阿里云服务器香港地域多少钱？香港地域最新收费标准及便宜购买教程

gketu0811

阿里云服务器在国内有十几个地域可选，香港地域南北方用户都适用，且不用备案，2024年阿里云中国内地地域云服务器做了降价调整，因此收费标准也有所变化，本文为大家展示阿里云服务器香港地域最新的收费标准，以及在实际购买过程中如何购买价格可以更加便宜，以供参考。

一、阿里云服务器香港地域接入点及运营商介绍
阿里云服务器香港地域有葵涌、柴湾、將軍澳、粉岭等多个接入点，运营商有Equinix、万国、新华丰、Global Switch等。
<table>
<thead>
<tr>
<th>地域</th>
<th>接入点</th>
<th>运营商</th>
<th>附近的建筑物</th>
</tr>
</thead>
<tbody>
<tr>
<td>中国香港</td>
<td>香港-葵涌-A</td>
<td>Equinix</td>
<td>信兴中心</td>
</tr>
<tr>
<td>中国香港</td>
<td>香港-葵涌-F</td>
<td>万国</td>
<td>香港葵涌蓝田街2-16号</td>
</tr>
<tr>
<td>中国香港</td>
<td>香港-柴湾-B</td>
<td>新华丰</td>
<td>新华丰中心</td>
</tr>
<tr>
<td>中国香港</td>
<td>香港-柴湾-G</td>
<td>Mega-I</td>
<td>香港柴湾道</td>
</tr>
<tr>
<td>中国香港</td>
<td>香港-將軍澳-E</td>
<td>Global Switch</td>
<td>香港八珍大楼</td>
</tr>
<tr>
<td>中国香港</td>
<td>香港-粉岭-C</td>
<td>PCCW</td>
<td>安汇中心</td>
</tr>
</tbody>
</table>

二、阿里云服务器香港地域最新收费标准
阿里云服务器配置与实例规格不同，收费标准不一样，同时购买时长不同，换算到每个月的收费标准也不同，下面是阿里云服务器香港地域最新收费标准，包括按量(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。
<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>1.3765</td>
<td>809.99</td>
<td>809.99</td>
<td>485.99</td>
<td>307.8</td>
<td>307.8</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>1.1395</td>
<td>697.29</td>
<td>697.29</td>
<td>418.38</td>
<td>264.97</td>
<td>264.97</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.large</td>
<td>2</td>
<td>16</td>
<td>1.5905</td>
<td>893.84</td>
<td>893.84</td>
<td>536.3</td>
<td>339.66</td>
<td>339.66</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>1.082166</td>
<td>662.43</td>
<td>662.43</td>
<td>397.46</td>
<td>251.72</td>
<td>251.72</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>2.165333</td>
<td>1324.86</td>
<td>1324.86</td>
<td>794.91</td>
<td>503.44</td>
<td>503.44</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.181</td>
<td>1787.67</td>
<td>1787.67</td>
<td>1072.6</td>
<td>679.32</td>
<td>679.32</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.279</td>
<td>1394.59</td>
<td>1394.59</td>
<td>836.75</td>
<td>529.94</td>
<td>529.94</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.753</td>
<td>1619.98</td>
<td>1619.98</td>
<td>971.99</td>
<td>615.59</td>
<td>615.59</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.506</td>
<td>3239.96</td>
<td>3239.96</td>
<td>1943.98</td>
<td>1231.18</td>
<td>1231.18</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.558</td>
<td>2789.17</td>
<td>2789.17</td>
<td>1673.5</td>
<td>1059.88</td>
<td>1059.88</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.362</td>
<td>3575.34</td>
<td>3575.34</td>
<td>2145.2</td>
<td>1358.63</td>
<td>1358.63</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>4.329722</td>
<td>2649.71</td>
<td>2649.71</td>
<td>1589.83</td>
<td>1006.89</td>
<td>1006.89</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.259</td>
<td>4859.94</td>
<td>4859.94</td>
<td>2915.96</td>
<td>1846.78</td>
<td>1846.78</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.3xlarge</td>
<td>12</td>
<td>12</td>
<td>6.495055</td>
<td>3974.57</td>
<td>3974.57</td>
<td>2384.74</td>
<td>1510.34</td>
<td>1510.34</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.3xlarge</td>
<td>12</td>
<td>24</td>
<td>6.837</td>
<td>4183.76</td>
<td>4183.76</td>
<td>2510.25</td>
<td>1589.83</td>
<td>1589.83</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.3xlarge</td>
<td>12</td>
<td>96</td>
<td>9.543</td>
<td>5363.01</td>
<td>5363.01</td>
<td>3217.81</td>
<td>2037.94</td>
<td>2037.94</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>8.660388</td>
<td>5299.43</td>
<td>5299.43</td>
<td>3179.65</td>
<td>2013.78</td>
<td>2013.78</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.724</td>
<td>7150.68</td>
<td>7150.68</td>
<td>4290.41</td>
<td>2717.26</td>
<td>2717.26</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.012</td>
<td>6479.92</td>
<td>6479.92</td>
<td>3887.95</td>
<td>2462.37</td>
<td>2462.37</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>9.116</td>
<td>5578.34</td>
<td>5578.34</td>
<td>3347</td>
<td>2119.77</td>
<td>2119.77</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.024</td>
<td>12959.84</td>
<td>12959.84</td>
<td>7775.9</td>
<td>4924.74</td>
<td>4924.74</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.8xlarge</td>
<td>32</td>
<td>256</td>
<td>25.448</td>
<td>14301.37</td>
<td>14301.37</td>
<td>8580.82</td>
<td>5434.52</td>
<td>5434.52</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.8xlarge</td>
<td>32</td>
<td>64</td>
<td>18.232</td>
<td>11156.68</td>
<td>11156.68</td>
<td>6694.01</td>
<td>4239.54</td>
<td>4239.54</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.8xlarge</td>
<td>32</td>
<td>32</td>
<td>17.320777</td>
<td>10598.84</td>
<td>10598.84</td>
<td>6359.31</td>
<td>4027.56</td>
<td>4027.56</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.small</td>
<td>1</td>
<td>8</td>
<td>0.6449</td>
<td>395.08</td>
<td>395.08</td>
<td>335.81</td>
<td>217.29</td>
<td>150.13</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.large</td>
<td>2</td>
<td>16</td>
<td>1.2899</td>
<td>790.15</td>
<td>790.15</td>
<td>671.63</td>
<td>434.58</td>
<td>300.26</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.5796</td>
<td>1580.31</td>
<td>1580.31</td>
<td>1343.26</td>
<td>869.17</td>
<td>600.52</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.1593</td>
<td>3160.61</td>
<td>3160.61</td>
<td>2686.52</td>
<td>1738.33</td>
<td>1201.03</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.3186</td>
<td>6321.21</td>
<td>6321.21</td>
<td>5373.03</td>
<td>3476.67</td>
<td>2402.06</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.8xlarge</td>
<td>32</td>
<td>256</td>
<td>20.6372</td>
<td>12642.43</td>
<td>12642.43</td>
<td>10746.07</td>
<td>6953.34</td>
<td>4804.12</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.16xlarge</td>
<td>64</td>
<td>512</td>
<td>41.2745</td>
<td>25284.87</td>
<td>25284.87</td>
<td>21492.13</td>
<td>13906.68</td>
<td>9608.25</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.small</td>
<td>1</td>
<td>4</td>
<td>0.565</td>
<td>355.01</td>
<td>355.01</td>
<td>301.76</td>
<td>195.25</td>
<td>134.9</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.large</td>
<td>2</td>
<td>8</td>
<td>1.1301</td>
<td>710.01</td>
<td>710.01</td>
<td>603.51</td>
<td>390.51</td>
<td>269.81</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.26</td>
<td>1420.03</td>
<td>1420.03</td>
<td>1207.02</td>
<td>781.02</td>
<td>539.61</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.5201</td>
<td>2840.06</td>
<td>2840.06</td>
<td>2414.05</td>
<td>1562.03</td>
<td>1079.22</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.4xlarge</td>
<td>16</td>
<td>64</td>
<td>9.0402</td>
<td>5680.11</td>
<td>5680.11</td>
<td>4828.1</td>
<td>3124.06</td>
<td>2158.44</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.8xlarge</td>
<td>32</td>
<td>128</td>
<td>18.0804</td>
<td>11360.23</td>
<td>11360.23</td>
<td>9656.2</td>
<td>6248.13</td>
<td>4316.89</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.16xlarge</td>
<td>64</td>
<td>256</td>
<td>36.1608</td>
<td>22720.46</td>
<td>22720.46</td>
<td>19312.39</td>
<td>12496.25</td>
<td>8633.78</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.small</td>
<td>1</td>
<td>2</td>
<td>0.5079</td>
<td>329.08</td>
<td>329.08</td>
<td>279.72</td>
<td>180.99</td>
<td>125.05</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.large</td>
<td>2</td>
<td>4</td>
<td>1.0159</td>
<td>658.16</td>
<td>658.16</td>
<td>559.44</td>
<td>361.99</td>
<td>250.1</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.0317</td>
<td>1316.32</td>
<td>1316.32</td>
<td>1118.87</td>
<td>723.98</td>
<td>500.2</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.0635</td>
<td>2632.65</td>
<td>2632.65</td>
<td>2237.75</td>
<td>1447.95</td>
<td>1000.4</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.4xlarge</td>
<td>16</td>
<td>32</td>
<td>8.1271</td>
<td>5265.28</td>
<td>5265.28</td>
<td>4475.49</td>
<td>2895.91</td>
<td>2000.81</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.8xlarge</td>
<td>32</td>
<td>64</td>
<td>16.2541</td>
<td>10530.57</td>
<td>10530.57</td>
<td>8950.99</td>
<td>5791.81</td>
<td>4001.62</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.16xlarge</td>
<td>64</td>
<td>128</td>
<td>32.5082</td>
<td>21061.14</td>
<td>21061.14</td>
<td>17901.97</td>
<td>11583.63</td>
<td>8003.23</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.large</td>
<td>2</td>
<td>16</td>
<td>1.6084</td>
<td>963.83</td>
<td>963.83</td>
<td>819.26</td>
<td>530.11</td>
<td>366.26</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.2168</td>
<td>1927.66</td>
<td>1927.66</td>
<td>1638.51</td>
<td>1060.21</td>
<td>732.51</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.4336</td>
<td>3855.32</td>
<td>3855.32</td>
<td>3277.02</td>
<td>2120.43</td>
<td>1465.02</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.8672</td>
<td>7710.64</td>
<td>7710.64</td>
<td>6554.04</td>
<td>4240.85</td>
<td>2930.04</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>25.7344</td>
<td>15421.28</td>
<td>15421.28</td>
<td>13108.09</td>
<td>8481.7</td>
<td>5860.09</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.12xlarge</td>
<td>48</td>
<td>384</td>
<td>38.6016</td>
<td>23131.92</td>
<td>23131.92</td>
<td>19662.13</td>
<td>12722.56</td>
<td>8790.13</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>51.4688</td>
<td>30842.56</td>
<td>30842.56</td>
<td>26216.18</td>
<td>16963.41</td>
<td>11720.17</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.large</td>
<td>2</td>
<td>4</td>
<td>1.2438</td>
<td>800.85</td>
<td>800.85</td>
<td>680.72</td>
<td>440.47</td>
<td>304.32</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.4876</td>
<td>1601.7</td>
<td>1601.7</td>
<td>1361.44</td>
<td>880.93</td>
<td>608.65</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.9753</td>
<td>3203.4</td>
<td>3203.4</td>
<td>2722.89</td>
<td>1761.87</td>
<td>1217.29</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>9.9504</td>
<td>6406.8</td>
<td>6406.8</td>
<td>5445.78</td>
<td>3523.74</td>
<td>2434.58</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>19.9009</td>
<td>12813.6</td>
<td>12813.6</td>
<td>10891.56</td>
<td>7047.48</td>
<td>4869.17</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.12xlarge</td>
<td>48</td>
<td>96</td>
<td>29.8513</td>
<td>19220.39</td>
<td>19220.39</td>
<td>16337.33</td>
<td>10571.22</td>
<td>7303.75</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>39.8018</td>
<td>25627.19</td>
<td>25627.19</td>
<td>21783.11</td>
<td>14094.96</td>
<td>9738.33</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.24xlarge</td>
<td>96</td>
<td>192</td>
<td>59.7026</td>
<td>38440.79</td>
<td>38440.79</td>
<td>32674.67</td>
<td>21142.43</td>
<td>14607.5</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>79.6035</td>
<td>51254.38</td>
<td>51254.38</td>
<td>43566.23</td>
<td>28189.91</td>
<td>19476.67</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.large</td>
<td>2</td>
<td>8</td>
<td>1.3921</td>
<td>878.08</td>
<td>878.08</td>
<td>746.37</td>
<td>482.94</td>
<td>333.67</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.7842</td>
<td>1756.15</td>
<td>1756.15</td>
<td>1492.73</td>
<td>965.88</td>
<td>667.34</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.5685</td>
<td>3512.31</td>
<td>3512.31</td>
<td>2985.46</td>
<td>1931.77</td>
<td>1334.68</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.1369</td>
<td>7024.61</td>
<td>7024.61</td>
<td>5970.92</td>
<td>3863.54</td>
<td>2669.35</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.2738</td>
<td>14049.22</td>
<td>14049.22</td>
<td>11941.84</td>
<td>7727.07</td>
<td>5338.7</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.12xlarge</td>
<td>48</td>
<td>192</td>
<td>33.4107</td>
<td>21073.83</td>
<td>21073.83</td>
<td>17912.76</td>
<td>11590.61</td>
<td>8008.06</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>44.5477</td>
<td>28098.44</td>
<td>28098.44</td>
<td>23883.68</td>
<td>15454.14</td>
<td>10677.41</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.24xlarge</td>
<td>96</td>
<td>384</td>
<td>66.8215</td>
<td>42147.66</td>
<td>42147.66</td>
<td>35825.51</td>
<td>23181.22</td>
<td>16016.11</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>89.0953</td>
<td>56196.89</td>
<td>56196.89</td>
<td>47767.35</td>
<td>30908.29</td>
<td>21354.82</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.48xlarge</td>
<td>192</td>
<td>768</td>
<td>133.6431</td>
<td>84295.33</td>
<td>84295.33</td>
<td>71651.03</td>
<td>46362.43</td>
<td>32032.22</td>
</tr>
<tr>
<td>内存型 ecs.r8i.large</td>
<td>2</td>
<td>16</td>
<td>1.6747</td>
<td>1078.1</td>
<td>1078.1</td>
<td>916.39</td>
<td>592.96</td>
<td>409.68</td>
</tr>
<tr>
<td>内存型 ecs.r8i.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.3494</td>
<td>2156.2</td>
<td>2156.2</td>
<td>1832.77</td>
<td>1185.91</td>
<td>819.36</td>
</tr>
<tr>
<td>内存型 ecs.r8i.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.6988</td>
<td>4312.4</td>
<td>4312.4</td>
<td>3665.54</td>
<td>2371.82</td>
<td>1638.71</td>
</tr>
<tr>
<td>内存型 ecs.r8i.3xlarge</td>
<td>12</td>
<td>96</td>
<td>10.0481</td>
<td>6468.6</td>
<td>6468.6</td>
<td>5498.31</td>
<td>3557.73</td>
<td>2458.07</td>
</tr>
<tr>
<td>内存型 ecs.r8i.4xlarge</td>
<td>16</td>
<td>128</td>
<td>13.3974</td>
<td>8624.8</td>
<td>8624.8</td>
<td>7331.08</td>
<td>4743.64</td>
<td>3277.43</td>
</tr>
<tr>
<td>内存型 ecs.r8i.6xlarge</td>
<td>24</td>
<td>192</td>
<td>20.0962</td>
<td>12937.21</td>
<td>12937.21</td>
<td>10996.63</td>
<td>7115.46</td>
<td>4916.14</td>
</tr>
<tr>
<td>内存型 ecs.r8i.8xlarge</td>
<td>32</td>
<td>256</td>
<td>26.7949</td>
<td>17249.61</td>
<td>17249.61</td>
<td>14662.17</td>
<td>9487.28</td>
<td>6554.85</td>
</tr>
<tr>
<td>内存型 ecs.r8i.12xlarge</td>
<td>48</td>
<td>384</td>
<td>40.1923</td>
<td>25874.41</td>
<td>25874.41</td>
<td>21993.25</td>
<td>14230.93</td>
<td>9832.28</td>
</tr>
<tr>
<td>计算型 ecs.c8i.large</td>
<td>2</td>
<td>4</td>
<td>1.2866</td>
<td>852.07</td>
<td>852.07</td>
<td>724.26</td>
<td>468.64</td>
<td>323.79</td>
</tr>
<tr>
<td>计算型 ecs.c8i.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.5733</td>
<td>1704.14</td>
<td>1704.14</td>
<td>1448.52</td>
<td>937.28</td>
<td>647.57</td>
</tr>
<tr>
<td>计算型 ecs.c8i.2xlarge</td>
<td>8</td>
<td>16</td>
<td>5.1466</td>
<td>3408.28</td>
<td>3408.28</td>
<td>2897.03</td>
<td>1874.55</td>
<td>1295.14</td>
</tr>
<tr>
<td>计算型 ecs.c8i.3xlarge</td>
<td>12</td>
<td>24</td>
<td>7.7197</td>
<td>5112.41</td>
<td>5112.41</td>
<td>4345.55</td>
<td>2811.83</td>
<td>1942.72</td>
</tr>
<tr>
<td>计算型 ecs.c8i.4xlarge</td>
<td>16</td>
<td>32</td>
<td>10.293</td>
<td>6816.55</td>
<td>6816.55</td>
<td>5794.07</td>
<td>3749.1</td>
<td>2590.29</td>
</tr>
<tr>
<td>计算型 ecs.c8i.6xlarge</td>
<td>24</td>
<td>48</td>
<td>15.4396</td>
<td>10224.82</td>
<td>10224.82</td>
<td>8691.1</td>
<td>5623.65</td>
<td>3885.43</td>
</tr>
<tr>
<td>计算型 ecs.c8i.8xlarge</td>
<td>32</td>
<td>64</td>
<td>20.586</td>
<td>13633.1</td>
<td>13633.1</td>
<td>11588.13</td>
<td>7498.2</td>
<td>5180.58</td>
</tr>
<tr>
<td>计算型 ecs.c8i.12xlarge</td>
<td>48</td>
<td>96</td>
<td>30.879</td>
<td>20449.65</td>
<td>20449.65</td>
<td>17382.2</td>
<td>11247.31</td>
<td>7770.87</td>
</tr>
<tr>
<td>计算型 ecs.c8i.16xlarge</td>
<td>64</td>
<td>128</td>
<td>41.172</td>
<td>27266.2</td>
<td>27266.2</td>
<td>23176.27</td>
<td>14996.41</td>
<td>10361.16</td>
</tr>
<tr>
<td>计算型 ecs.c8i.24xlarge</td>
<td>96</td>
<td>192</td>
<td>61.758</td>
<td>40899.29</td>
<td>40899.29</td>
<td>34764.4</td>
<td>22494.61</td>
<td>15541.73</td>
</tr>
<tr>
<td>通用型 ecs.g8i.large</td>
<td>2</td>
<td>8</td>
<td>1.4445</td>
<td>959.12</td>
<td>959.12</td>
<td>815.25</td>
<td>527.51</td>
<td>364.46</td>
</tr>
<tr>
<td>通用型 ecs.g8i.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.889</td>
<td>1918.24</td>
<td>1918.24</td>
<td>1630.5</td>
<td>1055.03</td>
<td>728.93</td>
</tr>
<tr>
<td>通用型 ecs.g8i.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.778</td>
<td>3836.47</td>
<td>3836.47</td>
<td>3261</td>
<td>2110.06</td>
<td>1457.86</td>
</tr>
<tr>
<td>通用型 ecs.g8i.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.6668</td>
<td>5754.71</td>
<td>5754.71</td>
<td>4891.5</td>
<td>3165.09</td>
<td>2186.79</td>
</tr>
<tr>
<td>通用型 ecs.g8i.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.5558</td>
<td>7672.94</td>
<td>7672.94</td>
<td>6522</td>
<td>4220.12</td>
<td>2915.72</td>
</tr>
<tr>
<td>通用型 ecs.g8i.6xlarge</td>
<td>24</td>
<td>96</td>
<td>17.3338</td>
<td>11509.41</td>
<td>11509.41</td>
<td>9783</td>
<td>6330.17</td>
<td>4373.58</td>
</tr>
<tr>
<td>通用型 ecs.g8i.8xlarge</td>
<td>32</td>
<td>128</td>
<td>23.1116</td>
<td>15345.88</td>
<td>15345.88</td>
<td>13044</td>
<td>8440.23</td>
<td>5831.43</td>
</tr>
<tr>
<td>通用型 ecs.g8i.12xlarge</td>
<td>48</td>
<td>192</td>
<td>34.6675</td>
<td>23018.82</td>
<td>23018.82</td>
<td>19566</td>
<td>12660.35</td>
<td>8747.15</td>
</tr>
<tr>
<td>通用型 ecs.g8i.16xlarge</td>
<td>64</td>
<td>256</td>
<td>46.2233</td>
<td>30691.76</td>
<td>30691.76</td>
<td>26088</td>
<td>16880.47</td>
<td>11662.87</td>
</tr>
<tr>
<td>通用型 ecs.g8i.24xlarge</td>
<td>96</td>
<td>384</td>
<td>69.3349</td>
<td>46037.64</td>
<td>46037.64</td>
<td>39131.99</td>
<td>25320.7</td>
<td>17494.3</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.large</td>
<td>2</td>
<td>8</td>
<td>1.743</td>
<td>1008.16</td>
<td>1008.16</td>
<td>856.93</td>
<td>554.49</td>
<td>383.1</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.486</td>
<td>2016.31</td>
<td>2016.31</td>
<td>1713.87</td>
<td>1108.97</td>
<td>766.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.972</td>
<td>4032.63</td>
<td>4032.63</td>
<td>3427.74</td>
<td>2217.95</td>
<td>1532.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>10.458</td>
<td>6048.95</td>
<td>6048.95</td>
<td>5141.6</td>
<td>3326.92</td>
<td>2298.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.944</td>
<td>8065.26</td>
<td>8065.26</td>
<td>6855.47</td>
<td>4435.89</td>
<td>3064.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>20.916</td>
<td>12097.89</td>
<td>12097.89</td>
<td>10283.21</td>
<td>6653.84</td>
<td>4597.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>27.888</td>
<td>16130.52</td>
<td>16130.52</td>
<td>13710.94</td>
<td>8871.79</td>
<td>6129.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.12xlarge</td>
<td>48</td>
<td>192</td>
<td>41.832</td>
<td>24195.78</td>
<td>24195.78</td>
<td>20566.41</td>
<td>13307.68</td>
<td>9194.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.24xlarge</td>
<td>96</td>
<td>384</td>
<td>83.664</td>
<td>48391.56</td>
<td>48391.56</td>
<td>41132.83</td>
<td>26615.36</td>
<td>18388.79</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>1.5015</td>
<td>901.89</td>
<td>901.89</td>
<td>766.6</td>
<td>496.04</td>
<td>342.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.xlarge</td>
<td>4</td>
<td>8</td>
<td>3.003</td>
<td>1803.78</td>
<td>1803.78</td>
<td>1533.21</td>
<td>992.08</td>
<td>685.43</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>6.006</td>
<td>3607.55</td>
<td>3607.55</td>
<td>3066.42</td>
<td>1984.15</td>
<td>1370.87</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>9.009</td>
<td>5411.32</td>
<td>5411.32</td>
<td>4599.62</td>
<td>2976.23</td>
<td>2056.3</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>12.012</td>
<td>7215.09</td>
<td>7215.09</td>
<td>6132.83</td>
<td>3968.3</td>
<td>2741.74</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>18.018</td>
<td>10822.65</td>
<td>10822.65</td>
<td>9199.25</td>
<td>5952.45</td>
<td>4112.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>24.024</td>
<td>14430.19</td>
<td>14430.19</td>
<td>12265.66</td>
<td>7936.61</td>
<td>5483.47</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.12xlarge</td>
<td>48</td>
<td>96</td>
<td>36.036</td>
<td>21645.29</td>
<td>21645.29</td>
<td>18398.49</td>
<td>11904.91</td>
<td>8225.21</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.24xlarge</td>
<td>96</td>
<td>192</td>
<td>72.072</td>
<td>43290.57</td>
<td>43290.57</td>
<td>36796.99</td>
<td>23809.82</td>
<td>16450.42</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.large</td>
<td>2</td>
<td>16</td>
<td>2.016</td>
<td>1122.11</td>
<td>1122.11</td>
<td>953.8</td>
<td>617.16</td>
<td>426.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.xlarge</td>
<td>4</td>
<td>32</td>
<td>4.032</td>
<td>2244.23</td>
<td>2244.23</td>
<td>1907.59</td>
<td>1234.33</td>
<td>852.81</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>8.064</td>
<td>4488.46</td>
<td>4488.46</td>
<td>3815.19</td>
<td>2468.65</td>
<td>1705.61</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>12.096</td>
<td>6732.69</td>
<td>6732.69</td>
<td>5722.78</td>
<td>3702.98</td>
<td>2558.42</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>16.128</td>
<td>8976.92</td>
<td>8976.92</td>
<td>7630.38</td>
<td>4937.3</td>
<td>3411.23</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>24.192</td>
<td>13465.36</td>
<td>13465.36</td>
<td>11445.56</td>
<td>7405.95</td>
<td>5116.84</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>32.256</td>
<td>17953.82</td>
<td>17953.82</td>
<td>15260.75</td>
<td>9874.6</td>
<td>6822.45</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.12xlarge</td>
<td>48</td>
<td>384</td>
<td>48.384</td>
<td>26930.74</td>
<td>26930.74</td>
<td>22891.13</td>
<td>14811.9</td>
<td>10233.68</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.24xlarge</td>
<td>96</td>
<td>768</td>
<td>96.768</td>
<td>53861.48</td>
<td>53861.48</td>
<td>45782.25</td>
<td>29623.81</td>
<td>20467.36</td>
</tr>
<tr>
<td>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>1.404287</td>
<td>948.78</td>
<td>948.78</td>
<td>806.46</td>
<td>521.83</td>
<td>360.54</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.808575</td>
<td>1897.56</td>
<td>1897.56</td>
<td>1612.92</td>
<td>1043.66</td>
<td>721.07</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.617151</td>
<td>3795.11</td>
<td>3795.11</td>
<td>3225.85</td>
<td>2087.31</td>
<td>1442.14</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.425727</td>
<td>5692.68</td>
<td>5692.68</td>
<td>4838.77</td>
<td>3130.97</td>
<td>2163.22</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.234303</td>
<td>7590.23</td>
<td>7590.23</td>
<td>6451.7</td>
<td>4174.63</td>
<td>2884.29</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>16.851455</td>
<td>11385.34</td>
<td>11385.34</td>
<td>9677.55</td>
<td>6261.94</td>
<td>4326.43</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.468607</td>
<td>15180.47</td>
<td>15180.47</td>
<td>12903.4</td>
<td>8349.26</td>
<td>5768.58</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>44.937215</td>
<td>30360.93</td>
<td>30360.93</td>
<td>25806.79</td>
<td>16698.51</td>
<td>11537.15</td>
</tr>
<tr>
<td>通用型 ecs.g7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>89.874431</td>
<td>60721.86</td>
<td>60721.86</td>
<td>51613.58</td>
<td>33397.02</td>
<td>23074.31</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>1.623707</td>
<td>1062.21</td>
<td>1062.21</td>
<td>902.88</td>
<td>584.21</td>
<td>403.64</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.247415</td>
<td>2124.42</td>
<td>2124.42</td>
<td>1805.76</td>
<td>1168.43</td>
<td>807.28</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.494831</td>
<td>4248.83</td>
<td>4248.83</td>
<td>3611.51</td>
<td>2336.86</td>
<td>1614.56</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>9.742247</td>
<td>6373.26</td>
<td>6373.26</td>
<td>5417.27</td>
<td>3505.29</td>
<td>2421.84</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.989663</td>
<td>8497.67</td>
<td>8497.67</td>
<td>7223.02</td>
<td>4673.72</td>
<td>3229.11</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>19.484495</td>
<td>12746.5</td>
<td>12746.5</td>
<td>10834.53</td>
<td>7010.58</td>
<td>4843.67</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>25.979327</td>
<td>16995.34</td>
<td>16995.34</td>
<td>14446.04</td>
<td>9347.44</td>
<td>6458.23</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>51.958655</td>
<td>33990.68</td>
<td>33990.68</td>
<td>28892.08</td>
<td>18694.87</td>
<td>12916.46</td>
</tr>
<tr>
<td>内存型 ecs.r7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>103.917311</td>
<td>67981.36</td>
<td>67981.36</td>
<td>57784.15</td>
<td>37389.75</td>
<td>25832.92</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>1.253828</td>
<td>846.72</td>
<td>846.72</td>
<td>719.72</td>
<td>465.7</td>
<td>321.76</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.507656</td>
<td>1693.45</td>
<td>1693.45</td>
<td>1439.43</td>
<td>931.4</td>
<td>643.51</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>5.015313</td>
<td>3386.9</td>
<td>3386.9</td>
<td>2878.86</td>
<td>1862.79</td>
<td>1287.02</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>7.52297</td>
<td>5080.35</td>
<td>5080.35</td>
<td>4318.3</td>
<td>2794.19</td>
<td>1930.53</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>10.030628</td>
<td>6773.79</td>
<td>6773.79</td>
<td>5757.72</td>
<td>3725.59</td>
<td>2574.04</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>15.045942</td>
<td>10160.69</td>
<td>10160.69</td>
<td>8636.59</td>
<td>5588.38</td>
<td>3861.06</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>20.061256</td>
<td>13547.59</td>
<td>13547.59</td>
<td>11515.45</td>
<td>7451.17</td>
<td>5148.08</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>128</td>
<td>40.122513</td>
<td>27095.18</td>
<td>27095.18</td>
<td>23030.9</td>
<td>14902.35</td>
<td>10296.17</td>
</tr>
<tr>
<td>计算型 ecs.c7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>80.245028</td>
<td>54190.36</td>
<td>54190.36</td>
<td>46061.81</td>
<td>29804.7</td>
<td>20592.34</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>80.24502</td>
<td>54190.36</td>
<td>54190.36</td>
<td>46061.81</td>
<td>29804.7</td>
<td>20592.34</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>89.87442</td>
<td>60721.86</td>
<td>60721.86</td>
<td>51613.58</td>
<td>33397.02</td>
<td>23074.31</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.large</td>
<td>2</td>
<td>8</td>
<td>1.475</td>
<td>996.22</td>
<td>996.22</td>
<td>846.79</td>
<td>547.92</td>
<td>378.56</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.949</td>
<td>1992.44</td>
<td>1992.44</td>
<td>1693.57</td>
<td>1095.84</td>
<td>757.13</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.898</td>
<td>3984.87</td>
<td>3984.87</td>
<td>3387.14</td>
<td>2191.68</td>
<td>1514.25</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.847</td>
<td>5977.31</td>
<td>5977.31</td>
<td>5080.71</td>
<td>3287.52</td>
<td>2271.38</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.796</td>
<td>7969.74</td>
<td>7969.74</td>
<td>6774.28</td>
<td>4383.36</td>
<td>3028.5</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.6xlarge</td>
<td>24</td>
<td>96</td>
<td>17.694</td>
<td>11954.62</td>
<td>11954.62</td>
<td>10161.42</td>
<td>6575.04</td>
<td>4542.75</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.8xlarge</td>
<td>32</td>
<td>128</td>
<td>23.592</td>
<td>15939.49</td>
<td>15939.49</td>
<td>13548.57</td>
<td>8766.72</td>
<td>6057.01</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.16xlarge</td>
<td>64</td>
<td>256</td>
<td>47.184</td>
<td>31878.98</td>
<td>31878.98</td>
<td>27097.13</td>
<td>17533.44</td>
<td>12114.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.9435</td>
<td>566.95</td>
<td>566.95</td>
<td>481.91</td>
<td>311.82</td>
<td>215.44</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.88615</td>
<td>1133.9</td>
<td>1133.9</td>
<td>963.82</td>
<td>623.64</td>
<td>430.88</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.7723</td>
<td>2267.8</td>
<td>2267.8</td>
<td>1927.63</td>
<td>1247.29</td>
<td>861.76</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>7.5446</td>
<td>4535.6</td>
<td>4535.6</td>
<td>3855.26</td>
<td>2494.58</td>
<td>1723.53</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>15.0892</td>
<td>9071.2</td>
<td>9071.2</td>
<td>7710.52</td>
<td>4989.16</td>
<td>3447.06</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>30.1784</td>
<td>18142.4</td>
<td>18142.4</td>
<td>15421.04</td>
<td>9978.32</td>
<td>6894.11</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>60.3568</td>
<td>36284.8</td>
<td>36284.8</td>
<td>30842.08</td>
<td>19956.64</td>
<td>13788.22</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>1.2155</td>
<td>712.22</td>
<td>712.22</td>
<td>605.39</td>
<td>391.72</td>
<td>270.65</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.4395</td>
<td>1424.44</td>
<td>1424.44</td>
<td>1210.77</td>
<td>783.44</td>
<td>541.29</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.879</td>
<td>2848.87</td>
<td>2848.87</td>
<td>2421.54</td>
<td>1566.88</td>
<td>1082.57</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>9.758</td>
<td>5697.74</td>
<td>5697.74</td>
<td>4843.08</td>
<td>3133.76</td>
<td>2165.14</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>19.516</td>
<td>11395.47</td>
<td>11395.47</td>
<td>9686.15</td>
<td>6267.51</td>
<td>4330.28</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>39.032</td>
<td>22790.95</td>
<td>22790.95</td>
<td>19372.31</td>
<td>12535.02</td>
<td>8660.56</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>78.064</td>
<td>45581.9</td>
<td>45581.9</td>
<td>38744.61</td>
<td>25070.04</td>
<td>17321.12</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>1.377</td>
<td>768.4</td>
<td>768.4</td>
<td>653.14</td>
<td>422.62</td>
<td>291.99</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.7455</td>
<td>1537.65</td>
<td>1537.65</td>
<td>1307</td>
<td>845.71</td>
<td>584.31</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.4995</td>
<td>3074.45</td>
<td>3074.45</td>
<td>2613.28</td>
<td>1690.95</td>
<td>1168.29</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>10.999</td>
<td>6148.9</td>
<td>6148.9</td>
<td>5226.56</td>
<td>3381.89</td>
<td>2336.58</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>21.998</td>
<td>12297.8</td>
<td>12297.8</td>
<td>10453.13</td>
<td>6763.79</td>
<td>4673.16</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>43.996</td>
<td>24595.6</td>
<td>24595.6</td>
<td>20906.26</td>
<td>13527.58</td>
<td>9346.33</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>87.992</td>
<td>49191.2</td>
<td>49191.2</td>
<td>41812.52</td>
<td>27055.16</td>
<td>18692.66</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>19.924968</td>
<td>9563.98</td>
<td>9563.98</td>
<td>8129.39</td>
<td>5260.19</td>
<td>3634.31</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c16g1.4xlarge</td>
<td>16</td>
<td>60</td>
<td>24.344084</td>
<td>11685.16</td>
<td>11685.16</td>
<td>9932.39</td>
<td>6426.84</td>
<td>4440.36</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.8xlarge</td>
<td>32</td>
<td>188</td>
<td>33.182315</td>
<td>15927.51</td>
<td>15927.51</td>
<td>13538.39</td>
<td>8760.13</td>
<td>6052.45</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c48g1.12xlarge</td>
<td>48</td>
<td>310</td>
<td>39.818778</td>
<td>19113.01</td>
<td>19113.01</td>
<td>16246.06</td>
<td>10512.16</td>
<td>7262.95</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c56g1.14xlarge</td>
<td>56</td>
<td>346</td>
<td>47.782534</td>
<td>22935.62</td>
<td>22935.62</td>
<td>19495.27</td>
<td>12614.59</td>
<td>8715.53</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.16xlarge</td>
<td>64</td>
<td>376</td>
<td>66.364631</td>
<td>31855.02</td>
<td>31855.02</td>
<td>27076.77</td>
<td>17520.26</td>
<td>12104.91</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.32xlarge</td>
<td>128</td>
<td>752</td>
<td>132.729262</td>
<td>63710.05</td>
<td>63710.05</td>
<td>54153.54</td>
<td>35040.53</td>
<td>24209.82</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.large</td>
<td>2</td>
<td>16</td>
<td>1.9102</td>
<td>1249.66</td>
<td>1249.66</td>
<td>1062.21</td>
<td>687.31</td>
<td>474.87</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.8205</td>
<td>2499.31</td>
<td>2499.31</td>
<td>2124.42</td>
<td>1374.62</td>
<td>949.74</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.2xlarge</td>
<td>8</td>
<td>64</td>
<td>7.641</td>
<td>4998.63</td>
<td>4998.63</td>
<td>4248.83</td>
<td>2749.25</td>
<td>1899.48</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.3xlarge</td>
<td>12</td>
<td>96</td>
<td>11.4615</td>
<td>7497.94</td>
<td>7497.94</td>
<td>6373.25</td>
<td>4123.87</td>
<td>2849.22</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.4xlarge</td>
<td>16</td>
<td>128</td>
<td>15.2819</td>
<td>9997.26</td>
<td>9997.26</td>
<td>8497.67</td>
<td>5498.49</td>
<td>3798.96</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.6xlarge</td>
<td>24</td>
<td>192</td>
<td>22.9229</td>
<td>14995.89</td>
<td>14995.89</td>
<td>12746.5</td>
<td>8247.74</td>
<td>5698.44</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.8xlarge</td>
<td>32</td>
<td>256</td>
<td>30.5639</td>
<td>19994.52</td>
<td>19994.52</td>
<td>16995.34</td>
<td>10996.98</td>
<td>7597.92</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.16xlarge</td>
<td>64</td>
<td>512</td>
<td>61.1279</td>
<td>39989.03</td>
<td>39989.03</td>
<td>33990.68</td>
<td>21993.97</td>
<td>15195.83</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.large</td>
<td>2</td>
<td>8</td>
<td>1.61493</td>
<td>1091.1</td>
<td>1091.1</td>
<td>927.43</td>
<td>600.1</td>
<td>414.62</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.229861</td>
<td>2182.2</td>
<td>2182.2</td>
<td>1854.86</td>
<td>1200.21</td>
<td>829.23</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.459724</td>
<td>4364.38</td>
<td>4364.38</td>
<td>3709.73</td>
<td>2400.41</td>
<td>1658.47</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.689586</td>
<td>6546.58</td>
<td>6546.58</td>
<td>5564.59</td>
<td>3600.62</td>
<td>2487.7</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.919449</td>
<td>8728.77</td>
<td>8728.77</td>
<td>7419.45</td>
<td>4800.82</td>
<td>3316.93</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.6xlarge</td>
<td>24</td>
<td>96</td>
<td>19.379173</td>
<td>13093.15</td>
<td>13093.15</td>
<td>11129.18</td>
<td>7201.23</td>
<td>4975.4</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.838899</td>
<td>17457.53</td>
<td>17457.53</td>
<td>14838.9</td>
<td>9601.64</td>
<td>6633.86</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.16xlarge</td>
<td>64</td>
<td>256</td>
<td>51.677798</td>
<td>34915.07</td>
<td>34915.07</td>
<td>29677.81</td>
<td>19203.29</td>
<td>13267.73</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2.xlarge</td>
<td>4</td>
<td>15.5</td>
<td>3.472593</td>
<td>1666.84</td>
<td>1666.84</td>
<td>1416.82</td>
<td>916.76</td>
<td>633.4</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2s.xlarge</td>
<td>4</td>
<td>8</td>
<td>3.472593</td>
<td>1666.84</td>
<td>1666.84</td>
<td>1416.82</td>
<td>916.76</td>
<td>633.4</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>6.47525</td>
<td>3108.12</td>
<td>3108.12</td>
<td>2641.9</td>
<td>1709.47</td>
<td>1181.09</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>6.47525</td>
<td>3108.12</td>
<td>3108.12</td>
<td>2641.9</td>
<td>1709.47</td>
<td>1181.09</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8.4xlarge</td>
<td>16</td>
<td>62</td>
<td>12.376935</td>
<td>5940.93</td>
<td>5940.93</td>
<td>5049.79</td>
<td>3267.51</td>
<td>2257.55</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8s.4xlarge</td>
<td>16</td>
<td>32</td>
<td>12.376935</td>
<td>5940.93</td>
<td>5940.93</td>
<td>5049.79</td>
<td>3267.51</td>
<td>2257.55</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.4xlarge</td>
<td>16</td>
<td>125</td>
<td>48.493</td>
<td>23276.62</td>
<td>23276.62</td>
<td>19785.13</td>
<td>12802.14</td>
<td>8845.11</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.8xlarge</td>
<td>32</td>
<td>250</td>
<td>96.986</td>
<td>46553.24</td>
<td>46553.24</td>
<td>39570.25</td>
<td>25604.28</td>
<td>17690.23</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.16xlarge</td>
<td>64</td>
<td>500</td>
<td>193.9718</td>
<td>93106.47</td>
<td>93106.47</td>
<td>79140.5</td>
<td>51208.56</td>
<td>35380.46</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.32xlarge</td>
<td>128</td>
<td>1000</td>
<td>387.9436</td>
<td>186212.94</td>
<td>186212.94</td>
<td>158281</td>
<td>102417.12</td>
<td>70760.92</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.large</td>
<td>2</td>
<td>4</td>
<td>1.423095</td>
<td>941.73</td>
<td>941.73</td>
<td>800.47</td>
<td>517.95</td>
<td>357.86</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.84619</td>
<td>1883.46</td>
<td>1883.46</td>
<td>1600.94</td>
<td>1035.9</td>
<td>715.71</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.2xlarge</td>
<td>8</td>
<td>16</td>
<td>5.692381</td>
<td>3766.92</td>
<td>3766.92</td>
<td>3201.88</td>
<td>2071.81</td>
<td>1431.43</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.large</td>
<td>2</td>
<td>8</td>
<td>1.611169</td>
<td>1069.3</td>
<td>1069.3</td>
<td>908.9</td>
<td>588.11</td>
<td>406.33</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.222339</td>
<td>2138.6</td>
<td>2138.6</td>
<td>1817.81</td>
<td>1176.23</td>
<td>812.67</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.444678</td>
<td>4277.19</td>
<td>4277.19</td>
<td>3635.61</td>
<td>2352.46</td>
<td>1625.33</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>1.51</td>
<td>872.87</td>
<td>872.87</td>
<td>741.94</td>
<td>480.08</td>
<td>331.69</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.02</td>
<td>1745.74</td>
<td>1745.74</td>
<td>1483.88</td>
<td>960.16</td>
<td>663.38</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.04</td>
<td>3491.48</td>
<td>3491.48</td>
<td>2967.76</td>
<td>1920.31</td>
<td>1326.76</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.06</td>
<td>5237.22</td>
<td>5237.22</td>
<td>4451.64</td>
<td>2880.47</td>
<td>1990.14</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.08</td>
<td>6982.96</td>
<td>6982.96</td>
<td>5935.52</td>
<td>3840.63</td>
<td>2653.52</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>18.12</td>
<td>10474.44</td>
<td>10474.44</td>
<td>8903.27</td>
<td>5760.94</td>
<td>3980.29</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>24.16</td>
<td>13965.92</td>
<td>13965.92</td>
<td>11871.03</td>
<td>7681.26</td>
<td>5307.05</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>39.26</td>
<td>22694.62</td>
<td>22694.62</td>
<td>19290.43</td>
<td>12482.04</td>
<td>8623.96</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>78.52</td>
<td>45389.24</td>
<td>45389.24</td>
<td>38580.85</td>
<td>24964.08</td>
<td>17247.91</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>9.31</td>
<td>4791.02</td>
<td>4791.02</td>
<td>4072.37</td>
<td>2635.06</td>
<td>1820.59</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>12.21</td>
<td>6279.94</td>
<td>6279.94</td>
<td>5337.95</td>
<td>3453.97</td>
<td>2386.38</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>18</td>
<td>9257.78</td>
<td>9257.78</td>
<td>7869.11</td>
<td>5091.78</td>
<td>3517.96</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>23.97</td>
<td>12328.27</td>
<td>12328.27</td>
<td>10479.03</td>
<td>6780.55</td>
<td>4684.74</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c40g1.10xlarge</td>
<td>40</td>
<td>155</td>
<td>35.289</td>
<td>18191.39</td>
<td>18191.39</td>
<td>15462.68</td>
<td>10005.26</td>
<td>6912.73</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>47.96</td>
<td>24663.16</td>
<td>24663.16</td>
<td>20963.69</td>
<td>13564.74</td>
<td>9372</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>95.14</td>
<td>48929.27</td>
<td>48929.27</td>
<td>41589.88</td>
<td>26911.1</td>
<td>18593.12</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>78.52</td>
<td>45389.24</td>
<td>45389.24</td>
<td>38580.85</td>
<td>24964.08</td>
<td>17247.91</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>1.661</td>
<td>960.16</td>
<td>960.16</td>
<td>816.13</td>
<td>528.09</td>
<td>364.86</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.322</td>
<td>1920.31</td>
<td>1920.31</td>
<td>1632.27</td>
<td>1056.17</td>
<td>729.72</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.644</td>
<td>3840.63</td>
<td>3840.63</td>
<td>3264.53</td>
<td>2112.35</td>
<td>1459.44</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.288</td>
<td>7681.26</td>
<td>7681.26</td>
<td>6529.07</td>
<td>4224.69</td>
<td>2918.88</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>26.576</td>
<td>15362.51</td>
<td>15362.51</td>
<td>13058.13</td>
<td>8449.38</td>
<td>5837.75</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>43.186</td>
<td>24964.08</td>
<td>24964.08</td>
<td>21219.47</td>
<td>13730.25</td>
<td>9486.35</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>1.24</td>
<td>746.86</td>
<td>746.86</td>
<td>634.83</td>
<td>410.77</td>
<td>283.81</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.48</td>
<td>1493.72</td>
<td>1493.72</td>
<td>1269.66</td>
<td>821.55</td>
<td>567.61</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.96</td>
<td>2987.44</td>
<td>2987.44</td>
<td>2539.32</td>
<td>1643.09</td>
<td>1135.23</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>7.44</td>
<td>4481.16</td>
<td>4481.16</td>
<td>3808.99</td>
<td>2464.64</td>
<td>1702.84</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>9.92</td>
<td>5974.88</td>
<td>5974.88</td>
<td>5078.65</td>
<td>3286.18</td>
<td>2270.45</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>14.88</td>
<td>8962.32</td>
<td>8962.32</td>
<td>7617.97</td>
<td>4929.28</td>
<td>3405.68</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>19.84</td>
<td>11949.76</td>
<td>11949.76</td>
<td>10157.3</td>
<td>6572.37</td>
<td>4540.91</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>32.24</td>
<td>19418.36</td>
<td>19418.36</td>
<td>16505.61</td>
<td>10680.1</td>
<td>7378.98</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>64.48</td>
<td>38836.72</td>
<td>38836.72</td>
<td>33011.21</td>
<td>21360.2</td>
<td>14757.95</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>1.75</td>
<td>971.51</td>
<td>971.51</td>
<td>825.78</td>
<td>534.33</td>
<td>369.17</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.5</td>
<td>1943.02</td>
<td>1943.02</td>
<td>1651.57</td>
<td>1068.66</td>
<td>738.35</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>7</td>
<td>3886.04</td>
<td>3886.04</td>
<td>3303.13</td>
<td>2137.32</td>
<td>1476.7</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>10.5</td>
<td>5829.06</td>
<td>5829.06</td>
<td>4954.7</td>
<td>3205.98</td>
<td>2215.04</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>14</td>
<td>7772.08</td>
<td>7772.08</td>
<td>6606.27</td>
<td>4274.64</td>
<td>2953.39</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>21</td>
<td>11658.12</td>
<td>11658.12</td>
<td>9909.4</td>
<td>6411.97</td>
<td>4430.09</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>28</td>
<td>15544.16</td>
<td>15544.16</td>
<td>13212.54</td>
<td>8549.29</td>
<td>5906.78</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>45.5</td>
<td>25259.26</td>
<td>25259.26</td>
<td>21470.37</td>
<td>13892.59</td>
<td>9598.52</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>91</td>
<td>50518.52</td>
<td>50518.52</td>
<td>42940.74</td>
<td>27785.19</td>
<td>19197.04</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.08</td>
<td>40.33</td>
<td>40.33</td>
<td>34.28</td>
<td>22.18</td>
<td>15.33</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.15</td>
<td>80.66</td>
<td>80.66</td>
<td>68.56</td>
<td>44.36</td>
<td>30.65</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.29</td>
<td>161.33</td>
<td>161.33</td>
<td>137.13</td>
<td>88.73</td>
<td>61.31</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.46</td>
<td>241.57</td>
<td>241.57</td>
<td>205.33</td>
<td>132.86</td>
<td>91.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.87</td>
<td>443.16</td>
<td>443.16</td>
<td>376.69</td>
<td>243.74</td>
<td>168.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.85</td>
<td>966.56</td>
<td>966.56</td>
<td>821.58</td>
<td>531.61</td>
<td>367.29</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.69</td>
<td>1933.19</td>
<td>1933.19</td>
<td>1643.21</td>
<td>1063.25</td>
<td>734.61</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>1.43</td>
<td>858.94</td>
<td>858.94</td>
<td>730.1</td>
<td>472.42</td>
<td>326.4</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.86</td>
<td>1717.88</td>
<td>1717.88</td>
<td>1460.2</td>
<td>944.83</td>
<td>652.79</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>5.72</td>
<td>3435.76</td>
<td>3435.76</td>
<td>2920.4</td>
<td>1889.67</td>
<td>1305.59</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>8.58</td>
<td>5153.64</td>
<td>5153.64</td>
<td>4380.59</td>
<td>2834.5</td>
<td>1958.38</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>11.44</td>
<td>6871.52</td>
<td>6871.52</td>
<td>5840.79</td>
<td>3779.34</td>
<td>2611.18</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>17.16</td>
<td>10307.28</td>
<td>10307.28</td>
<td>8761.19</td>
<td>5669</td>
<td>3916.77</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>22.88</td>
<td>13743.04</td>
<td>13743.04</td>
<td>11681.58</td>
<td>7558.67</td>
<td>5222.36</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>28.6</td>
<td>17178.8</td>
<td>17178.8</td>
<td>14601.98</td>
<td>9448.34</td>
<td>6527.94</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>45.76</td>
<td>27486.08</td>
<td>27486.08</td>
<td>23363.17</td>
<td>15117.34</td>
<td>10444.71</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>57.2</td>
<td>34357.6</td>
<td>34357.6</td>
<td>29203.96</td>
<td>18896.68</td>
<td>13055.89</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>1.66</td>
<td>960.15</td>
<td>960.15</td>
<td>816.13</td>
<td>528.08</td>
<td>364.86</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.32</td>
<td>1920.3</td>
<td>1920.3</td>
<td>1632.26</td>
<td>1056.16</td>
<td>729.71</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.64</td>
<td>3840.6</td>
<td>3840.6</td>
<td>3264.51</td>
<td>2112.33</td>
<td>1459.43</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.96</td>
<td>5760.9</td>
<td>5760.9</td>
<td>4896.77</td>
<td>3168.5</td>
<td>2189.14</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.28</td>
<td>7681.2</td>
<td>7681.2</td>
<td>6529.02</td>
<td>4224.66</td>
<td>2918.86</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>19.92</td>
<td>11521.8</td>
<td>11521.8</td>
<td>9793.53</td>
<td>6336.99</td>
<td>4378.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>26.56</td>
<td>15362.4</td>
<td>15362.4</td>
<td>13058.04</td>
<td>8449.32</td>
<td>5837.71</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>33.2</td>
<td>19203</td>
<td>19203</td>
<td>16322.55</td>
<td>10561.65</td>
<td>7297.14</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>53.12</td>
<td>30724.8</td>
<td>30724.8</td>
<td>26116.08</td>
<td>16898.64</td>
<td>11675.42</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>66.4</td>
<td>38406</td>
<td>38406</td>
<td>32645.1</td>
<td>21123.3</td>
<td>14594.28</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>31.807723</td>
<td>16933.39</td>
<td>16933.39</td>
<td>14393.38</td>
<td>9313.36</td>
<td>6434.69</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>127.230894</td>
<td>67733.55</td>
<td>67733.55</td>
<td>57573.51</td>
<td>37253.45</td>
<td>25738.75</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>254.461788</td>
<td>135467.09</td>
<td>135467.09</td>
<td>115147.03</td>
<td>74506.9</td>
<td>51477.5</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>1.92</td>
<td>1068.68</td>
<td>1068.68</td>
<td>908.38</td>
<td>587.77</td>
<td>406.1</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.84</td>
<td>2137.36</td>
<td>2137.36</td>
<td>1816.76</td>
<td>1175.55</td>
<td>812.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>7.68</td>
<td>4274.72</td>
<td>4274.72</td>
<td>3633.51</td>
<td>2351.1</td>
<td>1624.39</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>11.52</td>
<td>6412.08</td>
<td>6412.08</td>
<td>5450.27</td>
<td>3526.64</td>
<td>2436.59</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>15.36</td>
<td>8549.44</td>
<td>8549.44</td>
<td>7267.02</td>
<td>4702.19</td>
<td>3248.79</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>23.04</td>
<td>12824.16</td>
<td>12824.16</td>
<td>10900.54</td>
<td>7053.29</td>
<td>4873.18</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>30.72</td>
<td>17098.88</td>
<td>17098.88</td>
<td>14534.05</td>
<td>9404.38</td>
<td>6497.57</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>38.4</td>
<td>21373.6</td>
<td>21373.6</td>
<td>18167.56</td>
<td>11755.48</td>
<td>8121.97</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>61.44</td>
<td>34197.76</td>
<td>34197.76</td>
<td>29068.1</td>
<td>18808.77</td>
<td>12995.15</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>76.8</td>
<td>42747.2</td>
<td>42747.2</td>
<td>36335.12</td>
<td>23510.96</td>
<td>16243.94</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>64.48</td>
<td>38836.72</td>
<td>38836.72</td>
<td>33011.21</td>
<td>21360.2</td>
<td>14757.95</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>91</td>
<td>50518.52</td>
<td>50518.52</td>
<td>42940.74</td>
<td>27785.19</td>
<td>19197.04</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>57.2</td>
<td>34357.6</td>
<td>34357.6</td>
<td>29203.96</td>
<td>18896.68</td>
<td>13055.89</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.13xlarge</td>
<td>52</td>
<td>768</td>
<td>56.9</td>
<td>31370.36</td>
<td>31370.36</td>
<td>26664.81</td>
<td>17253.7</td>
<td>11920.74</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.26xlarge</td>
<td>104</td>
<td>1536</td>
<td>113.8</td>
<td>62740.72</td>
<td>62740.72</td>
<td>53329.61</td>
<td>34507.4</td>
<td>23841.47</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.52xlarge</td>
<td>208</td>
<td>3072</td>
<td>227.6</td>
<td>125481.44</td>
<td>125481.44</td>
<td>106659.22</td>
<td>69014.79</td>
<td>47682.95</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>1.925</td>
<td>1068.66</td>
<td>1068.66</td>
<td>908.36</td>
<td>587.76</td>
<td>406.09</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.85</td>
<td>2137.33</td>
<td>2137.33</td>
<td>1816.72</td>
<td>1175.53</td>
<td>812.18</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>7.7</td>
<td>4274.64</td>
<td>4274.64</td>
<td>3633.45</td>
<td>2351.05</td>
<td>1624.36</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>15.4</td>
<td>8549.28</td>
<td>8549.28</td>
<td>7266.9</td>
<td>4702.11</td>
<td>3248.73</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>30.8</td>
<td>17098.58</td>
<td>17098.58</td>
<td>14533.79</td>
<td>9404.22</td>
<td>6497.46</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>50.05</td>
<td>27785.19</td>
<td>27785.19</td>
<td>23617.41</td>
<td>15281.85</td>
<td>10558.37</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>1.302</td>
<td>784.2</td>
<td>784.2</td>
<td>666.57</td>
<td>431.31</td>
<td>298</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.604</td>
<td>1568.41</td>
<td>1568.41</td>
<td>1333.14</td>
<td>862.62</td>
<td>595.99</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>5.208</td>
<td>3136.81</td>
<td>3136.81</td>
<td>2666.29</td>
<td>1725.25</td>
<td>1191.99</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>10.416</td>
<td>6273.62</td>
<td>6273.62</td>
<td>5332.58</td>
<td>3450.49</td>
<td>2383.98</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>20.832</td>
<td>12547.25</td>
<td>12547.25</td>
<td>10665.16</td>
<td>6900.99</td>
<td>4767.95</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>33.852</td>
<td>20389.28</td>
<td>20389.28</td>
<td>17330.89</td>
<td>11214.1</td>
<td>7747.93</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>67.704</td>
<td>40778.56</td>
<td>40778.56</td>
<td>34661.77</td>
<td>22428.21</td>
<td>15495.85</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.large</td>
<td>2</td>
<td>4</td>
<td>1.68277</td>
<td>807.73</td>
<td>807.73</td>
<td>686.57</td>
<td>444.25</td>
<td>306.94</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.xlarge</td>
<td>4</td>
<td>8</td>
<td>3.365541</td>
<td>1615.46</td>
<td>1615.46</td>
<td>1373.14</td>
<td>888.5</td>
<td>613.87</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>6.731082</td>
<td>3230.92</td>
<td>3230.92</td>
<td>2746.28</td>
<td>1777.01</td>
<td>1227.75</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.4xlarge</td>
<td>16</td>
<td>32</td>
<td>13.462145</td>
<td>6461.83</td>
<td>6461.83</td>
<td>5492.56</td>
<td>3554.01</td>
<td>2455.5</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.8xlarge</td>
<td>32</td>
<td>64</td>
<td>26.924312</td>
<td>12923.67</td>
<td>12923.67</td>
<td>10985.12</td>
<td>7108.02</td>
<td>4910.99</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.13xlarge</td>
<td>52</td>
<td>96</td>
<td>43.751999</td>
<td>21000.96</td>
<td>21000.96</td>
<td>17850.82</td>
<td>11550.53</td>
<td>7980.36</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.26xlarge</td>
<td>104</td>
<td>192</td>
<td>87.503978</td>
<td>42001.91</td>
<td>42001.91</td>
<td>35701.62</td>
<td>23101.05</td>
<td>15960.73</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>15.54</td>
<td>7461.99</td>
<td>7088.89</td>
<td>5596.49</td>
<td>3357.9</td>
<td>2238.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>18.71</td>
<td>8985.99</td>
<td>8536.69</td>
<td>6739.49</td>
<td>4043.7</td>
<td>2695.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>31.09</td>
<td>14924.99</td>
<td>14178.74</td>
<td>11193.74</td>
<td>6716.25</td>
<td>4477.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>37.44</td>
<td>17971.99</td>
<td>17073.39</td>
<td>13478.99</td>
<td>8087.4</td>
<td>5391.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>29.04</td>
<td>13939.99</td>
<td>13242.99</td>
<td>10454.99</td>
<td>6273</td>
<td>4182</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>58.08</td>
<td>27879.99</td>
<td>26485.99</td>
<td>20909.99</td>
<td>12546</td>
<td>8364</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>1.11</td>
<td>666.99</td>
<td>666.99</td>
<td>566.94</td>
<td>366.84</td>
<td>253.46</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.219</td>
<td>1333.99</td>
<td>1333.99</td>
<td>1133.89</td>
<td>733.69</td>
<td>506.92</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.438</td>
<td>2667.99</td>
<td>2667.99</td>
<td>2267.79</td>
<td>1467.39</td>
<td>1013.84</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>6.656</td>
<td>4001.99</td>
<td>4001.99</td>
<td>3401.69</td>
<td>2201.09</td>
<td>1520.76</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>8.87</td>
<td>5335.99</td>
<td>5335.99</td>
<td>4535.59</td>
<td>2934.79</td>
<td>2027.68</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>13.31</td>
<td>8004.59</td>
<td>8004.59</td>
<td>6803.9</td>
<td>4402.52</td>
<td>3041.74</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>17.749</td>
<td>10672.79</td>
<td>10672.79</td>
<td>9071.87</td>
<td>5870.03</td>
<td>4055.66</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>35.497</td>
<td>21345.59</td>
<td>21345.59</td>
<td>18143.75</td>
<td>11740.07</td>
<td>8111.32</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>1.43</td>
<td>837.9</td>
<td>837.9</td>
<td>712.22</td>
<td>460.84</td>
<td>318.4</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.87</td>
<td>1675.8</td>
<td>1675.8</td>
<td>1424.43</td>
<td>921.69</td>
<td>636.8</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.74</td>
<td>3351.6</td>
<td>3351.6</td>
<td>2848.86</td>
<td>1843.38</td>
<td>1273.61</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.6</td>
<td>5026.99</td>
<td>5026.99</td>
<td>4272.94</td>
<td>2764.84</td>
<td>1910.26</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.47</td>
<td>6702.99</td>
<td>6702.99</td>
<td>5697.54</td>
<td>3686.64</td>
<td>2547.14</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>17.21</td>
<td>10054.94</td>
<td>10054.94</td>
<td>8546.7</td>
<td>5530.22</td>
<td>3820.88</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.94</td>
<td>13405.99</td>
<td>13405.99</td>
<td>11395.09</td>
<td>7373.29</td>
<td>5094.28</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>45.89</td>
<td>26812.99</td>
<td>26812.99</td>
<td>22791.04</td>
<td>14747.14</td>
<td>10188.94</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>1.62</td>
<td>903.99</td>
<td>903.99</td>
<td>768.39</td>
<td>497.19</td>
<td>343.52</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.23</td>
<td>1808.99</td>
<td>1808.99</td>
<td>1537.64</td>
<td>994.94</td>
<td>687.42</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.47</td>
<td>3616.99</td>
<td>3616.99</td>
<td>3074.44</td>
<td>1989.34</td>
<td>1374.46</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>9.7</td>
<td>5425.99</td>
<td>5425.99</td>
<td>4612.09</td>
<td>2984.29</td>
<td>2061.88</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.93</td>
<td>7234.99</td>
<td>7234.99</td>
<td>6149.74</td>
<td>3979.24</td>
<td>2749.3</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>19.4</td>
<td>10851.99</td>
<td>10851.99</td>
<td>9224.19</td>
<td>5968.59</td>
<td>4123.76</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>25.86</td>
<td>14468.99</td>
<td>14468.99</td>
<td>12298.64</td>
<td>7957.94</td>
<td>5498.22</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>51.73</td>
<td>28937.99</td>
<td>28937.99</td>
<td>24597.29</td>
<td>15915.89</td>
<td>10996.44</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>1.33</td>
<td>801.99</td>
<td>761.89</td>
<td>601.49</td>
<td>360.9</td>
<td>240.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.66</td>
<td>1603.99</td>
<td>1523.79</td>
<td>1202.99</td>
<td>721.8</td>
<td>481.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>5.33</td>
<td>3203.81</td>
<td>3043.62</td>
<td>2402.86</td>
<td>1441.71</td>
<td>961.14</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>7.99</td>
<td>4805.75</td>
<td>4565.46</td>
<td>3604.31</td>
<td>2162.59</td>
<td>1441.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>10.66</td>
<td>6407.55</td>
<td>6087.17</td>
<td>4805.66</td>
<td>2883.4</td>
<td>1922.26</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>15.99</td>
<td>9610.99</td>
<td>9130.44</td>
<td>7208.24</td>
<td>4324.95</td>
<td>2883.3</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>21.32</td>
<td>12814.99</td>
<td>12174.24</td>
<td>9611.24</td>
<td>5766.75</td>
<td>3844.5</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>1.468</td>
<td>881.99</td>
<td>837.89</td>
<td>661.49</td>
<td>396.9</td>
<td>264.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.94</td>
<td>1764.67</td>
<td>1676.44</td>
<td>1323.5</td>
<td>794.1</td>
<td>529.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.87</td>
<td>3523.99</td>
<td>3347.79</td>
<td>2642.99</td>
<td>1585.8</td>
<td>1057.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.81</td>
<td>5285.99</td>
<td>5021.69</td>
<td>3964.49</td>
<td>2378.7</td>
<td>1585.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.736</td>
<td>7047.99</td>
<td>6695.59</td>
<td>5285.99</td>
<td>3171.6</td>
<td>2114.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>17.607</td>
<td>10572.51</td>
<td>10043.88</td>
<td>7929.38</td>
<td>4757.63</td>
<td>3171.75</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>23.471</td>
<td>14096.65</td>
<td>13391.82</td>
<td>10572.49</td>
<td>6343.49</td>
<td>4228.99</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>41.077</td>
<td>24668.99</td>
<td>23435.54</td>
<td>18501.74</td>
<td>11101.05</td>
<td>7400.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.06</td>
<td>28.99</td>
<td>27.54</td>
<td>21.74</td>
<td>13.05</td>
<td>8.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.12</td>
<td>54.99</td>
<td>52.24</td>
<td>41.24</td>
<td>24.75</td>
<td>16.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.18</td>
<td>89.99</td>
<td>85.49</td>
<td>67.49</td>
<td>40.5</td>
<td>27</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>147.99</td>
<td>140.59</td>
<td>110.99</td>
<td>66.6</td>
<td>44.4</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>203.99</td>
<td>193.79</td>
<td>152.99</td>
<td>91.8</td>
<td>61.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.58</td>
<td>292.99</td>
<td>278.34</td>
<td>219.74</td>
<td>131.85</td>
<td>87.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.35</td>
<td>178.99</td>
<td>170.04</td>
<td>134.24</td>
<td>80.55</td>
<td>53.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.49</td>
<td>245.99</td>
<td>233.69</td>
<td>184.49</td>
<td>110.7</td>
<td>73.8</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>293.99</td>
<td>279.29</td>
<td>220.49</td>
<td>132.3</td>
<td>88.2</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>407.99</td>
<td>387.59</td>
<td>305.99</td>
<td>183.6</td>
<td>122.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.16</td>
<td>585.99</td>
<td>556.69</td>
<td>439.49</td>
<td>263.7</td>
<td>175.8</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>587.99</td>
<td>558.59</td>
<td>440.99</td>
<td>264.6</td>
<td>176.4</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>815.99</td>
<td>775.19</td>
<td>611.99</td>
<td>367.2</td>
<td>244.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.31</td>
<td>1170.99</td>
<td>1112.44</td>
<td>878.24</td>
<td>526.95</td>
<td>351.3</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>1175.99</td>
<td>1117.19</td>
<td>881.99</td>
<td>529.2</td>
<td>352.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.19</td>
<td>1629.99</td>
<td>1548.49</td>
<td>1222.49</td>
<td>733.5</td>
<td>489</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg5.24xlarge</td>
<td>96</td>
<td>384</td>
<td>70.452</td>
<td>40219.6</td>
<td>38208.62</td>
<td>30164.7</td>
<td>18098.82</td>
<td>12065.88</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>1.05</td>
<td>633.99</td>
<td>633.99</td>
<td>538.89</td>
<td>348.69</td>
<td>240.92</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>2.11</td>
<td>1266.99</td>
<td>1266.99</td>
<td>1076.94</td>
<td>696.84</td>
<td>481.46</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>4.22</td>
<td>2530.99</td>
<td>2530.99</td>
<td>2151.34</td>
<td>1392.04</td>
<td>961.78</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>6.32</td>
<td>3796.99</td>
<td>3796.99</td>
<td>3227.44</td>
<td>2088.34</td>
<td>1442.86</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>8.43</td>
<td>5061.99</td>
<td>5061.99</td>
<td>4302.69</td>
<td>2784.09</td>
<td>1923.56</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>12.65</td>
<td>7592.99</td>
<td>7592.99</td>
<td>6454.04</td>
<td>4176.14</td>
<td>2885.34</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>16.86</td>
<td>10123.99</td>
<td>10123.99</td>
<td>8605.39</td>
<td>5568.19</td>
<td>3847.12</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>33.72</td>
<td>20247.99</td>
<td>20247.99</td>
<td>17210.79</td>
<td>11136.39</td>
<td>7694.24</td>
</tr>
<tr>
<td>通用型弹性裸金属服务器 ecs.ebmg5s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>68.83</td>
<td>40219</td>
<td>38208.05</td>
<td>30164.25</td>
<td>18098.55</td>
<td>12065.7</td>
</tr>
<tr>
<td>计算型弹性裸金属服务器 ecs.ebmc5s.24xlarge</td>
<td>96</td>
<td>192</td>
<td>53.246</td>
<td>32018.4</td>
<td>32018.4</td>
<td>27215.64</td>
<td>17610.12</td>
<td>12166.99</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>2.197249</td>
<td>1054.68</td>
<td>1054.68</td>
<td>896.48</td>
<td>580.07</td>
<td>400.78</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>4.394499</td>
<td>2109.37</td>
<td>2109.37</td>
<td>1792.96</td>
<td>1160.15</td>
<td>801.56</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>8.777</td>
<td>4218.71</td>
<td>4218.71</td>
<td>3585.9</td>
<td>2320.29</td>
<td>1603.11</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>17.554</td>
<td>8437.43</td>
<td>8437.43</td>
<td>7171.82</td>
<td>4640.59</td>
<td>3206.22</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>35.108</td>
<td>16874.87</td>
<td>16874.87</td>
<td>14343.64</td>
<td>9281.18</td>
<td>6412.45</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>70.216</td>
<td>33749.76</td>
<td>33749.76</td>
<td>28687.3</td>
<td>18562.37</td>
<td>12824.91</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>78.993</td>
<td>37968.48</td>
<td>37968.48</td>
<td>32273.21</td>
<td>20882.66</td>
<td>14428.02</td>
</tr>
<tr>
<td>通用型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.272</td>
<td>164.99</td>
<td>164.99</td>
<td>140.24</td>
<td>82.5</td>
<td>82.49</td>
</tr>
<tr>
<td>通用型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.544</td>
<td>330.99</td>
<td>330.99</td>
<td>281.34</td>
<td>165.5</td>
<td>165.5</td>
</tr>
<tr>
<td>通用型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.71</td>
<td>879.99</td>
<td>879.99</td>
<td>747.99</td>
<td>440</td>
<td>440</td>
</tr>
<tr>
<td>通用型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.417</td>
<td>1759.99</td>
<td>1759.99</td>
<td>1495.99</td>
<td>880</td>
<td>880</td>
</tr>
<tr>
<td>通用型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.837</td>
<td>3520.99</td>
<td>3520.99</td>
<td>2992.84</td>
<td>1760.49</td>
<td>1760.49</td>
</tr>
<tr>
<td>通用型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>13.663</td>
<td>7040.99</td>
<td>7040.99</td>
<td>5984.84</td>
<td>3520.5</td>
<td>3520.5</td>
</tr>
<tr>
<td>通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.627</td>
<td>322.99</td>
<td>322.99</td>
<td>274.54</td>
<td>161.5</td>
<td>161.5</td>
</tr>
<tr>
<td>通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>1.254</td>
<td>645.99</td>
<td>645.99</td>
<td>549.09</td>
<td>323</td>
<td>323</td>
</tr>
<tr>
<td>通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.493</td>
<td>1282.99</td>
<td>1282.99</td>
<td>1090.54</td>
<td>641.5</td>
<td>641.5</td>
</tr>
<tr>
<td>通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.003</td>
<td>2574.99</td>
<td>2574.99</td>
<td>2188.74</td>
<td>1287.49</td>
<td>1287.49</td>
</tr>
<tr>
<td>通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.014</td>
<td>5156.99</td>
<td>5156.99</td>
<td>4383.44</td>
<td>2578.5</td>
<td>2578.5</td>
</tr>
<tr>
<td>通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.019</td>
<td>10314.99</td>
<td>10314.99</td>
<td>8767.74</td>
<td>5157.49</td>
<td>5157.49</td>
</tr>
<tr>
<td>通用型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.14</td>
<td>82.99</td>
<td>82.99</td>
<td>70.54</td>
<td>41.49</td>
<td>41.49</td>
</tr>
<tr>
<td>经济型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.869</td>
<td>484.99</td>
<td>484.99</td>
<td>412.24</td>
<td>242.5</td>
<td>242.5</td>
</tr>
<tr>
<td>计算型 ecs.cm4.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.55</td>
<td>2050.2</td>
<td>1947.69</td>
<td>1537.65</td>
<td>922.59</td>
<td>615.06</td>
</tr>
<tr>
<td>计算型 ecs.cm4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>7.17</td>
<td>4100.49</td>
<td>3895.47</td>
<td>3075.37</td>
<td>1845.22</td>
<td>1230.15</td>
</tr>
<tr>
<td>计算型 ecs.cm4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>10.656</td>
<td>6150.62</td>
<td>5843.09</td>
<td>4612.97</td>
<td>2767.78</td>
<td>1845.19</td>
</tr>
<tr>
<td>计算型 ecs.cm4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>14.35</td>
<td>8201.07</td>
<td>7791.02</td>
<td>6150.8</td>
<td>3690.48</td>
<td>2460.32</td>
</tr>
<tr>
<td>计算型 ecs.cm4.6xlarge</td>
<td>24</td>
<td>96</td>
<td>21.52</td>
<td>12301.58</td>
<td>11686.5</td>
<td>9226.18</td>
<td>5535.71</td>
<td>3690.47</td>
</tr>
<tr>
<td>计算型 ecs.ce4.xlarge</td>
<td>4</td>
<td>32</td>
<td>4.16</td>
<td>2329.32</td>
<td>2212.85</td>
<td>1746.99</td>
<td>1048.19</td>
<td>698.8</td>
</tr>
<tr>
<td>计算型 ecs.ce4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>8.316</td>
<td>4658.65</td>
<td>4425.72</td>
<td>3493.99</td>
<td>2096.39</td>
<td>1397.6</td>
</tr>
<tr>
<td>计算型 ecs.c4.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.79</td>
<td>1755.35</td>
<td>1667.58</td>
<td>1316.51</td>
<td>789.91</td>
<td>526.61</td>
</tr>
<tr>
<td>计算型 ecs.c4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>5.57</td>
<td>3510.71</td>
<td>3335.17</td>
<td>2633.03</td>
<td>1579.82</td>
<td>1053.21</td>
</tr>
<tr>
<td>计算型 ecs.c4.3xlarge</td>
<td>12</td>
<td>24</td>
<td>8.358</td>
<td>5203.37</td>
<td>4943.2</td>
<td>3902.53</td>
<td>2341.52</td>
<td>1561.01</td>
</tr>
<tr>
<td>计算型 ecs.c4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>11.15</td>
<td>7021.43</td>
<td>6670.36</td>
<td>5266.07</td>
<td>3159.64</td>
<td>2106.43</td>
</tr>
<tr>
<td>ecs.sn2ne.large</td>
<td>2</td>
<td>8</td>
<td>1.572</td>
<td>896.98</td>
<td>896.98</td>
<td>762.43</td>
<td>493.34</td>
<td>340.85</td>
</tr>
<tr>
<td>ecs.sn2ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>3.143</td>
<td>1793.97</td>
<td>1793.97</td>
<td>1524.88</td>
<td>986.68</td>
<td>681.71</td>
</tr>
<tr>
<td>ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.286</td>
<td>3587.97</td>
<td>3587.97</td>
<td>3049.78</td>
<td>1973.38</td>
<td>1363.43</td>
</tr>
<tr>
<td>ecs.sn2ne.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.432</td>
<td>5381.93</td>
<td>5381.93</td>
<td>4574.64</td>
<td>2960.06</td>
<td>2045.13</td>
</tr>
<tr>
<td>ecs.sn2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.571</td>
<td>7176.03</td>
<td>7176.03</td>
<td>6099.63</td>
<td>3946.82</td>
<td>2726.89</td>
</tr>
<tr>
<td>ecs.sn2ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>18.864</td>
<td>10763.87</td>
<td>10763.87</td>
<td>9149.29</td>
<td>5920.13</td>
<td>4090.27</td>
</tr>
<tr>
<td>ecs.sn2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.142</td>
<td>14352.09</td>
<td>14352.09</td>
<td>12199.28</td>
<td>7893.65</td>
<td>5453.79</td>
</tr>
<tr>
<td>ecs.sn2ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>43.997</td>
<td>25115.91</td>
<td>25115.91</td>
<td>21348.52</td>
<td>13813.75</td>
<td>9544.05</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.21</td>
<td>1836.99</td>
<td>1836.99</td>
<td>1561.44</td>
<td>1010.34</td>
<td>698.06</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.41</td>
<td>3673.99</td>
<td>3673.99</td>
<td>3122.89</td>
<td>2020.69</td>
<td>1396.12</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>12.82</td>
<td>7347.99</td>
<td>7347.99</td>
<td>6245.79</td>
<td>4041.39</td>
<td>2792.24</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>25.63</td>
<td>14694.99</td>
<td>14694.99</td>
<td>12490.74</td>
<td>8082.24</td>
<td>5584.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>51.25</td>
<td>29389.99</td>
<td>29389.99</td>
<td>24981.49</td>
<td>16164.49</td>
<td>11168.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.265</td>
<td>3012.48</td>
<td>2861.85</td>
<td>2259.36</td>
<td>1355.62</td>
<td>3012.48</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.53</td>
<td>6024.96</td>
<td>5723.71</td>
<td>4518.72</td>
<td>2711.23</td>
<td>6024.96</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21.058</td>
<td>12049.9</td>
<td>11447.4</td>
<td>9037.43</td>
<td>5422.45</td>
<td>12049.9</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>42.12</td>
<td>24099.84</td>
<td>22894.85</td>
<td>18074.88</td>
<td>10844.93</td>
<td>24099.84</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.3705</td>
<td>1928.84</td>
<td>1928.84</td>
<td>1639.51</td>
<td>1060.86</td>
<td>732.96</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.741</td>
<td>3857.68</td>
<td>3857.68</td>
<td>3279.03</td>
<td>2121.72</td>
<td>1465.92</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>13.482</td>
<td>7715.36</td>
<td>7715.36</td>
<td>6558.06</td>
<td>4243.45</td>
<td>2931.84</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>26.964</td>
<td>15430.72</td>
<td>15430.72</td>
<td>13116.11</td>
<td>8486.9</td>
<td>5863.67</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>512</td>
<td>53.928</td>
<td>30861.44</td>
<td>30861.44</td>
<td>26232.22</td>
<td>16973.79</td>
<td>11727.35</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.20xlarge</td>
<td>80</td>
<td>704</td>
<td>67.41</td>
<td>38576.8</td>
<td>38576.8</td>
<td>32790.28</td>
<td>21217.24</td>
<td>14659.18</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.528</td>
<td>3163.1</td>
<td>3163.1</td>
<td>2688.63</td>
<td>1739.7</td>
<td>1201.98</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>11.056</td>
<td>6326.2</td>
<td>6326.2</td>
<td>5377.27</td>
<td>3479.41</td>
<td>2403.96</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>22.111</td>
<td>12652.4</td>
<td>12652.4</td>
<td>10754.54</td>
<td>6958.82</td>
<td>4807.91</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>44.224</td>
<td>25304.8</td>
<td>25304.8</td>
<td>21509.08</td>
<td>13917.64</td>
<td>9615.82</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>30.524</td>
<td>8790.53</td>
<td>8790.53</td>
<td>7471.95</td>
<td>4834.79</td>
<td>3340.4</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>61.048</td>
<td>17581.05</td>
<td>17581.05</td>
<td>14943.89</td>
<td>9669.58</td>
<td>6680.8</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>122.089</td>
<td>35161.97</td>
<td>35161.97</td>
<td>29887.67</td>
<td>19339.08</td>
<td>13361.55</td>
</tr>
<tr>
<td>大数据计算型 ecs.d2c.6xlarge</td>
<td>24</td>
<td>88</td>
<td>24.227</td>
<td>6976.59</td>
<td>6976.59</td>
<td>5930.1</td>
<td>3837.12</td>
<td>2651.1</td>
</tr>
<tr>
<td>大数据计算型 ecs.d2c.12xlarge</td>
<td>48</td>
<td>176</td>
<td>48.454</td>
<td>13953.17</td>
<td>13953.17</td>
<td>11860.19</td>
<td>7674.24</td>
<td>5302.2</td>
</tr>
<tr>
<td>大数据计算型 ecs.d2c.24xlarge</td>
<td>96</td>
<td>352</td>
<td>96.901</td>
<td>27906.33</td>
<td>27906.33</td>
<td>23720.38</td>
<td>15348.48</td>
<td>10604.41</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.738</td>
<td>970.99</td>
<td>970.99</td>
<td>825.34</td>
<td>485.5</td>
<td>485.5</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.476</td>
<td>1940.99</td>
<td>1940.99</td>
<td>1649.84</td>
<td>970.5</td>
<td>970.5</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.952</td>
<td>3881.99</td>
<td>3881.99</td>
<td>3299.69</td>
<td>1941</td>
<td>1940.99</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>13.903</td>
<td>7764.99</td>
<td>7764.99</td>
<td>6600.24</td>
<td>3882.5</td>
<td>3882.5</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>27.805</td>
<td>15528.99</td>
<td>15528.99</td>
<td>13199.64</td>
<td>7764.49</td>
<td>7764.49</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>51.266</td>
<td>28630.99</td>
<td>28630.99</td>
<td>24336.34</td>
<td>14315.5</td>
<td>14315.49</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>3</td>
<td>1801.99</td>
<td>1711.89</td>
<td>1351.49</td>
<td>810.9</td>
<td>540.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6</td>
<td>3604.99</td>
<td>3424.74</td>
<td>2703.74</td>
<td>1622.25</td>
<td>1081.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9</td>
<td>5408.99</td>
<td>5138.54</td>
<td>4056.74</td>
<td>2434.05</td>
<td>1622.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.01</td>
<td>7209.99</td>
<td>6849.49</td>
<td>5407.49</td>
<td>3244.5</td>
<td>2163</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.07</td>
<td>7847.99</td>
<td>7455.59</td>
<td>5885.99</td>
<td>3531.6</td>
<td>2354.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>18</td>
<td>10811.99</td>
<td>10271.39</td>
<td>8108.99</td>
<td>4865.4</td>
<td>3243.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>24.03</td>
<td>14421.99</td>
<td>13700.89</td>
<td>10816.49</td>
<td>6489.9</td>
<td>4326.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>24.97</td>
<td>14986.99</td>
<td>14237.64</td>
<td>11240.24</td>
<td>6744.15</td>
<td>4496.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>42.05</td>
<td>25237.99</td>
<td>23976.09</td>
<td>18928.49</td>
<td>11357.1</td>
<td>7571.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.24</td>
<td>3750.99</td>
<td>3563.44</td>
<td>2813.24</td>
<td>1687.95</td>
<td>1125.3</td>
</tr>
<tr>
<td>大数据型 ecs.d1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>9.36</td>
<td>5626.49</td>
<td>5345.16</td>
<td>4219.87</td>
<td>2531.92</td>
<td>1687.95</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.5</td>
<td>7501.99</td>
<td>7126.89</td>
<td>5626.49</td>
<td>3375.9</td>
<td>2250.6</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>18.75</td>
<td>11253.99</td>
<td>10691.29</td>
<td>8440.49</td>
<td>5064.3</td>
<td>3376.2</td>
</tr>
<tr>
<td>大数据型 ecs.d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25</td>
<td>15005.99</td>
<td>14255.69</td>
<td>11254.49</td>
<td>6752.7</td>
<td>4501.8</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>24</td>
<td>14405.99</td>
<td>13685.69</td>
<td>10804.49</td>
<td>6482.7</td>
<td>4321.8</td>
</tr>
<tr>
<td>大数据型 ecs.d1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>43.76</td>
<td>26259.99</td>
<td>24946.99</td>
<td>19694.99</td>
<td>11817</td>
<td>7878</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>36.4</td>
<td>21847.99</td>
<td>20755.59</td>
<td>16385.99</td>
<td>9831.6</td>
<td>6554.4</td>
</tr>
<tr>
<td>ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>1.23</td>
<td>775.26</td>
<td>775.26</td>
<td>658.97</td>
<td>426.39</td>
<td>294.6</td>
</tr>
<tr>
<td>ecs.sn1ne.xlarge</td>
<td>4</td>
<td>8</td>
<td>2.459</td>
<td>1535.93</td>
<td>1535.93</td>
<td>1305.54</td>
<td>844.76</td>
<td>583.65</td>
</tr>
<tr>
<td>ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>4.908</td>
<td>3079.17</td>
<td>3079.17</td>
<td>2617.29</td>
<td>1693.54</td>
<td>1170.08</td>
</tr>
<tr>
<td>ecs.sn1ne.3xlarge</td>
<td>12</td>
<td>24</td>
<td>7.38</td>
<td>4656.29</td>
<td>4656.29</td>
<td>3957.85</td>
<td>2560.96</td>
<td>1769.39</td>
</tr>
<tr>
<td>ecs.sn1ne.4xlarge</td>
<td>16</td>
<td>32</td>
<td>9.81</td>
<td>6165.68</td>
<td>6165.68</td>
<td>5240.83</td>
<td>3391.12</td>
<td>2342.96</td>
</tr>
<tr>
<td>ecs.sn1ne.6xlarge</td>
<td>24</td>
<td>48</td>
<td>14.76</td>
<td>9312.59</td>
<td>9312.59</td>
<td>7915.7</td>
<td>5121.92</td>
<td>3538.78</td>
</tr>
<tr>
<td>ecs.sn1ne.8xlarge</td>
<td>32</td>
<td>64</td>
<td>20.699</td>
<td>13128.61</td>
<td>13128.61</td>
<td>11159.32</td>
<td>7220.74</td>
<td>4988.87</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.large</td>
<td>2</td>
<td>16</td>
<td>1.825</td>
<td>1019.06</td>
<td>1019.06</td>
<td>866.2</td>
<td>560.48</td>
<td>387.24</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>3.65</td>
<td>2038.21</td>
<td>2038.21</td>
<td>1732.48</td>
<td>1121.02</td>
<td>774.52</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>7.3</td>
<td>4076.44</td>
<td>4076.44</td>
<td>3464.97</td>
<td>2242.04</td>
<td>1549.05</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.3xlarge</td>
<td>12</td>
<td>96</td>
<td>10.95</td>
<td>6114.41</td>
<td>6114.41</td>
<td>5197.25</td>
<td>3362.93</td>
<td>2323.48</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>14.599</td>
<td>8152.83</td>
<td>8152.83</td>
<td>6929.91</td>
<td>4484.06</td>
<td>3098.08</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.6xlarge</td>
<td>24</td>
<td>192</td>
<td>21.9</td>
<td>12228.83</td>
<td>12228.83</td>
<td>10394.5</td>
<td>6725.86</td>
<td>4646.96</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>29.196</td>
<td>16305.68</td>
<td>16305.68</td>
<td>13859.83</td>
<td>8968.12</td>
<td>6196.16</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.14xlarge</td>
<td>56</td>
<td>480</td>
<td>53.83</td>
<td>30062.8</td>
<td>30062.8</td>
<td>25553.38</td>
<td>16534.54</td>
<td>11423.86</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.372</td>
<td>3824.86</td>
<td>3633.62</td>
<td>2868.64</td>
<td>1721.19</td>
<td>1147.46</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>12.75</td>
<td>7649.8</td>
<td>7267.31</td>
<td>5737.35</td>
<td>3442.41</td>
<td>2294.94</td>
</tr>
</tbody>
</table>

三、阿里云服务器便宜购买技巧（比活动价格更便宜）
了解完阿里云服务器香港地域收费标准之后，我们再来说说如何购买阿里云服务器能比活动价格还低，2024年阿里云活动中的云服务器有多种配置和实例规格的云服务器可选，其中轻量应用服务器2核2G3M最低61元/1年，云服务器2核2G3M最低仅需99元/1年，云服务器2核4G5M最低仅需199元/1年。在阿里云活动中购买云服务器时，很多新用户会问，阿里云活动中的云服务器价格还能便宜吗？答案是肯定的，现在我们可以通过领取新用户满减优惠券，在购买阿里云活动中的云服务器时享受更多优惠，实际购买价格比活动价格更便宜。

第一步：领取新用户满减优惠券或代金券
首先，我们需要领取新用户满减优惠券或代金券，阿里云官方会不定期为个人和企业新用户推出各种满减优惠券或者代金券，您可以从以下两个活动中领取优惠券：

• 阿里云活动中心的“领券中心”。官网地址为：https://www.aliyun.com/activity
  
• 阿里云官方云小站平台内的“云产品通用代金券”。官网地址为：https://www.aliyun.com/minisite/goods
  </ol>
  
  
  
  
  
  <div class="image-caption">云小站代金券图.png
  
  我们随便进入一个活动领取优惠券即可。为了方便起见，小编建议您直接通过云小站平台领取优惠券，因为领取后可以直接在活动内购买云服务器使用。
  
  第二步：比较活动内云服务器不同地域的活动价格
  在相同实例规格和配置的情况下，不同地域的阿里云服务器活动价格是不一样的，我们在购买时候可以先比较一下不同地域之间的云服务器活动价格，然后选择价格更低的，这样也能达到更便宜购买的目的，例如同样是计算型c7实例2核4G1M带宽配置，目前阿里云活动内显示的价格是2129.41元1年，这个价格只是北京、杭州、上海、深圳等地域的价格，如果我们选择乌兰察布、河源等地域，活动价格则是1875.79元1年，价格要便宜253.62元，如下图所示：
  
  
  
  
  
  <div class="image-caption">1875.79图.png
  
  
  第三步：下单购买并使用满减优惠券
  当我们领取完满减优惠券并选择好云服务器配置之后，可以看下这款云服务器是否支持叠加使用优惠券，如下图所示：
  
  
  
  
  
  <div class="image-caption">可叠加使用优惠券图.png
  
  最后，在支付云服务器订单的时候，系统会自动显示此订单可使用的全部满减优惠券金额，如下图所示：