阿里云国外云服务器可选地域、收费标准及活动报价参考（2023最新更新）
阿里云国外云服务器具有国外地域访问速度快、使用方便、免备案等优势，非常受国内外贸企业和想免备案用户的喜爱，阿里云在亚太、欧洲与美洲、中东与印度等国外地域建设了数十个国外机房，可以满足不同用户对国外地域的不同需求，针对新用户还有优惠，下面是阿里云国外云服务器最新可选地域、原价及活动报价参考。<h2>阿里云国外云服务器最新可选地域</h2>
1、亚太地域
阿里云国外云服务器亚太地区可选地域有中国(香港)、日本(东京)、韩国(首尔)、新加坡、澳大利亚（悉尼)、马来西亚(吉隆坡)、菲律宾(马尼拉)、印度尼西亚(雅加达)、印度（孟买)、泰国(曼谷)。
2、欧洲与美洲
阿里云国外云服务器欧洲与美洲地区可选地域有美国(弗吉尼亚)、美国(硅谷)、英国(伦敦)、德国(法兰克福)。
3、中东与印度
阿里云国外云服务器中东与印度地区可选地域有阿联酋(迪拜)，取消了印度(孟买)地域。
<h2>阿里云国外云服务器收费标准（原价）</h2>
阿里云不同地域的云服务器价格会有所不同，由于涉及到操作系统版权问题，国外地域的阿里云服务器选择windows系统和Linux系统的收费标准也不一样，详细的价格可在阿里云服务器ECS产品页面内的价格计算器查询，这里我们以用户购买最多的美国(硅谷)地域、Windows系统为例，为大家展示阿里云国外云服务器价格：
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.65</td>
<td>300.85</td>
<td>300.85</td>
<td>255.72</td>
<td>165.47</td>
<td>114.32</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.3</td>
<td>601.7</td>
<td>601.7</td>
<td>511.44</td>
<td>330.94</td>
<td>228.65</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.6</td>
<td>1203.4</td>
<td>1203.4</td>
<td>1022.89</td>
<td>661.87</td>
<td>457.29</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.9</td>
<td>1805.1</td>
<td>1805.1</td>
<td>1534.34</td>
<td>992.81</td>
<td>685.94</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.2</td>
<td>2406.8</td>
<td>2406.8</td>
<td>2045.78</td>
<td>1323.74</td>
<td>914.58</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.8</td>
<td>3610.2</td>
<td>3610.2</td>
<td>3068.67</td>
<td>1985.61</td>
<td>1371.88</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.4</td>
<td>4813.6</td>
<td>4813.6</td>
<td>4091.56</td>
<td>2647.48</td>
<td>1829.17</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>16.9</td>
<td>7822.1</td>
<td>7822.1</td>
<td>6648.78</td>
<td>4302.15</td>
<td>2972.4</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>33.8</td>
<td>15644.2</td>
<td>15644.2</td>
<td>13297.57</td>
<td>8604.31</td>
<td>5944.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>8.025</td>
<td>3852.04</td>
<td>3852.04</td>
<td>3274.23</td>
<td>2118.62</td>
<td>1463.78</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>9.36</td>
<td>4492.89</td>
<td>4492.89</td>
<td>3818.96</td>
<td>2471.09</td>
<td>1707.3</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>12.045</td>
<td>5781.54</td>
<td>5781.54</td>
<td>4914.31</td>
<td>3179.85</td>
<td>2196.99</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>15.296</td>
<td>7341.86</td>
<td>7341.86</td>
<td>6240.58</td>
<td>4038.02</td>
<td>2789.91</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>30.606</td>
<td>14690.69</td>
<td>14690.69</td>
<td>12487.09</td>
<td>8079.88</td>
<td>5582.46</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>61.226</td>
<td>29388.35</td>
<td>29388.35</td>
<td>24980.1</td>
<td>16163.59</td>
<td>11167.57</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>33.8</td>
<td>15644.2</td>
<td>15644.2</td>
<td>13297.57</td>
<td>8604.31</td>
<td>5944.8</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.715</td>
<td>330.94</td>
<td>330.94</td>
<td>281.3</td>
<td>182.01</td>
<td>125.76</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.43</td>
<td>661.87</td>
<td>661.87</td>
<td>562.59</td>
<td>364.03</td>
<td>251.51</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.86</td>
<td>1323.74</td>
<td>1323.74</td>
<td>1125.18</td>
<td>728.06</td>
<td>503.02</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.72</td>
<td>2647.48</td>
<td>2647.48</td>
<td>2250.36</td>
<td>1456.11</td>
<td>1006.04</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.44</td>
<td>5294.96</td>
<td>5294.96</td>
<td>4500.72</td>
<td>2912.23</td>
<td>2012.08</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>18.59</td>
<td>8604.31</td>
<td>8604.31</td>
<td>7313.66</td>
<td>4732.37</td>
<td>3269.64</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.53</td>
<td>244.43</td>
<td>244.43</td>
<td>207.77</td>
<td>134.44</td>
<td>92.88</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.06</td>
<td>488.86</td>
<td>488.86</td>
<td>415.53</td>
<td>268.87</td>
<td>185.77</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.12</td>
<td>977.72</td>
<td>977.72</td>
<td>831.06</td>
<td>537.75</td>
<td>371.53</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.18</td>
<td>1466.58</td>
<td>1466.58</td>
<td>1246.59</td>
<td>806.62</td>
<td>557.3</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.24</td>
<td>1955.44</td>
<td>1955.44</td>
<td>1662.12</td>
<td>1075.49</td>
<td>743.07</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.36</td>
<td>2933.16</td>
<td>2933.16</td>
<td>2493.19</td>
<td>1613.24</td>
<td>1114.6</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.48</td>
<td>3910.88</td>
<td>3910.88</td>
<td>3324.25</td>
<td>2150.98</td>
<td>1486.13</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>13.78</td>
<td>6355.18</td>
<td>6355.18</td>
<td>5401.9</td>
<td>3495.35</td>
<td>2414.97</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>27.56</td>
<td>12710.36</td>
<td>12710.36</td>
<td>10803.81</td>
<td>6990.7</td>
<td>4829.94</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.85</td>
<td>389.59</td>
<td>389.59</td>
<td>331.15</td>
<td>214.27</td>
<td>148.04</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.7</td>
<td>779.18</td>
<td>779.18</td>
<td>662.3</td>
<td>428.55</td>
<td>296.09</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.4</td>
<td>1558.36</td>
<td>1558.36</td>
<td>1324.61</td>
<td>857.1</td>
<td>592.18</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.1</td>
<td>2337.54</td>
<td>2337.54</td>
<td>1986.91</td>
<td>1285.65</td>
<td>888.27</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.8</td>
<td>3116.72</td>
<td>3116.72</td>
<td>2649.21</td>
<td>1714.2</td>
<td>1184.35</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.2</td>
<td>4675.08</td>
<td>4675.08</td>
<td>3973.82</td>
<td>2571.29</td>
<td>1776.53</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.6</td>
<td>6233.44</td>
<td>6233.44</td>
<td>5298.42</td>
<td>3428.39</td>
<td>2368.71</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>22.1</td>
<td>10129.34</td>
<td>10129.34</td>
<td>8609.94</td>
<td>5571.14</td>
<td>3849.15</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>44.2</td>
<td>20258.68</td>
<td>20258.68</td>
<td>17219.88</td>
<td>11142.27</td>
<td>7698.3</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.07</td>
<td>28.49</td>
<td>28.49</td>
<td>24.22</td>
<td>15.67</td>
<td>10.83</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.13</td>
<td>56.98</td>
<td>56.98</td>
<td>48.43</td>
<td>31.34</td>
<td>21.65</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.26</td>
<td>114.45</td>
<td>114.45</td>
<td>97.28</td>
<td>62.95</td>
<td>43.49</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.51</td>
<td>228.82</td>
<td>228.82</td>
<td>194.5</td>
<td>125.85</td>
<td>86.95</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1</td>
<td>457.23</td>
<td>457.23</td>
<td>388.65</td>
<td>251.48</td>
<td>173.75</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2</td>
<td>914.39</td>
<td>914.39</td>
<td>777.23</td>
<td>502.91</td>
<td>347.47</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.61</td>
<td>281.07</td>
<td>281.07</td>
<td>238.91</td>
<td>154.59</td>
<td>106.81</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.22</td>
<td>562.14</td>
<td>562.14</td>
<td>477.82</td>
<td>309.18</td>
<td>213.61</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.44</td>
<td>1124.28</td>
<td>1124.28</td>
<td>955.64</td>
<td>618.35</td>
<td>427.23</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.66</td>
<td>1686.42</td>
<td>1686.42</td>
<td>1433.46</td>
<td>927.53</td>
<td>640.84</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.88</td>
<td>2248.56</td>
<td>2248.56</td>
<td>1911.28</td>
<td>1236.71</td>
<td>854.45</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.32</td>
<td>3372.84</td>
<td>3372.84</td>
<td>2866.91</td>
<td>1855.06</td>
<td>1281.68</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>9.76</td>
<td>4497.12</td>
<td>4497.12</td>
<td>3822.55</td>
<td>2473.42</td>
<td>1708.91</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>12.2</td>
<td>5621.4</td>
<td>5621.4</td>
<td>4778.19</td>
<td>3091.77</td>
<td>2136.13</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>19.52</td>
<td>8994.24</td>
<td>8994.24</td>
<td>7645.1</td>
<td>4946.83</td>
<td>3417.81</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>24.4</td>
<td>11242.8</td>
<td>11242.8</td>
<td>9556.38</td>
<td>6183.54</td>
<td>4272.26</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.71</td>
<td>330.94</td>
<td>330.94</td>
<td>281.3</td>
<td>182.02</td>
<td>125.76</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.42</td>
<td>661.88</td>
<td>661.88</td>
<td>562.6</td>
<td>364.03</td>
<td>251.51</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.84</td>
<td>1323.76</td>
<td>1323.76</td>
<td>1125.2</td>
<td>728.07</td>
<td>503.03</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.26</td>
<td>1985.64</td>
<td>1985.64</td>
<td>1687.79</td>
<td>1092.1</td>
<td>754.54</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.68</td>
<td>2647.52</td>
<td>2647.52</td>
<td>2250.39</td>
<td>1456.14</td>
<td>1006.06</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>8.52</td>
<td>3971.28</td>
<td>3971.28</td>
<td>3375.59</td>
<td>2184.2</td>
<td>1509.09</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.36</td>
<td>5295.04</td>
<td>5295.04</td>
<td>4500.78</td>
<td>2912.27</td>
<td>2012.12</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>14.2</td>
<td>6618.8</td>
<td>6618.8</td>
<td>5625.98</td>
<td>3640.34</td>
<td>2515.14</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.72</td>
<td>10590.08</td>
<td>10590.08</td>
<td>9001.57</td>
<td>5824.54</td>
<td>4024.23</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>28.4</td>
<td>13237.6</td>
<td>13237.6</td>
<td>11251.96</td>
<td>7280.68</td>
<td>5030.29</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>0.93</td>
<td>428.53</td>
<td>428.53</td>
<td>364.25</td>
<td>235.69</td>
<td>162.84</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.86</td>
<td>857.06</td>
<td>857.06</td>
<td>728.5</td>
<td>471.38</td>
<td>325.68</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.72</td>
<td>1714.12</td>
<td>1714.12</td>
<td>1457</td>
<td>942.77</td>
<td>651.37</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.58</td>
<td>2571.18</td>
<td>2571.18</td>
<td>2185.5</td>
<td>1414.15</td>
<td>977.05</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.44</td>
<td>3428.24</td>
<td>3428.24</td>
<td>2914</td>
<td>1885.53</td>
<td>1302.73</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>11.16</td>
<td>5142.36</td>
<td>5142.36</td>
<td>4371.01</td>
<td>2828.3</td>
<td>1954.1</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.88</td>
<td>6856.48</td>
<td>6856.48</td>
<td>5828.01</td>
<td>3771.06</td>
<td>2605.46</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>18.6</td>
<td>8570.6</td>
<td>8570.6</td>
<td>7285.01</td>
<td>4713.83</td>
<td>3256.83</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>29.76</td>
<td>13712.96</td>
<td>13712.96</td>
<td>11656.02</td>
<td>7542.13</td>
<td>5210.92</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>37.2</td>
<td>17141.2</td>
<td>17141.2</td>
<td>14570.02</td>
<td>9427.66</td>
<td>6513.66</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>44.2</td>
<td>20258.68</td>
<td>20258.68</td>
<td>17219.88</td>
<td>11142.27</td>
<td>7698.3</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>0.935</td>
<td>428.55</td>
<td>428.55</td>
<td>364.27</td>
<td>235.7</td>
<td>162.85</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.87</td>
<td>857.1</td>
<td>857.1</td>
<td>728.53</td>
<td>471.4</td>
<td>325.7</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.74</td>
<td>1714.2</td>
<td>1714.2</td>
<td>1457.07</td>
<td>942.81</td>
<td>651.39</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.48</td>
<td>3428.39</td>
<td>3428.39</td>
<td>2914.13</td>
<td>1885.62</td>
<td>1302.79</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.96</td>
<td>6856.78</td>
<td>6856.78</td>
<td>5828.27</td>
<td>3771.23</td>
<td>2605.58</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>24.31</td>
<td>11142.27</td>
<td>11142.27</td>
<td>9470.93</td>
<td>6128.25</td>
<td>4234.06</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.5565</td>
<td>256.65</td>
<td>256.65</td>
<td>218.15</td>
<td>141.16</td>
<td>97.53</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.113</td>
<td>513.3</td>
<td>513.3</td>
<td>436.31</td>
<td>282.32</td>
<td>195.06</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.226</td>
<td>1026.61</td>
<td>1026.61</td>
<td>872.61</td>
<td>564.63</td>
<td>390.11</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.452</td>
<td>2053.21</td>
<td>2053.21</td>
<td>1745.23</td>
<td>1129.27</td>
<td>780.22</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.904</td>
<td>4106.42</td>
<td>4106.42</td>
<td>3490.46</td>
<td>2258.53</td>
<td>1560.44</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>14.469</td>
<td>6672.94</td>
<td>6672.94</td>
<td>5672</td>
<td>3670.12</td>
<td>2535.72</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>28.938</td>
<td>13345.88</td>
<td>13345.88</td>
<td>11344</td>
<td>7340.23</td>
<td>5071.43</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>11.88</td>
<td>5704</td>
<td>5418.8</td>
<td>4278</td>
<td>2566.8</td>
<td>1711.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>14.3</td>
<td>6868</td>
<td>6524.6</td>
<td>5151</td>
<td>3090.6</td>
<td>2060.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>23.76</td>
<td>11408</td>
<td>10837.6</td>
<td>8556</td>
<td>5133.6</td>
<td>3422.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>28.61</td>
<td>13737</td>
<td>13050.15</td>
<td>10302.75</td>
<td>6181.65</td>
<td>4121.1</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.7xlarge</td>
<td>28</td>
<td>112</td>
<td>20.59</td>
<td>9883</td>
<td>9388.85</td>
<td>7412.25</td>
<td>4447.35</td>
<td>2964.9</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.8xlarge</td>
<td>32</td>
<td>240</td>
<td>57.23</td>
<td>27474</td>
<td>26100.3</td>
<td>20605.5</td>
<td>12363.3</td>
<td>8242.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.14xlarge</td>
<td>54</td>
<td>480</td>
<td>114.47</td>
<td>54948</td>
<td>52200.6</td>
<td>41211</td>
<td>24726.6</td>
<td>16484.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c28g1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>41.18</td>
<td>19766</td>
<td>18777.7</td>
<td>14824.5</td>
<td>8894.7</td>
<td>5929.8</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.64</td>
<td>324</td>
<td>324</td>
<td>275.4</td>
<td>178.2</td>
<td>123.12</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.29</td>
<td>649</td>
<td>649</td>
<td>551.65</td>
<td>356.95</td>
<td>246.62</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.57</td>
<td>1298</td>
<td>1298</td>
<td>1103.3</td>
<td>713.9</td>
<td>493.24</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.86</td>
<td>1946</td>
<td>1946</td>
<td>1654.1</td>
<td>1070.3</td>
<td>739.48</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.14</td>
<td>2595</td>
<td>2595</td>
<td>2205.75</td>
<td>1427.25</td>
<td>986.1</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>7.71</td>
<td>3893</td>
<td>3893</td>
<td>3309.05</td>
<td>2141.15</td>
<td>1479.34</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>10.28</td>
<td>5190</td>
<td>5190</td>
<td>4411.5</td>
<td>2854.5</td>
<td>1972.2</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>20.56</td>
<td>10381</td>
<td>10381</td>
<td>8823.85</td>
<td>5709.55</td>
<td>3944.78</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.72</td>
<td>394</td>
<td>394</td>
<td>334.9</td>
<td>216.7</td>
<td>149.72</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.43</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.87</td>
<td>1576</td>
<td>1576</td>
<td>1339.6</td>
<td>866.8</td>
<td>598.88</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.3</td>
<td>2364</td>
<td>2364</td>
<td>2009.4</td>
<td>1300.2</td>
<td>898.32</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.74</td>
<td>3152</td>
<td>3152</td>
<td>2679.2</td>
<td>1733.6</td>
<td>1197.76</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>8.6</td>
<td>4728</td>
<td>4728</td>
<td>4018.8</td>
<td>2600.4</td>
<td>1796.64</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.47</td>
<td>6304</td>
<td>6304</td>
<td>5358.4</td>
<td>3467.2</td>
<td>2395.52</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.94</td>
<td>12608</td>
<td>12608</td>
<td>10716.8</td>
<td>6934.4</td>
<td>4791.04</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>0.901</td>
<td>415</td>
<td>415</td>
<td>352.75</td>
<td>228.25</td>
<td>157.7</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.801</td>
<td>830</td>
<td>830</td>
<td>705.5</td>
<td>456.5</td>
<td>315.4</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.601</td>
<td>1660</td>
<td>1660</td>
<td>1411</td>
<td>913</td>
<td>630.8</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>5.401</td>
<td>2490</td>
<td>2490</td>
<td>2116.5</td>
<td>1369.5</td>
<td>946.2</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.201</td>
<td>3320</td>
<td>3320</td>
<td>2822</td>
<td>1826</td>
<td>1261.6</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>10.802</td>
<td>4980</td>
<td>4980</td>
<td>4233</td>
<td>2739</td>
<td>1892.4</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.402</td>
<td>6640</td>
<td>6640</td>
<td>5644</td>
<td>3652</td>
<td>2523.2</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>28.806</td>
<td>13281</td>
<td>13281</td>
<td>11288.85</td>
<td>7304.55</td>
<td>5046.78</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.large</td>
<td>2</td>
<td>4</td>
<td>0.77</td>
<td>389</td>
<td>369.55</td>
<td>291.75</td>
<td>175.05</td>
<td>116.7</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.54</td>
<td>779</td>
<td>740.05</td>
<td>584.25</td>
<td>350.55</td>
<td>233.7</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.08</td>
<td>1557</td>
<td>1479.15</td>
<td>1167.75</td>
<td>700.65</td>
<td>467.1</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.63</td>
<td>2336</td>
<td>2219.2</td>
<td>1752</td>
<td>1051.2</td>
<td>700.8</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.17</td>
<td>3114</td>
<td>2958.3</td>
<td>2335.5</td>
<td>1401.3</td>
<td>934.2</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>9.25</td>
<td>4671</td>
<td>4437.45</td>
<td>3503.25</td>
<td>2101.95</td>
<td>1401.3</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>12.34</td>
<td>6228</td>
<td>5916.6</td>
<td>4671</td>
<td>2802.6</td>
<td>1868.4</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.large</td>
<td>2</td>
<td>8</td>
<td>0.88</td>
<td>438.64</td>
<td>416.71</td>
<td>328.98</td>
<td>197.39</td>
<td>131.59</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.76</td>
<td>877</td>
<td>833.15</td>
<td>657.75</td>
<td>394.65</td>
<td>263.1</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.52</td>
<td>1754</td>
<td>1666.3</td>
<td>1315.5</td>
<td>789.3</td>
<td>526.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.28</td>
<td>2631.53</td>
<td>2499.95</td>
<td>1973.65</td>
<td>1184.19</td>
<td>789.46</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.03</td>
<td>3508.66</td>
<td>3333.23</td>
<td>2631.49</td>
<td>1578.9</td>
<td>1052.6</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.55</td>
<td>5262.99</td>
<td>4999.84</td>
<td>3947.24</td>
<td>2368.35</td>
<td>1578.9</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.07</td>
<td>7017</td>
<td>6666.15</td>
<td>5262.75</td>
<td>3157.65</td>
<td>2105.1</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.14xlarge</td>
<td>56</td>
<td>160</td>
<td>24.62</td>
<td>12280</td>
<td>11666</td>
<td>9210</td>
<td>5526</td>
<td>3684</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc2m1.nano</td>
<td>1</td>
<td>0.5</td>
<td>0.05</td>
<td>23</td>
<td>21.85</td>
<td>17.25</td>
<td>10.35</td>
<td>6.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.08</td>
<td>43</td>
<td>40.85</td>
<td>32.25</td>
<td>19.35</td>
<td>12.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.14</td>
<td>70</td>
<td>66.5</td>
<td>52.5</td>
<td>31.5</td>
<td>21</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.22</td>
<td>115</td>
<td>109.25</td>
<td>86.25</td>
<td>51.75</td>
<td>34.5</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.31</td>
<td>159</td>
<td>151.05</td>
<td>119.25</td>
<td>71.55</td>
<td>47.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.47</td>
<td>246</td>
<td>233.7</td>
<td>184.5</td>
<td>110.7</td>
<td>73.8</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.26</td>
<td>139</td>
<td>132.05</td>
<td>104.25</td>
<td>62.55</td>
<td>41.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-lc1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.39</td>
<td>207</td>
<td>196.65</td>
<td>155.25</td>
<td>93.15</td>
<td>62.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.44</td>
<td>229</td>
<td>217.55</td>
<td>171.75</td>
<td>103.05</td>
<td>68.7</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.61</td>
<td>317</td>
<td>301.15</td>
<td>237.75</td>
<td>142.65</td>
<td>95.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.95</td>
<td>492</td>
<td>467.4</td>
<td>369</td>
<td>221.4</td>
<td>147.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>0.88</td>
<td>457</td>
<td>434.15</td>
<td>342.75</td>
<td>205.65</td>
<td>137.1</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.22</td>
<td>634</td>
<td>602.3</td>
<td>475.5</td>
<td>285.3</td>
<td>190.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.89</td>
<td>984</td>
<td>934.8</td>
<td>738</td>
<td>442.8</td>
<td>295.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>1.76</td>
<td>914</td>
<td>868.3</td>
<td>685.5</td>
<td>411.3</td>
<td>274.2</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.44</td>
<td>1268</td>
<td>1204.6</td>
<td>951</td>
<td>570.6</td>
<td>380.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.62</td>
<td>308</td>
<td>308</td>
<td>261.8</td>
<td>169.4</td>
<td>117.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.23</td>
<td>616</td>
<td>616</td>
<td>523.6</td>
<td>338.8</td>
<td>234.08</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.46</td>
<td>1233</td>
<td>1233</td>
<td>1048.05</td>
<td>678.15</td>
<td>468.54</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.69</td>
<td>1849</td>
<td>1849</td>
<td>1571.65</td>
<td>1016.95</td>
<td>702.62</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.92</td>
<td>2465</td>
<td>2465</td>
<td>2095.25</td>
<td>1355.75</td>
<td>936.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>7.39</td>
<td>3698</td>
<td>3698</td>
<td>3143.3</td>
<td>2033.9</td>
<td>1405.24</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>9.85</td>
<td>4931</td>
<td>4931</td>
<td>4191.35</td>
<td>2712.05</td>
<td>1873.78</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>19.7</td>
<td>9861</td>
<td>9861</td>
<td>8381.85</td>
<td>5423.55</td>
<td>3747.18</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>1.033177</td>
<td>495.93</td>
<td>495.93</td>
<td>421.54</td>
<td>272.76</td>
<td>188.45</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>2.066354</td>
<td>991.85</td>
<td>991.85</td>
<td>843.07</td>
<td>545.52</td>
<td>376.9</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.131</td>
<td>1983.7</td>
<td>1983.7</td>
<td>1686.15</td>
<td>1091.04</td>
<td>753.81</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.262</td>
<td>3967.4</td>
<td>3967.4</td>
<td>3372.29</td>
<td>2182.07</td>
<td>1507.61</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>16.524</td>
<td>7934.8</td>
<td>7934.8</td>
<td>6744.58</td>
<td>4364.14</td>
<td>3015.22</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>33.048</td>
<td>15869.6</td>
<td>15869.6</td>
<td>13489.16</td>
<td>8728.28</td>
<td>6030.45</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>37.179</td>
<td>17853.3</td>
<td>17853.3</td>
<td>15175.31</td>
<td>9819.32</td>
<td>6784.25</td>
</tr>
<tr>
<td>通用型 ecs.n4.small</td>
<td>1</td>
<td>2</td>
<td>0.213</td>
<td>113.15</td>
<td>113.15</td>
<td>96.18</td>
<td>56.58</td>
<td>56.58</td>
</tr>
<tr>
<td>通用型 ecs.n4.large</td>
<td>2</td>
<td>4</td>
<td>0.425</td>
<td>226.31</td>
<td>226.31</td>
<td>192.36</td>
<td>113.16</td>
<td>113.16</td>
</tr>
<tr>
<td>通用型 ecs.n4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.475</td>
<td>734.77</td>
<td>734.77</td>
<td>624.55</td>
<td>367.38</td>
<td>367.38</td>
</tr>
<tr>
<td>通用型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.948</td>
<td>1469.55</td>
<td>1469.55</td>
<td>1249.12</td>
<td>734.78</td>
<td>734.77</td>
</tr>
<tr>
<td>通用型 ecs.n4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>5.896</td>
<td>2939.11</td>
<td>2939.11</td>
<td>2498.24</td>
<td>1469.56</td>
<td>1469.56</td>
</tr>
<tr>
<td>通用型 ecs.n4.8xlarge</td>
<td>32</td>
<td>64</td>
<td>11.783</td>
<td>5882.54</td>
<td>5882.54</td>
<td>5000.16</td>
<td>2941.27</td>
<td>2941.27</td>
</tr>
<tr>
<td>通用型 ecs.mn4.small</td>
<td>1</td>
<td>4</td>
<td>0.404</td>
<td>205.53</td>
<td>205.53</td>
<td>174.7</td>
<td>102.77</td>
<td>102.77</td>
</tr>
<tr>
<td>通用型 ecs.mn4.large</td>
<td>2</td>
<td>8</td>
<td>0.807</td>
<td>411.07</td>
<td>411.07</td>
<td>349.41</td>
<td>205.53</td>
<td>205.53</td>
</tr>
<tr>
<td>通用型 ecs.mn4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.614</td>
<td>821.68</td>
<td>821.68</td>
<td>698.43</td>
<td>410.84</td>
<td>410.84</td>
</tr>
<tr>
<td>通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.228</td>
<td>1643.43</td>
<td>1643.43</td>
<td>1396.92</td>
<td>821.72</td>
<td>821.72</td>
</tr>
<tr>
<td>通用型 ecs.mn4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.455</td>
<td>3286.81</td>
<td>3286.81</td>
<td>2793.79</td>
<td>1643.4</td>
<td>1643.4</td>
</tr>
<tr>
<td>通用型 ecs.mn4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.91</td>
<td>6573.62</td>
<td>6573.62</td>
<td>5587.58</td>
<td>3286.81</td>
<td>3286.81</td>
</tr>
<tr>
<td>通用型 ecs.xn4.small</td>
<td>1</td>
<td>1</td>
<td>0.105</td>
<td>56.42</td>
<td>56.42</td>
<td>47.96</td>
<td>28.21</td>
<td>28.21</td>
</tr>
<tr>
<td>通用型 ecs.e4.small</td>
<td>1</td>
<td>8</td>
<td>0.511</td>
<td>235.08</td>
<td>235.08</td>
<td>199.82</td>
<td>117.54</td>
<td>117.54</td>
</tr>
<tr>
<td>计算型 ecs.cm4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.88</td>
<td>985.99</td>
<td>936.69</td>
<td>739.49</td>
<td>443.7</td>
<td>295.8</td>
</tr>
<tr>
<td>计算型 ecs.cm4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.83</td>
<td>1972.06</td>
<td>1873.46</td>
<td>1479.05</td>
<td>887.43</td>
<td>591.62</td>
</tr>
<tr>
<td>计算型 ecs.cm4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.64</td>
<td>2957.97</td>
<td>2810.07</td>
<td>2218.48</td>
<td>1331.09</td>
<td>887.39</td>
</tr>
<tr>
<td>计算型 ecs.cm4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.73</td>
<td>3944.12</td>
<td>3746.91</td>
<td>2958.09</td>
<td>1774.85</td>
<td>1183.24</td>
</tr>
<tr>
<td>计算型 ecs.cm4.6xlarge</td>
<td>24</td>
<td>96</td>
<td>11.56</td>
<td>5916.19</td>
<td>5620.38</td>
<td>4437.14</td>
<td>2662.29</td>
<td>1774.86</td>
</tr>
<tr>
<td>计算型 ecs.ce4.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.44</td>
<td>1129</td>
<td>1072.55</td>
<td>846.75</td>
<td>508.05</td>
<td>338.7</td>
</tr>
<tr>
<td>计算型 ecs.ce4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.888</td>
<td>2258</td>
<td>2145.1</td>
<td>1693.5</td>
<td>1016.1</td>
<td>677.4</td>
</tr>
<tr>
<td>计算型 ecs.c4.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.67</td>
<td>863.74</td>
<td>820.55</td>
<td>647.8</td>
<td>388.68</td>
<td>259.12</td>
</tr>
<tr>
<td>计算型 ecs.c4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.34</td>
<td>1727.49</td>
<td>1641.12</td>
<td>1295.62</td>
<td>777.37</td>
<td>518.25</td>
</tr>
<tr>
<td>计算型 ecs.c4.3xlarge</td>
<td>12</td>
<td>24</td>
<td>5.013</td>
<td>2591.22</td>
<td>2461.66</td>
<td>1943.41</td>
<td>1166.05</td>
<td>777.37</td>
</tr>
<tr>
<td>计算型 ecs.c4.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.69</td>
<td>3454.99</td>
<td>3282.24</td>
<td>2591.24</td>
<td>1554.75</td>
<td>1036.5</td>
</tr>
<tr>
<td>ecs.sn2ne.large</td>
<td>2</td>
<td>8</td>
<td>0.848</td>
<td>431.62</td>
<td>431.62</td>
<td>366.88</td>
<td>237.39</td>
<td>164.02</td>
</tr>
<tr>
<td>ecs.sn2ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.695</td>
<td>862.76</td>
<td>862.76</td>
<td>733.35</td>
<td>474.52</td>
<td>327.85</td>
</tr>
<tr>
<td>ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.39</td>
<td>1725.6</td>
<td>1725.6</td>
<td>1466.76</td>
<td>949.08</td>
<td>655.73</td>
</tr>
<tr>
<td>ecs.sn2ne.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.088</td>
<td>2589.72</td>
<td>2589.72</td>
<td>2201.26</td>
<td>1424.35</td>
<td>984.09</td>
</tr>
<tr>
<td>ecs.sn2ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.778</td>
<td>3451.15</td>
<td>3451.15</td>
<td>2933.48</td>
<td>1898.13</td>
<td>1311.44</td>
</tr>
<tr>
<td>ecs.sn2ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.176</td>
<td>5179.44</td>
<td>5179.44</td>
<td>4402.52</td>
<td>2848.69</td>
<td>1968.19</td>
</tr>
<tr>
<td>ecs.sn2ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.556</td>
<td>6902.3</td>
<td>6902.3</td>
<td>5866.96</td>
<td>3796.27</td>
<td>2622.87</td>
</tr>
<tr>
<td>ecs.sn2ne.14xlarge</td>
<td>56</td>
<td>224</td>
<td>23.722</td>
<td>12085.59</td>
<td>12085.59</td>
<td>10272.75</td>
<td>6647.07</td>
<td>4592.52</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.98</td>
<td>986</td>
<td>986</td>
<td>838.1</td>
<td>542.3</td>
<td>374.68</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.95</td>
<td>1971</td>
<td>1971</td>
<td>1675.35</td>
<td>1084.05</td>
<td>748.98</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.9</td>
<td>3942</td>
<td>3942</td>
<td>3350.7</td>
<td>2168.1</td>
<td>1497.96</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>15.8</td>
<td>7883</td>
<td>7883</td>
<td>6700.55</td>
<td>4335.65</td>
<td>2995.54</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>31.6</td>
<td>15766</td>
<td>15766</td>
<td>13401.1</td>
<td>8671.3</td>
<td>5991.08</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.large</td>
<td>2</td>
<td>16</td>
<td>1.021</td>
<td>470.17</td>
<td>470.17</td>
<td>399.64</td>
<td>235.08</td>
<td>235.09</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.042</td>
<td>940.89</td>
<td>940.89</td>
<td>799.76</td>
<td>470.44</td>
<td>470.44</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.09</td>
<td>1881.72</td>
<td>1881.72</td>
<td>1599.46</td>
<td>940.86</td>
<td>940.86</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.179</td>
<td>3763.52</td>
<td>3763.52</td>
<td>3198.99</td>
<td>1881.76</td>
<td>1881.76</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.351</td>
<td>7527.04</td>
<td>7527.04</td>
<td>6397.98</td>
<td>3763.52</td>
<td>3763.52</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.14xlarge</td>
<td>56</td>
<td>480</td>
<td>30.109</td>
<td>14079.08</td>
<td>14079.08</td>
<td>11967.22</td>
<td>7039.54</td>
<td>7039.54</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.72</td>
<td>828</td>
<td>786.6</td>
<td>621</td>
<td>372.6</td>
<td>248.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.44</td>
<td>1657</td>
<td>1574.15</td>
<td>1242.75</td>
<td>745.65</td>
<td>497.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>5.17</td>
<td>2485</td>
<td>2360.75</td>
<td>1863.75</td>
<td>1118.25</td>
<td>745.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.9</td>
<td>3315</td>
<td>3149.25</td>
<td>2486.25</td>
<td>1491.75</td>
<td>994.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c5d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>8.47</td>
<td>4067</td>
<td>3863.65</td>
<td>3050.25</td>
<td>1830.15</td>
<td>1220.1</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.32</td>
<td>4968</td>
<td>4719.6</td>
<td>3726</td>
<td>2235.6</td>
<td>1490.4</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>13.8</td>
<td>6629</td>
<td>6297.55</td>
<td>4971.75</td>
<td>2983.05</td>
<td>1988.7</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1-c10d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.74</td>
<td>7080</td>
<td>6726</td>
<td>5310</td>
<td>3186</td>
<td>2124</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>24.03</td>
<td>11538</td>
<td>10961.1</td>
<td>8653.5</td>
<td>5192.1</td>
<td>3461.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.41</td>
<td>2598</td>
<td>2468.1</td>
<td>1948.5</td>
<td>1169.1</td>
<td>779.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1.3xlarge</td>
<td>12</td>
<td>48</td>
<td>8.115</td>
<td>3897</td>
<td>3702.15</td>
<td>2922.75</td>
<td>1753.65</td>
<td>1169.1</td>
</tr>
<tr>
<td>大数据型 ecs.d1.4xlarge</td>
<td>16</td>
<td>64</td>
<td>10.82</td>
<td>5197</td>
<td>4937.15</td>
<td>3897.75</td>
<td>2338.65</td>
<td>1559.1</td>
</tr>
<tr>
<td>大数据型 ecs.d1.6xlarge</td>
<td>24</td>
<td>96</td>
<td>16.23</td>
<td>7795</td>
<td>7405.25</td>
<td>5846.25</td>
<td>3507.75</td>
<td>2338.5</td>
</tr>
<tr>
<td>大数据型 ecs.d1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>21.64</td>
<td>10394</td>
<td>9874.3</td>
<td>7795.5</td>
<td>4677.3</td>
<td>3118.2</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>20.78</td>
<td>9979</td>
<td>9480.05</td>
<td>7484.25</td>
<td>4490.55</td>
<td>2993.7</td>
</tr>
<tr>
<td>大数据型 ecs.d1.14xlarge</td>
<td>56</td>
<td>224</td>
<td>37.89</td>
<td>18190</td>
<td>17280.5</td>
<td>13642.5</td>
<td>8185.5</td>
<td>5457</td>
</tr>
<tr>
<td>大数据型 ecs.d1-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>31.52</td>
<td>15134</td>
<td>14377.3</td>
<td>11350.5</td>
<td>6810.3</td>
<td>4540.2</td>
</tr>
<tr>
<td>ecs.sn1ne.large</td>
<td>2</td>
<td>4</td>
<td>0.772</td>
<td>385.74</td>
<td>385.74</td>
<td>327.88</td>
<td>212.16</td>
<td>146.58</td>
</tr>
<tr>
<td>ecs.sn1ne.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.549</td>
<td>771.5</td>
<td>771.5</td>
<td>655.77</td>
<td>424.33</td>
<td>293.17</td>
</tr>
<tr>
<td>ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.097</td>
<td>1543.02</td>
<td>1543.02</td>
<td>1311.57</td>
<td>848.66</td>
<td>586.35</td>
</tr>
<tr>
<td>ecs.sn1ne.3xlarge</td>
<td>12</td>
<td>24</td>
<td>4.632</td>
<td>2314.44</td>
<td>2314.44</td>
<td>1967.27</td>
<td>1272.94</td>
<td>879.49</td>
</tr>
<tr>
<td>ecs.sn1ne.4xlarge</td>
<td>16</td>
<td>32</td>
<td>6.2</td>
<td>3086.06</td>
<td>3086.06</td>
<td>2623.15</td>
<td>1697.33</td>
<td>1172.7</td>
</tr>
<tr>
<td>ecs.sn1ne.6xlarge</td>
<td>24</td>
<td>48</td>
<td>9.264</td>
<td>4628.88</td>
<td>4628.88</td>
<td>3934.55</td>
<td>2545.88</td>
<td>1758.97</td>
</tr>
<tr>
<td>ecs.sn1ne.8xlarge</td>
<td>32</td>
<td>64</td>
<td>12.392</td>
<td>6176.66</td>
<td>6176.66</td>
<td>5250.16</td>
<td>3397.16</td>
<td>2347.13</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.large</td>
<td>2</td>
<td>16</td>
<td>1.073</td>
<td>493.67</td>
<td>493.67</td>
<td>419.62</td>
<td>271.52</td>
<td>187.59</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.145</td>
<td>987.93</td>
<td>987.93</td>
<td>839.74</td>
<td>543.36</td>
<td>375.41</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.295</td>
<td>1975.8</td>
<td>1975.8</td>
<td>1679.43</td>
<td>1086.69</td>
<td>750.8</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.438</td>
<td>2962.02</td>
<td>2962.02</td>
<td>2517.72</td>
<td>1629.11</td>
<td>1125.57</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.588</td>
<td>3951.69</td>
<td>3951.69</td>
<td>3358.94</td>
<td>2173.43</td>
<td>1501.64</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.876</td>
<td>5924.04</td>
<td>5924.04</td>
<td>5035.43</td>
<td>3258.22</td>
<td>2251.14</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>17.169</td>
<td>7903.39</td>
<td>7903.39</td>
<td>6717.88</td>
<td>4346.86</td>
<td>3003.29</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.14xlarge</td>
<td>56</td>
<td>480</td>
<td>31.615</td>
<td>14783.03</td>
<td>14783.03</td>
<td>12565.58</td>
<td>8130.67</td>
<td>5617.55</td>
</tr>
</tbody>
</table>
<h2>阿里云国外云服务器活动报价</h2>
目前阿里云国外云服务器活动并不多，其中优惠力度最大的是云服务器降价活动（点击进入活动详情页），活动中的云服务器全球购专区有三款不同实例的国外云服务器可选，配置及活动报价如下：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算优化型c7（国外地域）</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3171.04元/1年</td>
<td>3387.04元/1年</td>
<td>3603.04元/1年</td>
<td>3819.04元/1年</td>
<td>4035.04元/1年</td>
</tr>
<tr>
<td>计算优化型c7（国外地域）</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>5907.19元/1年</td>
<td>6123.19元/1年</td>
<td>6339.19元/1年</td>
<td>6555.19元/1年</td>
<td>6771.19元/1年</td>
</tr>
<tr>
<td>计算优化型c7（国外地域）</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>11379.50元/1年</td>
<td>11595.50元/1年</td>
<td>11811.50元/1年</td>
<td>12027.50元/1年</td>
<td>12243.50元/1年</td>
</tr>
<tr>
<td>通用算力型g7（国外地域）</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3905.83元/1年</td>
<td>4121.83元/1年</td>
<td>4337.83元/1年</td>
<td>4553.83元/1年</td>
<td>4769.83元/1年</td>
</tr>
<tr>
<td>通用算力型g7（国外地域）</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>7376.78元/1年</td>
<td>7592.78元/1年</td>
<td>7808.78元/1年</td>
<td>8024.78元/1年</td>
<td>8240.78元/1年</td>
</tr>
<tr>
<td>通用算力型g7（国外地域）</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>14318.68元/1年</td>
<td>14534.68元/1年</td>
<td>14750.68元/1年</td>
<td>14966.68元/1年</td>
<td>15182.68元/1年</td>
</tr>
<tr>
<td>内存优化型r7（国外地域）</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4722.52元/1年</td>
<td>4938.52元/1年</td>
<td>5154.52元/1年</td>
<td>5370.52元/1年</td>
<td>5586.52元/1年</td>
</tr>
<tr>
<td>内存优化型r7（国外地域）</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>9010.16元/1年</td>
<td>9226.16元/1年</td>
<td>9442.16元/1年</td>
<td>9658.16元/1年</td>
<td>9874.16元/1年</td>
</tr>
<tr>
<td>内存优化型r7（国外地域）</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>17585.45元/1年</td>
<td>17801.45元/1年</td>
<td>18017.45元/1年</td>
<td>18233.45元/1年</td>
<td>18449.45元/1年</td>
</tr>
</tbody>
</table>
https://upload-images.jianshu.io/upload_images/19316870-d0ba1b98a275bdf2.png
注：以上国外云服务器可选地域为中国(香港)、日本(东京)、新加坡、印度尼西亚（雅加达)、德国（法兰克福)，折扣统一为6折，带宽为1-5M可选，可选云盘为40G ESSD云盘。另外，在正式购买之前，用户可通过阿里云官网活动中心内的领券中心，查看目前是否有最新的新购优惠券可以领取，如果有的话推荐先领取后购买，价格更便宜。
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