论坛 › 技术前沿 › 阿里云服务器欧洲地域多少钱？欧洲地域云服务器收费标准及便宜购买教程

bcj290716 发表于 2024-10-5 22:53:07

阿里云服务器欧洲地域多少钱？欧洲地域云服务器收费标准及便宜购买教程

阿里云服务器在国内有十几个地域可选，欧洲地域主要有德国（法兰克福）和英国（伦敦）两个地域，且不用备案，2024年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欧洲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。
<h2>一、阿里云服务器欧洲地域接入点及运营商介绍</h2>
阿里云服务器欧洲地域有德国（法兰克福）和英国（伦敦）两个接入点，运营商有E-shelter、Equinix、DRT、ARK、Telehouse、Equinix等。
<table>
<thead>
<tr>
<th>地域</th>
<th>接入点</th>
<th>运营商</th>
</tr>
</thead>
<tbody>
<tr>
<td>德国（法兰克福）</td>
<td>德国-法兰克福-A</td>
<td>E-shelter</td>
</tr>
<tr>
<td>德国（法兰克福）</td>
<td>德国-法兰克福-B</td>
<td>Equinix</td>
</tr>
<tr>
<td>德国（法兰克福）</td>
<td>德国-法兰克福-C</td>
<td>E-shelter</td>
</tr>
<tr>
<td>英国（伦敦）</td>
<td>英国-伦敦-A</td>
<td>DRT</td>
</tr>
<tr>
<td>英国（伦敦）</td>
<td>英国-伦敦-B</td>
<td>ARK</td>
</tr>
<tr>
<td>英国（伦敦）</td>
<td>英国-伦敦-C</td>
<td>Telehouse</td>
</tr>
<tr>
<td>英国（伦敦）</td>
<td>英国-伦敦-D</td>
<td>Equinix</td>
</tr>
</tbody>
</table>
<h2>二、阿里云服务器欧洲地域最新收费标准</h2>
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欧洲地域最新收费标准，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。
<h3>1、德国（法兰克福）地域云服务器收费标准</h3>
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(小时)</th>
<th>按量月估价(30天)</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>0.59007</td>
<td>424.85</td>
<td>343.71</td>
<td>206.22</td>
<td>130.61</td>
<td>130.61</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.4539</td>
<td>326.81</td>
<td>257.8</td>
<td>154.68</td>
<td>97.96</td>
<td>97.96</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.large</td>
<td>2</td>
<td>16</td>
<td>0.77163</td>
<td>555.57</td>
<td>402.44</td>
<td>241.46</td>
<td>152.93</td>
<td>152.93</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.431205</td>
<td>310.47</td>
<td>244.91</td>
<td>146.94</td>
<td>93.06</td>
<td>93.06</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.86241</td>
<td>620.94</td>
<td>489.81</td>
<td>293.89</td>
<td>186.13</td>
<td>186.13</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.54326</td>
<td>1111.15</td>
<td>804.88</td>
<td>482.93</td>
<td>305.86</td>
<td>305.86</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.9078</td>
<td>653.62</td>
<td>515.59</td>
<td>309.36</td>
<td>195.93</td>
<td>195.93</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.18014</td>
<td>849.7</td>
<td>687.41</td>
<td>412.45</td>
<td>261.22</td>
<td>261.22</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.36028</td>
<td>1699.4</td>
<td>1374.82</td>
<td>824.89</td>
<td>522.43</td>
<td>522.43</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.8156</td>
<td>1307.23</td>
<td>1031.19</td>
<td>618.71</td>
<td>391.85</td>
<td>391.85</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.08652</td>
<td>2222.29</td>
<td>1609.76</td>
<td>965.86</td>
<td>611.71</td>
<td>611.71</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.72482</td>
<td>1241.87</td>
<td>979.63</td>
<td>587.78</td>
<td>372.26</td>
<td>372.26</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.54042</td>
<td>2549.1</td>
<td>2062.24</td>
<td>1237.34</td>
<td>783.65</td>
<td>783.65</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.3xlarge</td>
<td>12</td>
<td>12</td>
<td>2.58723</td>
<td>1862.81</td>
<td>1469.44</td>
<td>881.66</td>
<td>558.39</td>
<td>558.39</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.7234</td>
<td>1960.85</td>
<td>1546.78</td>
<td>928.07</td>
<td>587.78</td>
<td>587.78</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.62978</td>
<td>3333.44</td>
<td>2414.65</td>
<td>1448.79</td>
<td>917.57</td>
<td>917.57</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>3.44964</td>
<td>2483.74</td>
<td>1959.25</td>
<td>1175.55</td>
<td>744.52</td>
<td>744.52</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.17304</td>
<td>4444.59</td>
<td>3219.53</td>
<td>1931.72</td>
<td>1223.42</td>
<td>1223.42</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.72056</td>
<td>3398.8</td>
<td>2749.65</td>
<td>1649.79</td>
<td>1044.87</td>
<td>1044.87</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.6312</td>
<td>2614.46</td>
<td>2062.37</td>
<td>1237.42</td>
<td>783.7</td>
<td>783.7</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.44112</td>
<td>6797.61</td>
<td>5499.3</td>
<td>3299.58</td>
<td>2089.73</td>
<td>2089.73</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.34608</td>
<td>8889.18</td>
<td>6439.06</td>
<td>3863.43</td>
<td>2446.84</td>
<td>2446.84</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.2624</td>
<td>5228.93</td>
<td>4124.74</td>
<td>2474.85</td>
<td>1567.4</td>
<td>1567.4</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.8xlarge</td>
<td>32</td>
<td>32</td>
<td>6.89928</td>
<td>4967.48</td>
<td>3918.51</td>
<td>2351.1</td>
<td>1489.03</td>
<td>1489.03</td>
</tr>
<tr>
<td>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.64169</td>
<td>462.02</td>
<td>465.3</td>
<td>325.71</td>
<td>209.38</td>
<td>139.59</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.28427</td>
<td>924.67</td>
<td>930.6</td>
<td>651.42</td>
<td>418.77</td>
<td>279.18</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.56854</td>
<td>1849.35</td>
<td>1861.2</td>
<td>1302.84</td>
<td>837.54</td>
<td>558.36</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.85192</td>
<td>2773.38</td>
<td>2791.8</td>
<td>1954.26</td>
<td>1256.31</td>
<td>837.54</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.13619</td>
<td>3698.06</td>
<td>3722.4</td>
<td>2605.68</td>
<td>1675.08</td>
<td>1116.72</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.70473</td>
<td>5547.41</td>
<td>5583.6</td>
<td>3908.52</td>
<td>2512.62</td>
<td>1675.08</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.27238</td>
<td>7396.11</td>
<td>7444.8</td>
<td>5211.36</td>
<td>3350.16</td>
<td>2233.44</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>20.54565</td>
<td>14792.87</td>
<td>14889.59</td>
<td>10422.72</td>
<td>6700.32</td>
<td>4466.88</td>
</tr>
<tr>
<td>通用型 ecs.g7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>41.09041</td>
<td>29585.1</td>
<td>29779.19</td>
<td>20845.43</td>
<td>13400.63</td>
<td>8933.76</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>0.84817</td>
<td>610.68</td>
<td>544.81</td>
<td>381.37</td>
<td>245.17</td>
<td>163.44</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.69723</td>
<td>1222.01</td>
<td>1089.63</td>
<td>762.74</td>
<td>490.33</td>
<td>326.89</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.39446</td>
<td>2444.01</td>
<td>2179.25</td>
<td>1525.48</td>
<td>980.66</td>
<td>653.78</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.09169</td>
<td>3666.02</td>
<td>3268.88</td>
<td>2288.22</td>
<td>1471</td>
<td>980.66</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.78892</td>
<td>4888.02</td>
<td>4358.51</td>
<td>3050.96</td>
<td>1961.33</td>
<td>1307.55</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.18338</td>
<td>7332.03</td>
<td>6537.76</td>
<td>4576.43</td>
<td>2941.99</td>
<td>1961.33</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.57784</td>
<td>9776.04</td>
<td>8717.02</td>
<td>6101.91</td>
<td>3922.66</td>
<td>2615.11</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>27.15568</td>
<td>19552.09</td>
<td>17434.03</td>
<td>12203.82</td>
<td>7845.32</td>
<td>5230.21</td>
</tr>
<tr>
<td>内存型 ecs.r7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>54.31136</td>
<td>39104.18</td>
<td>34868.07</td>
<td>24407.65</td>
<td>15690.63</td>
<td>10460.42</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.54112</td>
<td>389.61</td>
<td>349</td>
<td>244.3</td>
<td>157.05</td>
<td>104.7</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.08313</td>
<td>779.85</td>
<td>697.99</td>
<td>488.59</td>
<td>314.1</td>
<td>209.4</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.16626</td>
<td>1559.71</td>
<td>1395.98</td>
<td>977.18</td>
<td>628.19</td>
<td>418.79</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.24939</td>
<td>2339.56</td>
<td>2093.97</td>
<td>1465.78</td>
<td>942.29</td>
<td>628.19</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.33252</td>
<td>3119.41</td>
<td>2791.96</td>
<td>1954.37</td>
<td>1256.38</td>
<td>837.59</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.49878</td>
<td>4679.12</td>
<td>4187.94</td>
<td>2931.56</td>
<td>1884.57</td>
<td>1256.38</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.66504</td>
<td>6238.83</td>
<td>5583.92</td>
<td>3908.74</td>
<td>2512.76</td>
<td>1675.18</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>128</td>
<td>17.32919</td>
<td>12477.02</td>
<td>11167.84</td>
<td>7817.49</td>
<td>5025.53</td>
<td>3350.35</td>
</tr>
<tr>
<td>计算型 ecs.c7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>34.65927</td>
<td>24954.67</td>
<td>22335.67</td>
<td>15634.97</td>
<td>10051.05</td>
<td>6700.7</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>38.943</td>
<td>28038.96</td>
<td>22335.67</td>
<td>18985.32</td>
<td>12284.62</td>
<td>8487.56</td>
</tr>
<tr>
<td>GPU计算型弹性裸金属服务器 ecs.ebmgn7e.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>312.111408</td>
<td>224720.21</td>
<td>149813.48</td>
<td>127341.45</td>
<td>82397.41</td>
<td>56929.12</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.4658</td>
<td>335.38</td>
<td>222.67</td>
<td>171.45</td>
<td>122.47</td>
<td>84.61</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.9316</td>
<td>670.75</td>
<td>445.33</td>
<td>342.9</td>
<td>244.93</td>
<td>133.6</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.85725</td>
<td>1337.22</td>
<td>890.67</td>
<td>685.82</td>
<td>445.34</td>
<td>267.2</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.7145</td>
<td>2674.44</td>
<td>1781.35</td>
<td>1371.64</td>
<td>890.67</td>
<td>534.4</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.429</td>
<td>5348.88</td>
<td>3562.69</td>
<td>2743.27</td>
<td>1781.35</td>
<td>1068.81</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>14.858</td>
<td>10697.76</td>
<td>7125.38</td>
<td>5486.54</td>
<td>3562.69</td>
<td>2137.61</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>29.716</td>
<td>21395.52</td>
<td>14250.76</td>
<td>10973.08</td>
<td>7125.38</td>
<td>4275.23</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>0.588557</td>
<td>423.76</td>
<td>326.96</td>
<td>251.76</td>
<td>179.83</td>
<td>124.25</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.177114</td>
<td>847.52</td>
<td>653.92</td>
<td>503.52</td>
<td>326.96</td>
<td>196.18</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.353471</td>
<td>1694.5</td>
<td>1307.84</td>
<td>1007.03</td>
<td>653.92</td>
<td>392.35</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.706943</td>
<td>3389</td>
<td>2615.67</td>
<td>2014.07</td>
<td>1307.84</td>
<td>784.7</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.413886</td>
<td>6778</td>
<td>5231.34</td>
<td>4028.13</td>
<td>2615.67</td>
<td>1569.4</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>18.827772</td>
<td>13556</td>
<td>10462.68</td>
<td>8056.27</td>
<td>5231.34</td>
<td>3138.81</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>37.655544</td>
<td>27111.99</td>
<td>20925.37</td>
<td>16112.53</td>
<td>10462.68</td>
<td>6277.61</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>0.705814</td>
<td>508.19</td>
<td>380.72</td>
<td>293.15</td>
<td>209.39</td>
<td>114.21</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.412385</td>
<td>1016.92</td>
<td>761.43</td>
<td>586.3</td>
<td>380.71</td>
<td>228.43</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.824771</td>
<td>2033.84</td>
<td>1522.86</td>
<td>1172.6</td>
<td>761.43</td>
<td>456.86</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.649542</td>
<td>4067.67</td>
<td>3045.72</td>
<td>2345.2</td>
<td>1522.86</td>
<td>913.72</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.299084</td>
<td>8135.34</td>
<td>6091.44</td>
<td>4690.41</td>
<td>3045.72</td>
<td>1827.43</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>22.598168</td>
<td>16270.68</td>
<td>12182.88</td>
<td>9380.82</td>
<td>6091.44</td>
<td>3654.86</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>45.196336</td>
<td>32541.36</td>
<td>24365.76</td>
<td>18761.63</td>
<td>12182.88</td>
<td>7309.73</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>18.496462</td>
<td>13317.45</td>
<td>8878.3</td>
<td>7546.56</td>
<td>4883.07</td>
<td>3373.75</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c16g1.4xlarge</td>
<td>16</td>
<td>60</td>
<td>19.584489</td>
<td>14100.83</td>
<td>9400.55</td>
<td>7990.47</td>
<td>5170.31</td>
<td>3572.21</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.8xlarge</td>
<td>32</td>
<td>188</td>
<td>21.760543</td>
<td>15667.59</td>
<td>10445.06</td>
<td>8878.3</td>
<td>5744.78</td>
<td>3969.12</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c48g1.12xlarge</td>
<td>48</td>
<td>310</td>
<td>26.112652</td>
<td>18801.11</td>
<td>12534.07</td>
<td>10653.96</td>
<td>6893.74</td>
<td>4762.95</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c56g1.14xlarge</td>
<td>56</td>
<td>346</td>
<td>31.335183</td>
<td>22561.33</td>
<td>15040.89</td>
<td>12784.75</td>
<td>8272.49</td>
<td>5715.54</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.16xlarge</td>
<td>64</td>
<td>376</td>
<td>43.521087</td>
<td>31335.18</td>
<td>20890.12</td>
<td>17756.6</td>
<td>11489.57</td>
<td>7938.25</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.32xlarge</td>
<td>128</td>
<td>752</td>
<td>87.042175</td>
<td>62670.37</td>
<td>41780.24</td>
<td>35513.21</td>
<td>22979.13</td>
<td>15876.49</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.large</td>
<td>2</td>
<td>16</td>
<td>0.992359</td>
<td>714.5</td>
<td>637.43</td>
<td>446.2</td>
<td>286.84</td>
<td>191.23</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.985759</td>
<td>1429.75</td>
<td>1274.86</td>
<td>892.4</td>
<td>573.69</td>
<td>382.46</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.971518</td>
<td>2859.49</td>
<td>2549.73</td>
<td>1784.81</td>
<td>1147.38</td>
<td>764.92</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.957277</td>
<td>4289.24</td>
<td>3824.59</td>
<td>2677.21</td>
<td>1721.07</td>
<td>1147.38</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.943036</td>
<td>5718.99</td>
<td>5099.45</td>
<td>3569.62</td>
<td>2294.75</td>
<td>1529.84</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.6xlarge</td>
<td>24</td>
<td>192</td>
<td>11.914555</td>
<td>8578.48</td>
<td>7649.18</td>
<td>5354.43</td>
<td>3442.13</td>
<td>2294.75</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.886073</td>
<td>11437.97</td>
<td>10198.91</td>
<td>7139.24</td>
<td>4589.51</td>
<td>3059.67</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.16xlarge</td>
<td>64</td>
<td>512</td>
<td>31.772146</td>
<td>22875.95</td>
<td>20397.82</td>
<td>14278.47</td>
<td>9179.02</td>
<td>6119.35</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmre7p.32xlarge</td>
<td>128</td>
<td>512</td>
<td>91.927</td>
<td>66187.44</td>
<td>44124.97</td>
<td>44124.97</td>
<td>44124.97</td>
<td>44124.97</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2.xlarge</td>
<td>4</td>
<td>15.5</td>
<td>1.908488</td>
<td>1374.11</td>
<td>916.07</td>
<td>778.66</td>
<td>503.84</td>
<td>348.11</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m2s.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.908488</td>
<td>1374.11</td>
<td>916.07</td>
<td>778.66</td>
<td>503.84</td>
<td>348.11</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>3.816977</td>
<td>2748.22</td>
<td>1832.15</td>
<td>1557.33</td>
<td>1007.68</td>
<td>696.22</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.816977</td>
<td>2748.22</td>
<td>1832.15</td>
<td>1557.33</td>
<td>1007.68</td>
<td>696.22</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8.4xlarge</td>
<td>16</td>
<td>62</td>
<td>7.633954</td>
<td>5496.45</td>
<td>3664.3</td>
<td>3114.65</td>
<td>2015.36</td>
<td>1392.43</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m8s.4xlarge</td>
<td>16</td>
<td>32</td>
<td>7.633954</td>
<td>5496.45</td>
<td>3664.3</td>
<td>3114.65</td>
<td>2015.36</td>
<td>1392.43</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.large</td>
<td>2</td>
<td>4</td>
<td>0.6764</td>
<td>487.01</td>
<td>436.24</td>
<td>305.37</td>
<td>196.31</td>
<td>130.87</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.353912</td>
<td>974.82</td>
<td>872.49</td>
<td>610.74</td>
<td>392.62</td>
<td>261.75</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.707825</td>
<td>1949.63</td>
<td>1744.97</td>
<td>1221.48</td>
<td>785.24</td>
<td>523.49</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.large</td>
<td>2</td>
<td>8</td>
<td>0.802112</td>
<td>577.52</td>
<td>581.63</td>
<td>407.14</td>
<td>261.73</td>
<td>174.49</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.605337</td>
<td>1155.84</td>
<td>1163.25</td>
<td>814.27</td>
<td>523.46</td>
<td>348.98</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.210675</td>
<td>2311.69</td>
<td>2326.5</td>
<td>1628.55</td>
<td>1046.92</td>
<td>697.95</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.6942</td>
<td>499.82</td>
<td>404.36</td>
<td>283.05</td>
<td>181.96</td>
<td>121.31</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.3884</td>
<td>999.65</td>
<td>808.72</td>
<td>566.1</td>
<td>363.92</td>
<td>242.62</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.7768</td>
<td>1999.3</td>
<td>1617.44</td>
<td>1132.21</td>
<td>727.85</td>
<td>485.23</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.1652</td>
<td>2998.94</td>
<td>2426.16</td>
<td>1698.31</td>
<td>1091.77</td>
<td>727.85</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.5536</td>
<td>3998.59</td>
<td>3234.88</td>
<td>2264.42</td>
<td>1455.7</td>
<td>970.46</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>8.3304</td>
<td>5997.89</td>
<td>4852.32</td>
<td>3396.62</td>
<td>2183.54</td>
<td>1455.7</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.1072</td>
<td>7997.18</td>
<td>6469.76</td>
<td>4528.83</td>
<td>2911.39</td>
<td>1940.93</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>18.0492</td>
<td>12995.42</td>
<td>10513.36</td>
<td>7359.35</td>
<td>4731.01</td>
<td>3154.01</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>36.0984</td>
<td>25990.85</td>
<td>21026.72</td>
<td>14718.7</td>
<td>9462.02</td>
<td>6308.02</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>8.25</td>
<td>5940</td>
<td>4242.19</td>
<td>3605.86</td>
<td>2333.2</td>
<td>1612.03</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>9.94</td>
<td>7156.8</td>
<td>5111.44</td>
<td>4344.72</td>
<td>2811.29</td>
<td>1942.35</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>13.32</td>
<td>9590.4</td>
<td>6849.8</td>
<td>5822.33</td>
<td>3767.39</td>
<td>2602.92</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>16.82</td>
<td>12110.4</td>
<td>8646.12</td>
<td>7349.2</td>
<td>4755.37</td>
<td>3285.53</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c40g1.10xlarge</td>
<td>40</td>
<td>155</td>
<td>23.461</td>
<td>16891.92</td>
<td>12065.44</td>
<td>10255.62</td>
<td>6635.99</td>
<td>4584.87</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>33.62</td>
<td>24206.4</td>
<td>17292.11</td>
<td>14698.29</td>
<td>9510.66</td>
<td>6571</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>67.25</td>
<td>48420</td>
<td>34584.28</td>
<td>29396.64</td>
<td>19021.35</td>
<td>13142.03</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>40.56</td>
<td>29203.2</td>
<td>21026.72</td>
<td>17872.71</td>
<td>11564.7</td>
<td>7990.15</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.76362</td>
<td>549.81</td>
<td>444.8</td>
<td>311.36</td>
<td>200.16</td>
<td>133.44</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.52724</td>
<td>1099.61</td>
<td>889.59</td>
<td>622.71</td>
<td>400.32</td>
<td>266.88</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.05448</td>
<td>2199.23</td>
<td>1779.18</td>
<td>1245.43</td>
<td>800.63</td>
<td>533.76</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.10896</td>
<td>4398.45</td>
<td>3558.37</td>
<td>2490.86</td>
<td>1601.27</td>
<td>1067.51</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.21792</td>
<td>8796.9</td>
<td>7116.74</td>
<td>4981.72</td>
<td>3202.53</td>
<td>2135.02</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>19.85412</td>
<td>14294.97</td>
<td>11564.7</td>
<td>8095.29</td>
<td>5204.11</td>
<td>3469.41</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.534</td>
<td>384.48</td>
<td>303.29</td>
<td>212.3</td>
<td>136.48</td>
<td>115.25</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.068</td>
<td>768.96</td>
<td>606.58</td>
<td>424.61</td>
<td>272.96</td>
<td>181.97</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.136</td>
<td>1537.92</td>
<td>1213.16</td>
<td>849.21</td>
<td>545.92</td>
<td>363.95</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.204</td>
<td>2306.88</td>
<td>1819.74</td>
<td>1273.82</td>
<td>818.88</td>
<td>545.92</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.272</td>
<td>3075.84</td>
<td>2426.32</td>
<td>1698.42</td>
<td>1091.84</td>
<td>727.9</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.408</td>
<td>4613.76</td>
<td>3639.48</td>
<td>2547.64</td>
<td>1637.77</td>
<td>1091.84</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.544</td>
<td>6151.68</td>
<td>4852.64</td>
<td>3396.85</td>
<td>2183.69</td>
<td>1455.79</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>13.884</td>
<td>9996.48</td>
<td>7885.54</td>
<td>5519.88</td>
<td>3548.49</td>
<td>2365.66</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>27.768</td>
<td>19992.96</td>
<td>15771.08</td>
<td>11039.76</td>
<td>7096.99</td>
<td>4731.32</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.9078</td>
<td>653.62</td>
<td>473.46</td>
<td>331.42</td>
<td>213.06</td>
<td>142.04</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.8156</td>
<td>1307.23</td>
<td>946.92</td>
<td>662.84</td>
<td>426.11</td>
<td>284.08</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.6312</td>
<td>2614.46</td>
<td>1893.84</td>
<td>1325.69</td>
<td>852.23</td>
<td>568.15</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.4468</td>
<td>3921.7</td>
<td>2840.76</td>
<td>1988.53</td>
<td>1278.34</td>
<td>852.23</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.2624</td>
<td>5228.93</td>
<td>3787.68</td>
<td>2651.38</td>
<td>1704.46</td>
<td>1136.3</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.8936</td>
<td>7843.39</td>
<td>5681.52</td>
<td>3977.06</td>
<td>2556.68</td>
<td>1704.46</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.5248</td>
<td>10457.86</td>
<td>7575.36</td>
<td>5302.75</td>
<td>3408.91</td>
<td>2272.61</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>23.6028</td>
<td>16994.02</td>
<td>12309.96</td>
<td>8616.97</td>
<td>5539.48</td>
<td>3692.99</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>47.2056</td>
<td>33988.03</td>
<td>24619.92</td>
<td>17233.94</td>
<td>11078.96</td>
<td>7385.98</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.0465</td>
<td>33.48</td>
<td>18.88</td>
<td>16.05</td>
<td>10.38</td>
<td>7.17</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.0744</td>
<td>53.57</td>
<td>38.17</td>
<td>32.44</td>
<td>20.99</td>
<td>14.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.1395</td>
<td>100.44</td>
<td>75.86</td>
<td>64.48</td>
<td>41.72</td>
<td>28.83</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2697</td>
<td>194.18</td>
<td>151.64</td>
<td>128.89</td>
<td>83.4</td>
<td>57.62</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.5394</td>
<td>388.37</td>
<td>303.36</td>
<td>257.86</td>
<td>166.85</td>
<td>115.28</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0788</td>
<td>776.74</td>
<td>607.13</td>
<td>516.06</td>
<td>333.92</td>
<td>230.71</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.1483</td>
<td>1546.78</td>
<td>1213.85</td>
<td>1031.77</td>
<td>667.62</td>
<td>461.26</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.6141</td>
<td>442.15</td>
<td>348.77</td>
<td>244.14</td>
<td>156.95</td>
<td>104.63</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.2282</td>
<td>884.3</td>
<td>697.54</td>
<td>488.28</td>
<td>313.89</td>
<td>209.26</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.4564</td>
<td>1768.61</td>
<td>1395.08</td>
<td>976.56</td>
<td>627.79</td>
<td>418.52</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.6846</td>
<td>2652.91</td>
<td>2092.62</td>
<td>1464.83</td>
<td>941.68</td>
<td>627.79</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.9128</td>
<td>3537.22</td>
<td>2790.16</td>
<td>1953.11</td>
<td>1255.57</td>
<td>837.05</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.3692</td>
<td>5305.82</td>
<td>4185.24</td>
<td>2929.67</td>
<td>1883.36</td>
<td>1255.57</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.8256</td>
<td>7074.43</td>
<td>5580.32</td>
<td>3906.22</td>
<td>2511.14</td>
<td>1674.1</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>12.282</td>
<td>8843.04</td>
<td>6975.4</td>
<td>4882.78</td>
<td>3138.93</td>
<td>2092.62</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.6512</td>
<td>14148.86</td>
<td>11160.64</td>
<td>7812.45</td>
<td>5022.29</td>
<td>3348.19</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>24.564</td>
<td>17686.08</td>
<td>13950.8</td>
<td>9765.56</td>
<td>6277.86</td>
<td>4185.24</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.7654</td>
<td>551.09</td>
<td>444.83</td>
<td>311.38</td>
<td>200.17</td>
<td>133.45</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.5308</td>
<td>1102.18</td>
<td>889.66</td>
<td>622.76</td>
<td>400.35</td>
<td>266.9</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.0616</td>
<td>2204.35</td>
<td>1779.32</td>
<td>1245.52</td>
<td>800.69</td>
<td>533.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.5924</td>
<td>3306.53</td>
<td>2668.98</td>
<td>1868.29</td>
<td>1201.04</td>
<td>800.69</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.1232</td>
<td>4408.7</td>
<td>3558.64</td>
<td>2491.05</td>
<td>1601.39</td>
<td>1067.59</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.1848</td>
<td>6613.06</td>
<td>5337.96</td>
<td>3736.57</td>
<td>2402.08</td>
<td>1601.39</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.2464</td>
<td>8817.41</td>
<td>7117.28</td>
<td>4982.1</td>
<td>3202.78</td>
<td>2135.18</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>15.308</td>
<td>11021.76</td>
<td>8896.6</td>
<td>6227.62</td>
<td>4003.47</td>
<td>2668.98</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>24.4928</td>
<td>17634.82</td>
<td>14234.56</td>
<td>9964.19</td>
<td>6405.55</td>
<td>4270.37</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>30.616</td>
<td>22043.52</td>
<td>17793.2</td>
<td>12455.24</td>
<td>8006.94</td>
<td>5337.96</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>24.275</td>
<td>17478</td>
<td>12484.46</td>
<td>10611.79</td>
<td>6866.45</td>
<td>4744.09</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>97.101</td>
<td>69912.72</td>
<td>49937.83</td>
<td>42447.15</td>
<td>27465.8</td>
<td>18976.37</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>194.203</td>
<td>139826.16</td>
<td>99875.65</td>
<td>84894.3</td>
<td>54931.61</td>
<td>37952.75</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>1.0057</td>
<td>724.1</td>
<td>520.76</td>
<td>364.53</td>
<td>234.34</td>
<td>156.23</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.0114</td>
<td>1448.21</td>
<td>1041.52</td>
<td>729.06</td>
<td>468.68</td>
<td>312.46</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.0228</td>
<td>2896.42</td>
<td>2083.04</td>
<td>1458.13</td>
<td>937.37</td>
<td>624.91</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.0342</td>
<td>4344.62</td>
<td>3124.56</td>
<td>2187.19</td>
<td>1406.05</td>
<td>937.37</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.0456</td>
<td>5792.83</td>
<td>4166.08</td>
<td>2916.26</td>
<td>1874.74</td>
<td>1249.82</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.0684</td>
<td>8689.25</td>
<td>6249.12</td>
<td>4374.38</td>
<td>2812.1</td>
<td>1874.74</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.0912</td>
<td>11585.66</td>
<td>8332.16</td>
<td>5832.51</td>
<td>3749.47</td>
<td>2499.65</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>20.114</td>
<td>14482.08</td>
<td>10415.2</td>
<td>7290.64</td>
<td>4686.84</td>
<td>3124.56</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>32.1824</td>
<td>23171.33</td>
<td>16664.32</td>
<td>11665.02</td>
<td>7498.94</td>
<td>4999.3</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>40.228</td>
<td>28964.16</td>
<td>20830.4</td>
<td>14581.28</td>
<td>9373.68</td>
<td>6249.12</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>53.04</td>
<td>38188.8</td>
<td>24619.92</td>
<td>20926.93</td>
<td>13540.96</td>
<td>9355.57</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.13xlarge</td>
<td>52</td>
<td>768</td>
<td>33.1881</td>
<td>23895.43</td>
<td>17897.45</td>
<td>12528.21</td>
<td>8053.85</td>
<td>5369.23</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.26xlarge</td>
<td>104</td>
<td>1536</td>
<td>66.3673</td>
<td>47784.46</td>
<td>35794.9</td>
<td>25056.43</td>
<td>16107.7</td>
<td>10738.47</td>
</tr>
<tr>
<td>持久内存型 ecs.re6.52xlarge</td>
<td>208</td>
<td>3072</td>
<td>132.7435</td>
<td>95575.32</td>
<td>71589.79</td>
<td>50112.85</td>
<td>32215.41</td>
<td>21476.94</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>0.99858</td>
<td>718.98</td>
<td>520.81</td>
<td>364.56</td>
<td>234.36</td>
<td>156.24</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.99716</td>
<td>1437.96</td>
<td>1041.61</td>
<td>729.13</td>
<td>468.73</td>
<td>312.48</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.99432</td>
<td>2875.91</td>
<td>2083.22</td>
<td>1458.26</td>
<td>937.45</td>
<td>624.97</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.98864</td>
<td>5751.82</td>
<td>4166.45</td>
<td>2916.51</td>
<td>1874.9</td>
<td>1249.93</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.97728</td>
<td>11503.64</td>
<td>8332.9</td>
<td>5833.03</td>
<td>3749.8</td>
<td>2499.87</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>25.96308</td>
<td>18693.42</td>
<td>13540.96</td>
<td>9478.67</td>
<td>6093.43</td>
<td>4062.29</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.5607</td>
<td>403.7</td>
<td>318.45</td>
<td>222.92</td>
<td>143.3</td>
<td>121.01</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.1214</td>
<td>807.41</td>
<td>636.91</td>
<td>445.84</td>
<td>286.61</td>
<td>191.07</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.2428</td>
<td>1614.82</td>
<td>1273.82</td>
<td>891.67</td>
<td>573.22</td>
<td>382.15</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.4856</td>
<td>3229.63</td>
<td>2547.64</td>
<td>1783.35</td>
<td>1146.44</td>
<td>764.29</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.9712</td>
<td>6459.26</td>
<td>5095.27</td>
<td>3566.69</td>
<td>2292.87</td>
<td>1528.58</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>14.5782</td>
<td>10496.3</td>
<td>8279.82</td>
<td>5795.87</td>
<td>3725.92</td>
<td>2483.95</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>29.1564</td>
<td>20992.61</td>
<td>16559.63</td>
<td>11591.74</td>
<td>7451.84</td>
<td>4967.89</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.large</td>
<td>2</td>
<td>4</td>
<td>0.37264</td>
<td>268.3</td>
<td>222.67</td>
<td>155.87</td>
<td>122.47</td>
<td>84.61</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.74528</td>
<td>536.6</td>
<td>445.33</td>
<td>311.73</td>
<td>200.4</td>
<td>133.6</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.48584</td>
<td>1069.8</td>
<td>890.67</td>
<td>623.47</td>
<td>400.8</td>
<td>267.2</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.9716</td>
<td>2139.55</td>
<td>1781.35</td>
<td>1246.94</td>
<td>801.61</td>
<td>534.4</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.9432</td>
<td>4279.1</td>
<td>3562.69</td>
<td>2493.88</td>
<td>1603.21</td>
<td>1068.81</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.16xlarge</td>
<td>64</td>
<td>128</td>
<td>11.8864</td>
<td>8558.21</td>
<td>7125.38</td>
<td>4987.77</td>
<td>3206.42</td>
<td>2137.61</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.large</td>
<td>2</td>
<td>8</td>
<td>0.544934</td>
<td>392.35</td>
<td>326.96</td>
<td>228.87</td>
<td>147.13</td>
<td>124.25</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.08987</td>
<td>784.71</td>
<td>653.92</td>
<td>457.74</td>
<td>294.27</td>
<td>196.18</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.17974</td>
<td>1569.41</td>
<td>1307.84</td>
<td>915.49</td>
<td>588.53</td>
<td>392.35</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.35948</td>
<td>3138.83</td>
<td>2615.69</td>
<td>1830.98</td>
<td>1177.06</td>
<td>784.71</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.71896</td>
<td>6277.65</td>
<td>5231.38</td>
<td>3661.96</td>
<td>2354.12</td>
<td>1569.41</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.16xlarge</td>
<td>64</td>
<td>256</td>
<td>17.43792</td>
<td>12555.3</td>
<td>10462.75</td>
<td>7323.93</td>
<td>4708.24</td>
<td>3138.83</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>11.236</td>
<td>8089.92</td>
<td>5910.9</td>
<td>4666.5</td>
<td>2799.9</td>
<td>1866.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>13.527</td>
<td>9739.44</td>
<td>7117.4</td>
<td>5619</td>
<td>3371.4</td>
<td>2247.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>22.471</td>
<td>16179.12</td>
<td>11822.75</td>
<td>9333.75</td>
<td>5600.25</td>
<td>3733.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>27.055</td>
<td>19479.6</td>
<td>14235.75</td>
<td>11238.75</td>
<td>6743.25</td>
<td>4495.5</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>22.46</td>
<td>16171.2</td>
<td>10242.9</td>
<td>8086.5</td>
<td>4851.9</td>
<td>3234.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>44.92</td>
<td>32342.4</td>
<td>20485.8</td>
<td>16173</td>
<td>9703.8</td>
<td>6469.2</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.548</td>
<td>394.56</td>
<td>261.96</td>
<td>222.67</td>
<td>144.08</td>
<td>99.54</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.096</td>
<td>789.12</td>
<td>523.92</td>
<td>445.33</td>
<td>288.16</td>
<td>199.09</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.185</td>
<td>1573.2</td>
<td>1047.85</td>
<td>890.67</td>
<td>576.32</td>
<td>398.18</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.28</td>
<td>2361.6</td>
<td>1571.77</td>
<td>1336</td>
<td>864.47</td>
<td>597.27</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.369</td>
<td>3145.68</td>
<td>2095.7</td>
<td>1781.35</td>
<td>1152.63</td>
<td>796.37</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.554</td>
<td>4718.88</td>
<td>3143.55</td>
<td>2672.02</td>
<td>1728.95</td>
<td>1194.55</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.732</td>
<td>6287.04</td>
<td>4191.4</td>
<td>3562.69</td>
<td>2305.27</td>
<td>1592.73</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>17.464</td>
<td>12574.08</td>
<td>8382.79</td>
<td>7125.37</td>
<td>4610.53</td>
<td>3185.46</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.778</td>
<td>560.16</td>
<td>384.66</td>
<td>326.96</td>
<td>211.56</td>
<td>146.17</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.556</td>
<td>1120.32</td>
<td>769.32</td>
<td>653.92</td>
<td>423.13</td>
<td>292.34</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.111</td>
<td>2239.92</td>
<td>1538.63</td>
<td>1307.84</td>
<td>846.25</td>
<td>584.68</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.667</td>
<td>3360.24</td>
<td>2307.95</td>
<td>1961.76</td>
<td>1269.37</td>
<td>877.02</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.223</td>
<td>4480.56</td>
<td>3077.26</td>
<td>2615.67</td>
<td>1692.49</td>
<td>1169.36</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.334</td>
<td>6720.48</td>
<td>4615.89</td>
<td>3923.51</td>
<td>2538.74</td>
<td>1754.04</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.445</td>
<td>8960.4</td>
<td>6154.53</td>
<td>5231.35</td>
<td>3384.99</td>
<td>2338.72</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>24.891</td>
<td>17921.52</td>
<td>12309.05</td>
<td>10462.69</td>
<td>6769.98</td>
<td>4677.44</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>0.933</td>
<td>671.76</td>
<td>447.9</td>
<td>380.71</td>
<td>246.34</td>
<td>170.2</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.867</td>
<td>1344.24</td>
<td>895.8</td>
<td>761.43</td>
<td>492.69</td>
<td>340.4</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.734</td>
<td>2688.48</td>
<td>1791.6</td>
<td>1522.86</td>
<td>985.38</td>
<td>680.81</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.6</td>
<td>4032</td>
<td>2687.4</td>
<td>2284.29</td>
<td>1478.07</td>
<td>1021.21</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.467</td>
<td>5376.24</td>
<td>3583.2</td>
<td>3045.72</td>
<td>1970.76</td>
<td>1361.62</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>11.201</td>
<td>8064.72</td>
<td>5374.79</td>
<td>4568.57</td>
<td>2956.13</td>
<td>2042.42</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.934</td>
<td>10752.48</td>
<td>7166.39</td>
<td>6091.43</td>
<td>3941.51</td>
<td>2723.23</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>29.862</td>
<td>21500.64</td>
<td>14332.78</td>
<td>12182.86</td>
<td>7883.03</td>
<td>5446.46</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.656</td>
<td>472.32</td>
<td>314.25</td>
<td>267.11</td>
<td>172.84</td>
<td>119.41</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.312</td>
<td>944.64</td>
<td>628.49</td>
<td>534.22</td>
<td>345.67</td>
<td>238.83</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.624</td>
<td>1889.28</td>
<td>1256.99</td>
<td>1068.44</td>
<td>691.34</td>
<td>477.66</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.93</td>
<td>2829.6</td>
<td>1885.48</td>
<td>1602.66</td>
<td>1037.01</td>
<td>716.48</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.242</td>
<td>3774.24</td>
<td>2513.97</td>
<td>2136.87</td>
<td>1382.68</td>
<td>955.31</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.86</td>
<td>5659.2</td>
<td>3770.96</td>
<td>3205.32</td>
<td>2074.03</td>
<td>1432.96</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.477</td>
<td>7543.44</td>
<td>5027.95</td>
<td>4273.76</td>
<td>2765.37</td>
<td>1910.62</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>0.812</td>
<td>584.64</td>
<td>407.65</td>
<td>346.5</td>
<td>224.21</td>
<td>154.91</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.61</td>
<td>1159.2</td>
<td>815.31</td>
<td>693.01</td>
<td>448.42</td>
<td>309.82</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.22</td>
<td>2318.4</td>
<td>1625.41</td>
<td>1381.6</td>
<td>893.98</td>
<td>617.66</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.823</td>
<td>3472.56</td>
<td>2438.08</td>
<td>2072.37</td>
<td>1340.94</td>
<td>926.47</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.433</td>
<td>4631.76</td>
<td>3250.75</td>
<td>2763.14</td>
<td>1787.91</td>
<td>1235.29</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.646</td>
<td>6945.12</td>
<td>4876.1</td>
<td>4144.69</td>
<td>2681.86</td>
<td>1852.92</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.859</td>
<td>9258.48</td>
<td>6501.44</td>
<td>5526.22</td>
<td>3575.79</td>
<td>2470.55</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>22.504</td>
<td>16202.88</td>
<td>11377.54</td>
<td>9670.91</td>
<td>6257.65</td>
<td>4323.47</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.0465</td>
<td>33.48</td>
<td>20.9</td>
<td>16.5</td>
<td>9.9</td>
<td>6.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.0744</td>
<td>53.57</td>
<td>38.95</td>
<td>30.75</td>
<td>18.45</td>
<td>12.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.1209</td>
<td>87.05</td>
<td>63.65</td>
<td>50.25</td>
<td>30.15</td>
<td>20.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.2046</td>
<td>147.31</td>
<td>103.55</td>
<td>81.75</td>
<td>49.05</td>
<td>32.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2697</td>
<td>194.18</td>
<td>143.45</td>
<td>113.25</td>
<td>67.95</td>
<td>45.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.4371</td>
<td>314.71</td>
<td>222.3</td>
<td>175.5</td>
<td>105.3</td>
<td>70.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2418</td>
<td>174.1</td>
<td>126.35</td>
<td>99.75</td>
<td>59.85</td>
<td>39.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.3534</td>
<td>254.45</td>
<td>187.15</td>
<td>147.75</td>
<td>88.65</td>
<td>59.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.3999</td>
<td>287.93</td>
<td>207.1</td>
<td>163.5</td>
<td>98.1</td>
<td>65.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.5394</td>
<td>388.37</td>
<td>286.9</td>
<td>226.5</td>
<td>135.9</td>
<td>90.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.8835</td>
<td>636.12</td>
<td>444.6</td>
<td>351</td>
<td>210.6</td>
<td>140.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>0.7905</td>
<td>569.16</td>
<td>414.2</td>
<td>327</td>
<td>196.2</td>
<td>130.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.0788</td>
<td>776.74</td>
<td>573.8</td>
<td>453</td>
<td>271.8</td>
<td>181.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.7577</td>
<td>1265.54</td>
<td>889.2</td>
<td>702</td>
<td>421.2</td>
<td>280.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>1.5717</td>
<td>1131.62</td>
<td>827.45</td>
<td>653.25</td>
<td>391.95</td>
<td>261.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.1669</td>
<td>1560.17</td>
<td>1147.6</td>
<td>906</td>
<td>543.6</td>
<td>362.4</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.521</td>
<td>375.12</td>
<td>248.91</td>
<td>211.57</td>
<td>136.9</td>
<td>94.59</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.042</td>
<td>750.24</td>
<td>497.75</td>
<td>423.09</td>
<td>273.76</td>
<td>189.15</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.076</td>
<td>1494.72</td>
<td>995.5</td>
<td>846.18</td>
<td>547.53</td>
<td>378.29</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.111</td>
<td>2239.92</td>
<td>1493.25</td>
<td>1269.26</td>
<td>821.29</td>
<td>567.43</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.153</td>
<td>2990.16</td>
<td>1990.93</td>
<td>1692.29</td>
<td>1095.01</td>
<td>756.55</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>6.223</td>
<td>4480.56</td>
<td>2986.42</td>
<td>2538.46</td>
<td>1642.53</td>
<td>1134.84</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>8.299</td>
<td>5975.28</td>
<td>3981.85</td>
<td>3384.57</td>
<td>2190.02</td>
<td>1513.1</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>16.592</td>
<td>11946.24</td>
<td>7963.71</td>
<td>6769.15</td>
<td>4380.04</td>
<td>3026.21</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.941448</td>
<td>677.84</td>
<td>484.17</td>
<td>338.92</td>
<td>217.88</td>
<td>145.25</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.882896</td>
<td>1355.69</td>
<td>968.34</td>
<td>677.84</td>
<td>435.75</td>
<td>290.5</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.5956</td>
<td>2588.83</td>
<td>1936.68</td>
<td>1355.68</td>
<td>871.51</td>
<td>581</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.1912</td>
<td>5177.66</td>
<td>3873.36</td>
<td>2711.35</td>
<td>1743.01</td>
<td>1162.01</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.3824</td>
<td>10355.33</td>
<td>7746.72</td>
<td>5422.7</td>
<td>3486.02</td>
<td>2324.02</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>28.7648</td>
<td>20710.66</td>
<td>15493.44</td>
<td>10845.41</td>
<td>6972.05</td>
<td>4648.03</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>32.3604</td>
<td>23299.49</td>
<td>17430.12</td>
<td>12201.08</td>
<td>7843.55</td>
<td>5229.04</td>
</tr>
<tr>
<td>通用型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.189</td>
<td>136.08</td>
<td>100.16</td>
<td>85.14</td>
<td>50.08</td>
<td>50.08</td>
</tr>
<tr>
<td>通用型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.377</td>
<td>271.44</td>
<td>200.89</td>
<td>170.76</td>
<td>100.44</td>
<td>100.44</td>
</tr>
<tr>
<td>通用型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.171</td>
<td>843.12</td>
<td>623</td>
<td>529.55</td>
<td>311.5</td>
<td>311.5</td>
</tr>
<tr>
<td>通用型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.334</td>
<td>1680.48</td>
<td>1245</td>
<td>1058.25</td>
<td>622.5</td>
<td>622.5</td>
</tr>
<tr>
<td>通用型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.668</td>
<td>3360.96</td>
<td>2490</td>
<td>2116.5</td>
<td>1245</td>
<td>1245</td>
</tr>
<tr>
<td>通用型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.335</td>
<td>6721.2</td>
<td>4979</td>
<td>4232.15</td>
<td>2489.5</td>
<td>2489.5</td>
</tr>
<tr>
<td>通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.414</td>
<td>298.08</td>
<td>206.15</td>
<td>175.23</td>
<td>103.07</td>
<td>103.08</td>
</tr>
<tr>
<td>通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>0.828</td>
<td>596.16</td>
<td>412.31</td>
<td>350.46</td>
<td>206.16</td>
<td>206.16</td>
</tr>
<tr>
<td>通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.656</td>
<td>1192.32</td>
<td>824.56</td>
<td>700.88</td>
<td>412.28</td>
<td>412.28</td>
</tr>
<tr>
<td>通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.311</td>
<td>2383.92</td>
<td>1649.19</td>
<td>1401.81</td>
<td>824.59</td>
<td>824.59</td>
</tr>
<tr>
<td>通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.621</td>
<td>4767.12</td>
<td>3298.38</td>
<td>2803.62</td>
<td>1649.19</td>
<td>1649.19</td>
</tr>
<tr>
<td>通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.241</td>
<td>9533.52</td>
<td>6596.76</td>
<td>5607.25</td>
<td>3298.38</td>
<td>3298.38</td>
</tr>
<tr>
<td>通用型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.095</td>
<td>68.4</td>
<td>50.36</td>
<td>42.81</td>
<td>25.18</td>
<td>25.18</td>
</tr>
<tr>
<td>经济型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.552</td>
<td>397.44</td>
<td>253.7</td>
<td>215.64</td>
<td>126.85</td>
<td>126.85</td>
</tr>
<tr>
<td>计算型 ecs.cm4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.95</td>
<td>1404</td>
<td>939.94</td>
<td>742.06</td>
<td>445.23</td>
<td>296.82</td>
</tr>
<tr>
<td>计算型 ecs.cm4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.97</td>
<td>2858.4</td>
<td>1880</td>
<td>1484.21</td>
<td>890.53</td>
<td>593.68</td>
</tr>
<tr>
<td>计算型 ecs.cm4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.85</td>
<td>4212</td>
<td>2819.82</td>
<td>2226.17</td>
<td>1335.7</td>
<td>890.47</td>
</tr>
<tr>
<td>计算型 ecs.cm4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.94</td>
<td>5716.8</td>
<td>3760.08</td>
<td>2968.49</td>
<td>1781.09</td>
<td>1187.39</td>
</tr>
<tr>
<td>计算型 ecs.cm4.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.91</td>
<td>8575.2</td>
<td>5640.09</td>
<td>4452.7</td>
<td>2671.62</td>
<td>1781.08</td>
</tr>
<tr>
<td>计算型 ecs.ce4.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.64</td>
<td>1900.8</td>
<td>1156.85</td>
<td>913.3</td>
<td>547.98</td>
<td>365.32</td>
</tr>
<tr>
<td>计算型 ecs.ce4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.28</td>
<td>3801.6</td>
<td>2313.71</td>
<td>1826.61</td>
<td>1095.97</td>
<td>730.64</td>
</tr>
<tr>
<td>计算型 ecs.c4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.53</td>
<td>1101.6</td>
<td>761</td>
<td>600.79</td>
<td>360.47</td>
<td>240.31</td>
</tr>
<tr>
<td>计算型 ecs.c4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.06</td>
<td>2203.2</td>
<td>1522</td>
<td>1201.58</td>
<td>720.95</td>
<td>480.63</td>
</tr>
<tr>
<td>计算型 ecs.c4.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.596</td>
<td>3309.12</td>
<td>2282.99</td>
<td>1802.36</td>
<td>1081.42</td>
<td>720.94</td>
</tr>
<tr>
<td>计算型 ecs.c4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.13</td>
<td>4413.6</td>
<td>3044.01</td>
<td>2403.16</td>
<td>1441.9</td>
<td>961.27</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.10xlarge</td>
<td>40</td>
<td>480</td>
<td>31.285</td>
<td>22525.2</td>
<td>14073</td>
<td>11962.05</td>
<td>7036.5</td>
<td>7036.5</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.20xlarge</td>
<td>80</td>
<td>960</td>
<td>62.57</td>
<td>45050.4</td>
<td>28146</td>
<td>23924.1</td>
<td>14073</td>
<td>14073</td>
</tr>
<tr>
<td>持久内存型 ecs.re4.40xlarge</td>
<td>160</td>
<td>1920</td>
<td>125.13</td>
<td>90093.6</td>
<td>56291</td>
<td>47847.35</td>
<td>28145.5</td>
<td>28145.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.0736</td>
<td>1492.99</td>
<td>1242.76</td>
<td>869.93</td>
<td>559.24</td>
<td>372.83</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.1464</td>
<td>2985.41</td>
<td>2485.51</td>
<td>1739.86</td>
<td>1118.48</td>
<td>745.65</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.2872</td>
<td>5966.78</td>
<td>4971.02</td>
<td>3479.71</td>
<td>2236.96</td>
<td>1491.31</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.5736</td>
<td>11932.99</td>
<td>9942.03</td>
<td>6959.42</td>
<td>4473.91</td>
<td>2982.61</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.13xlarge</td>
<td>52</td>
<td>384</td>
<td>24.86</td>
<td>17899.2</td>
<td>14913.04</td>
<td>10439.13</td>
<td>6710.87</td>
<td>4473.91</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.26xlarge</td>
<td>104</td>
<td>768</td>
<td>49.7136</td>
<td>35793.79</td>
<td>29826.08</td>
<td>20878.26</td>
<td>13421.74</td>
<td>8947.82</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.06</td>
<td>2203.2</td>
<td>1834.01</td>
<td>1283.81</td>
<td>825.3</td>
<td>550.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.1192</td>
<td>4405.82</td>
<td>3668.01</td>
<td>2567.61</td>
<td>1650.6</td>
<td>1100.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.232</td>
<td>8807.04</td>
<td>7336.02</td>
<td>5135.21</td>
<td>3301.21</td>
<td>2200.81</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.13xlarge</td>
<td>52</td>
<td>192</td>
<td>18.3456</td>
<td>13208.83</td>
<td>11004.02</td>
<td>7702.81</td>
<td>4951.81</td>
<td>3301.21</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.26xlarge</td>
<td>104</td>
<td>384</td>
<td>36.6848</td>
<td>26413.06</td>
<td>22008.04</td>
<td>15405.63</td>
<td>9903.62</td>
<td>6602.41</td>
</tr>
<tr>
<td>ecs.sn2ne.large</td>
<td>2</td>
<td>8</td>
<td>0.87</td>
<td>626.4</td>
<td>432.92</td>
<td>367.98</td>
<td>238.11</td>
<td>164.51</td>
</tr>
<tr>
<td>ecs.sn2ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.739</td>
<td>1252.08</td>
<td>865.78</td>
<td>735.91</td>
<td>476.18</td>
<td>329</td>
</tr>
<tr>
<td>ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.477</td>
<td>2503.44</td>
<td>1731.64</td>
<td>1471.89</td>
<td>952.4</td>
<td>658.02</td>
</tr>
<tr>
<td>ecs.sn2ne.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.22</td>
<td>3758.4</td>
<td>2597.52</td>
<td>2207.89</td>
<td>1428.64</td>
<td>987.06</td>
</tr>
<tr>
<td>ecs.sn2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.953</td>
<td>5006.16</td>
<td>3463.29</td>
<td>2943.8</td>
<td>1904.81</td>
<td>1316.05</td>
</tr>
<tr>
<td>ecs.sn2ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.44</td>
<td>7516.8</td>
<td>5195.04</td>
<td>4415.78</td>
<td>2857.27</td>
<td>1974.12</td>
</tr>
<tr>
<td>ecs.sn2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.904</td>
<td>10010.88</td>
<td>6926.59</td>
<td>5887.6</td>
<td>3809.62</td>
<td>2632.1</td>
</tr>
<tr>
<td>ecs.sn2ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>24.33</td>
<td>17517.6</td>
<td>12122.06</td>
<td>10303.75</td>
<td>6667.13</td>
<td>4606.38</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.712</td>
<td>1232.64</td>
<td>1053</td>
<td>737.1</td>
<td>473.85</td>
<td>315.9</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.416</td>
<td>2459.52</td>
<td>2105</td>
<td>1473.5</td>
<td>947.25</td>
<td>631.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.824</td>
<td>4913.28</td>
<td>4209</td>
<td>2946.3</td>
<td>1894.05</td>
<td>1262.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.64</td>
<td>9820.8</td>
<td>8418</td>
<td>5892.6</td>
<td>3788.1</td>
<td>2525.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>27.28</td>
<td>19641.6</td>
<td>16835</td>
<td>11784.5</td>
<td>7575.75</td>
<td>5050.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.808</td>
<td>2021.76</td>
<td>1639.41</td>
<td>1207.98</td>
<td>776.56</td>
<td>517.71</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.616</td>
<td>4043.52</td>
<td>3278.81</td>
<td>2415.97</td>
<td>1553.12</td>
<td>1035.41</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.2312</td>
<td>8086.46</td>
<td>6557.62</td>
<td>4831.93</td>
<td>3106.24</td>
<td>2070.83</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.464</td>
<td>16174.08</td>
<td>13115.24</td>
<td>9663.86</td>
<td>6212.48</td>
<td>4141.66</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.9488</td>
<td>2123.14</td>
<td>1811.98</td>
<td>1268.39</td>
<td>815.39</td>
<td>543.59</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.8976</td>
<td>4246.27</td>
<td>3623.96</td>
<td>2536.77</td>
<td>1630.78</td>
<td>1087.19</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.7928</td>
<td>8490.82</td>
<td>7247.9</td>
<td>5073.53</td>
<td>3261.55</td>
<td>2174.37</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>23.5904</td>
<td>16985.09</td>
<td>14495.84</td>
<td>10147.09</td>
<td>6523.13</td>
<td>4348.75</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>18.8304</td>
<td>13557.89</td>
<td>6778.69</td>
<td>4745.08</td>
<td>3050.41</td>
<td>2033.61</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>37.66</td>
<td>27115.2</td>
<td>13557.37</td>
<td>9490.16</td>
<td>6100.82</td>
<td>4067.21</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>75.3192</td>
<td>54229.82</td>
<td>27114.7</td>
<td>18980.29</td>
<td>12201.61</td>
<td>8134.41</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.104</td>
<td>794.88</td>
<td>507.41</td>
<td>431.3</td>
<td>253.7</td>
<td>253.7</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.207</td>
<td>1589.04</td>
<td>1014.89</td>
<td>862.66</td>
<td>507.44</td>
<td>507.44</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.414</td>
<td>3178.08</td>
<td>2029.78</td>
<td>1725.31</td>
<td>1014.89</td>
<td>1014.89</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.827</td>
<td>6355.44</td>
<td>4059.5</td>
<td>3450.58</td>
<td>2029.75</td>
<td>2029.75</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>17.661</td>
<td>12715.92</td>
<td>8119</td>
<td>6901.15</td>
<td>4059.5</td>
<td>4059.5</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>32.55</td>
<td>23436</td>
<td>14968.65</td>
<td>12723.35</td>
<td>7484.33</td>
<td>7484.32</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.84</td>
<td>1324.8</td>
<td>842.65</td>
<td>665.25</td>
<td>399.15</td>
<td>266.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.69</td>
<td>2656.8</td>
<td>1686.25</td>
<td>1331.25</td>
<td>798.75</td>
<td>532.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.54</td>
<td>3988.8</td>
<td>2528.9</td>
<td>1996.5</td>
<td>1197.9</td>
<td>798.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.39</td>
<td>5320.8</td>
<td>3373.45</td>
<td>2663.25</td>
<td>1597.95</td>
<td>1065.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>9.07</td>
<td>6530.4</td>
<td>4138.2</td>
<td>3267</td>
<td>1960.2</td>
<td>1306.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.04</td>
<td>7948.8</td>
<td>5055.9</td>
<td>3991.5</td>
<td>2394.9</td>
<td>1596.6</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.78</td>
<td>10641.6</td>
<td>6745.95</td>
<td>5325.75</td>
<td>3195.45</td>
<td>2130.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.79</td>
<td>11368.8</td>
<td>7204.8</td>
<td>5688</td>
<td>3412.8</td>
<td>2275.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>25.74</td>
<td>18532.8</td>
<td>11741.05</td>
<td>9269.25</td>
<td>5561.55</td>
<td>3707.7</td>
</tr>
<tr>
<td>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.3</td>
<td>3816</td>
<td>2420.6</td>
<td>1911</td>
<td>1146.6</td>
<td>764.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.61</td>
<td>7639.2</td>
<td>4842.15</td>
<td>3822.75</td>
<td>2293.65</td>
<td>1529.1</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>15.93</td>
<td>11469.6</td>
<td>7263.7</td>
<td>5734.5</td>
<td>3440.7</td>
<td>2293.8</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.38</td>
<td>14673.6</td>
<td>9298.6</td>
<td>7341</td>
<td>4404.6</td>
<td>2936.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>30.92</td>
<td>22262.4</td>
<td>14101.8</td>
<td>11133</td>
<td>6679.8</td>
<td>4453.2</td>
</tr>
<tr>
<td>ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>0.709</td>
<td>510.48</td>
<td>352.3</td>
<td>299.45</td>
<td>193.76</td>
<td>133.87</td>
</tr>
<tr>
<td>ecs.sn1ne.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.413</td>
<td>1017.36</td>
<td>717.05</td>
<td>609.49</td>
<td>394.38</td>
<td>272.48</td>
</tr>
<tr>
<td>ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.824</td>
<td>2033.28</td>
<td>1429.57</td>
<td>1215.13</td>
<td>786.26</td>
<td>543.24</td>
</tr>
<tr>
<td>ecs.sn1ne.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.254</td>
<td>3062.88</td>
<td>2113.8</td>
<td>1796.73</td>
<td>1162.59</td>
<td>803.24</td>
</tr>
<tr>
<td>ecs.sn1ne.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.653</td>
<td>4070.16</td>
<td>2859.15</td>
<td>2430.28</td>
<td>1572.53</td>
<td>1086.48</td>
</tr>
<tr>
<td>ecs.sn1ne.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.508</td>
<td>6125.76</td>
<td>4227.6</td>
<td>3593.46</td>
<td>2325.18</td>
<td>1606.49</td>
</tr>
<tr>
<td>ecs.sn1ne.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.297</td>
<td>8133.84</td>
<td>5718.3</td>
<td>4860.56</td>
<td>3145.07</td>
<td>2172.95</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.large</td>
<td>2</td>
<td>16</td>
<td>1.16</td>
<td>835.2</td>
<td>532.78</td>
<td>452.86</td>
<td>293.03</td>
<td>202.46</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.318</td>
<td>1668.96</td>
<td>1065.63</td>
<td>905.79</td>
<td>586.1</td>
<td>404.94</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.635</td>
<td>3337.2</td>
<td>2131.26</td>
<td>1811.57</td>
<td>1172.19</td>
<td>809.88</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.96</td>
<td>5011.2</td>
<td>3196.68</td>
<td>2717.18</td>
<td>1758.17</td>
<td>1214.74</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.269</td>
<td>6673.68</td>
<td>4262.47</td>
<td>3623.1</td>
<td>2344.36</td>
<td>1619.74</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.6xlarge</td>
<td>24</td>
<td>192</td>
<td>13.92</td>
<td>10022.4</td>
<td>6393.36</td>
<td>5434.36</td>
<td>3516.35</td>
<td>2429.48</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>18.545</td>
<td>13352.4</td>
<td>8524.95</td>
<td>7246.21</td>
<td>4688.72</td>
<td>3239.48</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.14xlarge</td>
<td>56</td>
<td>480</td>
<td>34.178</td>
<td>24608.16</td>
<td>15717.08</td>
<td>13359.52</td>
<td>8644.39</td>
<td>5972.49</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.418</td>
<td>3900.96</td>
<td>2468.92</td>
<td>1949.15</td>
<td>1169.49</td>
<td>779.66</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.829</td>
<td>7796.88</td>
<td>4937.9</td>
<td>3898.34</td>
<td>2339.01</td>
<td>1559.34</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>16.247</td>
<td>11697.84</td>
<td>7406.75</td>
<td>5847.44</td>
<td>3508.46</td>
<td>2338.97</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.83</td>
<td>14997.6</td>
<td>9483.85</td>
<td>7487.25</td>
<td>4492.35</td>
<td>2994.9</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>31.61</td>
<td>22759.2</td>
<td>14383</td>
<td>11355</td>
<td>6813</td>
<td>4542</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2246</td>
<td>161.71</td>
<td>103.96</td>
<td>88.36</td>
<td>57.18</td>
<td>39.5</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.4992</td>
<td>359.42</td>
<td>230.95</td>
<td>196.31</td>
<td>127.02</td>
<td>87.76</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.1123</td>
<td>80.86</td>
<td>51.98</td>
<td>44.18</td>
<td>28.59</td>
<td>19.75</td>
</tr>
<tr>
<td>经济型 ecs.e-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.0312</td>
<td>22.46</td>
<td>14.42</td>
<td>12.26</td>
<td>7.93</td>
<td>5.48</td>
</tr>
<tr>
<td>经济型 ecs.e-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.0624</td>
<td>44.93</td>
<td>28.85</td>
<td>24.52</td>
<td>15.87</td>
<td>10.96</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9984</td>
<td>718.85</td>
<td>462.37</td>
<td>393.02</td>
<td>254.3</td>
<td>175.7</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.6689</td>
<td>481.61</td>
<td>309.79</td>
<td>263.32</td>
<td>170.38</td>
<td>117.72</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.9968</td>
<td>1437.7</td>
<td>924.28</td>
<td>785.64</td>
<td>508.35</td>
<td>351.23</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.3378</td>
<td>963.22</td>
<td>619.27</td>
<td>526.38</td>
<td>340.6</td>
<td>235.32</td>
</tr>
</tbody>
</table>
<h3>2、英国（伦敦）地域云服务器收费标准</h3>
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(小时)</th>
<th>按量月估价(30天)</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>0.567375</td>
<td>408.51</td>
<td>326.95</td>
<td>196.17</td>
<td>124.24</td>
<td>124.24</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.476595</td>
<td>343.15</td>
<td>265.49</td>
<td>159.29</td>
<td>100.89</td>
<td>100.89</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.large</td>
<td>2</td>
<td>16</td>
<td>0.7565</td>
<td>544.68</td>
<td>389.83</td>
<td>233.9</td>
<td>148.13</td>
<td>148.13</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.453059</td>
<td>326.2</td>
<td>252.21</td>
<td>151.33</td>
<td>95.84</td>
<td>95.84</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.905278</td>
<td>651.8</td>
<td>504.43</td>
<td>302.66</td>
<td>191.68</td>
<td>191.68</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.513</td>
<td>1089.36</td>
<td>779.65</td>
<td>467.79</td>
<td>296.27</td>
<td>296.27</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.95319</td>
<td>686.3</td>
<td>530.98</td>
<td>318.59</td>
<td>201.77</td>
<td>201.77</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.13475</td>
<td>817.02</td>
<td>653.91</td>
<td>392.34</td>
<td>248.48</td>
<td>248.48</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.2695</td>
<td>1634.04</td>
<td>1307.81</td>
<td>784.69</td>
<td>496.97</td>
<td>496.97</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.90638</td>
<td>1372.59</td>
<td>1061.96</td>
<td>637.17</td>
<td>403.54</td>
<td>403.54</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.026</td>
<td>2178.72</td>
<td>1559.31</td>
<td>935.59</td>
<td>592.54</td>
<td>592.54</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.811397</td>
<td>1304.21</td>
<td>1008.86</td>
<td>605.31</td>
<td>383.37</td>
<td>383.37</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.40425</td>
<td>2451.06</td>
<td>1961.72</td>
<td>1177.03</td>
<td>745.45</td>
<td>745.45</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.3xlarge</td>
<td>12</td>
<td>12</td>
<td>2.716675</td>
<td>1956.01</td>
<td>1513.29</td>
<td>907.97</td>
<td>575.05</td>
<td>575.05</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.85957</td>
<td>2058.89</td>
<td>1592.93</td>
<td>955.76</td>
<td>605.32</td>
<td>605.32</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.539</td>
<td>3268.08</td>
<td>2338.96</td>
<td>1403.38</td>
<td>888.81</td>
<td>888.81</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>3.621954</td>
<td>2607.81</td>
<td>2017.72</td>
<td>1210.63</td>
<td>766.73</td>
<td>766.73</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.052</td>
<td>4357.44</td>
<td>3118.62</td>
<td>1871.17</td>
<td>1185.07</td>
<td>1185.07</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.539</td>
<td>3268.08</td>
<td>2615.62</td>
<td>1569.37</td>
<td>993.94</td>
<td>993.94</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.81276</td>
<td>2745.19</td>
<td>2123.91</td>
<td>1274.35</td>
<td>807.09</td>
<td>807.09</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.078</td>
<td>6536.16</td>
<td>5231.24</td>
<td>3138.74</td>
<td>1987.87</td>
<td>1987.87</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m8.8xlarge</td>
<td>32</td>
<td>256</td>
<td>12.104</td>
<td>8714.88</td>
<td>6237.23</td>
<td>3742.34</td>
<td>2370.15</td>
<td>2370.15</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m2.8xlarge</td>
<td>32</td>
<td>64</td>
<td>7.62552</td>
<td>5490.37</td>
<td>4247.82</td>
<td>2548.69</td>
<td>1614.17</td>
<td>1614.17</td>
</tr>
<tr>
<td>通用算力型 ecs.u1-c1m1.8xlarge</td>
<td>32</td>
<td>32</td>
<td>7.243908</td>
<td>5215.61</td>
<td>4035.43</td>
<td>2421.26</td>
<td>1533.46</td>
<td>1533.46</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.6675</td>
<td>480.6</td>
<td>384.65</td>
<td>269.25</td>
<td>173.09</td>
<td>115.39</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.335</td>
<td>961.2</td>
<td>769.3</td>
<td>538.51</td>
<td>346.19</td>
<td>230.79</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.67</td>
<td>1922.4</td>
<td>1538.6</td>
<td>1077.02</td>
<td>692.37</td>
<td>461.58</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.005</td>
<td>2883.6</td>
<td>2307.9</td>
<td>1615.53</td>
<td>1038.56</td>
<td>692.37</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.34</td>
<td>3844.8</td>
<td>3077.2</td>
<td>2154.04</td>
<td>1384.74</td>
<td>923.16</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>8.01</td>
<td>5767.2</td>
<td>4615.8</td>
<td>3231.06</td>
<td>2077.11</td>
<td>1384.74</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.68</td>
<td>7689.6</td>
<td>6154.4</td>
<td>4308.08</td>
<td>2769.48</td>
<td>1846.32</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>17.355</td>
<td>12495.6</td>
<td>10000.9</td>
<td>7000.63</td>
<td>4500.4</td>
<td>3000.27</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>34.71</td>
<td>24991.2</td>
<td>20001.8</td>
<td>14001.26</td>
<td>9000.81</td>
<td>6000.54</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>39</td>
<td>28080</td>
<td>20001.8</td>
<td>17001.53</td>
<td>11000.99</td>
<td>7600.68</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.73425</td>
<td>528.66</td>
<td>423.12</td>
<td>296.18</td>
<td>190.4</td>
<td>126.93</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.4685</td>
<td>1057.32</td>
<td>846.23</td>
<td>592.36</td>
<td>380.8</td>
<td>253.87</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.937</td>
<td>2114.64</td>
<td>1692.46</td>
<td>1184.72</td>
<td>761.61</td>
<td>507.74</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.874</td>
<td>4229.28</td>
<td>3384.92</td>
<td>2369.44</td>
<td>1523.21</td>
<td>1015.48</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.748</td>
<td>8458.56</td>
<td>6769.84</td>
<td>4738.89</td>
<td>3046.43</td>
<td>2030.95</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>19.0905</td>
<td>13745.16</td>
<td>11000.99</td>
<td>7700.69</td>
<td>4950.45</td>
<td>3300.3</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.5607</td>
<td>403.7</td>
<td>312.34</td>
<td>218.64</td>
<td>140.55</td>
<td>118.69</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.1214</td>
<td>807.41</td>
<td>624.68</td>
<td>437.28</td>
<td>281.11</td>
<td>187.4</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.2428</td>
<td>1614.82</td>
<td>1249.36</td>
<td>874.55</td>
<td>562.21</td>
<td>374.81</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.3642</td>
<td>2422.22</td>
<td>1874.04</td>
<td>1311.83</td>
<td>843.32</td>
<td>562.21</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.4856</td>
<td>3229.63</td>
<td>2498.72</td>
<td>1749.1</td>
<td>1124.42</td>
<td>749.62</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.7284</td>
<td>4844.45</td>
<td>3748.08</td>
<td>2623.66</td>
<td>1686.64</td>
<td>1124.42</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.9712</td>
<td>6459.26</td>
<td>4997.44</td>
<td>3498.21</td>
<td>2248.85</td>
<td>1499.23</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>14.5782</td>
<td>10496.3</td>
<td>8120.84</td>
<td>5684.59</td>
<td>3654.38</td>
<td>2436.25</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>29.1564</td>
<td>20992.61</td>
<td>16241.68</td>
<td>11369.18</td>
<td>7308.76</td>
<td>4872.5</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.89</td>
<td>640.8</td>
<td>458.62</td>
<td>321.03</td>
<td>206.38</td>
<td>137.59</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.78</td>
<td>1281.6</td>
<td>917.24</td>
<td>642.07</td>
<td>412.76</td>
<td>275.17</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.56</td>
<td>2563.2</td>
<td>1834.48</td>
<td>1284.14</td>
<td>825.52</td>
<td>550.34</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.34</td>
<td>3844.8</td>
<td>2751.72</td>
<td>1926.2</td>
<td>1238.27</td>
<td>825.52</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.12</td>
<td>5126.4</td>
<td>3668.96</td>
<td>2568.27</td>
<td>1651.03</td>
<td>1100.69</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.68</td>
<td>7689.6</td>
<td>5503.44</td>
<td>3852.41</td>
<td>2476.55</td>
<td>1651.03</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.24</td>
<td>10252.8</td>
<td>7337.92</td>
<td>5136.54</td>
<td>3302.06</td>
<td>2201.38</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>23.14</td>
<td>16660.8</td>
<td>11924.12</td>
<td>8346.88</td>
<td>5365.85</td>
<td>3577.24</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>46.28</td>
<td>33321.6</td>
<td>23848.24</td>
<td>16693.77</td>
<td>10731.71</td>
<td>7154.47</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.0465</td>
<td>33.48</td>
<td>18.39</td>
<td>15.63</td>
<td>10.11</td>
<td>6.99</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.0744</td>
<td>53.57</td>
<td>36.36</td>
<td>30.91</td>
<td>20</td>
<td>13.82</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.1302</td>
<td>93.74</td>
<td>73.21</td>
<td>62.23</td>
<td>40.27</td>
<td>27.82</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2697</td>
<td>194.18</td>
<td>146</td>
<td>124.1</td>
<td>80.3</td>
<td>55.48</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.5301</td>
<td>381.67</td>
<td>292.42</td>
<td>248.56</td>
<td>160.83</td>
<td>111.12</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.0602</td>
<td>763.34</td>
<td>584.77</td>
<td>497.05</td>
<td>321.62</td>
<td>222.21</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.1111</td>
<td>1519.99</td>
<td>1169.13</td>
<td>993.76</td>
<td>643.02</td>
<td>444.27</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.6408</td>
<td>461.38</td>
<td>359.15</td>
<td>251.41</td>
<td>161.62</td>
<td>107.74</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.2816</td>
<td>922.75</td>
<td>718.3</td>
<td>502.81</td>
<td>323.23</td>
<td>215.49</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.5632</td>
<td>1845.5</td>
<td>1436.6</td>
<td>1005.62</td>
<td>646.47</td>
<td>430.98</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.8448</td>
<td>2768.26</td>
<td>2154.9</td>
<td>1508.43</td>
<td>969.7</td>
<td>646.47</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.1264</td>
<td>3691.01</td>
<td>2873.2</td>
<td>2011.24</td>
<td>1292.94</td>
<td>861.96</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.6896</td>
<td>5536.51</td>
<td>4309.8</td>
<td>3016.86</td>
<td>1939.41</td>
<td>1292.94</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.2528</td>
<td>7382.02</td>
<td>5746.4</td>
<td>4022.48</td>
<td>2585.88</td>
<td>1723.92</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>12.816</td>
<td>9227.52</td>
<td>7183</td>
<td>5028.1</td>
<td>3232.35</td>
<td>2154.9</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>20.5056</td>
<td>14764.03</td>
<td>11492.8</td>
<td>8044.96</td>
<td>5171.76</td>
<td>3447.84</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>25.632</td>
<td>18455.04</td>
<td>14366</td>
<td>10056.2</td>
<td>6464.7</td>
<td>4309.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.7298</td>
<td>525.46</td>
<td>423.1</td>
<td>296.17</td>
<td>190.4</td>
<td>126.93</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.4596</td>
<td>1050.91</td>
<td>846.2</td>
<td>592.34</td>
<td>380.79</td>
<td>253.86</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.9192</td>
<td>2101.82</td>
<td>1692.4</td>
<td>1184.68</td>
<td>761.58</td>
<td>507.72</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.3788</td>
<td>3152.74</td>
<td>2538.6</td>
<td>1777.02</td>
<td>1142.37</td>
<td>761.58</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.8384</td>
<td>4203.65</td>
<td>3384.8</td>
<td>2369.36</td>
<td>1523.16</td>
<td>1015.44</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>8.7576</td>
<td>6305.47</td>
<td>5077.2</td>
<td>3554.04</td>
<td>2284.74</td>
<td>1523.16</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.6768</td>
<td>8407.3</td>
<td>6769.6</td>
<td>4738.72</td>
<td>3046.32</td>
<td>2030.88</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>14.596</td>
<td>10509.12</td>
<td>8462</td>
<td>5923.4</td>
<td>3807.9</td>
<td>2538.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>23.3536</td>
<td>16814.59</td>
<td>13539.2</td>
<td>9477.44</td>
<td>6092.64</td>
<td>4061.76</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>29.192</td>
<td>21018.24</td>
<td>16924</td>
<td>11846.8</td>
<td>7615.8</td>
<td>5077.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>0.979</td>
<td>704.88</td>
<td>504.53</td>
<td>353.17</td>
<td>227.04</td>
<td>151.36</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.958</td>
<td>1409.76</td>
<td>1009.06</td>
<td>706.34</td>
<td>454.08</td>
<td>302.72</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.916</td>
<td>2819.52</td>
<td>2018.12</td>
<td>1412.68</td>
<td>908.15</td>
<td>605.44</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.874</td>
<td>4229.28</td>
<td>3027.18</td>
<td>2119.03</td>
<td>1362.23</td>
<td>908.15</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.832</td>
<td>5639.04</td>
<td>4036.24</td>
<td>2825.37</td>
<td>1816.31</td>
<td>1210.87</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>11.748</td>
<td>8458.56</td>
<td>6054.36</td>
<td>4238.05</td>
<td>2724.46</td>
<td>1816.31</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.664</td>
<td>11278.08</td>
<td>8072.48</td>
<td>5650.74</td>
<td>3632.62</td>
<td>2421.74</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>19.58</td>
<td>14097.6</td>
<td>10090.6</td>
<td>7063.42</td>
<td>4540.77</td>
<td>3027.18</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>31.328</td>
<td>22556.16</td>
<td>16144.96</td>
<td>11301.47</td>
<td>7265.23</td>
<td>4843.49</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>39.16</td>
<td>28195.2</td>
<td>20181.2</td>
<td>14126.84</td>
<td>9081.54</td>
<td>6054.36</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>32.76</td>
<td>23587.2</td>
<td>16241.68</td>
<td>13805.43</td>
<td>8932.92</td>
<td>6171.84</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>52</td>
<td>37440</td>
<td>23848.24</td>
<td>20271</td>
<td>13116.53</td>
<td>9062.33</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>0.979</td>
<td>704.88</td>
<td>504.48</td>
<td>353.14</td>
<td>227.02</td>
<td>151.34</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.958</td>
<td>1409.76</td>
<td>1008.96</td>
<td>706.27</td>
<td>454.03</td>
<td>302.69</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.916</td>
<td>2819.52</td>
<td>2017.93</td>
<td>1412.55</td>
<td>908.07</td>
<td>605.38</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.832</td>
<td>5639.04</td>
<td>4035.86</td>
<td>2825.1</td>
<td>1816.14</td>
<td>1210.76</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.664</td>
<td>11278.08</td>
<td>8071.71</td>
<td>5650.2</td>
<td>3632.27</td>
<td>2421.51</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>25.454</td>
<td>18326.88</td>
<td>13116.53</td>
<td>9181.57</td>
<td>5902.44</td>
<td>3934.96</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.588735</td>
<td>423.89</td>
<td>327.96</td>
<td>229.57</td>
<td>147.58</td>
<td>124.62</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.17747</td>
<td>847.78</td>
<td>655.91</td>
<td>459.14</td>
<td>295.16</td>
<td>196.77</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.35494</td>
<td>1695.56</td>
<td>1311.83</td>
<td>918.28</td>
<td>590.32</td>
<td>393.55</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.70988</td>
<td>3391.11</td>
<td>2623.66</td>
<td>1836.56</td>
<td>1180.65</td>
<td>787.1</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.41976</td>
<td>6782.23</td>
<td>5247.31</td>
<td>3673.12</td>
<td>2361.29</td>
<td>1574.19</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>15.30711</td>
<td>11021.12</td>
<td>8526.88</td>
<td>5968.82</td>
<td>3837.1</td>
<td>2558.06</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>30.61422</td>
<td>22042.24</td>
<td>17053.76</td>
<td>11937.64</td>
<td>7674.19</td>
<td>5116.13</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.57</td>
<td>410.4</td>
<td>271</td>
<td>230.35</td>
<td>149.05</td>
<td>102.98</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.13</td>
<td>813.6</td>
<td>541</td>
<td>459.85</td>
<td>297.55</td>
<td>205.58</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.26</td>
<td>1627.2</td>
<td>1082</td>
<td>919.7</td>
<td>595.1</td>
<td>411.16</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.39</td>
<td>2440.8</td>
<td>1623</td>
<td>1379.55</td>
<td>892.65</td>
<td>616.74</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.52</td>
<td>3254.4</td>
<td>2164</td>
<td>1839.4</td>
<td>1190.2</td>
<td>822.32</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.77</td>
<td>4874.4</td>
<td>3246</td>
<td>2759.1</td>
<td>1785.3</td>
<td>1233.48</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.02</td>
<td>6494.4</td>
<td>4327</td>
<td>3677.95</td>
<td>2379.85</td>
<td>1644.26</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>18.04</td>
<td>12988.8</td>
<td>8654</td>
<td>7355.9</td>
<td>4759.7</td>
<td>3288.52</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.76</td>
<td>547.2</td>
<td>366</td>
<td>311.1</td>
<td>201.3</td>
<td>139.08</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.51</td>
<td>1087.2</td>
<td>732</td>
<td>622.2</td>
<td>402.6</td>
<td>278.16</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.01</td>
<td>2167.2</td>
<td>1464</td>
<td>1244.4</td>
<td>805.2</td>
<td>556.32</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.51</td>
<td>3247.2</td>
<td>2196</td>
<td>1866.6</td>
<td>1207.8</td>
<td>834.48</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.01</td>
<td>4327.2</td>
<td>2927</td>
<td>2487.95</td>
<td>1609.85</td>
<td>1112.26</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.01</td>
<td>6487.2</td>
<td>4391</td>
<td>3732.35</td>
<td>2415.05</td>
<td>1668.58</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.02</td>
<td>8654.4</td>
<td>5854</td>
<td>4975.9</td>
<td>3219.7</td>
<td>2224.52</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>24.03</td>
<td>17301.6</td>
<td>11708</td>
<td>9951.8</td>
<td>6439.4</td>
<td>4449.04</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>0.92</td>
<td>662.4</td>
<td>439</td>
<td>373.15</td>
<td>241.45</td>
<td>166.82</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.84</td>
<td>1324.8</td>
<td>878</td>
<td>746.3</td>
<td>482.9</td>
<td>333.64</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.66</td>
<td>2635.2</td>
<td>1755</td>
<td>1491.75</td>
<td>965.25</td>
<td>666.9</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.49</td>
<td>3952.8</td>
<td>2632</td>
<td>2237.2</td>
<td>1447.6</td>
<td>1000.16</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.32</td>
<td>5270.4</td>
<td>3510</td>
<td>2983.5</td>
<td>1930.5</td>
<td>1333.8</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.98</td>
<td>7905.6</td>
<td>5264</td>
<td>4474.4</td>
<td>2895.2</td>
<td>2000.32</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.63</td>
<td>10533.6</td>
<td>7019</td>
<td>5966.15</td>
<td>3860.45</td>
<td>2667.22</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>29.25</td>
<td>21060</td>
<td>14037</td>
<td>11931.45</td>
<td>7720.35</td>
<td>5334.06</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.68</td>
<td>489.6</td>
<td>324</td>
<td>275.4</td>
<td>178.2</td>
<td>123.12</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.36</td>
<td>979.2</td>
<td>648</td>
<td>550.8</td>
<td>356.4</td>
<td>246.24</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.7</td>
<td>1944</td>
<td>1295</td>
<td>1100.75</td>
<td>712.25</td>
<td>492.1</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.06</td>
<td>2923.2</td>
<td>1942</td>
<td>1650.7</td>
<td>1068.1</td>
<td>737.96</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.4</td>
<td>3888</td>
<td>2590</td>
<td>2201.5</td>
<td>1424.5</td>
<td>984.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>8.1</td>
<td>5832</td>
<td>3884</td>
<td>3301.4</td>
<td>2136.2</td>
<td>1475.92</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.79</td>
<td>7768.8</td>
<td>5179</td>
<td>4402.15</td>
<td>2848.45</td>
<td>1968.02</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>0.84</td>
<td>604.8</td>
<td>421</td>
<td>357.85</td>
<td>231.55</td>
<td>159.98</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.68</td>
<td>1209.6</td>
<td>842</td>
<td>715.7</td>
<td>463.1</td>
<td>319.96</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.36</td>
<td>2419.2</td>
<td>1683</td>
<td>1430.55</td>
<td>925.65</td>
<td>639.54</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.04</td>
<td>3628.8</td>
<td>2525</td>
<td>2146.25</td>
<td>1388.75</td>
<td>959.5</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.71</td>
<td>4831.2</td>
<td>3366</td>
<td>2861.1</td>
<td>1851.3</td>
<td>1279.08</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.07</td>
<td>7250.4</td>
<td>5049</td>
<td>4291.65</td>
<td>2776.95</td>
<td>1918.62</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.42</td>
<td>9662.4</td>
<td>6732</td>
<td>5722.2</td>
<td>3702.6</td>
<td>2558.16</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>23.49</td>
<td>16912.8</td>
<td>11782</td>
<td>10014.7</td>
<td>6480.1</td>
<td>4477.16</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.0465</td>
<td>33.48</td>
<td>20.9</td>
<td>22</td>
<td>22</td>
<td>22</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.0837</td>
<td>60.26</td>
<td>38.95</td>
<td>30.75</td>
<td>41</td>
<td>12.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.1209</td>
<td>87.05</td>
<td>63.65</td>
<td>50.25</td>
<td>30.15</td>
<td>20.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.2046</td>
<td>147.31</td>
<td>103.55</td>
<td>81.75</td>
<td>49.05</td>
<td>32.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.279</td>
<td>200.88</td>
<td>143.45</td>
<td>113.25</td>
<td>67.95</td>
<td>45.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.4464</td>
<td>321.41</td>
<td>222.3</td>
<td>175.5</td>
<td>105.3</td>
<td>70.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2418</td>
<td>174.1</td>
<td>126.35</td>
<td>99.75</td>
<td>59.85</td>
<td>39.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.3534</td>
<td>254.45</td>
<td>187.15</td>
<td>147.75</td>
<td>88.65</td>
<td>59.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.3999</td>
<td>287.93</td>
<td>207.1</td>
<td>163.5</td>
<td>98.1</td>
<td>65.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.5487</td>
<td>395.06</td>
<td>286.9</td>
<td>226.5</td>
<td>135.9</td>
<td>90.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.8835</td>
<td>636.12</td>
<td>444.6</td>
<td>351</td>
<td>210.6</td>
<td>140.4</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>0.7905</td>
<td>569.16</td>
<td>414.2</td>
<td>327</td>
<td>196.2</td>
<td>130.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.0881</td>
<td>783.43</td>
<td>573.8</td>
<td>453</td>
<td>271.8</td>
<td>181.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.767</td>
<td>1272.24</td>
<td>889.2</td>
<td>702</td>
<td>421.2</td>
<td>280.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>1.5717</td>
<td>1131.62</td>
<td>827.45</td>
<td>653.25</td>
<td>391.95</td>
<td>261.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.1669</td>
<td>1560.17</td>
<td>1147.6</td>
<td>906</td>
<td>543.6</td>
<td>362.4</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.55</td>
<td>396</td>
<td>257</td>
<td>218.45</td>
<td>141.35</td>
<td>97.66</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.08</td>
<td>777.6</td>
<td>514</td>
<td>436.9</td>
<td>282.7</td>
<td>195.32</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.15</td>
<td>1548</td>
<td>1028</td>
<td>873.8</td>
<td>565.4</td>
<td>390.64</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.22</td>
<td>2318.4</td>
<td>1542</td>
<td>1310.7</td>
<td>848.1</td>
<td>585.96</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.29</td>
<td>3088.8</td>
<td>2056</td>
<td>1747.6</td>
<td>1130.8</td>
<td>781.28</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>6.43</td>
<td>4629.6</td>
<td>3083</td>
<td>2620.55</td>
<td>1695.65</td>
<td>1171.54</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>8.57</td>
<td>6170.4</td>
<td>4111</td>
<td>3494.35</td>
<td>2261.05</td>
<td>1562.18</td>
</tr>
<tr>
<td>密集计算型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>17.14</td>
<td>12340.8</td>
<td>8221</td>
<td>6987.85</td>
<td>4521.55</td>
<td>3123.98</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.897731</td>
<td>646.37</td>
<td>460.5</td>
<td>322.35</td>
<td>207.23</td>
<td>138.15</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.795464</td>
<td>1292.73</td>
<td>921.01</td>
<td>644.7</td>
<td>414.45</td>
<td>276.3</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.40959</td>
<td>2454.9</td>
<td>1842.01</td>
<td>1289.41</td>
<td>828.9</td>
<td>552.6</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.81918</td>
<td>4909.81</td>
<td>3684.02</td>
<td>2578.81</td>
<td>1657.81</td>
<td>1105.21</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.63836</td>
<td>9819.62</td>
<td>7368.04</td>
<td>5157.63</td>
<td>3315.62</td>
<td>2210.41</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>27.27672</td>
<td>19639.24</td>
<td>14736.08</td>
<td>10315.26</td>
<td>6631.24</td>
<td>4420.82</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>30.68631</td>
<td>22094.14</td>
<td>16578.09</td>
<td>11604.66</td>
<td>7460.14</td>
<td>4973.43</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.1093</td>
<td>1518.7</td>
<td>1164</td>
<td>814.8</td>
<td>523.8</td>
<td>349.2</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.2186</td>
<td>3037.39</td>
<td>2327</td>
<td>1628.9</td>
<td>1047.15</td>
<td>698.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.4283</td>
<td>6068.38</td>
<td>4653</td>
<td>3257.1</td>
<td>2093.85</td>
<td>1395.9</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.8566</td>
<td>12136.75</td>
<td>9306</td>
<td>6514.2</td>
<td>4187.7</td>
<td>2791.8</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>33.7132</td>
<td>24273.5</td>
<td>18612</td>
<td>13028.4</td>
<td>8375.4</td>
<td>5583.6</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.4885</td>
<td>1791.72</td>
<td>1222.21</td>
<td>1038.88</td>
<td>672.22</td>
<td>464.44</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.978</td>
<td>3584.16</td>
<td>2444.42</td>
<td>2077.76</td>
<td>1344.43</td>
<td>928.88</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>9.955</td>
<td>7167.6</td>
<td>4888.84</td>
<td>4155.51</td>
<td>2688.86</td>
<td>1857.76</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>19.909</td>
<td>14334.48</td>
<td>9777.68</td>
<td>8311.03</td>
<td>5377.72</td>
<td>3715.52</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>512</td>
<td>39.817</td>
<td>28668.24</td>
<td>19555.36</td>
<td>16622.06</td>
<td>10755.45</td>
<td>7431.04</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.20xlarge</td>
<td>80</td>
<td>704</td>
<td>49.771</td>
<td>35835.12</td>
<td>24444.2</td>
<td>20777.57</td>
<td>13444.31</td>
<td>9288.8</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.418</td>
<td>3900.96</td>
<td>2468.92</td>
<td>1949.15</td>
<td>1169.49</td>
<td>779.66</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.829</td>
<td>7796.88</td>
<td>4937.9</td>
<td>3898.34</td>
<td>2339.01</td>
<td>1559.34</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>16.247</td>
<td>11697.84</td>
<td>7406.75</td>
<td>5847.44</td>
<td>3508.46</td>
<td>2338.97</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.83</td>
<td>14997.6</td>
<td>9483.85</td>
<td>7487.25</td>
<td>4492.35</td>
<td>2994.9</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>31.61</td>
<td>22759.2</td>
<td>14383</td>
<td>11355</td>
<td>6813</td>
<td>4542</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2246</td>
<td>161.71</td>
<td>103.96</td>
<td>88.36</td>
<td>57.18</td>
<td>39.5</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.4992</td>
<td>359.42</td>
<td>230.95</td>
<td>196.31</td>
<td>127.02</td>
<td>87.76</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.1123</td>
<td>80.86</td>
<td>51.98</td>
<td>44.18</td>
<td>28.59</td>
<td>19.75</td>
</tr>
<tr>
<td>经济型 ecs.e-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.0312</td>
<td>22.46</td>
<td>14.42</td>
<td>12.26</td>
<td>7.93</td>
<td>5.48</td>
</tr>
<tr>
<td>经济型 ecs.e-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.0624</td>
<td>44.93</td>
<td>28.85</td>
<td>24.52</td>
<td>15.87</td>
<td>10.96</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9984</td>
<td>718.85</td>
<td>462.37</td>
<td>393.02</td>
<td>254.3</td>
<td>175.7</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.6689</td>
<td>481.61</td>
<td>309.79</td>
<td>263.32</td>
<td>170.38</td>
<td>117.72</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.9968</td>
<td>1437.7</td>
<td>924.28</td>
<td>785.64</td>
<td>508.35</td>
<td>351.23</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.3378</td>
<td>963.22</td>
<td>619.27</td>
<td>526.38</td>
<td>340.6</td>
<td>235.32</td>
</tr>
</tbody>
</table>
<h2>三、阿里云服务器便宜购买技巧（比活动价格更便宜）</h2>
了解完阿里云服务器欧洲地域收费标准之后，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82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。
<h3>第一步：领取新用户满减优惠券或代金券</h3>
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>



https://upload-images.jianshu.io/upload_images/19316870-bc2616e80eea80f1.png

<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。
<h3>第二步：参与专属活动获取优惠</h3>
除了领取优惠券和代金券外，用户还可以通过参与阿里云的专属活动来获取国外云服务器的优惠。以下是两个值得关注的活动：
活动一：云服务器新人特惠活动
该活动专为新用户设计，提供了购买国外地域云服务器的特惠价格。用户可以在活动页面选择多个国外地域的云服务器，并享受优惠价格。此外，活动还提供了多种实例类型和配置供用户选择，满足不同场景下的需求。通过参与该活动，新用户可以在初次购买时即享受到较大的优惠。
活动二： 全球云服务器精选特惠
该活动不仅提供了国外地域的轻量应用服务器的优惠价格，还不定期上架一些国外地域的云服务器ECS产品。用户可以在活动页面查看最新的优惠信息和产品列表，并选择适合自己的云服务器进行购买。通过参与该活动，用户可以及时获取到最新的优惠信息，并在购买时享受到相应的折扣。活动地址：https://www.aliyun.com/daily-act/ecs/activity_global



https://upload-images.jianshu.io/upload_images/19316870-17951fd9ad1fd5fd.png




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：



https://upload-images.jianshu.io/upload_images/19316870-875cd4c8e9a04623.png

<div class="image-caption">1875.79图.png

<h3>第三步：下单购买并使用满减优惠券</h3>
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：



https://upload-images.jianshu.io/upload_images/19316870-f5b615f8a1b6ae21.png

<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：




https://upload-images.jianshu.io/upload_images/19316870-3aac5ead51ec0ef6.png



通过以上详细的购买指南和优惠技巧，相信您已经对如何选购阿里云欧洲地域的云服务器有了全面的了解。结合地域选择、实例规格、操作系统、云盘配置、购买时长及带宽规划等多方面的考量，您能够更精准地找到满足需求的云服务器配置。同时，利用新用户满减优惠券和参与专属活动，您将能以更优惠的价格购得心仪的云服务器。

查看完整版本: 阿里云服务器欧洲地域多少钱？欧洲地域云服务器收费标准及便宜购买教程