
<td>256.09</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>686.88</td>
<td>435.02</td>
<td>435.02</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.335</td>
<td>640.8</td>
<td>640.8</td>
<td>384.48</td>
<td>243.5</td>
<td>243.5</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.7</td>
<td>1296</td>
<td>1296</td>
<td>777.6</td>
<td>492.48</td>
<td>492.48</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.3xlarge</td>
<td>12</td>
<td>12</td>
<td>2.0025</td>
<td>961.2</td>
<td>961.2</td>
<td>576.72</td>
<td>365.26</td>
<td>365.26</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.106</td>
<td>1010.88</td>
<td>1010.88</td>
<td>606.53</td>
<td>384.13</td>
<td>384.13</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.5775</td>
<td>1717.2</td>
<td>1717.2</td>
<td>1030.32</td>
<td>652.54</td>
<td>652.54</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>2.67</td>
<td>1281.6</td>
<td>1281.6</td>
<td>768.96</td>
<td>487.01</td>
<td>487.01</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1373.76</td>
<td>870.05</td>
<td>870.05</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.6</td>
<td>1728</td>
<td>1728</td>
<td>1036.8</td>
<td>656.64</td>
<td>656.64</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.808</td>
<td>1347.84</td>
<td>1347.84</td>
<td>808.7</td>
<td>512.18</td>
<td>512.18</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.2</td>
<td>3456</td>
<td>3456</td>
<td>2073.6</td>
<td>1313.28</td>
<td>1313.28</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>2747.52</td>
<td>1740.1</td>
<td>1740.1</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.616</td>
<td>2695.68</td>
<td>2695.68</td>
<td>1617.41</td>
<td>1024.36</td>
<td>1024.36</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.8xlarge</td>
<td>32</td>
<td>32</td>
<td>5.34</td>
<td>2563.2</td>
<td>2563.2</td>
<td>1537.92</td>
<td>974.02</td>
<td>974.02</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>26.46</td>
<td>7620</td>
<td>4572</td>
<td>3429</td>
<td>2209.8</td>
<td>2209.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>105.84</td>
<td>30480</td>
<td>18288</td>
<td>13716</td>
<td>8839.2</td>
<td>8839.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>211.68</td>
<td>60960</td>
<td>36576</td>
<td>27432</td>
<td>17678.4</td>
<td>17678.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c10g1.20xlarge</td>
<td>82</td>
<td>336</td>
<td>219.64</td>
<td>63255</td>
<td>37953</td>
<td>28464.75</td>
<td>18343.95</td>
<td>18343.95</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.5</td>
<td>240</td>
<td>240</td>
<td>204</td>
<td>132</td>
<td>91.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1</td>
<td>480</td>
<td>480</td>
<td>408</td>
<td>264</td>
<td>182.4</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2</td>
<td>960</td>
<td>960</td>
<td>816</td>
<td>528</td>
<td>364.8</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3</td>
<td>1440</td>
<td>1440</td>
<td>1224</td>
<td>792</td>
<td>547.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4</td>
<td>1920</td>
<td>1920</td>
<td>1632</td>
<td>1056</td>
<td>729.6</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6</td>
<td>2880</td>
<td>2880</td>
<td>2448</td>
<td>1584</td>
<td>1094.4</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8</td>
<td>3840</td>
<td>3840</td>
<td>3264</td>
<td>2112</td>
<td>1459.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>13</td>
<td>6240</td>
<td>6240</td>
<td>5304</td>
<td>3432</td>
<td>2371.2</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>26</td>
<td>12480</td>
<td>12480</td>
<td>10608</td>
<td>6864</td>
<td>4742.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>11.63</td>
<td>3348</td>
<td>3348</td>
<td>1674</td>
<td>1071.36</td>
<td>1071.36</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>14</td>
<td>4032</td>
<td>4032</td>
<td>2016</td>
<td>1290.24</td>
<td>1290.24</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>16.41</td>
<td>4725</td>
<td>4725</td>
<td>2362.5</td>
<td>1512</td>
<td>1512</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>17.19</td>
<td>4950</td>
<td>4950</td>
<td>2475</td>
<td>1584</td>
<td>1584</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c40g1.10xlarge</td>
<td>40</td>
<td>155</td>
<td>14.819</td>
<td>7112.9</td>
<td>7112.9</td>
<td>3556.45</td>
<td>2276.13</td>
<td>2276.13</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>34.38</td>
<td>9900</td>
<td>9900</td>
<td>4950</td>
<td>3168</td>
<td>3168</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>68.75</td>
<td>19800</td>
<td>19800</td>
<td>9900</td>
<td>6336</td>
<td>6336</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.39</td>
<td>187</td>
<td>187</td>
<td>158.95</td>
<td>102.85</td>
<td>71.06</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.78</td>
<td>374</td>
<td>374</td>
<td>317.9</td>
<td>205.7</td>
<td>142.12</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.56</td>
<td>748</td>
<td>748</td>
<td>635.8</td>
<td>411.4</td>
<td>284.24</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.34</td>
<td>1122</td>
<td>1122</td>
<td>953.7</td>
<td>617.1</td>
<td>426.36</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.12</td>
<td>1496</td>
<td>1496</td>
<td>1271.6</td>
<td>822.8</td>
<td>568.48</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.68</td>
<td>2244</td>
<td>2244</td>
<td>1907.4</td>
<td>1234.2</td>
<td>852.72</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.23</td>
<td>2992</td>
<td>2992</td>
<td>2543.2</td>
<td>1645.6</td>
<td>1136.96</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.13</td>
<td>4862</td>
<td>4862</td>
<td>4132.7</td>
<td>2674.1</td>
<td>1847.56</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>20.26</td>
<td>9724</td>
<td>9724</td>
<td>8265.4</td>
<td>5348.2</td>
<td>3695.12</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.66</td>
<td>318</td>
<td>318</td>
<td>270.3</td>
<td>174.9</td>
<td>120.84</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.33</td>
<td>636</td>
<td>636</td>
<td>540.6</td>
<td>349.8</td>
<td>241.68</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.65</td>
<td>1272</td>
<td>1272</td>
<td>1081.2</td>
<td>699.6</td>
<td>483.36</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.98</td>
<td>1908</td>
<td>1908</td>
<td>1621.8</td>
<td>1049.4</td>
<td>725.04</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.3</td>
<td>2544</td>
<td>2544</td>
<td>2162.4</td>
<td>1399.2</td>
<td>966.72</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.95</td>
<td>3816</td>
<td>3816</td>
<td>3243.6</td>
<td>2098.8</td>
<td>1450.08</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.6</td>
<td>5088</td>
<td>5088</td>
<td>4324.8</td>
<td>2798.4</td>
<td>1933.44</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>17.23</td>
<td>8268</td>
<td>8268</td>
<td>7027.8</td>
<td>4547.4</td>
<td>3141.84</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>34.45</td>
<td>16536</td>
<td>16536</td>
<td>14055.6</td>
<td>9094.8</td>
<td>6283.68</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>34.45</td>
<td>16536</td>
<td>16536</td>
<td>14055.6</td>
<td>9094.8</td>
<td>6283.68</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.62</td>
<td>179</td>
<td>179</td>
<td>152.15</td>
<td>98.45</td>
<td>68.02</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.24</td>
<td>358</td>
<td>358</td>
<td>304.3</td>
<td>196.9</td>
<td>136.04</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.49</td>
<td>716</td>
<td>716</td>
<td>608.6</td>
<td>393.8</td>
<td>272.08</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</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.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.97</td>
<td>1432</td>
<td>1432</td>
<td>1217.2</td>
<td>787.6</td>
<td>544.16</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</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.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.94</td>
<td>2864</td>
<td>2864</td>
<td>2434.4</td>
<td>1575.2</td>
<td>1088.32</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.89</td>
<td>5728</td>
<td>5728</td>
<td>4868.8</td>
<td>3150.4</td>
<td>2176.64</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</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>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</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>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</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.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.08</td>
<td>2040</td>
<td>2040</td>
<td>1734</td>
<td>1122</td>
<td>775.2</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</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.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.17</td>
<td>4080</td>
<td>4080</td>
<td>3468</td>
<td>2244</td>
<td>1550.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>28.33</td>
<td>8160</td>
<td>8160</td>
<td>6936</td>
<td>4488</td>
<td>3100.8</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>1.13</td>
<td>326</td>
<td>326</td>
<td>277.1</td>
<td>179.3</td>
<td>123.88</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.26</td>
<td>652</td>
<td>652</td>
<td>554.2</td>
<td>358.6</td>
<td>247.76</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.53</td>
<td>1304</td>
<td>1304</td>
<td>1108.4</td>
<td>717.2</td>
<td>495.52</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</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.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.06</td>
<td>2608</td>
<td>2608</td>
<td>2216.8</td>
<td>1434.4</td>
<td>991.04</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</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.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.11</td>
<td>5216</td>
<td>5216</td>
<td>4433.6</td>
<td>2868.8</td>
<td>1982.08</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>36.22</td>
<td>10432</td>
<td>10432</td>
<td>8867.2</td>
<td>5737.6</td>
<td>3964.16</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.87</td>
<td>251</td>
<td>251</td>
<td>208.33</td>
<td>125.5</td>
<td>82.83</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.74</td>
<td>502</td>
<td>502</td>
<td>416.66</td>
<td>251</td>
<td>165.66</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.49</td>
<td>1004</td>
<td>1004</td>
<td>833.32</td>
<td>502</td>
<td>331.32</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</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.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.97</td>
<td>2008</td>
<td>2008</td>
<td>1666.64</td>
<td>1004</td>
<td>662.64</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</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>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>13.94</td>
<td>4016</td>
<td>4016</td>
<td>3333.28</td>
<td>2008</td>
<td>1325.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>1.15</td>
<td>332</td>
<td>332</td>
<td>268.92</td>
<td>162.68</td>
<td>106.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.31</td>
<td>664</td>
<td>664</td>
<td>537.84</td>
<td>325.36</td>
<td>212.48</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.61</td>
<td>1328</td>
<td>1328</td>
<td>1075.68</td>
<td>650.72</td>
<td>424.96</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</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.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>9.22</td>
<td>2656</td>
<td>2656</td>
<td>2151.36</td>
<td>1301.44</td>
<td>849.92</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</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.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>18.44</td>
<td>5312</td>
<td>5312</td>
<td>4302.72</td>
<td>2602.88</td>
<td>1699.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>30.58</td>
<td>8808</td>
<td>8808</td>
<td>7134.48</td>
<td>4315.92</td>
<td>2818.56</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c2g1.large</td>
<td>2</td>
<td>8</td>
<td>8.68</td>
<td>2500</td>
<td>2375</td>
<td>1875</td>
<td>1125</td>
<td>750</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c4g1.xlarge</td>
<td>4</td>
<td>16</td>
<td>9.69</td>
<td>2790</td>
<td>2650.5</td>
<td>2092.5</td>
<td>1255.5</td>
<td>837</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>11.67</td>
<td>3360</td>
<td>3192</td>
<td>2520</td>
<td>1512</td>
<td>1008</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c16g1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>15.63</td>
<td>4500</td>
<td>4275</td>
<td>3375</td>
<td>2025</td>
<td>1350</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c16g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>31.25</td>
<td>9000</td>
<td>8550</td>
<td>6750</td>
<td>4050</td>
<td>2700</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>43.06</td>
<td>12400</td>
<td>11780</td>
<td>9300</td>
<td>5580</td>
<td>3720</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.063</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-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.083</td>
<td>24</td>
<td>22.8</td>
<td>18</td>
<td>10.8</td>
<td>7.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.167</td>
<td>48</td>
<td>45.6</td>
<td>36</td>
<td>21.6</td>
<td>14.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.29</td>
<td>83</td>
<td>78.85</td>
<td>62.25</td>
<td>37.35</td>
<td>24.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.4</td>
<td>116</td>
<td>110.2</td>
<td>87</td>
<td>52.2</td>
<td>34.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.63</td>
<td>180</td>
<td>171</td>
<td>135</td>
<td>81</td>
<td>54</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.333</td>
<td>96</td>
<td>91.2</td>
<td>72</td>
<td>43.2</td>
<td>28.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.55</td>
<td>159</td>
<td>151.05</td>
<td>119.25</td>
<td>71.55</td>
<td>47.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.58</td>
<td>167</td>
<td>158.65</td>
<td>125.25</td>
<td>75.15</td>
<td>50.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.8</td>
<td>231</td>
<td>219.45</td>
<td>173.25</td>
<td>103.95</td>
<td>69.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.25</td>
<td>360</td>
<td>342</td>
<td>270</td>
<td>162</td>
<td>108</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.16</td>
<td>333</td>
<td>316.35</td>
<td>249.75</td>
<td>149.85</td>
<td>99.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.6</td>
<td>462</td>
<td>438.9</td>
<td>346.5</td>
<td>207.9</td>
<td>138.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>684</td>
<td>540</td>
<td>324</td>
<td>216</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>2.31</td>
<td>666</td>
<td>632.7</td>
<td>499.5</td>
<td>299.7</td>
<td>199.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.21</td>
<td>924</td>
<td>877.8</td>
<td>693</td>
<td>415.8</td>
<td>277.2</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>42.36</td>
<td>12200</td>
<td>11590</td>
<td>9150</td>
<td>5490</td>
<td>3660</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.59</td>
<td>170</td>
<td>170</td>
<td>144.5</td>
<td>93.5</td>
<td>64.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.18</td>
<td>340</td>
<td>340</td>
<td>289</td>
<td>187</td>
<td>129.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.36</td>
<td>680</td>
<td>680</td>
<td>578</td>
<td>374</td>
<td>258.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.72</td>
<td>1360</td>
<td>1360</td>
<td>1156</td>
<td>748</td>
<td>516.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>7.09</td>
<td>2041</td>
<td>2041</td>
<td>1734.85</td>
<td>1122.55</td>
<td>775.58</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>9.45</td>
<td>2721</td>
<td>2721</td>
<td>2312.85</td>
<td>1496.55</td>
<td>1033.98</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>18.9</td>
<td>5442</td>
<td>5442</td>
<td>4625.7</td>
<td>2993.1</td>
<td>2067.96</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.649479</td>
<td>311.75</td>
<td>311.75</td>
<td>264.99</td>
<td>171.46</td>
<td>118.46</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.298958</td>
<td>623.5</td>
<td>623.5</td>
<td>529.98</td>
<td>342.92</td>
<td>236.93</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.33</td>
<td>1247</td>
<td>1247</td>
<td>1059.95</td>
<td>685.85</td>
<td>473.86</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.66</td>
<td>2494</td>
<td>2494</td>
<td>2119.9</td>
<td>1371.7</td>
<td>947.72</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>17.32</td>
<td>4988</td>
<td>4988</td>
<td>4239.8</td>
<td>2743.4</td>
<td>1895.44</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>34.64</td>
<td>9976</td>
<td>9976</td>
<td>8479.6</td>
<td>5486.8</td>
<td>3790.88</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>38.97</td>
<td>11223</td>
<td>11223</td>
<td>9539.55</td>
<td>6172.65</td>
<td>4264.74</td>
</tr>
<tr>
<td>通用型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.29</td>
<td>84</td>
<td>84</td>
<td>71.4</td>
<td>42</td>
<td>42</td>
</tr>
<tr>
<td>通用型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.71</td>
<td>204</td>
<td>204</td>
<td>173.4</td>
<td>102</td>
<td>102</td>
</tr>
<tr>
<td>通用型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.42</td>
<td>408</td>
<td>408</td>
<td>346.8</td>
<td>204</td>
<td>204</td>
</tr>
<tr>
<td>通用型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.83</td>
<td>816</td>
<td>816</td>
<td>693.6</td>
<td>408</td>
<td>408</td>
</tr>
<tr>
<td>通用型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.67</td>
<td>1632</td>
<td>1632</td>
<td>1387.2</td>
<td>816</td>
<td>816</td>
</tr>
<tr>
<td>通用型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.33</td>
<td>3264</td>
<td>3264</td>
<td>2774.4</td>
<td>1632</td>
<td>1632</td>
</tr>
<tr>
<td>通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.54</td>
<td>155</td>
<td>155</td>
<td>131.75</td>
<td>77.5</td>
<td>77.5</td>
</tr>
<tr>
<td>通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>1.08</td>
<td>310</td>
<td>310</td>
<td>263.5</td>
<td>155</td>
<td>155</td>
</tr>
<tr>
<td>通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.15</td>
<td>620</td>
<td>620</td>
<td>527</td>
<td>310</td>
<td>310</td>
</tr>
<tr>
<td>通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.3</td>
<td>1240</td>
<td>1240</td>
<td>1054</td>
<td>620</td>
<td>620</td>
</tr>
<tr>
<td>通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.61</td>
<td>2480</td>
<td>2480</td>
<td>2108</td>
<td>1240</td>
<td>1240</td>
</tr>
<tr>
<td>通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>17.22</td>
<td>4960</td>
<td>4960</td>
<td>4216</td>
<td>2480</td>
<td>2480</td>
</tr>
<tr>
<td>通用型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.16</td>
<td>45</td>
<td>45</td>
<td>38.25</td>
<td>22.5</td>
<td>22.5</td>
</tr>
<tr>
<td>通用型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.9</td>
<td>260</td>
<td>260</td>
<td>221</td>
<td>130</td>
<td>130</td>
</tr>
<tr>
<td>通用型 ecs.e4.large</td>
<td>2</td>
<td>16</td>
<td>1.81</td>
<td>520</td>
<td>520</td>
<td>442</td>
<td>260</td>
<td>260</td>
</tr>
<tr>
<td>通用型 ecs.e4.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.61</td>
<td>1040</td>
<td>1040</td>
<td>884</td>
<td>520</td>
<td>520</td>
</tr>
<tr>
<td>通用型 ecs.e4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>7.22</td>
<td>2080</td>
<td>2080</td>
<td>1768</td>
<td>1040</td>
<td>1040</td>
</tr>
<tr>
<td>通用型 ecs.e4.4xlarge</td>
<td>16</td>
<td>128</td>
<td>14.44</td>
<td>4160</td>
<td>4160</td>
<td>3536</td>
<td>2080</td>
<td>2080</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.10xlarge</td>
<td>40</td>
<td>480</td>
<td>34.375</td>
<td>9900</td>
<td>9900</td>
<td>8415</td>
<td>4950</td>
<td>4950</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.20xlarge</td>
<td>80</td>
<td>960</td>
<td>68.75</td>
<td>19800</td>
<td>19800</td>
<td>16830</td>
<td>9900</td>
<td>9900</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.40xlarge</td>
<td>160</td>
<td>1920</td>
<td>137.5</td>
<td>39600</td>
<td>39600</td>
<td>33660</td>
<td>19800</td>
<td>19800</td>
</tr>
<tr>
<td>ecs.sn2ne.large</td>
<td>2</td>
<td>8</td>
<td>0.99</td>
<td>286</td>
<td>286</td>
<td>243.1</td>
<td>157.3</td>
<td>108.68</td>
</tr>
<tr>
<td>ecs.sn2ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.99</td>
<td>572</td>
<td>572</td>
<td>486.2</td>
<td>314.6</td>
<td>217.36</td>
</tr>
<tr>
<td>ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.97</td>
<td>1144</td>
<td>1144</td>
<td>972.4</td>
<td>629.2</td>
<td>434.72</td>
</tr>
<tr>
<td>ecs.sn2ne.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.96</td>
<td>1716</td>
<td>1716</td>
<td>1458.6</td>
<td>943.8</td>
<td>652.08</td>
</tr>
<tr>
<td>ecs.sn2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.94</td>
<td>2288</td>
<td>2288</td>
<td>1944.8</td>
<td>1258.4</td>
<td>869.44</td>
</tr>
<tr>
<td>ecs.sn2ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.92</td>
<td>3432</td>
<td>3432</td>
<td>2917.2</td>
<td>1887.6</td>
<td>1304.16</td>
</tr>
<tr>
<td>ecs.sn2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.89</td>
<td>4576</td>
<td>4576</td>
<td>3889.6</td>
<td>2516.8</td>
<td>1738.88</td>
</tr>
<tr>
<td>ecs.sn2ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>27.81</td>
<td>8008</td>
<td>8008</td>
<td>6806.8</td>
<td>4404.4</td>
<td>3043.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.88</td>
<td>904</td>
<td>904</td>
<td>768.4</td>
<td>497.2</td>
<td>343.52</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.77</td>
<td>1808</td>
<td>1808</td>
<td>1536.8</td>
<td>994.4</td>
<td>687.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.53</td>
<td>3616</td>
<td>3616</td>
<td>3073.6</td>
<td>1988.8</td>
<td>1374.08</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.07</td>
<td>7232</td>
<td>7232</td>
<td>6147.2</td>
<td>3977.6</td>
<td>2748.16</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>30.13</td>
<td>14464</td>
<td>14464</td>
<td>12294.4</td>
<td>7955.2</td>
<td>5496.32</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.073</td>
<td>1475</td>
<td>1475</td>
<td>1253.75</td>
<td>811.25</td>
<td>1475</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.146</td>
<td>2950</td>
<td>2950</td>
<td>2507.5</td>
<td>1622.5</td>
<td>2950</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.292</td>
<td>5900</td>
<td>5900</td>
<td>5015</td>
<td>3245</td>
<td>5900</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>24.584</td>
<td>11800</td>
<td>11800</td>
<td>10030</td>
<td>6490</td>
<td>11800</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.975049</td>
<td>949.2</td>
<td>949.2</td>
<td>806.82</td>
<td>522.06</td>
<td>360.7</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.951</td>
<td>1898.4</td>
<td>1898.4</td>
<td>1613.64</td>
<td>1044.12</td>
<td>721.39</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.901</td>
<td>3796.8</td>
<td>3796.8</td>
<td>3227.28</td>
<td>2088.24</td>
<td>1442.78</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.801</td>
<td>7593.6</td>
<td>7593.6</td>
<td>6454.56</td>
<td>4176.48</td>
<td>2885.57</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>512</td>
<td>31.601</td>
<td>15187.2</td>
<td>15187.2</td>
<td>12909.12</td>
<td>8352.96</td>
<td>5771.14</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.20xlarge</td>
<td>80</td>
<td>704</td>
<td>39.501</td>
<td>18984</td>
<td>18984</td>
<td>16136.4</td>
<td>10441.2</td>
<td>7213.92</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>14.73</td>
<td>4242</td>
<td>4242</td>
<td>3605.7</td>
<td>2333.1</td>
<td>1611.96</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>29.46</td>
<td>8484</td>
<td>8484</td>
<td>7211.4</td>
<td>4666.2</td>
<td>3223.92</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>58.92</td>
<td>16968</td>
<td>16968</td>
<td>14422.8</td>
<td>9332.4</td>
<td>6447.84</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.53</td>
<td>366</td>
<td>366</td>
<td>311.1</td>
<td>183</td>
<td>183</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.07</td>
<td>732</td>
<td>732</td>
<td>622.2</td>
<td>366</td>
<td>366</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.14</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>732</td>
<td>732</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.28</td>
<td>2928</td>
<td>2928</td>
<td>2488.8</td>
<td>1464</td>
<td>1464</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>24.56</td>
<td>5856</td>
<td>5856</td>
<td>4977.6</td>
<td>2928</td>
<td>2928</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>44.29</td>
<td>10248</td>
<td>10248</td>
<td>8710.8</td>
<td>5124</td>
<td>5124</td>
</tr>
<tr>
<td>ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>0.68</td>
<td>197</td>
<td>197</td>
<td>167.45</td>
<td>108.35</td>
<td>74.86</td>
</tr>
<tr>
<td>ecs.sn1ne.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.37</td>
<td>394</td>
<td>394</td>
<td>334.9</td>
<td>216.7</td>
<td>149.72</td>
</tr>
<tr>
<td>ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.74</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>ecs.sn1ne.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.1</td>
<td>1182</td>
<td>1182</td>
<td>1004.7</td>
<td>650.1</td>
<td>449.16</td>
</tr>
<tr>
<td>ecs.sn1ne.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.47</td>
<td>1576</td>
<td>1576</td>
<td>1339.6</td>
<td>866.8</td>
<td>598.88</td>
</tr>
<tr>
<td>ecs.sn1ne.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.21</td>
<td>2364</td>
<td>2364</td>
<td>2009.4</td>
<td>1300.2</td>
<td>898.32</td>
</tr>
<tr>
<td>ecs.sn1ne.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.94</td>
<td>3152</td>
<td>3152</td>
<td>2679.2</td>
<td>1733.6</td>
<td>1197.76</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.large</td>
<td>2</td>
<td>16</td>
<td>1.27</td>
<td>366</td>
<td>366</td>
<td>311.1</td>
<td>201.3</td>
<td>139.08</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.54</td>
<td>732</td>
<td>732</td>
<td>622.2</td>
<td>402.6</td>
<td>278.16</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.08</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>805.2</td>
<td>556.32</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.3xlarge</td>
<td>12</td>
<td>96</td>
<td>7.63</td>
<td>2196</td>
<td>2196</td>
<td>1866.6</td>
<td>1207.8</td>
<td>834.48</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.17</td>
<td>2928</td>
<td>2928</td>
<td>2488.8</td>
<td>1610.4</td>
<td>1112.64</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.6xlarge</td>
<td>24</td>
<td>192</td>
<td>15.25</td>
<td>4392</td>
<td>4392</td>
<td>3733.2</td>
<td>2415.6</td>
<td>1668.96</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>20.33</td>
<td>5856</td>
<td>5856</td>
<td>4977.6</td>
<td>3220.8</td>
<td>2225.28</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.14xlarge</td>
<td>56</td>
<td>480</td>
<td>35.58</td>
<td>10248</td>
<td>10248</td>
<td>8710.8</td>
<td>5636.4</td>
<td>3894.24</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.68</td>
<td>1925</td>
<td>1828.75</td>
<td>1443.75</td>
<td>866.25</td>
<td>577.5</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.37</td>
<td>3850</td>
<td>3657.5</td>
<td>2887.5</td>
<td>1732.5</td>
<td>1155</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</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.8xlarge</td>
<td>32</td>
<td>128</td>
<td>26.74</td>
<td>7700</td>
<td>7315</td>
<td>5775</td>
<td>3465</td>
<td>2310</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>46.79</td>
<td>13475</td>
<td>12801.25</td>
<td>10106.25</td>
<td>6063.75</td>
<td>4042.5</td>
</tr>
</tbody>
</table>
<h2>四、阿里云服务器最新活动价格</h2>
阿里云会不定期推出各种云服务器活动，在所有云服务器实例规格中，阿里云目前参与活动的云服务器类型有轻量应用服务器、经济型、计算型、通用型、内存型和通用算力型云服务器，轻量应用服务器最低活动价格为108元1年，经济型云服务器最低活动价格为182.04元1年，计算型云服务器最低活动价格为992.11元1年，通用型云服务器最低活动价格为1268.04元1年，内存型云服务器最低活动价格为1563.71元1年，通用算力型云服务器最低活动价格为1125.96元1年。本文为大家整理汇总了阿里云活动款云服务器的最新活动价格情况，以表格形式展示给大家，以供参考和选择。
<h3>1、轻量应用服务器活动价格</h3>
轻量应用服务器（Simple Application Server）是可以快速搭建且易于管理的轻量级云服务器，面向单台服务器提供了一键部署应用、一站式域名解析、安全管理以及运维监控等服务。轻量应用服务器适用于搭建小型网站、建立个人博客、建立论坛社区、构建知识效率管理工具、建立个人学习环境、搭建小型电商网站及快速搭建开发环境等。
<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</th>
</tr>
</thead>
<tbody>
<tr>
<td>轻量应用服务器</td>
<td>2核2G</td>
<td>3M</td>
<td>50GB ESSD</td>
<td>108元/1年</td>
</tr>
<tr>
<td>轻量应用服务器</td>
<td>2核4G</td>
<td>4M</td>
<td>60GB ESSD</td>
<td>297.98元/1年</td>
</tr>
</tbody>
</table>
<h3>2、经济型e实例云服务器活动价格</h3>
阿里云全新推出经济型e实例，采用Intel ? Xeon ? Platinum可扩展处理器，在资源利用上侧重于资源性能的共享，所以无法保证实例计算性能的稳定，适合轻量级使用场景，如：中小型网站建设、开发测试、轻量级应用。
<table>
<thead>
<tr>
<th>实例规格</th>
<th>配置</th>
<th>系统盘容量</th>
<th>活动价格（按量带宽）</th>
<th>活动价格（按固定带宽1M）</th>
<th>活动价格（按固定带宽2M）</th>
<th>活动价格（按固定带宽3M）</th>
<th>活动价格（按固定带宽4M）</th>
<th>活动价格（按固定带宽5M）</th>
</tr>
</thead>
<tbody>
<tr>
<td>经济型e</td>
<td>2核2G</td>
<td>20G ESSD Entry</td>
<td>182.04元</td>
<td>416.64元</td>
<td>651.24元</td>
<td>906.24元</td>
<td>1161.24元</td>
<td>1457.04元</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>365.33元</td>
<td>599.93元</td>
<td>834.53元</td>
<td>1089.53元</td>
<td>1344.53元</td>
<td>1640.33元</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>1450.08元</td>
<td>1684.68元</td>
<td>1919.28元</td>
<td>2174.28元</td>
<td>2429.28元</td>
<td>2725.08元</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD Entry</td>
<td>2849.76元</td>
<td>3084.36元</td>
<td>3318.96元</td>
<td>3573.96元</td>
<td>3828.96元</td>
<td>4124.76元</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>522.79元</td>
<td>757.39元</td>
<td>991.99元</td>
<td>1246.99元</td>
<td>1501.99元</td>
<td>1797.79元</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核16G</td>
<td>20G ESSD Entry</td>
<td>2149.92元</td>
<td>2384.52元</td>
<td>2619.12元</td>
<td>2874.12元</td>
<td>3129.12元</td>
<td>3424.92元</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核32G</td>
<td>20G ESSD Entry</td>
<td>4249.44元</td>
<td>4484.04元</td>
<td>4718.64元</td>
<td>4973.64元</td>
<td>5228.64元</td>
<td>5524.44元</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核2G</td>
<td>20G ESSD云盘</td>
<td>275.64元</td>
<td>510.24元</td>
<td>744.84元</td>
<td>999.84元</td>
<td>1254.84元</td>
<td>1550.64元</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD云盘</td>
<td>458.93元</td>
<td>693.53元</td>
<td>928.13元</td>
<td>1183.13元</td>
<td>1438.13元</td>
<td>1733.93元</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD云盘</td>
<td>1543.68元</td>
<td>1778.28元</td>
<td>2012.88元</td>
<td>2267.88元</td>
<td>2522.88元</td>
<td>2818.68元</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD云盘</td>
<td>2943.36元</td>
<td>3177.96元</td>
<td>3412.56元</td>
<td>3667.56元</td>
<td>3922.56元</td>
<td>4218.36元</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD云盘</td>
<td>616.39元</td>
<td>850.99元</td>
<td>1085.59元</td>
<td>1340.59元</td>
<td>1595.59元</td>
<td>1891.39元</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核16G</td>
<td>20G ESSD云盘</td>
<td>2243.52元</td>
<td>2478.12元</td>
<td>2712.72元</td>
<td>2967.72元</td>
<td>3222.72元</td>
<td>3518.52元</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核32G</td>
<td>20G ESSD云盘</td>
<td>4343.04元</td>
<td>4577.64元</td>
<td>4812.24元</td>
<td>5067.24元</td>
<td>5322.24元</td>
<td>5618.04元</td>
</tr>
</tbody>
</table>
https://upload-images.jianshu.io/upload_images/19316870-2065f64f93056487.png
<div class="image-caption">经济型e价格图.png
<h3>3、通用算力型u1实例云服务器活动价格</h3>
通用算力型u1实例是阿里云目前各大活动中主打的一款云服务器实例规格，这款实例具有高性价比的特点，相同算力购置成本最高下降40?支持多款Intel Xeon Platinum 可扩展处理器，基准vCPU算力与5代企业级实例持平，最高vCPU算力与6代企业级实例持平，提供2c-32c规格和1:1/2/4/8丰富配比。该类型实例依托阿里云资源池化技术和智能调度算法进行动态资源管理，为您的应用提供持续的算力保障、稳定性保障、供应及弹性保障，可以满足大多数场景下的应用需求。
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用算力型u1</td>
<td>2核2G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>1125.96元</td>
<td>1360.56元</td>
<td>1615.56元</td>
<td>1870.56元</td>
<td>2166.36元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核4G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>1916.52元</td>
<td>2151.12元</td>
<td>2406.12元</td>
<td>2661.12元</td>
<td>2956.92元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核8G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>3497.64元</td>
<td>3732.24元</td>
<td>3987.24元</td>
<td>4242.24元</td>
<td>4538.04元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>1182.98元</td>
<td>1417.58元</td>
<td>1672.58元</td>
<td>1927.58元</td>
<td>2223.38元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>2030.57元</td>
<td>2265.17元</td>
<td>2520.17元</td>
<td>2775.17元</td>
<td>3070.97元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>3650.14元</td>
<td>3960.34元</td>
<td>4215.34元</td>
<td>4470.34元</td>
<td>4766.14元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>1424.04元</td>
<td>1658.64元</td>
<td>1913.64元</td>
<td>2168.64元</td>
<td>2464.44元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>2512.68元</td>
<td>2747.28元</td>
<td>3002.28元</td>
<td>3257.28元</td>
<td>3553.08元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>4689.96元</td>
<td>4924.56元</td>
<td>5179.56元</td>
<td>5434.56元</td>
<td>4924.56元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>1758.41元</td>
<td>1993.01元</td>
<td>2248.01元</td>
<td>2503.01元</td>
<td>2798.81元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>3181.42元</td>
<td>3416.02元</td>
<td>3671.02元</td>
<td>3926.02元</td>
<td>4221.82元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD Entry云盘</td>
<td>6027.43元</td>
<td>6262.03元</td>
<td>6517.03元</td>
<td>6772.03元</td>
<td>7067.83元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核2G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1169.16元</td>
<td>1403.76元</td>
<td>1658.76元</td>
<td>1913.76元</td>
<td>2209.56元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1959.72元</td>
<td>2194.32元</td>
<td>2449.32元</td>
<td>2704.32元</td>
<td>3000.12元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3540.84元</td>
<td>3775.44元</td>
<td>4030.44元</td>
<td>4285.44元</td>
<td>4581.24元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1226.18元</td>
<td>1460.78元</td>
<td>1715.78元</td>
<td>1970.78元</td>
<td>2266.58元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2073.77元</td>
<td>2308.37元</td>
<td>2563.37元</td>
<td>2818.37元</td>
<td>3114.17元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3768.94元</td>
<td>4003.54元</td>
<td>4258.54元</td>
<td>4513.54元</td>
<td>4809.34元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1467.24元</td>
<td>1701.84元</td>
<td>1956.84元</td>
<td>2211.84元</td>
<td>2507.64元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2555.88元</td>
<td>2790.48元</td>
<td>3045.48元</td>
<td>3300.48元</td>
<td>3596.28元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4733.16元</td>
<td>4967.76元</td>
<td>5222.76元</td>
<td>5477.76元</td>
<td>5773.56元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1801.61元</td>
<td>2036.21元</td>
<td>2291.21元</td>
<td>2546.21元</td>
<td>2842.01元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3224.62元</td>
<td>3459.22元</td>
<td>3714.22元</td>
<td>3969.22元</td>
<td>4265.02元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>6070.63元</td>
<td>6305.23元</td>
<td>6560.23元</td>
<td>6815.23元</td>
<td>7111.03元</td>
</tr>
</tbody>
</table>
https://upload-images.jianshu.io/upload_images/19316870-aa8204564c5d7cd4.png
<h3>4、七代云服务器c7g7r7系列云服务器活动价格</h3>
c7g7r7实例均属于阿里云第七代云服务器实例，主要区别是计算型c7处理器与内存配比为1:2，通用型g7处理器与内存配比为1:4，处理器与内存配比为1:8，第七代云服务器实例搭载最新一代英特尔?至强?可扩展处理器（代号Cedar Island）以及阿里云自研的第三代神龙云服务器架构， 标配ESSD云盘，整机算力是上一代的2.6倍。
c7g7r7系列云服务器年付活动价格
<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1年</th>
<th>活动价格2年</th>
<th>活动价格3年</th>
<th>活动价格4年</th>
<th>活动价格5年</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>2129.41元</td>
<td>3623.21元</td>
<td>4374.97元</td>
<td>4987.88元</td>
<td>5530.35元</td>
</tr>
<tr>
<td>计算型c7</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>3820.22元</td>
<td>6441.23元</td>
<td>7686.14元</td>
<td>8557.37元</td>
<td>9287.71元</td>
</tr>
<tr>
<td>计算型c7</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>7201.83元</td>
<td>12077.26元</td>
<td>14308.47元</td>
<td>15696.35元</td>
<td>16802.41元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>2608.62元</td>
<td>4421.90元</td>
<td>5313.43元</td>
<td>5999.56元</td>
<td>6595.27元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>4778.64元</td>
<td>8038.61元</td>
<td>9563.05元</td>
<td>10580.72元</td>
<td>11417.54元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>9118.69元</td>
<td>15272.02元</td>
<td>18062.31元</td>
<td>19743.03元</td>
<td>21062.09元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>3325.97元</td>
<td>5617.48元</td>
<td>6718.23元</td>
<td>7513.96元</td>
<td>8189.37元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>6213.34元</td>
<td>10429.76元</td>
<td>12372.66元</td>
<td>13609.51元</td>
<td>14605.75元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G-500G ESSD云盘</td>
<td>11988.08元</td>
<td>20054.33元</td>
<td>23681.52元</td>
<td>25800.62元</td>
<td>27438.50元</td>
</tr>
</tbody>
</table>
c7/g7/r7系列云服务器1M-5M带宽活动价格
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2129.41元/1年</td>
<td>2364.01元/1年</td>
<td>2619.01元/1年</td>
<td>2874.01元/1年</td>
<td>3169.81元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3820.22元/1年</td>
<td>4054.82元/1年</td>
<td>4309.82元/1年</td>
<td>4564.82元/1年</td>
<td>4860.62元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>7201.83元/1年</td>
<td>7436.43元/1年</td>
<td>7691.43元/1年</td>
<td>7946.43元/1年</td>
<td>8242.23元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2608.62元/1年</td>
<td>2843.22元/1年</td>
<td>3098.22元/1年</td>
<td>3353.22元/1年</td>
<td>3649.02元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4778.64元/1年</td>
<td>5013.24元/1年</td>
<td>5268.24元/1年</td>
<td>5523.24元/1年</td>
<td>5819.04元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>9118.69元/1年</td>
<td>9353.29元/1年</td>
<td>9608.29元/1年</td>
<td>9863.29元/1年</td>
<td>10159.09元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3325.97元/1年</td>
<td>3560.57元/1年</td>
<td>3815.57元/1年</td>
<td>4070.57元/1年</td>
<td>4366.37元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>6213.34元/1年</td>
<td>6447.94元/1年</td>
<td>6702.94元/1年</td>
<td>6957.94元/1年</td>
<td>7253.74元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>11988.08元/1年</td>
<td>12222.68元/1年</td>
<td>12477.68元/1年</td>
<td>12732.68元/1年</td>
<td>13028.48元/1年</td>
</tr>
</tbody>
</table>
https://upload-images.jianshu.io/upload_images/19316870-b74b6b3f8b4f8535.png
<h3>5、倚天云服务器c8y/g8y/r8y系列云服务器活动价格</h3>
c8y、g8y、r8y实例云服务器属于阿里云自研倚天云服务器系列，采用阿里自研倚天710处理器，基于新一代CIPU架构，通过芯片快速路径加速手段完成计算、存储、网络性能的数量级提升，有效应用于云原生、视频编解码、高性能计算、基于CPU的机器学习和游戏服务等场景。
倚天云服务器1年-5年活动价格
<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1年</th>
<th>活动价格2年</th>
<th>活动价格3年</th>
<th>活动价格4年</th>
<th>活动价格5年</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c8y</td>
<td>1核2G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>992.11元</td>
<td>1727.72元</td>
<td>2147.76元</td>
<td>2586.93元</td>
<td>3003.03元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>2核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1545.63元</td>
<td>2650.24元</td>
<td>3231.73元</td>
<td>3755.45元</td>
<td>4233.06元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>4核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2652.65元</td>
<td>4495.28元</td>
<td>5399.65元</td>
<td>6092.51元</td>
<td>6693.12元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>1核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1268.04元</td>
<td>2187.60元</td>
<td>2688.12元</td>
<td>3169.44元</td>
<td>3616.20元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>2核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2097.48元</td>
<td>3570.00元</td>
<td>4312.44元</td>
<td>4920.48元</td>
<td>5459.40元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>4核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>3756.36元</td>
<td>6334.80元</td>
<td>7561.08元</td>
<td>8422.56元</td>
<td>9145.80元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>1核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1563.71元</td>
<td>2680.38元</td>
<td>3267.14元</td>
<td>3793.63元</td>
<td>4273.24元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>2核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2688.82元</td>
<td>4555.57元</td>
<td>5470.48元</td>
<td>6168.86元</td>
<td>6773.49元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>4核32G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>4939.04元</td>
<td>8305.93元</td>
<td>9877.16元</td>
<td>10919.32元</td>
<td>11773.97元</td>
</tr>
</tbody>
</table>
倚天云服务器1M-5M带宽活动价格
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c8y</td>
<td>1核2G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>992.11元</td>
<td>1226.71元</td>
<td>1481.71元</td>
<td>1736.71元</td>
<td>2032.51元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>2核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1545.63元</td>
<td>1780.23元</td>
<td>2035.23元</td>
<td>2290.23元</td>
<td>2586.03元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>4核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2652.65元</td>
<td>2887.25元</td>
<td>3142.25元</td>
<td>3397.25元</td>
<td>3693.05元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>1核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1268.04元</td>
<td>1502.64元</td>
<td>1757.64元</td>
<td>2012.64元</td>
<td>2308.44元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>2核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2097.48元</td>
<td>2332.08元</td>
<td>2587.08元</td>
<td>2842.08元</td>
<td>3137.88元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>4核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>3756.36元</td>
<td>3990.96元</td>
<td>4245.96元</td>
<td>4500.96元</td>
<td>4796.76元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>1核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1563.71元</td>
<td>1798.31元</td>
<td>2053.31元</td>
<td>2308.31元</td>
<td>2604.11元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>2核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2688.82元</td>
<td>2923.42元</td>
<td>3178.42元</td>
<td>3433.42元</td>
<td>3729.22元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>4核32G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>4939.04元</td>
<td>5173.64元</td>
<td>5428.64元</td>
<td>5683.64元</td>
<td>5979.44元</td>
</tr>
</tbody>
</table>
https://upload-images.jianshu.io/upload_images/19316870-716bbee54da521ee.png
<div class="image-caption">八代云服务器活动价格图.png
说明：
通过阿里云不同的活动购买云服务器可选实例规格、带宽及购买时长会有所差异，详细报价参考：
1、轻量应用服务器、通用算力型u1云服务器1M-5M带宽和七代云服务器实时活动价格参考：阿里云服务器新人特惠
2、通用算力型u1云服务器1年-5年价格和倚天云服务器活动价格参考：阿里云百亿补贴活动
<h2>五、阿里云服务器便宜租用方法</h2>
对于用户来说，如果希望租用阿里云服务器时能够获得更好的价格优惠，可以尝试以下方法：
1、选择合适的购买方案
阿里云提供了多种购买方案，包括按量付费、包年包月、预留实例等。根据自身的业务需求和发展情况，选择最合适的购买方案可以让你节省更多的成本。
2、通过官方活动购买
阿里云官方时时刻刻都为大家推出了各种轻量应用服务器及计算型、通用型和内存型云服务器的爆款配置，2023年最低价格只要108元1年，通过官方活动购买可以便宜很多。目前阿里云活动中的云服务器最长支持五年时长，计算型c7/c8y、通用型g7/g8y、内存型r7/r8y等均可以一次性买5年，云服务器续费还是很贵的，所以建议一次性买5年。
3、学会使用购物车结算订单
这是我们在需要购买多个阿里云产品或者一次购买多台阿里云服务器的时候必须要学会使用的技巧，有些用户喜欢先购买一台阿里云服务器之后，再去买第二台，这时候你会发现你无法享受新会员价格了，使用购物车功能可以让你购物车内的所有阿里云产品均享受活动中的价格。
4、购买并使用学生机
未参与过高校学生免费领取ECS活动的用户，通过学生身份认证及续费任务，最多可领取1+6个月免费ECS资源，云服务器配置为2核CPU（Intel(R) Xeon(R)） 2G内存（8269CYDDR4内存） 1M带宽（VPC专有网络） 40G系统盘（高效云盘），详细优惠政策可参考：阿里云高校计划 - 免费学生云服务器
5、建议选择价格更低的地域
不同地域之间的阿里云服务器价格是不一样的，北方地域的用户推荐你可以考虑购买华北 6（乌兰察布）地域的云服务器，如果你是南方用户则可以考虑购买华南 2（河源）地域的云服务器，为什么呢？因为这两个地域的活动价格要明显比其他地域更低，例如我们同样是在阿里云活动中购买通用算力型u1实例4核8G配置1年，此时的价格是2804.71元/1年，如下图所示：
https://upload-images.jianshu.io/upload_images/19316870-3ec31f1a7225a68b.png
<div class="image-caption">2804.71图.png
其实这个价格是华北2 （北京）和华东1 （杭州）等地域的价格，而如果我们选择华南 2（河源）和华北 6（乌兰察布）地域的话，活动价格只要2073.77元/1年，如下图所示：
https://upload-images.jianshu.io/upload_images/19316870-eacdc9d84e178160.png
<div class="image-caption">2073.77图.png
看到了吗？如果我们选择乌兰察布或者河源地域的话，实际购买价格是要比活动展示价格便宜730.94元的，其他配置的云服务器是一样的，大家可在购买之前多比较下不同地域之间的价格差别有多大，然后选择最便宜的地域来购买，从而达到更便宜购买的目的。
6、领取和使用阿里云代金券及优惠券
需要说明的是，阿里云代金券和优惠券并不时时刻刻都有，通常在推出双11、618等大促活动时，一定过会推出各种金额的代金券和优惠券，而在平常，阿里云只会不定期为用户发放一些金额较小（通常为几百元）的代金券和优惠券，下面是阿里云代金券和优惠券各自的领取平台及领取教程。
代金券领取地址为：阿里云官方云小站平台，代金券金额如下图所示：
https://upload-images.jianshu.io/upload_images/19316870-8d6cdb3297cb7197.png
<div class="image-caption">云小站代金券图.png
代金券金额不并固定，不同时期的代金券金额会有所不同，如果碰到大促活动（例如618、双11等）期间，代金券金额是最大的。
阿里云优惠券领取地址：阿里云官网领券中心
不管我们是通过云服务器产品页自定义购买方式购买还是通过阿里云活动快速购买，在最后结算订单时都会看到有一个优惠券的选项，这就说明购买阿里云产品是有优惠券可以使用的，需要我们在购买之前先领取优惠券。一直以来阿里云为了推进和普及阿里云产品做了很多活动，为了帮助广大用户实现低成本使用云计算服务而推出了阿里云优惠券，用户只需进入优惠券页面一键领取，即可享受多达40多款阿里云产品的优惠。
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<div class="image-caption">阿里云2023优惠券图.png
进入优惠券页面后，点击一键领取全部，即可领取多达40多款阿里云产品的优惠券。
综上所示，了解阿里云服务器的收费项目、收费模式、收费标准、最新活动价格及便宜购买方法对用户非常重要。通过了解最新的活动价格，并结合自己的实际需求，可以帮助用户更好地选择和租用阿里云服务器。
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