阿里云服务器价钱参考，云服务器按量与包年包月收费标准及最新活动价格分享
阿里云的价格一直是用户最为关注的，2023年阿里云对于云服务器做出了降价策略，核心产品最高降幅50?同时阿里云根据用户的实际需求，针对云服务器收费模式推出按量付费与包年包月两种收费模式，另外阿里云还随时会推出一些特惠云服务器，以很低的价格助力用户优惠购买阿里云服务器产品。针对用户比较关心的阿里云价格问题，本文为大家分享阿里云服务器按量与包年包月收费标准及最新活动价格，以供参考。<h2>一、阿里云定价策略</h2>
阿里云的定价策略相对灵活，根据用户的实际需求和使用情况进行计费，提供了多种计费方式供用户选择。其中，最常见的计费方式有按量计费和包年包月计费。按量计费是根据实际使用的资源量来计费，用户可以根据需要灵活调整资源的规模和数量，避免了不必要的资源浪费。而包年包月计费则是用户预付一定期限的费用，获得一定规模的资源使用权，适合长期和稳定的业务需求。
<h2>二、阿里云服务器收费标准</h2>
阿里云的定价结构相对透明，用户可以通过阿里云官网随时查看各种云产品的收费标准，阿里云根据不同的产品和服务提供了详细的价格列表，用户可以清晰地了解到每个云产品或服务的价格。作为用户最为关心的云服务器产品，阿里云提供了弹性计算服务，用户可以根据自己的需要随时调整资源配置和规模，减少了不必要的额外开支。下面是2023年截至目前，最新的收费标准情况，以表格形式展示给大家。
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>ARM 内存型 ecs.r8y.small</td>
<td>1</td>
<td>8</td>
<td>0.271293</td>
<td>130.22</td>
<td>130.22</td>
<td>93.76</td>
<td>61.2</td>
<td>41.67</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.large</td>
<td>2</td>
<td>16</td>
<td>0.542587</td>
<td>260.44</td>
<td>260.44</td>
<td>187.52</td>
<td>122.41</td>
<td>83.34</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.085175</td>
<td>520.88</td>
<td>520.88</td>
<td>375.04</td>
<td>244.82</td>
<td>166.68</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.17035</td>
<td>1041.77</td>
<td>1041.77</td>
<td>750.07</td>
<td>489.63</td>
<td>333.37</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.3407</td>
<td>2083.54</td>
<td>2083.54</td>
<td>1500.15</td>
<td>979.26</td>
<td>666.73</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.8xlarge</td>
<td>32</td>
<td>256</td>
<td>8.6814</td>
<td>4167.07</td>
<td>4167.07</td>
<td>3000.29</td>
<td>1958.52</td>
<td>1333.46</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.16xlarge</td>
<td>64</td>
<td>512</td>
<td>17.3628</td>
<td>8334.14</td>
<td>8334.14</td>
<td>6000.58</td>
<td>3917.05</td>
<td>2666.93</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.small</td>
<td>1</td>
<td>4</td>
<td>0.2</td>
<td>96</td>
<td>96</td>
<td>69.12</td>
<td>45.12</td>
<td>30.72</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.large</td>
<td>2</td>
<td>8</td>
<td>0.4</td>
<td>192</td>
<td>192</td>
<td>138.24</td>
<td>90.24</td>
<td>61.44</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.8</td>
<td>384</td>
<td>384</td>
<td>276.48</td>
<td>180.48</td>
<td>122.88</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.6</td>
<td>768</td>
<td>768</td>
<td>552.96</td>
<td>360.96</td>
<td>245.76</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.2</td>
<td>1536</td>
<td>1536</td>
<td>1105.92</td>
<td>721.92</td>
<td>491.52</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.8xlarge</td>
<td>32</td>
<td>128</td>
<td>6.4</td>
<td>3072</td>
<td>3072</td>
<td>2211.84</td>
<td>1443.84</td>
<td>983.04</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.16xlarge</td>
<td>64</td>
<td>256</td>
<td>12.8</td>
<td>6144</td>
<td>6144</td>
<td>4423.68</td>
<td>2887.68</td>
<td>1966.08</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.small</td>
<td>1</td>
<td>2</td>
<td>0.133466</td>
<td>64.06</td>
<td>64.06</td>
<td>46.13</td>
<td>30.11</td>
<td>20.5</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.large</td>
<td>2</td>
<td>4</td>
<td>0.266933</td>
<td>128.13</td>
<td>128.13</td>
<td>92.25</td>
<td>60.22</td>
<td>41</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.533866</td>
<td>256.26</td>
<td>256.26</td>
<td>184.5</td>
<td>120.44</td>
<td>82</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.067733</td>
<td>512.51</td>
<td>512.51</td>
<td>369.01</td>
<td>240.88</td>
<td>164</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.135466</td>
<td>1025.02</td>
<td>1025.02</td>
<td>738.02</td>
<td>481.76</td>
<td>328.01</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.270933</td>
<td>2050.05</td>
<td>2050.05</td>
<td>1476.03</td>
<td>963.52</td>
<td>656.02</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.16xlarge</td>
<td>64</td>
<td>128</td>
<td>8.541866</td>
<td>4100.1</td>
<td>4100.1</td>
<td>2952.07</td>
<td>1927.05</td>
<td>1312.03</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.large</td>
<td>2</td>
<td>16</td>
<td>0.6797</td>
<td>326.27</td>
<td>326.27</td>
<td>277.33</td>
<td>179.45</td>
<td>123.98</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.3595</td>
<td>652.54</td>
<td>652.54</td>
<td>554.66</td>
<td>358.89</td>
<td>247.96</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.7189</td>
<td>1305.07</td>
<td>1305.07</td>
<td>1109.31</td>
<td>717.79</td>
<td>495.93</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.4378</td>
<td>2610.14</td>
<td>2610.14</td>
<td>2218.62</td>
<td>1435.58</td>
<td>991.85</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.8756</td>
<td>5220.29</td>
<td>5220.29</td>
<td>4437.24</td>
<td>2871.16</td>
<td>1983.71</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.12xlarge</td>
<td>48</td>
<td>384</td>
<td>16.3134</td>
<td>7830.43</td>
<td>7830.43</td>
<td>6655.87</td>
<td>4306.74</td>
<td>2975.56</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>21.7512</td>
<td>10440.58</td>
<td>10440.58</td>
<td>8874.49</td>
<td>5742.32</td>
<td>3967.42</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.24xlarge</td>
<td>96</td>
<td>768</td>
<td>32.6268</td>
<td>15660.86</td>
<td>15660.86</td>
<td>13311.73</td>
<td>8613.47</td>
<td>5951.13</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.large</td>
<td>2</td>
<td>4</td>
<td>0.3872</td>
<td>185.86</td>
<td>185.86</td>
<td>157.98</td>
<td>102.22</td>
<td>70.63</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.7744</td>
<td>371.71</td>
<td>371.71</td>
<td>315.95</td>
<td>204.44</td>
<td>141.25</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.5488</td>
<td>743.42</td>
<td>743.42</td>
<td>631.91</td>
<td>408.88</td>
<td>282.5</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.0976</td>
<td>1486.85</td>
<td>1486.85</td>
<td>1263.82</td>
<td>817.77</td>
<td>565</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.1952</td>
<td>2973.7</td>
<td>2973.7</td>
<td>2527.64</td>
<td>1635.53</td>
<td>1130</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.12xlarge</td>
<td>48</td>
<td>96</td>
<td>9.2928</td>
<td>4460.54</td>
<td>4460.54</td>
<td>3791.46</td>
<td>2453.3</td>
<td>1695.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>12.3904</td>
<td>5947.39</td>
<td>5947.39</td>
<td>5055.28</td>
<td>3271.07</td>
<td>2260.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.24xlarge</td>
<td>96</td>
<td>192</td>
<td>18.5856</td>
<td>8921.09</td>
<td>8921.09</td>
<td>7582.93</td>
<td>4906.6</td>
<td>3390.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>24.7808</td>
<td>11894.78</td>
<td>11894.78</td>
<td>10110.57</td>
<td>6542.13</td>
<td>4520.02</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.48xlarge</td>
<td>192</td>
<td>384</td>
<td>37.1712</td>
<td>17842.18</td>
<td>17842.18</td>
<td>15165.85</td>
<td>9813.2</td>
<td>6780.03</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.large</td>
<td>2</td>
<td>8</td>
<td>0.5104</td>
<td>244.99</td>
<td>244.99</td>
<td>208.24</td>
<td>134.75</td>
<td>93.1</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0208</td>
<td>489.98</td>
<td>489.98</td>
<td>416.49</td>
<td>269.49</td>
<td>186.19</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.0416</td>
<td>979.97</td>
<td>979.97</td>
<td>832.97</td>
<td>538.98</td>
<td>372.39</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.0832</td>
<td>1959.94</td>
<td>1959.94</td>
<td>1665.95</td>
<td>1077.96</td>
<td>744.78</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.1664</td>
<td>3919.87</td>
<td>3919.87</td>
<td>3331.89</td>
<td>2155.93</td>
<td>1489.55</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.12xlarge</td>
<td>48</td>
<td>192</td>
<td>12.2496</td>
<td>5879.81</td>
<td>5879.81</td>
<td>4997.84</td>
<td>3233.89</td>
<td>2234.33</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>16.3328</td>
<td>7839.74</td>
<td>7839.74</td>
<td>6663.78</td>
<td>4311.86</td>
<td>2979.1</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.24xlarge</td>
<td>96</td>
<td>384</td>
<td>24.4992</td>
<td>11759.62</td>
<td>11759.62</td>
<td>9995.67</td>
<td>6467.79</td>
<td>4468.65</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>32.6656</td>
<td>15679.49</td>
<td>15679.49</td>
<td>13327.57</td>
<td>8623.72</td>
<td>5958.21</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.48xlarge</td>
<td>192</td>
<td>768</td>
<td>48.9984</td>
<td>23519.23</td>
<td>23519.23</td>
<td>19991.35</td>
<td>12935.58</td>
<td>8937.31</td>
</tr>
<tr>
<td>内存型 ecs.r8i.large</td>
<td>2</td>
<td>16</td>
<td>0.731</td>
<td>350.9</td>
<td>350.9</td>
<td>298.26</td>
<td>192.99</td>
<td>133.34</td>
</tr>
<tr>
<td>内存型 ecs.r8i.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.4621</td>
<td>701.79</td>
<td>701.79</td>
<td>596.52</td>
<td>385.98</td>
<td>266.68</td>
</tr>
<tr>
<td>内存型 ecs.r8i.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.9241</td>
<td>1403.58</td>
<td>1403.58</td>
<td>1193.04</td>
<td>771.97</td>
<td>533.36</td>
</tr>
<tr>
<td>内存型 ecs.r8i.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.3862</td>
<td>2105.37</td>
<td>2105.37</td>
<td>1789.57</td>
<td>1157.96</td>
<td>800.04</td>
</tr>
<tr>
<td>内存型 ecs.r8i.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.8483</td>
<td>2807.16</td>
<td>2807.16</td>
<td>2386.09</td>
<td>1543.94</td>
<td>1066.72</td>
</tr>
<tr>
<td>内存型 ecs.r8i.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.7724</td>
<td>4210.75</td>
<td>4210.75</td>
<td>3579.13</td>
<td>2315.91</td>
<td>1600.08</td>
</tr>
<tr>
<td>内存型 ecs.r8i.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.6965</td>
<td>5614.33</td>
<td>5614.33</td>
<td>4772.18</td>
<td>3087.88</td>
<td>2133.44</td>
</tr>
<tr>
<td>内存型 ecs.r8i.12xlarge</td>
<td>48</td>
<td>384</td>
<td>17.5448</td>
<td>8421.49</td>
<td>8421.49</td>
<td>7158.27</td>
<td>4631.82</td>
<td>3200.17</td>
</tr>
<tr>
<td>计算型 ecs.c8i.large</td>
<td>2</td>
<td>4</td>
<td>0.4281</td>
<td>205.48</td>
<td>205.48</td>
<td>174.66</td>
<td>113.01</td>
<td>78.08</td>
</tr>
<tr>
<td>计算型 ecs.c8i.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.8562</td>
<td>410.96</td>
<td>410.96</td>
<td>349.32</td>
<td>226.03</td>
<td>156.17</td>
</tr>
<tr>
<td>计算型 ecs.c8i.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.7123</td>
<td>821.92</td>
<td>821.92</td>
<td>698.63</td>
<td>452.06</td>
<td>312.33</td>
</tr>
<tr>
<td>计算型 ecs.c8i.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.5685</td>
<td>1232.88</td>
<td>1232.88</td>
<td>1047.95</td>
<td>678.09</td>
<td>468.5</td>
</tr>
<tr>
<td>计算型 ecs.c8i.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.4247</td>
<td>1643.84</td>
<td>1643.84</td>
<td>1397.27</td>
<td>904.11</td>
<td>624.66</td>
</tr>
<tr>
<td>计算型 ecs.c8i.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.137</td>
<td>2465.76</td>
<td>2465.76</td>
<td>2095.9</td>
<td>1356.17</td>
<td>936.99</td>
</tr>
<tr>
<td>计算型 ecs.c8i.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.8493</td>
<td>3287.68</td>
<td>3287.68</td>
<td>2794.53</td>
<td>1808.23</td>
<td>1249.32</td>
</tr>
<tr>
<td>计算型 ecs.c8i.12xlarge</td>
<td>48</td>
<td>96</td>
<td>10.274</td>
<td>4931.53</td>
<td>4931.53</td>
<td>4191.8</td>
<td>2712.34</td>
<td>1873.98</td>
</tr>
<tr>
<td>计算型 ecs.c8i.16xlarge</td>
<td>64</td>
<td>128</td>
<td>13.6987</td>
<td>6575.37</td>
<td>6575.37</td>
<td>5589.06</td>
<td>3616.45</td>
<td>2498.64</td>
</tr>
<tr>
<td>计算型 ecs.c8i.24xlarge</td>
<td>96</td>
<td>192</td>
<td>20.548</td>
<td>9863.05</td>
<td>9863.05</td>
<td>8383.59</td>
<td>5424.68</td>
<td>3747.96</td>
</tr>
<tr>
<td>通用型 ecs.g8i.large</td>
<td>2</td>
<td>8</td>
<td>0.5494</td>
<td>263.72</td>
<td>263.72</td>
<td>224.16</td>
<td>145.04</td>
<td>100.21</td>
</tr>
<tr>
<td>通用型 ecs.g8i.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0988</td>
<td>527.44</td>
<td>527.44</td>
<td>448.32</td>
<td>290.09</td>
<td>200.43</td>
</tr>
<tr>
<td>通用型 ecs.g8i.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.1977</td>
<td>1054.87</td>
<td>1054.87</td>
<td>896.64</td>
<td>580.18</td>
<td>400.85</td>
</tr>
<tr>
<td>通用型 ecs.g8i.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.2965</td>
<td>1582.31</td>
<td>1582.31</td>
<td>1344.96</td>
<td>870.27</td>
<td>601.28</td>
</tr>
<tr>
<td>通用型 ecs.g8i.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.3953</td>
<td>2109.74</td>
<td>2109.74</td>
<td>1793.28</td>
<td>1160.36</td>
<td>801.7</td>
</tr>
<tr>
<td>通用型 ecs.g8i.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.593</td>
<td>3164.62</td>
<td>3164.62</td>
<td>2689.92</td>
<td>1740.54</td>
<td>1202.55</td>
</tr>
<tr>
<td>通用型 ecs.g8i.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.7906</td>
<td>4219.49</td>
<td>4219.49</td>
<td>3586.57</td>
<td>2320.72</td>
<td>1603.41</td>
</tr>
<tr>
<td>通用型 ecs.g8i.12xlarge</td>
<td>48</td>
<td>192</td>
<td>13.1859</td>
<td>6329.23</td>
<td>6329.23</td>
<td>5379.85</td>
<td>3481.08</td>
<td>2405.11</td>
</tr>
<tr>
<td>通用型 ecs.g8i.16xlarge</td>
<td>64</td>
<td>256</td>
<td>17.5812</td>
<td>8438.98</td>
<td>8438.98</td>
<td>7173.13</td>
<td>4641.44</td>
<td>3206.81</td>
</tr>
<tr>
<td>通用型 ecs.g8i.24xlarge</td>
<td>96</td>
<td>384</td>
<td>26.3718</td>
<td>12658.46</td>
<td>12658.46</td>
<td>10759.69</td>
<td>6962.15</td>
<td>4810.22</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.large</td>
<td>2</td>
<td>8</td>
<td>0.579166</td>
<td>278</td>
<td>278</td>
<td>236.3</td>
<td>152.9</td>
<td>105.64</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.158333</td>
<td>556</td>
<td>556</td>
<td>472.6</td>
<td>305.8</td>
<td>211.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.316666</td>
<td>1112</td>
<td>1112</td>
<td>945.2</td>
<td>611.6</td>
<td>422.56</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.475</td>
<td>1668</td>
<td>1668</td>
<td>1417.8</td>
<td>917.4</td>
<td>633.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.633333</td>
<td>2224</td>
<td>2224</td>
<td>1890.4</td>
<td>1223.2</td>
<td>845.12</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.95</td>
<td>3336</td>
<td>3336</td>
<td>2835.6</td>
<td>1834.8</td>
<td>1267.68</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.266666</td>
<td>4448</td>
<td>4448</td>
<td>3780.8</td>
<td>2446.4</td>
<td>1690.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.12xlarge</td>
<td>48</td>
<td>192</td>
<td>13.9</td>
<td>6672</td>
<td>6672</td>
<td>5671.2</td>
<td>3669.6</td>
<td>2535.36</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.24xlarge</td>
<td>96</td>
<td>384</td>
<td>27.8</td>
<td>13344</td>
<td>13344</td>
<td>11342.4</td>
<td>7339.2</td>
<td>5070.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>0.470833</td>
<td>226</td>
<td>226</td>
<td>192.1</td>
<td>124.3</td>
<td>85.88</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.941666</td>
<td>452</td>
<td>452</td>
<td>384.2</td>
<td>248.6</td>
<td>171.76</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.883333</td>
<td>904</td>
<td>904</td>
<td>768.4</td>
<td>497.2</td>
<td>343.52</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.825</td>
<td>1356</td>
<td>1356</td>
<td>1152.6</td>
<td>745.8</td>
<td>515.28</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.766666</td>
<td>1808</td>
<td>1808</td>
<td>1536.8</td>
<td>994.4</td>
<td>687.04</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.65</td>
<td>2712</td>
<td>2712</td>
<td>2305.2</td>
<td>1491.6</td>
<td>1030.56</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.533333</td>
<td>3616</td>
<td>3616</td>
<td>3073.6</td>
<td>1988.8</td>
<td>1374.08</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.12xlarge</td>
<td>48</td>
<td>96</td>
<td>11.3</td>
<td>5424</td>
<td>5424</td>
<td>4610.4</td>
<td>2983.2</td>
<td>2061.12</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.24xlarge</td>
<td>96</td>
<td>192</td>
<td>22.6</td>
<td>10848</td>
<td>10848</td>
<td>9220.8</td>
<td>5966.4</td>
<td>4122.24</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.large</td>
<td>2</td>
<td>16</td>
<td>0.766666</td>
<td>368</td>
<td>368</td>
<td>312.8</td>
<td>202.4</td>
<td>139.84</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.533333</td>
<td>736</td>
<td>736</td>
<td>625.6</td>
<td>404.8</td>
<td>279.68</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.066666</td>
<td>1472</td>
<td>1472</td>
<td>1251.2</td>
<td>809.6</td>
<td>559.36</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.6</td>
<td>2208</td>
<td>2208</td>
<td>1876.8</td>
<td>1214.4</td>
<td>839.04</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.133333</td>
<td>2944</td>
<td>2944</td>
<td>2502.4</td>
<td>1619.2</td>
<td>1118.72</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>9.2</td>
<td>4416</td>
<td>4416</td>
<td>3753.6</td>
<td>2428.8</td>
<td>1678.08</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.266666</td>
<td>5888</td>
<td>5888</td>
<td>5004.8</td>
<td>3238.4</td>
<td>2237.44</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.12xlarge</td>
<td>48</td>
<td>384</td>
<td>18.4</td>
<td>8832</td>
<td>8832</td>
<td>7507.2</td>
<td>4857.6</td>
<td>3356.16</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.24xlarge</td>
<td>96</td>
<td>768</td>
<td>36.8</td>
<td>17664</td>
<td>17664</td>
<td>15014.4</td>
<td>9715.2</td>
<td>6712.32</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.large</td>
<td>2</td>
<td>8</td>
<td>0.725</td>
<td>348</td>
<td>348</td>
<td>295.8</td>
<td>191.4</td>
<td>132.24</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.45</td>
<td>696</td>
<td>696</td>
<td>591.6</td>
<td>382.8</td>
<td>264.48</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.9</td>
<td>1392</td>
<td>1392</td>
<td>1183.2</td>
<td>765.6</td>
<td>528.96</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.8</td>
<td>2784</td>
<td>2784</td>
<td>2366.4</td>
<td>1531.2</td>
<td>1057.92</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.6</td>
<td>5568</td>
<td>5568</td>
<td>4732.8</td>
<td>3062.4</td>
<td>2115.84</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.12xlarge</td>
<td>48</td>
<td>192</td>
<td>17.4</td>
<td>8352</td>
<td>8352</td>
<td>7099.2</td>
<td>4593.6</td>
<td>3173.76</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.24xlarge</td>
<td>96</td>
<td>384</td>
<td>34.8</td>
<td>16704</td>
<td>16704</td>
<td>14198.4</td>
<td>9187.2</td>
<td>6347.52</td>
</tr>
<tr>
<td>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.52325</td>
<td>251.16</td>
<td>251.16</td>
<td>180.84</td>
<td>118.05</td>
<td>80.37</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0465</td>
<td>502.32</td>
<td>502.32</td>
<td>361.67</td>
<td>236.09</td>
<td>160.74</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.093</td>
<td>1004.64</td>
<td>1004.64</td>
<td>723.34</td>
<td>472.18</td>
<td>321.48</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.1395</td>
<td>1506.96</td>
<td>1506.96</td>
<td>1085.01</td>
<td>708.27</td>
<td>482.23</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.186</td>
<td>2009.28</td>
<td>2009.28</td>
<td>1446.68</td>
<td>944.36</td>
<td>642.97</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.279</td>
<td>3013.92</td>
<td>3013.92</td>
<td>2170.02</td>
<td>1416.54</td>
<td>964.45</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.372</td>
<td>4018.56</td>
<td>4018.56</td>
<td>2893.36</td>
<td>1888.72</td>
<td>1285.94</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>16.744</td>
<td>8037.12</td>
<td>8037.12</td>
<td>5786.73</td>
<td>3777.45</td>
<td>2571.88</td>
</tr>
<tr>
<td>通用型 ecs.g7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>33.488</td>
<td>16074.24</td>
<td>16074.24</td>
<td>11573.45</td>
<td>7554.89</td>
<td>5143.76</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>0.696221</td>
<td>334.19</td>
<td>334.19</td>
<td>240.61</td>
<td>157.07</td>
<td>106.94</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.392442</td>
<td>668.37</td>
<td>668.37</td>
<td>481.23</td>
<td>314.13</td>
<td>213.88</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.784885</td>
<td>1336.74</td>
<td>1336.74</td>
<td>962.46</td>
<td>628.27</td>
<td>427.76</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.177327</td>
<td>2005.12</td>
<td>2005.12</td>
<td>1443.69</td>
<td>942.41</td>
<td>641.64</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.56977</td>
<td>2673.49</td>
<td>2673.49</td>
<td>1924.91</td>
<td>1256.54</td>
<td>855.52</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.354655</td>
<td>4010.23</td>
<td>4010.23</td>
<td>2887.37</td>
<td>1884.81</td>
<td>1283.28</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.13954</td>
<td>5346.98</td>
<td>5346.98</td>
<td>3849.83</td>
<td>2513.08</td>
<td>1711.03</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>22.27908</td>
<td>10693.96</td>
<td>10693.96</td>
<td>7699.65</td>
<td>5026.16</td>
<td>3422.07</td>
</tr>
<tr>
<td>内存型 ecs.r7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>44.55816</td>
<td>21387.92</td>
<td>21387.92</td>
<td>15399.3</td>
<td>10052.32</td>
<td>6844.13</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.407698</td>
<td>195.7</td>
<td>195.7</td>
<td>140.9</td>
<td>91.98</td>
<td>62.62</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.815397</td>
<td>391.39</td>
<td>391.39</td>
<td>281.8</td>
<td>183.95</td>
<td>125.25</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.630795</td>
<td>782.78</td>
<td>782.78</td>
<td>563.6</td>
<td>367.91</td>
<td>250.49</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.446193</td>
<td>1174.17</td>
<td>1174.17</td>
<td>845.41</td>
<td>551.86</td>
<td>375.74</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.261591</td>
<td>1565.56</td>
<td>1565.56</td>
<td>1127.21</td>
<td>735.82</td>
<td>500.98</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.892387</td>
<td>2348.35</td>
<td>2348.35</td>
<td>1690.81</td>
<td>1103.72</td>
<td>751.47</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.523183</td>
<td>3131.13</td>
<td>3131.13</td>
<td>2254.41</td>
<td>1471.63</td>
<td>1001.96</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>128</td>
<td>13.046366</td>
<td>6262.26</td>
<td>6262.26</td>
<td>4508.82</td>
<td>2943.26</td>
<td>2003.92</td>
</tr>
<tr>
<td>计算型 ecs.c7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>26.092733</td>
<td>12524.51</td>
<td>12524.51</td>
<td>9017.65</td>
<td>5886.52</td>
<td>4007.84</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.293</td>
<td>140.8</td>
<td>140.8</td>
<td>119.68</td>
<td>77.44</td>
<td>53.5</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.587</td>
<td>281.6</td>
<td>281.6</td>
<td>239.36</td>
<td>154.88</td>
<td>107.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>478.72</td>
<td>309.76</td>
<td>214.02</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.347</td>
<td>1126.4</td>
<td>1126.4</td>
<td>957.44</td>
<td>619.52</td>
<td>428.03</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1914.88</td>
<td>1239.04</td>
<td>856.06</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a-nps1.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1914.88</td>
<td>1239.04</td>
<td>856.06</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>3829.76</td>
<td>2478.08</td>
<td>1712.13</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a-nps1.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>3829.76</td>
<td>2478.08</td>
<td>1712.13</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>18.773</td>
<td>9011.2</td>
<td>9011.2</td>
<td>7659.52</td>
<td>4956.16</td>
<td>3424.26</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>0.44</td>
<td>211.2</td>
<td>211.2</td>
<td>179.52</td>
<td>116.16</td>
<td>80.26</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.88</td>
<td>422.4</td>
<td>422.4</td>
<td>359.04</td>
<td>232.32</td>
<td>160.51</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>718.08</td>
<td>464.64</td>
<td>321.02</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.52</td>
<td>1689.6</td>
<td>1689.6</td>
<td>1436.16</td>
<td>929.28</td>
<td>642.05</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2872.32</td>
<td>1858.56</td>
<td>1284.1</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a-nps1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2872.32</td>
<td>1858.56</td>
<td>1284.1</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>5744.64</td>
<td>3717.12</td>
<td>2568.19</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a-nps1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>5744.64</td>
<td>3717.12</td>
<td>2568.19</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>28.16</td>
<td>13516.8</td>
<td>13516.8</td>
<td>11489.28</td>
<td>7434.24</td>
<td>5136.38</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>0.596</td>
<td>286.2</td>
<td>286.2</td>
<td>243.27</td>
<td>157.41</td>
<td>108.76</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.192</td>
<td>572.4</td>
<td>572.4</td>
<td>486.54</td>
<td>314.82</td>
<td>217.51</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>973.08</td>
<td>629.64</td>
<td>435.02</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1946.16</td>
<td>1259.28</td>
<td>870.05</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>3892.32</td>
<td>2518.56</td>
<td>1740.1</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>19.08</td>
<td>9158.4</td>
<td>9158.4</td>
<td>7784.64</td>
<td>5037.12</td>
<td>3480.19</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>38.16</td>
<td>18316.8</td>
<td>18316.8</td>
<td>15569.28</td>
<td>10074.24</td>
<td>6960.38</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>9.5326</td>
<td>4575.66</td>
<td>4575.66</td>
<td>3889.31</td>
<td>2516.61</td>
<td>1738.75</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c16g1.4xlarge</td>
<td>16</td>
<td>60</td>
<td>10.0934</td>
<td>4844.81</td>
<td>4844.81</td>
<td>4118.09</td>
<td>2664.65</td>
<td>1841.03</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.8xlarge</td>
<td>32</td>
<td>188</td>
<td>13.3083</td>
<td>6387.98</td>
<td>6387.98</td>
<td>5429.78</td>
<td>3513.39</td>
<td>2427.43</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c48g1.12xlarge</td>
<td>48</td>
<td>310</td>
<td>17.944</td>
<td>8613</td>
<td>8613</td>
<td>7321.05</td>
<td>4737.15</td>
<td>3272.94</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c56g1.14xlarge</td>
<td>56</td>
<td>346</td>
<td>21.533</td>
<td>10335.6</td>
<td>10335.6</td>
<td>8785.26</td>
<td>5684.58</td>
<td>3927.53</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.16xlarge</td>
<td>64</td>
<td>376</td>
<td>26.6166</td>
<td>12775.95</td>
<td>12775.95</td>
<td>10859.56</td>
<td>7026.77</td>
<td>4854.86</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.32xlarge</td>
<td>128</td>
<td>752</td>
<td>53.2331</td>
<td>25551.9</td>
<td>25551.9</td>
<td>21719.12</td>
<td>14053.55</td>
<td>9709.72</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.large</td>
<td>2</td>
<td>8</td>
<td>0.66125</td>
<td>317.4</td>
<td>317.4</td>
<td>269.79</td>
<td>174.57</td>
<td>120.61</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.3225</td>
<td>634.8</td>
<td>634.8</td>
<td>539.58</td>
<td>349.14</td>
<td>241.22</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.645</td>
<td>1269.6</td>
<td>1269.6</td>
<td>1079.16</td>
<td>698.28</td>
<td>482.45</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.9675</td>
<td>1904.4</td>
<td>1904.4</td>
<td>1618.74</td>
<td>1047.42</td>
<td>723.67</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.29</td>
<td>2539.2</td>
<td>2539.2</td>
<td>2158.32</td>
<td>1396.56</td>
<td>964.9</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.935</td>
<td>3808.8</td>
<td>3808.8</td>
<td>3237.48</td>
<td>2094.84</td>
<td>1447.34</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.58</td>
<td>5078.4</td>
<td>5078.4</td>
<td>4316.64</td>
<td>2793.12</td>
<td>1929.79</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.16xlarge</td>
<td>64</td>
<td>256</td>
<td>21.16</td>
<td>10156.8</td>
<td>10156.8</td>
<td>8633.28</td>
<td>5586.24</td>
<td>3859.58</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2.xlarge</td>
<td>4</td>
<td>15.5</td>
<td>1.866512</td>
<td>895.93</td>
<td>895.93</td>
<td>761.54</td>
<td>492.76</td>
<td>340.45</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2s.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.827</td>
<td>877.15</td>
<td>877.15</td>
<td>745.57</td>
<td>482.43</td>
<td>333.32</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>3.117293</td>
<td>1496.3</td>
<td>1496.3</td>
<td>1271.86</td>
<td>822.97</td>
<td>568.59</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.078</td>
<td>1477.52</td>
<td>1477.52</td>
<td>1255.89</td>
<td>812.64</td>
<td>561.46</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8.4xlarge</td>
<td>16</td>
<td>62</td>
<td>5.618855</td>
<td>2697.05</td>
<td>2697.05</td>
<td>2292.49</td>
<td>1483.38</td>
<td>1024.88</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8s.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.58</td>
<td>2678.27</td>
<td>2678.27</td>
<td>2276.53</td>
<td>1473.05</td>
<td>1017.74</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>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>0.39</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>突发性能型 ecs.t6-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.03</td>
<td>8.5</td>
<td>8.5</td>
<td>7.23</td>
<td>4.68</td>
<td>3.23</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.059</td>
<td>17</td>
<td>17</td>
<td>14.45</td>
<td>9.35</td>
<td>6.46</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.118</td>
<td>34</td>
<td>34</td>
<td>28.9</td>
<td>18.7</td>
<td>12.92</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.236</td>
<td>68</td>
<td>68</td>
<td>57.8</td>
<td>37.4</td>
<td>25.84</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.472</td>
<td>136</td>
<td>136</td>
<td>115.6</td>
<td>74.8</td>
<td>51.68</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.944</td>
<td>272</td>
<td>272</td>
<td>231.2</td>
<td>149.6</td>
<td>103.36</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.889</td>
<td>544</td>
<td>544</td>
<td>462.4</td>
<td>299.2</td>
<td>206.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.447916</td>
<td>215</td>
<td>215</td>
<td>182.75</td>
<td>118.25</td>
<td>81.7</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.895833</td>
<td>430</td>
<td>430</td>
<td>365.5</td>
<td>236.5</td>
<td>163.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.791666</td>
<td>860</td>
<td>860</td>
<td>731</td>
<td>473</td>
<td>326.8</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.6875</td>
<td>1290</td>
<td>1290</td>
<td>1096.5</td>
<td>709.5</td>
<td>490.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.583333</td>
<td>1720</td>
<td>1720</td>
<td>1462</td>
<td>946</td>
<td>653.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.375</td>
<td>2580</td>
<td>2580</td>
<td>2193</td>
<td>1419</td>
<td>980.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.166666</td>
<td>3440</td>
<td>3440</td>
<td>2924</td>
<td>1892</td>
<td>1307.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>8.958333</td>
<td>4300</td>
<td>4300</td>
<td>3655</td>
<td>2365</td>
<td>1634</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>14.333333</td>
<td>6880</td>
<td>6880</td>
<td>5848</td>
<td>3784</td>
<td>2614.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>17.916666</td>
<td>8600</td>
<td>8600</td>
<td>7310</td>
<td>4730</td>
<td>3268</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.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>高主频通用型 ecs.hfg6.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>高主频通用型 ecs.hfg6.2xlarge</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>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.3</td>
<td>1584</td>
<td>1584</td>
<td>1346.4</td>
<td>871.2</td>
<td>601.92</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</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>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.6</td>
<td>3168</td>
<td>3168</td>
<td>2692.8</td>
<td>1742.4</td>
<td>1203.84</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</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>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>11</td>
<td>5280</td>
<td>5280</td>
<td>4488</td>
<td>2904</td>
<td>2006.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>17.6</td>
<td>8448</td>
<td>8448</td>
<td>7180.8</td>
<td>4646.4</td>
<td>3210.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>22</td>
<td>10560</td>
<td>10560</td>
<td>8976</td>
<td>5808</td>
<td>4012.8</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>0.729166</td>
<td>350</td>
<td>350</td>
<td>297.5</td>
<td>192.5</td>
<td>133</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.458333</td>
<td>700</td>
<td>700</td>
<td>595</td>
<td>385</td>
<td>266</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.916666</td>
<td>1400</td>
<td>1400</td>
<td>1190</td>
<td>770</td>
<td>532</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.375</td>
<td>2100</td>
<td>2100</td>
<td>1785</td>
<td>1155</td>
<td>798</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.833333</td>
<td>2800</td>
<td>2800</td>
<td>2380</td>
<td>1540</td>
<td>1064</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.75</td>
<td>4200</td>
<td>4200</td>
<td>3570</td>
<td>2310</td>
<td>1596</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.666666</td>
<td>5600</td>
<td>5600</td>
<td>4760</td>
<td>3080</td>
<td>2128</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>14.583333</td>
<td>7000</td>
<td>7000</td>
<td>5950</td>
<td>3850</td>
<td>2660</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>23.333333</td>
<td>11200</td>
<td>11200</td>
<td>9520</td>
<td>6160</td>
<td>4256</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>29.166666</td>
<td>14000</td>
<td>14000</td>
<td>11900</td>
<td>7700</td>
<td>5320</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>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>共享标准型 ecs.s6-c1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.115</td>
<td>33</td>
<td>33</td>
<td>28.05</td>
<td>18.15</td>
<td>12.54</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.208</td>
<td>60</td>
<td>60</td>
<td>51</td>
<td>33</td>
<td>22.8</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.small</td>
<td>1</td>
<td>4</td>
<td>0.312</td>
<td>90</td>
<td>90</td>
<td>76.5</td>
<td>49.5</td>
<td>34.2</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.417</td>
<td>120</td>
<td>120</td>
<td>102</td>
<td>66</td>
<td>45.6</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.625</td>
<td>180</td>
<td>180</td>
<td>153</td>
<td>99</td>
<td>68.4</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.833</td>
<td>240</td>
<td>240</td>
<td>204</td>
<td>132</td>
<td>91.2</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.25</td>
<td>360</td>
<td>360</td>
<td>306</td>
<td>198</td>
<td>136.8</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>720</td>
<td>612</td>
<td>396</td>
<td>273.6</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.667</td>
<td>480</td>
<td>480</td>
<td>408</td>
<td>264</td>
<td>182.4</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>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>安全增强计算型 ecs.c6t.large</td>
<td>2</td>
<td>4</td>
<td>0.422916</td>
<td>203</td>
<td>203</td>
<td>172.55</td>
<td>111.65</td>
<td>77.14</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.845833</td>
<td>406</td>
<td>406</td>
<td>345.1</td>
<td>223.3</td>
<td>154.28</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.691666</td>
<td>812</td>
<td>812</td>
<td>690.2</td>
<td>446.6</td>
<td>308.56</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.383333</td>
<td>1624</td>
<td>1624</td>
<td>1380.4</td>
<td>893.2</td>
<td>617.12</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.764583</td>
<td>3247</td>
<td>3247</td>
<td>2759.95</td>
<td>1785.85</td>
<td>1233.86</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.13xlarge</td>
<td>52</td>
<td>96</td>
<td>10.991666</td>
<td>5276</td>
<td>5276</td>
<td>4484.6</td>
<td>2901.8</td>
<td>2004.88</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.26xlarge</td>
<td>104</td>
<td>192</td>
<td>21.983333</td>
<td>10552</td>
<td>10552</td>
<td>8969.2</td>
<td>5803.6</td>
<td>4009.76</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.large</td>
<td>2</td>
<td>4</td>
<td>0.293</td>
<td>140.8</td>
<td>140.8</td>
<td>119.68</td>
<td>77.44</td>
<td>53.5</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.587</td>
<td>281.6</td>
<td>281.6</td>
<td>239.36</td>
<td>154.88</td>
<td>107.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>478.72</td>
<td>309.76</td>
<td>214.02</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.347</td>
<td>1126.4</td>
<td>1126.4</td>
<td>957.44</td>
<td>619.52</td>
<td>428.03</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.693</td>
<td>2252.8</td>
<td>2252.8</td>
<td>1914.88</td>
<td>1239.04</td>
<td>856.06</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>9.387</td>
<td>4505.6</td>
<td>4505.6</td>
<td>3829.76</td>
<td>2478.08</td>
<td>1712.13</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>18.773</td>
<td>9011.2</td>
<td>9011.2</td>
<td>7659.52</td>
<td>4956.16</td>
<td>3424.26</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.large</td>
<td>2</td>
<td>8</td>
<td>0.44</td>
<td>211.2</td>
<td>211.2</td>
<td>179.52</td>
<td>116.16</td>
<td>80.26</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.88</td>
<td>422.4</td>
<td>422.4</td>
<td>359.04</td>
<td>232.32</td>
<td>160.51</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>718.08</td>
<td>464.64</td>
<td>321.02</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.52</td>
<td>1689.6</td>
<td>1689.6</td>
<td>1436.16</td>
<td>929.28</td>
<td>642.05</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.04</td>
<td>3379.2</td>
<td>3379.2</td>
<td>2872.32</td>
<td>1858.56</td>
<td>1284.1</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.08</td>
<td>6758.4</td>
<td>6758.4</td>
<td>5744.64</td>
<td>3717.12</td>
<td>2568.19</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>28.16</td>
<td>13516.8</td>
<td>13516.8</td>
<td>11489.28</td>
<td>7434.24</td>
<td>5136.38</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m4-vws.xlarge</td>
<td>4</td>
<td>23</td>
<td>3.273719</td>
<td>1571.39</td>
<td>1571.39</td>
<td>1335.68</td>
<td>864.26</td>
<td>597.13</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m8-vws.2xlarge</td>
<td>10</td>
<td>46</td>
<td>5.909491</td>
<td>2836.56</td>
<td>2836.56</td>
<td>2411.07</td>
<td>1560.11</td>
<td>1077.89</td>
</tr>
<tr>
<td>轻量级GPU ecs.vgn6i-m16-vws.5xlarge</td>
<td>20</td>
<td>92</td>
<td>11.171894</td>
<td>5362.51</td>
<td>5362.51</td>
<td>4558.13</td>
<td>2949.38</td>
<td>2037.75</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>经济型 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>经济型 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>经济型 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>经济型 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>经济型 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>本地SSD型 ecs.i3.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.059</td>
<td>988</td>
<td>988</td>
<td>839.8</td>
<td>543.4</td>
<td>375.44</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.117</td>
<td>1976</td>
<td>1976</td>
<td>1679.6</td>
<td>1086.8</td>
<td>750.88</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.234</td>
<td>3952</td>
<td>3952</td>
<td>3359.2</td>
<td>2173.6</td>
<td>1501.76</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.467</td>
<td>7904</td>
<td>7904</td>
<td>6718.4</td>
<td>4347.2</td>
<td>3003.52</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.13xlarge</td>
<td>52</td>
<td>384</td>
<td>24.7</td>
<td>11856</td>
<td>11856</td>
<td>10077.6</td>
<td>6520.8</td>
<td>4505.28</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.26xlarge</td>
<td>104</td>
<td>768</td>
<td>49.4</td>
<td>23712</td>
<td>23712</td>
<td>20155.2</td>
<td>13041.6</td>
<td>9010.56</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.2xlarge</td>
<td>8</td>
<td>32</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>本地SSD型 ecs.i3g.4xlarge</td>
<td>16</td>
<td>64</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>本地SSD型 ecs.i3g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.2</td>
<td>5376</td>
<td>5376</td>
<td>4569.6</td>
<td>2956.8</td>
<td>2042.88</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.13xlarge</td>
<td>52</td>
<td>192</td>
<td>16.8</td>
<td>8064</td>
<td>8064</td>
<td>6854.4</td>
<td>4435.2</td>
<td>3064.32</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.26xlarge</td>
<td>104</td>
<td>384</td>
<td>33.6</td>
<td>16128</td>
<td>16128</td>
<td>13708.8</td>
<td>8870.4</td>
<td>6128.64</td>
</tr>
<tr>
<td>大数据计算型 ecs.d3c.3xlarge</td>
<td>14</td>
<td>56</td>
<td>7.103</td>
<td>3409.6</td>
<td>3409.6</td>
<td>2898.16</td>
<td>1875.28</td>
<td>1295.65</td>
</tr>
<tr>
<td>大数据计算型 ecs.d3c.7xlarge</td>
<td>28</td>
<td>112</td>
<td>14.207</td>
<td>6819.2</td>
<td>6819.2</td>
<td>5796.32</td>
<td>3750.56</td>
<td>2591.3</td>
</tr>
<tr>
<td>大数据计算型 ecs.d3c.14xlarge</td>
<td>56</td>
<td>224</td>
<td>28.413</td>
<td>13638.41</td>
<td>13638.41</td>
<td>11592.65</td>
<td>7501.12</td>
<td>5182.59</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>1.974</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>3.948</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>7.896</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>15.792</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>31.584</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>39.48</td>
<td>18984</td>
<td>18984</td>
<td>16136.4</td>
<td>10441.2</td>
<td>7213.92</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.227</td>
<td>1549</td>
<td>1549</td>
<td>1316.65</td>
<td>851.95</td>
<td>588.62</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.454</td>
<td>3098</td>
<td>3098</td>
<td>2633.3</td>
<td>1703.9</td>
<td>1177.24</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.907</td>
<td>6196</td>
<td>6196</td>
<td>5266.6</td>
<td>3407.8</td>
<td>2354.48</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>25.816</td>
<td>12392</td>
<td>12392</td>
<td>10533.2</td>
<td>6815.6</td>
<td>4708.96</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>ecs.sd2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>14.73</td>
<td>4242</td>
<td>4242</td>
<td>4242</td>
<td>4242</td>
<td>4242</td>
</tr>
<tr>
<td>ecs.sd2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>29.46</td>
<td>8484</td>
<td>8484</td>
<td>8484</td>
<td>8484</td>
<td>8484</td>
</tr>
<tr>
<td>ecs.sd2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>58.92</td>
<td>16968</td>
<td>16968</td>
<td>16968</td>
<td>16968</td>
<td>16968</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.225</td>
<td>108</td>
<td>108</td>
<td>36.72</td>
<td>22.68</td>
<td>22.68</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.3375</td>
<td>162</td>
<td>162</td>
<td>55.08</td>
<td>34.02</td>
<td>34.02</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.094</td>
<td>45.14</td>
<td>45.14</td>
<td>15.35</td>
<td>9.48</td>
<td>9.48</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.675</td>
<td>324</td>
<td>324</td>
<td>243</td>
<td>155.52</td>
<td>123.12</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.45</td>
<td>216</td>
<td>216</td>
<td>162</td>
<td>103.68</td>
<td>82.08</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.35</td>
<td>648</td>
<td>648</td>
<td>486</td>
<td>311.04</td>
<td>246.24</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>324</td>
<td>207.36</td>
<td>164.16</td>
</tr>
</tbody>
</table>
<h2>三、阿里云服务器活动价格</h2>
阿里云的价格具有一定的竞争力，随着云计算市场的竞争越来越激烈，各大云服务商都会推出各种特惠云服务器，阿里云自然也不例外，相对于其他云计算服务商，阿里云以其丰富的产品和服务、稳定的技术支持和各种促销活动的策略赢得了众多用户的青睐。2023年阿里云推出了轻量应用服务器和经济型、通用算力型、计算型、通用型、内存型云服务器特惠，价钱都很便宜，其中轻量应用服务器最低活动价格为108元1年起，经济型云服务器最低活动价格为182.04元1年起，通用算力型u1云服务器最低活动价格为840.96元1年起，计算型c7实例云服务器活动价格为1625.40元起，通用型g7实例云服务器活动价格为2028.25元起，内存型r7实例云服务器活动价格为2637.74元起，计算型c8y实例云服务器活动价格为674.49元起，通用型g8y实例云服务器活动价格为1033.44元起，内存型r8y实例云服务器活动价格为1329.11元起。下面是截止目前完成版的阿里云服务器活动价格，以表格形式展示给大家：
<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（按量带宽）</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>轻量应用服务器</td>
<td>2核2G</td>
<td>3M</td>
<td>50GB ESSD</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>108元/1年</td>
<td>-</td>
<td>-</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>-</td>
<td>-</td>
<td>-</td>
<td>-</td>
<td>297.98元/1年</td>
<td>-</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核2G</td>
<td>按量或1M-100M</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>按量或1M-100M</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>按量或1M-100M</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>按量或1M-100M</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>按量或1M-100M</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>按量或1M-100M</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>按量或1M-100M</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>按量或1M-100M</td>
<td>20G ESSD</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>按量或1M-100M</td>
<td>20G ESSD</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>按量或1M-100M</td>
<td>20G ESSD</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>按量或1M-100M</td>
<td>20G ESSD</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>按量或1M-100M</td>
<td>20G ESSD</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>按量或1M-100M</td>
<td>20G ESSD</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>按量或1M-100M</td>
<td>20G ESSD</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>
<tr>
<td>通用算力型u1</td>
<td>2核2G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>840.96元</td>
<td>1075.56元</td>
<td>1310.16元</td>
<td>1565.16元</td>
<td>1820.16元</td>
<td>2115.96元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核4G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>1631.52元</td>
<td>1866.12元</td>
<td>2100.72元</td>
<td>2355.72元</td>
<td>2610.72元</td>
<td>2906.52元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核8G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>3212.64元</td>
<td>3447.24元</td>
<td>3681.84元</td>
<td>3936.84元</td>
<td>4191.84元</td>
<td>4487.64元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>897.98元</td>
<td>1132.58元</td>
<td>1367.18元</td>
<td>1622.18元</td>
<td>1877.18元</td>
<td>2172.98元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>1795.97元</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>20G ESSD Entry</td>
<td>3440.74元</td>
<td>3675.34元</td>
<td>3909.94元</td>
<td>4164.94元</td>
<td>4419.94元</td>
<td>4715.74元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>1139.04元</td>
<td>1373.64元</td>
<td>1608.24元</td>
<td>1863.24元</td>
<td>2118.24元</td>
<td>2414.04元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>2227.68元</td>
<td>2462.28元</td>
<td>2696.88元</td>
<td>2951.88元</td>
<td>3206.88元</td>
<td>3502.68元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>4404.96元</td>
<td>4639.56元</td>
<td>4874.16元</td>
<td>5129.16元</td>
<td>5384.16元</td>
<td>5679.96元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>1473.41元</td>
<td>1708.01元</td>
<td>1942.61元</td>
<td>2197.61元</td>
<td>2452.61元</td>
<td>2748.41元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>2896.42元</td>
<td>3131.02元</td>
<td>3365.62元</td>
<td>3620.62元</td>
<td>3875.62元</td>
<td>4171.42元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>5742.43元</td>
<td>5977.03元</td>
<td>6211.63元</td>
<td>6466.63元</td>
<td>6721.63元</td>
<td>7017.43元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核2G</td>
<td>1M-5M</td>
<td>20G ESSD</td>
<td>934.56元</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>20G ESSD</td>
<td>1725.12元</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>20G ESSD</td>
<td>3306.24元</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>20G ESSD</td>
<td>991.58元</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>20G ESSD</td>
<td>1839.17元</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>20G ESSD</td>
<td>3534.34元</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>20G ESSD</td>
<td>1232.64元</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>20G ESSD</td>
<td>2321.28元</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>20G ESSD</td>
<td>4498.56元</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>20G ESSD</td>
<td>1567.01元</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>20G ESSD</td>
<td>2990.02元</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>20G ESSD</td>
<td>5836.03元</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>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>1625.40元</td>
<td>1860.00元</td>
<td>2094.60元</td>
<td>2349.60元</td>
<td>2604.60元</td>
<td>2900.40元</td>
</tr>
<tr>
<td>计算型c7</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>3046.79元</td>
<td>3281.39元</td>
<td>3515.99元</td>
<td>3770.99元</td>
<td>4025.99元</td>
<td>4321.79元</td>
</tr>
<tr>
<td>计算型c7</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>5889.58元</td>
<td>6124.18元</td>
<td>6358.78元</td>
<td>6613.78元</td>
<td>6868.78元</td>
<td>7164.58元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>2028.25元</td>
<td>2262.85元</td>
<td>2497.45元</td>
<td>2752.45元</td>
<td>3007.45元</td>
<td>3303.25元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>3852.50元</td>
<td>4087.10元</td>
<td>4321.70元</td>
<td>4576.70元</td>
<td>4831.70元</td>
<td>5127.50元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>7501.00元</td>
<td>7735.60元</td>
<td>7970.20元</td>
<td>8225.20元</td>
<td>8480.20元</td>
<td>8776.00元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>2637.74元</td>
<td>2872.34元</td>
<td>3106.94元</td>
<td>3361.94元</td>
<td>3616.94元</td>
<td>3912.74元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>5071.47元</td>
<td>5306.07元</td>
<td>5540.67元</td>
<td>5795.67元</td>
<td>6050.67元</td>
<td>6346.47元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>9938.95元</td>
<td>10173.55元</td>
<td>10408.15元</td>
<td>10663.15元</td>
<td>10918.15元</td>
<td>11213.95元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>1核2G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>674.49元</td>
<td>909.09元</td>
<td>1143.69元</td>
<td>1398.69元</td>
<td>1653.69元</td>
<td>1949.49元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>2核4G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>1144.97元</td>
<td>1379.57元</td>
<td>1614.17元</td>
<td>1869.17元</td>
<td>2124.17元</td>
<td>2419.97元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>4核8G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>2085.94元</td>
<td>2320.54元</td>
<td>2555.14元</td>
<td>2810.14元</td>
<td>3065.14元</td>
<td>3360.94元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>8核16G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>3967.89元</td>
<td>4202.49元</td>
<td>4437.09元</td>
<td>4692.09元</td>
<td>4947.09元</td>
<td>5242.89元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>1核4G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>1033.44元</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 ESSD</td>
<td>1862.88元</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 ESSD</td>
<td>3521.76元</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>通用型g8y</td>
<td>8核32G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>6839.52元</td>
<td>7074.12元</td>
<td>7308.72元</td>
<td>7563.72元</td>
<td>7818.72元</td>
<td>8114.52元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>1核8G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>1329.11元</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 ESSD</td>
<td>2454.22元</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 ESSD</td>
<td>4704.44元</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>
<tr>
<td>内存型r8y</td>
<td>8核64G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>9204.88元</td>
<td>9439.48元</td>
<td>9674.08元</td>
<td>9929.08元</td>
<td>10184.08元</td>
<td>10479.88元</td>
</tr>
</tbody>
</table>
说明：以上仅供参考，实际选择过程中，随着带宽与系统盘容量的不同，价格会有所不同，轻量应用服务器与经济型e实例云服务器活动直达：阿里云服务器新人特惠活动，阿里云云服务器ECS全面降价：持续降低用云成本，让算力更普惠，指定云服务器低至0.3元/天。
通用算力型u1、计算型c7、计算型c8y实例云服务器活动直达：阿里云百亿补贴助力中小企业成长活动，多款主售产品价格下调助力用户低成本上云，最高调整幅度达到47?
另外，阿里云官方还会不定期通过云小站平台为用户推出各种优惠券或代金券，帮助用户减少购买成本，我们在实际选购之前，可以先了解一下当下是否有优惠券或代金券这类活动，有的话，先领优惠券或者代金券，在购买时还能使用优惠券或者代金券额外获得满减优惠。
https://upload-images.jianshu.io/upload_images/19316870-b49b78a3d2d9a9b9.png
<div class="image-caption">云小站代金券图.png
<h2>总结</h2>
虽然阿里云的价格相对合理，但用户在选择时仍需综合考虑各个因素。除了价格外，用户还需要考虑自己的业务需求、安全性要求、技术支持等因素。不同的业务场景和需求可能对云计算的产品和服务有不同的要求，因此用户在选择云计算服务提供商时应综合考虑价格和性能、功能以及服务质量等多个方面。
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