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2023年购买阿里云服务器多少钱一年，目前阿里云c8y 1核2G 云服务器年付最低仅需992.11元，云服务器u1年付低至97.43元/月，这是阿里云2023年的云服务器活动价格。对于新手用户来说，要详细了解阿里云服务器收费标准与购买价格，需要知道阿里云服务器的收费标准，价格计算器的使用及活动报价的查询，这样才能对阿里云服务器的价格情况有一个完成的了解。
<h2>阿里云服务器收费标准</h2>
阿里云服务器的收费标准主要指的是实例价格、块存储价格和带宽价格，同时还有预留实例券、专有宿主机、块存储容量单位包、快照服务价格等，另外，不同地域和不同操作系统的云服务器收费标准也有所差异，实时的收费标准，我们可以进入云服务器ECS产品页：https://www.aliyun.com/product/ecs，然后点击页面内的产品价格，查询到云服务器产品的最新收费标准及其他云产品价格，如下图所示：
<div class="image-caption">云服务器收费标准查询图.png
一、阿里云服务器实例规格收费标准
云服务器实例规格价格，不包含系统盘和带宽，不同地域的云服务器实例规格收费标准可能有所差异，下面以华北6(乌兰察布)地域为例，为大家展示2023年阿里云服务器实例规格的收费标准。
<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.u1-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.315</td>
<td>151.2</td>
<td>151.2</td>
<td>90.72</td>
<td>57.46</td>
<td>57.46</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.24525</td>
<td>117.72</td>
<td>117.72</td>
<td>70.63</td>
<td>44.73</td>
<td>44.73</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.large</td>
<td>2</td>
<td>16</td>
<td>0.41175</td>
<td>197.64</td>
<td>197.64</td>
<td>118.58</td>
<td>75.1</td>
<td>75.1</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.22875</td>
<td>109.8</td>
<td>109.8</td>
<td>65.88</td>
<td>41.72</td>
<td>41.72</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.xlarge</td>
<td>4</td>
<td>4</td>
<td>0.4575</td>
<td>219.6</td>
<td>219.6</td>
<td>131.76</td>
<td>83.45</td>
<td>83.45</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.xlarge</td>
<td>4</td>
<td>32</td>
<td>0.8235</td>
<td>395.28</td>
<td>395.28</td>
<td>237.17</td>
<td>150.21</td>
<td>150.21</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.4905</td>
<td>235.44</td>
<td>235.44</td>
<td>141.26</td>
<td>89.47</td>
<td>89.47</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.63</td>
<td>302.4</td>
<td>302.4</td>
<td>181.44</td>
<td>114.91</td>
<td>114.91</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.26</td>
<td>604.8</td>
<td>604.8</td>
<td>362.88</td>
<td>229.82</td>
<td>229.82</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>0.981</td>
<td>470.88</td>
<td>470.88</td>
<td>282.53</td>
<td>178.93</td>
<td>178.93</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>1.647</td>
<td>790.56</td>
<td>790.56</td>
<td>474.34</td>
<td>300.41</td>
<td>300.41</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>0.915</td>
<td>439.2</td>
<td>439.2</td>
<td>263.52</td>
<td>166.9</td>
<td>166.9</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.3xlarge</td>
<td>12</td>
<td>48</td>
<td>1.89</td>
<td>907.2</td>
<td>907.2</td>
<td>544.32</td>
<td>344.74</td>
<td>344.74</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.3xlarge</td>
<td>12</td>
<td>12</td>
<td>1.3725</td>
<td>658.8</td>
<td>658.8</td>
<td>395.28</td>
<td>250.34</td>
<td>250.34</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.3xlarge</td>
<td>12</td>
<td>24</td>
<td>1.4715</td>
<td>706.32</td>
<td>706.32</td>
<td>423.79</td>
<td>268.4</td>
<td>268.4</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.3xlarge</td>
<td>12</td>
<td>96</td>
<td>2.4705</td>
<td>1185.84</td>
<td>1185.84</td>
<td>711.5</td>
<td>450.62</td>
<td>450.62</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.4xlarge</td>
<td>16</td>
<td>16</td>
<td>1.83</td>
<td>878.4</td>
<td>878.4</td>
<td>527.04</td>
<td>333.79</td>
<td>333.79</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.4xlarge</td>
<td>16</td>
<td>128</td>
<td>3.294</td>
<td>1581.12</td>
<td>1581.12</td>
<td>948.67</td>
<td>600.83</td>
<td>600.83</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.4xlarge</td>
<td>16</td>
<td>64</td>
<td>2.52</td>
<td>1209.6</td>
<td>1209.6</td>
<td>725.76</td>
<td>459.65</td>
<td>459.65</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.4xlarge</td>
<td>16</td>
<td>32</td>
<td>1.962</td>
<td>941.76</td>
<td>941.76</td>
<td>565.06</td>
<td>357.87</td>
<td>357.87</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m4.8xlarge</td>
<td>32</td>
<td>128</td>
<td>6.48</td>
<td>3110.4</td>
<td>3110.4</td>
<td>1866.24</td>
<td>1181.95</td>
<td>1181.95</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.8xlarge</td>
<td>32</td>
<td>256</td>
<td>8.586</td>
<td>4121.28</td>
<td>4121.28</td>
<td>2472.77</td>
<td>1566.09</td>
<td>1566.09</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.0544</td>
<td>2426.11</td>
<td>2426.11</td>
<td>1455.67</td>
<td>921.92</td>
<td>921.92</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.8xlarge</td>
<td>32</td>
<td>32</td>
<td>4.806</td>
<td>2306.88</td>
<td>2306.88</td>
<td>1384.13</td>
<td>876.61</td>
<td>876.61</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.large</td>
<td>2</td>
<td>8</td>
<td>0.522916</td>
<td>251</td>
<td>251</td>
<td>213.35</td>
<td>138.05</td>
<td>95.38</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.045833</td>
<td>502</td>
<td>502</td>
<td>426.7</td>
<td>276.1</td>
<td>190.76</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.091666</td>
<td>1004</td>
<td>1004</td>
<td>853.4</td>
<td>552.2</td>
<td>381.52</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.1375</td>
<td>1506</td>
<td>1506</td>
<td>1280.1</td>
<td>828.3</td>
<td>572.28</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.183333</td>
<td>2008</td>
<td>2008</td>
<td>1706.8</td>
<td>1104.4</td>
<td>763.04</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>6.275</td>
<td>3012</td>
<td>3012</td>
<td>2560.2</td>
<td>1656.6</td>
<td>1144.56</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>8.366666</td>
<td>4016</td>
<td>4016</td>
<td>3413.6</td>
<td>2208.8</td>
<td>1526.08</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.12xlarge</td>
<td>48</td>
<td>192</td>
<td>12.55</td>
<td>6024</td>
<td>6024</td>
<td>5120.4</td>
<td>3313.2</td>
<td>2289.12</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.24xlarge</td>
<td>96</td>
<td>384</td>
<td>25.1</td>
<td>12048</td>
<td>12048</td>
<td>10240.8</td>
<td>6626.4</td>
<td>4578.24</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.large</td>
<td>2</td>
<td>4</td>
<td>0.425</td>
<td>204</td>
<td>204</td>
<td>173.4</td>
<td>112.2</td>
<td>77.52</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.85</td>
<td>408</td>
<td>408</td>
<td>346.8</td>
<td>224.4</td>
<td>155.04</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.7</td>
<td>816</td>
<td>816</td>
<td>693.6</td>
<td>448.8</td>
<td>310.08</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.55</td>
<td>1224</td>
<td>1224</td>
<td>1040.4</td>
<td>673.2</td>
<td>465.12</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.4</td>
<td>1632</td>
<td>1632</td>
<td>1387.2</td>
<td>897.6</td>
<td>620.16</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>5.1</td>
<td>2448</td>
<td>2448</td>
<td>2080.8</td>
<td>1346.4</td>
<td>930.24</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.8</td>
<td>3264</td>
<td>3264</td>
<td>2774.4</td>
<td>1795.2</td>
<td>1240.32</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.12xlarge</td>
<td>48</td>
<td>96</td>
<td>10.2</td>
<td>4896</td>
<td>4896</td>
<td>4161.6</td>
<td>2692.8</td>
<td>1860.48</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.24xlarge</td>
<td>96</td>
<td>192</td>
<td>20.4</td>
<td>9792</td>
<td>9792</td>
<td>8323.2</td>
<td>5385.6</td>
<td>3720.96</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.large</td>
<td>2</td>
<td>16</td>
<td>0.691666</td>
<td>332</td>
<td>332</td>
<td>282.2</td>
<td>182.6</td>
<td>126.16</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.383333</td>
<td>664</td>
<td>664</td>
<td>564.4</td>
<td>365.2</td>
<td>252.32</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.766666</td>
<td>1328</td>
<td>1328</td>
<td>1128.8</td>
<td>730.4</td>
<td>504.64</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>4.15</td>
<td>1992</td>
<td>1992</td>
<td>1693.2</td>
<td>1095.6</td>
<td>756.96</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.533333</td>
<td>2656</td>
<td>2656</td>
<td>2257.6</td>
<td>1460.8</td>
<td>1009.28</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>8.3</td>
<td>3984</td>
<td>3984</td>
<td>3386.4</td>
<td>2191.2</td>
<td>1513.92</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>11.066666</td>
<td>5312</td>
<td>5312</td>
<td>4515.2</td>
<td>2921.6</td>
<td>2018.56</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.12xlarge</td>
<td>48</td>
<td>384</td>
<td>16.6</td>
<td>7968</td>
<td>7968</td>
<td>6772.8</td>
<td>4382.4</td>
<td>3027.84</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.24xlarge</td>
<td>96</td>
<td>768</td>
<td>33.2</td>
<td>15936</td>
<td>15936</td>
<td>13545.6</td>
<td>8764.8</td>
<td>6055.68</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c12g1.3xlarge</td>
<td>12</td>
<td>94</td>
<td>28.425</td>
<td>13644</td>
<td>13644</td>
<td>11597.4</td>
<td>7504.2</td>
<td>5184.72</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c13g1.13xlarge</td>
<td>52</td>
<td>378</td>
<td>113.7</td>
<td>54576</td>
<td>54576</td>
<td>46389.6</td>
<td>30016.8</td>
<td>20738.88</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7-c13g1.26xlarge</td>
<td>104</td>
<td>756</td>
<td>227.4</td>
<td>109152</td>
<td>109152</td>
<td>92779.2</td>
<td>60033.6</td>
<td>41477.76</td>
</tr>
<tr>
<td>通用型 ecs.g7.large</td>
<td>2</td>
<td>8</td>
<td>0.470925</td>
<td>226.04</td>
<td>226.04</td>
<td>153.71</td>
<td>99.46</td>
<td>67.81</td>
</tr>
<tr>
<td>通用型 ecs.g7.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.94185</td>
<td>452.09</td>
<td>452.09</td>
<td>307.42</td>
<td>198.92</td>
<td>135.63</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8837</td>
<td>904.18</td>
<td>904.18</td>
<td>614.84</td>
<td>397.84</td>
<td>271.25</td>
</tr>
<tr>
<td>通用型 ecs.g7.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.82555</td>
<td>1356.26</td>
<td>1356.26</td>
<td>922.26</td>
<td>596.76</td>
<td>406.88</td>
</tr>
<tr>
<td>通用型 ecs.g7.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.7674</td>
<td>1808.35</td>
<td>1808.35</td>
<td>1229.68</td>
<td>795.67</td>
<td>542.51</td>
</tr>
<tr>
<td>通用型 ecs.g7.6xlarge</td>
<td>24</td>
<td>96</td>
<td>5.6511</td>
<td>2712.53</td>
<td>2712.53</td>
<td>1844.52</td>
<td>1193.51</td>
<td>813.76</td>
</tr>
<tr>
<td>通用型 ecs.g7.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.5348</td>
<td>3616.7</td>
<td>3616.7</td>
<td>2459.36</td>
<td>1591.35</td>
<td>1085.01</td>
</tr>
<tr>
<td>通用型 ecs.g7.16xlarge</td>
<td>64</td>
<td>256</td>
<td>15.0696</td>
<td>7233.41</td>
<td>7233.41</td>
<td>4918.72</td>
<td>3182.7</td>
<td>2170.02</td>
</tr>
<tr>
<td>通用型 ecs.g7.32xlarge</td>
<td>128</td>
<td>512</td>
<td>30.1392</td>
<td>14466.82</td>
<td>14466.82</td>
<td>9837.43</td>
<td>6365.4</td>
<td>4340.04</td>
</tr>
<tr>
<td>内存型 ecs.r7.large</td>
<td>2</td>
<td>16</td>
<td>0.626599</td>
<td>300.77</td>
<td>300.77</td>
<td>204.52</td>
<td>132.34</td>
<td>90.23</td>
</tr>
<tr>
<td>内存型 ecs.r7.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.253198</td>
<td>601.54</td>
<td>601.54</td>
<td>409.04</td>
<td>264.68</td>
<td>180.46</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.506396</td>
<td>1203.07</td>
<td>1203.07</td>
<td>818.09</td>
<td>529.35</td>
<td>360.92</td>
</tr>
<tr>
<td>内存型 ecs.r7.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.759594</td>
<td>1804.61</td>
<td>1804.61</td>
<td>1227.13</td>
<td>794.03</td>
<td>541.38</td>
</tr>
<tr>
<td>内存型 ecs.r7.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.012793</td>
<td>2406.14</td>
<td>2406.14</td>
<td>1636.18</td>
<td>1058.7</td>
<td>721.84</td>
</tr>
<tr>
<td>内存型 ecs.r7.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.519189</td>
<td>3609.21</td>
<td>3609.21</td>
<td>2454.26</td>
<td>1588.05</td>
<td>1082.76</td>
</tr>
<tr>
<td>内存型 ecs.r7.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.025586</td>
<td>4812.28</td>
<td>4812.28</td>
<td>3272.35</td>
<td>2117.4</td>
<td>1443.68</td>
</tr>
<tr>
<td>内存型 ecs.r7.16xlarge</td>
<td>64</td>
<td>512</td>
<td>20.051172</td>
<td>9624.56</td>
<td>9624.56</td>
<td>6544.7</td>
<td>4234.81</td>
<td>2887.37</td>
</tr>
<tr>
<td>内存型 ecs.r7.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>40.102344</td>
<td>19249.13</td>
<td>19249.13</td>
<td>13089.4</td>
<td>8469.61</td>
<td>5774.74</td>
</tr>
<tr>
<td>计算型 ecs.c7.large</td>
<td>2</td>
<td>4</td>
<td>0.366929</td>
<td>176.13</td>
<td>176.13</td>
<td>119.77</td>
<td>77.5</td>
<td>52.84</td>
</tr>
<tr>
<td>计算型 ecs.c7.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.733858</td>
<td>352.25</td>
<td>352.25</td>
<td>239.53</td>
<td>154.99</td>
<td>105.68</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.467716</td>
<td>704.5</td>
<td>704.5</td>
<td>479.06</td>
<td>309.98</td>
<td>211.35</td>
</tr>
<tr>
<td>计算型 ecs.c7.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.201574</td>
<td>1056.76</td>
<td>1056.76</td>
<td>718.59</td>
<td>464.97</td>
<td>317.03</td>
</tr>
<tr>
<td>计算型 ecs.c7.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.935432</td>
<td>1409.01</td>
<td>1409.01</td>
<td>958.13</td>
<td>619.96</td>
<td>422.7</td>
</tr>
<tr>
<td>计算型 ecs.c7.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.403148</td>
<td>2113.51</td>
<td>2113.51</td>
<td>1437.19</td>
<td>929.94</td>
<td>634.05</td>
</tr>
<tr>
<td>计算型 ecs.c7.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.870865</td>
<td>2818.02</td>
<td>2818.02</td>
<td>1916.25</td>
<td>1239.93</td>
<td>845.4</td>
</tr>
<tr>
<td>计算型 ecs.c7.16xlarge</td>
<td>64</td>
<td>128</td>
<td>11.74173</td>
<td>5636.03</td>
<td>5636.03</td>
<td>3832.5</td>
<td>2479.85</td>
<td>1690.81</td>
</tr>
<tr>
<td>计算型 ecs.c7.32xlarge</td>
<td>128</td>
<td>256</td>
<td>23.48346</td>
<td>11272.06</td>
<td>11272.06</td>
<td>7665</td>
<td>4959.71</td>
<td>3381.62</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>250.14</td>
<td>120067.2</td>
<td>120067.2</td>
<td>102057.12</td>
<td>66036.96</td>
<td>45625.54</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.large</td>
<td>2</td>
<td>4</td>
<td>0.264</td>
<td>126.72</td>
<td>126.72</td>
<td>107.71</td>
<td>69.7</td>
<td>48.15</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.528</td>
<td>253.44</td>
<td>253.44</td>
<td>215.42</td>
<td>139.39</td>
<td>96.31</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.056</td>
<td>506.88</td>
<td>506.88</td>
<td>430.85</td>
<td>278.78</td>
<td>192.61</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.112</td>
<td>1013.76</td>
<td>1013.76</td>
<td>861.7</td>
<td>557.57</td>
<td>385.23</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.224</td>
<td>2027.52</td>
<td>2027.52</td>
<td>1723.39</td>
<td>1115.14</td>
<td>770.46</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>8.448</td>
<td>4055.04</td>
<td>4055.04</td>
<td>3446.78</td>
<td>2230.27</td>
<td>1540.92</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>16.896</td>
<td>8110.08</td>
<td>8110.08</td>
<td>6893.57</td>
<td>4460.54</td>
<td>3081.83</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.large</td>
<td>2</td>
<td>8</td>
<td>0.396</td>
<td>190.08</td>
<td>190.08</td>
<td>161.57</td>
<td>104.54</td>
<td>72.23</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.792</td>
<td>380.16</td>
<td>380.16</td>
<td>323.14</td>
<td>209.09</td>
<td>144.46</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.584</td>
<td>760.32</td>
<td>760.32</td>
<td>646.27</td>
<td>418.18</td>
<td>288.92</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.168</td>
<td>1520.64</td>
<td>1520.64</td>
<td>1292.54</td>
<td>836.35</td>
<td>577.84</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>6.336</td>
<td>3041.28</td>
<td>3041.28</td>
<td>2585.09</td>
<td>1672.7</td>
<td>1155.69</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>12.672</td>
<td>6082.56</td>
<td>6082.56</td>
<td>5170.18</td>
<td>3345.41</td>
<td>2311.37</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>25.344</td>
<td>12165.12</td>
<td>12165.12</td>
<td>10340.35</td>
<td>6690.82</td>
<td>4622.75</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.large</td>
<td>2</td>
<td>16</td>
<td>0.537</td>
<td>257.58</td>
<td>257.58</td>
<td>218.94</td>
<td>141.67</td>
<td>97.88</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.073</td>
<td>515.16</td>
<td>515.16</td>
<td>437.89</td>
<td>283.34</td>
<td>195.76</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.146</td>
<td>1030.32</td>
<td>1030.32</td>
<td>875.77</td>
<td>566.68</td>
<td>391.52</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.293</td>
<td>2060.64</td>
<td>2060.64</td>
<td>1751.54</td>
<td>1133.35</td>
<td>783.04</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>17.172</td>
<td>8242.56</td>
<td>8242.56</td>
<td>7006.18</td>
<td>4533.41</td>
<td>3132.17</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.32xlarge</td>
<td>128</td>
<td>1024</td>
<td>34.344</td>
<td>16485.12</td>
<td>16485.12</td>
<td>14012.35</td>
<td>9066.82</td>
<td>6264.35</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>8.5794</td>
<td>4118.09</td>
<td>4118.09</td>
<td>3500.38</td>
<td>2264.95</td>
<td>1564.88</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c16g1.4xlarge</td>
<td>16</td>
<td>60</td>
<td>9.084</td>
<td>4360.33</td>
<td>4360.33</td>
<td>3706.28</td>
<td>2398.18</td>
<td>1656.92</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.8xlarge</td>
<td>32</td>
<td>188</td>
<td>11.9775</td>
<td>5749.18</td>
<td>5749.18</td>
<td>4886.8</td>
<td>3162.05</td>
<td>2184.69</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c48g1.12xlarge</td>
<td>48</td>
<td>310</td>
<td>16.149</td>
<td>7751.7</td>
<td>7751.7</td>
<td>6588.94</td>
<td>4263.44</td>
<td>2945.65</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c56g1.14xlarge</td>
<td>56</td>
<td>346</td>
<td>19.379</td>
<td>9302.04</td>
<td>9302.04</td>
<td>7906.73</td>
<td>5116.12</td>
<td>3534.78</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.16xlarge</td>
<td>64</td>
<td>376</td>
<td>23.9549</td>
<td>11498.36</td>
<td>11498.36</td>
<td>9773.6</td>
<td>6324.1</td>
<td>4369.37</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c32g1.32xlarge</td>
<td>128</td>
<td>752</td>
<td>47.9098</td>
<td>22996.71</td>
<td>22996.71</td>
<td>19547.2</td>
<td>12648.19</td>
<td>8738.75</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.large</td>
<td>2</td>
<td>8</td>
<td>0.595125</td>
<td>285.66</td>
<td>285.66</td>
<td>242.81</td>
<td>157.11</td>
<td>108.55</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.19025</td>
<td>571.32</td>
<td>571.32</td>
<td>485.62</td>
<td>314.23</td>
<td>217.1</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.3805</td>
<td>1142.64</td>
<td>1142.64</td>
<td>971.24</td>
<td>628.45</td>
<td>434.2</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.3xlarge</td>
<td>12</td>
<td>48</td>
<td>3.57075</td>
<td>1713.96</td>
<td>1713.96</td>
<td>1456.87</td>
<td>942.68</td>
<td>651.3</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.4xlarge</td>
<td>16</td>
<td>64</td>
<td>4.761</td>
<td>2285.28</td>
<td>2285.28</td>
<td>1942.49</td>
<td>1256.9</td>
<td>868.41</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.6xlarge</td>
<td>24</td>
<td>96</td>
<td>7.1415</td>
<td>3427.92</td>
<td>3427.92</td>
<td>2913.73</td>
<td>1885.36</td>
<td>1302.61</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.8xlarge</td>
<td>32</td>
<td>128</td>
<td>9.522</td>
<td>4570.56</td>
<td>4570.56</td>
<td>3884.98</td>
<td>2513.81</td>
<td>1736.81</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.16xlarge</td>
<td>64</td>
<td>256</td>
<td>19.044</td>
<td>9141.12</td>
<td>9141.12</td>
<td>7769.95</td>
<td>5027.62</td>
<td>3473.63</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.4xlarge</td>
<td>16</td>
<td>125</td>
<td>31.267</td>
<td>15008.4</td>
<td>15008.4</td>
<td>12757.14</td>
<td>8254.62</td>
<td>5703.19</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.16xlarge</td>
<td>64</td>
<td>500</td>
<td>125.07</td>
<td>60033.6</td>
<td>60033.6</td>
<td>51028.56</td>
<td>33018.48</td>
<td>22812.77</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7e-c16g1.32xlarge</td>
<td>128</td>
<td>1000</td>
<td>250.14</td>
<td>120067.2</td>
<td>120067.2</td>
<td>102057.12</td>
<td>66036.96</td>
<td>45625.54</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>26.46</td>
<td>7620</td>
<td>4572</td>
<td>3429</td>
<td>2209.8</td>
<td>2209.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.8xlarge</td>
<td>32</td>
<td>128</td>
<td>57.15</td>
<td>27432</td>
<td>16459.2</td>
<td>12344.4</td>
<td>7955.28</td>
<td>7955.28</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c8g1.16xlarge</td>
<td>64</td>
<td>256</td>
<td>211.68</td>
<td>60960</td>
<td>36576</td>
<td>27432</td>
<td>17678.4</td>
<td>17678.4</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6v-c10g1.20xlarge</td>
<td>82</td>
<td>336</td>
<td>118.603125</td>
<td>56929.5</td>
<td>34157.7</td>
<td>25618.27</td>
<td>16509.56</td>
<td>16509.56</td>
</tr>
<tr>
<td>通用型 ecs.g6.large</td>
<td>2</td>
<td>8</td>
<td>0.45</td>
<td>216</td>
<td>216</td>
<td>183.6</td>
<td>118.8</td>
<td>82.08</td>
</tr>
<tr>
<td>通用型 ecs.g6.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>367.2</td>
<td>237.6</td>
<td>164.16</td>
</tr>
<tr>
<td>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8</td>
<td>864</td>
<td>864</td>
<td>734.4</td>
<td>475.2</td>
<td>328.32</td>
</tr>
<tr>
<td>通用型 ecs.g6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.7</td>
<td>1296</td>
<td>1296</td>
<td>1101.6</td>
<td>712.8</td>
<td>492.48</td>
</tr>
<tr>
<td>通用型 ecs.g6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.6</td>
<td>1728</td>
<td>1728</td>
<td>1468.8</td>
<td>950.4</td>
<td>656.64</td>
</tr>
<tr>
<td>通用型 ecs.g6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>5.4</td>
<td>2592</td>
<td>2592</td>
<td>2203.2</td>
<td>1425.6</td>
<td>984.96</td>
</tr>
<tr>
<td>通用型 ecs.g6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.2</td>
<td>3456</td>
<td>3456</td>
<td>2937.6</td>
<td>1900.8</td>
<td>1313.28</td>
</tr>
<tr>
<td>通用型 ecs.g6.13xlarge</td>
<td>52</td>
<td>192</td>
<td>11.7</td>
<td>5616</td>
<td>5616</td>
<td>4773.6</td>
<td>3088.8</td>
<td>2134.08</td>
</tr>
<tr>
<td>通用型 ecs.g6.26xlarge</td>
<td>104</td>
<td>384</td>
<td>23.4</td>
<td>11232</td>
<td>11232</td>
<td>9547.2</td>
<td>6177.6</td>
<td>4268.16</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c4g1.xlarge</td>
<td>4</td>
<td>15</td>
<td>10.46</td>
<td>3013</td>
<td>3013</td>
<td>1506.5</td>
<td>964.16</td>
<td>964.16</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>12.6</td>
<td>3629</td>
<td>3629</td>
<td>1814.5</td>
<td>1161.28</td>
<td>1161.28</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c16g1.4xlarge</td>
<td>16</td>
<td>62</td>
<td>14.77</td>
<td>4253</td>
<td>4253</td>
<td>2126.5</td>
<td>1360.96</td>
<td>1360.96</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.6xlarge</td>
<td>24</td>
<td>93</td>
<td>15.47</td>
<td>4455</td>
<td>4455</td>
<td>2227.5</td>
<td>1425.6</td>
<td>1425.6</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c40g1.10xlarge</td>
<td>40</td>
<td>155</td>
<td>13.337</td>
<td>6401.61</td>
<td>6401.61</td>
<td>3200.81</td>
<td>2048.52</td>
<td>2048.52</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.12xlarge</td>
<td>48</td>
<td>186</td>
<td>30.94</td>
<td>8910</td>
<td>8910</td>
<td>4455</td>
<td>2851.2</td>
<td>2851.2</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c24g1.24xlarge</td>
<td>96</td>
<td>372</td>
<td>61.88</td>
<td>17820</td>
<td>17820</td>
<td>8910</td>
<td>5702.4</td>
<td>5702.4</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>23.4</td>
<td>11232</td>
<td>11232</td>
<td>9547.2</td>
<td>6177.6</td>
<td>4268.16</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.large</td>
<td>2</td>
<td>8</td>
<td>0.495</td>
<td>237.6</td>
<td>237.6</td>
<td>201.96</td>
<td>130.68</td>
<td>90.29</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.99</td>
<td>475.2</td>
<td>475.2</td>
<td>403.92</td>
<td>261.36</td>
<td>180.58</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.98</td>
<td>950.4</td>
<td>950.4</td>
<td>807.84</td>
<td>522.72</td>
<td>361.15</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.96</td>
<td>1900.8</td>
<td>1900.8</td>
<td>1615.68</td>
<td>1045.44</td>
<td>722.3</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.92</td>
<td>3801.6</td>
<td>3801.6</td>
<td>3231.36</td>
<td>2090.88</td>
<td>1444.61</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.13xlarge</td>
<td>52</td>
<td>192</td>
<td>12.87</td>
<td>6177.6</td>
<td>6177.6</td>
<td>5250.96</td>
<td>3397.68</td>
<td>2347.49</td>
</tr>
<tr>
<td>计算型 ecs.c6.large</td>
<td>2</td>
<td>4</td>
<td>0.351</td>
<td>168.3</td>
<td>168.3</td>
<td>143.06</td>
<td>92.56</td>
<td>63.95</td>
</tr>
<tr>
<td>计算型 ecs.c6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.702</td>
<td>336.6</td>
<td>336.6</td>
<td>286.11</td>
<td>185.13</td>
<td>127.91</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.404</td>
<td>673.2</td>
<td>673.2</td>
<td>572.22</td>
<td>370.26</td>
<td>255.82</td>
</tr>
<tr>
<td>计算型 ecs.c6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.106</td>
<td>1009.8</td>
<td>1009.8</td>
<td>858.33</td>
<td>555.39</td>
<td>383.72</td>
</tr>
<tr>
<td>计算型 ecs.c6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.808</td>
<td>1346.4</td>
<td>1346.4</td>
<td>1144.44</td>
<td>740.52</td>
<td>511.63</td>
</tr>
<tr>
<td>计算型 ecs.c6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.212</td>
<td>2019.6</td>
<td>2019.6</td>
<td>1716.66</td>
<td>1110.78</td>
<td>767.45</td>
</tr>
<tr>
<td>计算型 ecs.c6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.607</td>
<td>2692.8</td>
<td>2692.8</td>
<td>2288.88</td>
<td>1481.04</td>
<td>1023.26</td>
</tr>
<tr>
<td>计算型 ecs.c6.13xlarge</td>
<td>52</td>
<td>96</td>
<td>9.117</td>
<td>4375.8</td>
<td>4375.8</td>
<td>3719.43</td>
<td>2406.69</td>
<td>1662.8</td>
</tr>
<tr>
<td>计算型 ecs.c6.26xlarge</td>
<td>104</td>
<td>192</td>
<td>18.234</td>
<td>8751.6</td>
<td>8751.6</td>
<td>7438.86</td>
<td>4813.38</td>
<td>3325.61</td>
</tr>
<tr>
<td>内存型 ecs.r6.large</td>
<td>2</td>
<td>16</td>
<td>0.594</td>
<td>286.2</td>
<td>286.2</td>
<td>243.27</td>
<td>157.41</td>
<td>108.76</td>
</tr>
<tr>
<td>内存型 ecs.r6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.197</td>
<td>572.4</td>
<td>572.4</td>
<td>486.54</td>
<td>314.82</td>
<td>217.51</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>973.08</td>
<td>629.64</td>
<td>435.02</td>
</tr>
<tr>
<td>内存型 ecs.r6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.582</td>
<td>1717.2</td>
<td>1717.2</td>
<td>1459.62</td>
<td>944.46</td>
<td>652.54</td>
</tr>
<tr>
<td>内存型 ecs.r6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.77</td>
<td>2289.6</td>
<td>2289.6</td>
<td>1946.16</td>
<td>1259.28</td>
<td>870.05</td>
</tr>
<tr>
<td>内存型 ecs.r6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.155</td>
<td>3434.4</td>
<td>3434.4</td>
<td>2919.24</td>
<td>1888.92</td>
<td>1305.07</td>
</tr>
<tr>
<td>内存型 ecs.r6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.54</td>
<td>4579.2</td>
<td>4579.2</td>
<td>3892.32</td>
<td>2518.56</td>
<td>1740.1</td>
</tr>
<tr>
<td>内存型 ecs.r6.13xlarge</td>
<td>52</td>
<td>384</td>
<td>15.507</td>
<td>7441.2</td>
<td>7441.2</td>
<td>6325.02</td>
<td>4092.66</td>
<td>2827.66</td>
</tr>
<tr>
<td>内存型 ecs.r6.26xlarge</td>
<td>104</td>
<td>768</td>
<td>31.005</td>
<td>14882.4</td>
<td>14882.4</td>
<td>12650.04</td>
<td>8185.32</td>
<td>5655.31</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c4m1.large</td>
<td>2</td>
<td>0.5</td>
<td>0.027</td>
<td>7.65</td>
<td>7.65</td>
<td>6.5</td>
<td>4.21</td>
<td>2.91</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c2m1.large</td>
<td>2</td>
<td>1</td>
<td>0.0531</td>
<td>15.3</td>
<td>15.3</td>
<td>13.01</td>
<td>8.41</td>
<td>5.81</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.1062</td>
<td>30.6</td>
<td>30.6</td>
<td>26.01</td>
<td>16.83</td>
<td>11.63</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2124</td>
<td>61.2</td>
<td>61.2</td>
<td>52.02</td>
<td>33.66</td>
<td>23.26</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.4248</td>
<td>122.4</td>
<td>122.4</td>
<td>104.04</td>
<td>67.32</td>
<td>46.51</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.8496</td>
<td>244.8</td>
<td>244.8</td>
<td>208.08</td>
<td>134.64</td>
<td>93.02</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.7001</td>
<td>489.6</td>
<td>489.6</td>
<td>416.16</td>
<td>269.28</td>
<td>186.05</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.large</td>
<td>2</td>
<td>4</td>
<td>0.403125</td>
<td>193.5</td>
<td>193.5</td>
<td>164.47</td>
<td>106.43</td>
<td>73.53</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.806249</td>
<td>387</td>
<td>387</td>
<td>328.95</td>
<td>212.85</td>
<td>147.06</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.6125</td>
<td>774</td>
<td>774</td>
<td>657.9</td>
<td>425.7</td>
<td>294.12</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.41875</td>
<td>1161</td>
<td>1161</td>
<td>986.85</td>
<td>638.55</td>
<td>441.18</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.224999</td>
<td>1548</td>
<td>1548</td>
<td>1315.8</td>
<td>851.4</td>
<td>588.24</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.8375</td>
<td>2322</td>
<td>2322</td>
<td>1973.7</td>
<td>1277.1</td>
<td>882.36</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.45</td>
<td>3096</td>
<td>3096</td>
<td>2631.6</td>
<td>1702.8</td>
<td>1176.48</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.10xlarge</td>
<td>40</td>
<td>96</td>
<td>8.062499</td>
<td>3870</td>
<td>3870</td>
<td>3289.5</td>
<td>2128.5</td>
<td>1470.6</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.16xlarge</td>
<td>64</td>
<td>128</td>
<td>12.899999</td>
<td>6192</td>
<td>6192</td>
<td>5263.2</td>
<td>3405.6</td>
<td>2352.96</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.20xlarge</td>
<td>80</td>
<td>192</td>
<td>16.125</td>
<td>7740</td>
<td>7740</td>
<td>6579</td>
<td>4257</td>
<td>2941.2</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.large</td>
<td>2</td>
<td>8</td>
<td>0.495</td>
<td>237.6</td>
<td>237.6</td>
<td>201.96</td>
<td>130.68</td>
<td>90.29</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.99</td>
<td>475.2</td>
<td>475.2</td>
<td>403.92</td>
<td>261.36</td>
<td>180.58</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.98</td>
<td>950.4</td>
<td>950.4</td>
<td>807.84</td>
<td>522.72</td>
<td>361.15</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.97</td>
<td>1425.6</td>
<td>1425.6</td>
<td>1211.76</td>
<td>784.08</td>
<td>541.73</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.96</td>
<td>1900.8</td>
<td>1900.8</td>
<td>1615.68</td>
<td>1045.44</td>
<td>722.3</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.6xlarge</td>
<td>24</td>
<td>96</td>
<td>5.94</td>
<td>2851.2</td>
<td>2851.2</td>
<td>2423.52</td>
<td>1568.16</td>
<td>1083.46</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.92</td>
<td>3801.6</td>
<td>3801.6</td>
<td>3231.36</td>
<td>2090.88</td>
<td>1444.61</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.10xlarge</td>
<td>40</td>
<td>192</td>
<td>9.9</td>
<td>4752</td>
<td>4752</td>
<td>4039.2</td>
<td>2613.6</td>
<td>1805.76</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.16xlarge</td>
<td>64</td>
<td>256</td>
<td>15.84</td>
<td>7603.2</td>
<td>7603.2</td>
<td>6462.72</td>
<td>4181.76</td>
<td>2889.22</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.20xlarge</td>
<td>80</td>
<td>384</td>
<td>19.8</td>
<td>9504</td>
<td>9504</td>
<td>8078.4</td>
<td>5227.2</td>
<td>3611.52</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.3xlarge</td>
<td>12</td>
<td>92</td>
<td>17.766</td>
<td>8528</td>
<td>8528</td>
<td>7248.8</td>
<td>4690.4</td>
<td>3240.64</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.12xlarge</td>
<td>48</td>
<td>368</td>
<td>71.062</td>
<td>34110</td>
<td>34110</td>
<td>28993.5</td>
<td>18760.5</td>
<td>12961.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6e-c12g1.24xlarge</td>
<td>96</td>
<td>736</td>
<td>142.126</td>
<td>68220</td>
<td>68220</td>
<td>57987</td>
<td>37521</td>
<td>25923.6</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.large</td>
<td>2</td>
<td>16</td>
<td>0.65625</td>
<td>315</td>
<td>315</td>
<td>267.75</td>
<td>173.25</td>
<td>119.7</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.312499</td>
<td>630</td>
<td>630</td>
<td>535.5</td>
<td>346.5</td>
<td>239.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.625</td>
<td>1260</td>
<td>1260</td>
<td>1071</td>
<td>693</td>
<td>478.8</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.9375</td>
<td>1890</td>
<td>1890</td>
<td>1606.5</td>
<td>1039.5</td>
<td>718.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.249999</td>
<td>2520</td>
<td>2520</td>
<td>2142</td>
<td>1386</td>
<td>957.6</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.875</td>
<td>3780</td>
<td>3780</td>
<td>3213</td>
<td>2079</td>
<td>1436.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.5</td>
<td>5040</td>
<td>5040</td>
<td>4284</td>
<td>2772</td>
<td>1915.2</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.10xlarge</td>
<td>40</td>
<td>384</td>
<td>13.124999</td>
<td>6300</td>
<td>6300</td>
<td>5355</td>
<td>3465</td>
<td>2394</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.16xlarge</td>
<td>64</td>
<td>512</td>
<td>20.999999</td>
<td>10080</td>
<td>10080</td>
<td>8568</td>
<td>5544</td>
<td>3830.4</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.20xlarge</td>
<td>80</td>
<td>768</td>
<td>26.25</td>
<td>12600</td>
<td>12600</td>
<td>10710</td>
<td>6930</td>
<td>4788</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>18.23</td>
<td>8751.6</td>
<td>8751.6</td>
<td>7438.86</td>
<td>4813.38</td>
<td>3325.61</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>31.01</td>
<td>14882.4</td>
<td>14882.4</td>
<td>12650.04</td>
<td>8185.32</td>
<td>5655.31</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m1.small</td>
<td>1</td>
<td>1</td>
<td>0.1035</td>
<td>29.7</td>
<td>29.7</td>
<td>25.25</td>
<td>16.33</td>
<td>11.29</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.small</td>
<td>1</td>
<td>2</td>
<td>0.1872</td>
<td>54</td>
<td>54</td>
<td>45.9</td>
<td>29.7</td>
<td>20.52</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.small</td>
<td>1</td>
<td>4</td>
<td>0.2808</td>
<td>81</td>
<td>81</td>
<td>68.85</td>
<td>44.55</td>
<td>30.78</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.3753</td>
<td>108</td>
<td>108</td>
<td>91.8</td>
<td>59.4</td>
<td>41.04</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.5625</td>
<td>162</td>
<td>162</td>
<td>137.7</td>
<td>89.1</td>
<td>61.56</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.7497</td>
<td>216</td>
<td>216</td>
<td>183.6</td>
<td>118.8</td>
<td>82.08</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.125</td>
<td>324</td>
<td>324</td>
<td>275.4</td>
<td>178.2</td>
<td>123.12</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.25</td>
<td>648</td>
<td>648</td>
<td>550.8</td>
<td>356.4</td>
<td>246.24</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.5003</td>
<td>432</td>
<td>432</td>
<td>367.2</td>
<td>237.6</td>
<td>164.16</td>
</tr>
<tr>
<td>内存型弹性裸金属服务器 ecs.ebmr6a.64xlarge</td>
<td>256</td>
<td>2048</td>
<td>68.688</td>
<td>32970.24</td>
<td>32970.24</td>
<td>28024.7</td>
<td>18133.63</td>
<td>12528.69</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.large</td>
<td>2</td>
<td>16</td>
<td>0.656</td>
<td>315</td>
<td>315</td>
<td>267.75</td>
<td>173.25</td>
<td>119.7</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.312</td>
<td>630</td>
<td>630</td>
<td>535.5</td>
<td>346.5</td>
<td>239.4</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.625</td>
<td>1260</td>
<td>1260</td>
<td>1071</td>
<td>693</td>
<td>478.8</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.25</td>
<td>2520</td>
<td>2520</td>
<td>2142</td>
<td>1386</td>
<td>957.6</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.5</td>
<td>5040</td>
<td>5040</td>
<td>4284</td>
<td>2772</td>
<td>1915.2</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.13xlarge</td>
<td>52</td>
<td>384</td>
<td>17.063</td>
<td>8190</td>
<td>8190</td>
<td>6961.5</td>
<td>4504.5</td>
<td>3112.2</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.large</td>
<td>2</td>
<td>4</td>
<td>0.369</td>
<td>177.3</td>
<td>177.3</td>
<td>150.71</td>
<td>97.52</td>
<td>67.37</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.739</td>
<td>354.6</td>
<td>354.6</td>
<td>301.41</td>
<td>195.03</td>
<td>134.75</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.478</td>
<td>709.2</td>
<td>709.2</td>
<td>602.82</td>
<td>390.06</td>
<td>269.5</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.955</td>
<td>1418.4</td>
<td>1418.4</td>
<td>1205.64</td>
<td>780.12</td>
<td>538.99</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.91</td>
<td>2836.8</td>
<td>2836.8</td>
<td>2411.28</td>
<td>1560.24</td>
<td>1077.98</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.13xlarge</td>
<td>52</td>
<td>96</td>
<td>9.604</td>
<td>4609.8</td>
<td>4609.8</td>
<td>3918.33</td>
<td>2535.39</td>
<td>1751.72</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.26xlarge</td>
<td>104</td>
<td>192</td>
<td>19.208</td>
<td>9219.6</td>
<td>9219.6</td>
<td>7836.66</td>
<td>5070.78</td>
<td>3503.45</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.large</td>
<td>2</td>
<td>4</td>
<td>0.264</td>
<td>126.72</td>
<td>126.72</td>
<td>107.71</td>
<td>69.7</td>
<td>48.15</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.528</td>
<td>253.44</td>
<td>253.44</td>
<td>215.42</td>
<td>139.39</td>
<td>96.31</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.056</td>
<td>506.88</td>
<td>506.88</td>
<td>430.85</td>
<td>278.78</td>
<td>192.61</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.112</td>
<td>1013.76</td>
<td>1013.76</td>
<td>861.7</td>
<td>557.57</td>
<td>385.23</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>4.224</td>
<td>2027.52</td>
<td>2027.52</td>
<td>1723.39</td>
<td>1115.14</td>
<td>770.46</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>8.448</td>
<td>4055.04</td>
<td>4055.04</td>
<td>3446.78</td>
<td>2230.27</td>
<td>1540.92</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>16.896</td>
<td>8110.08</td>
<td>8110.08</td>
<td>6893.57</td>
<td>4460.54</td>
<td>3081.83</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.large</td>
<td>2</td>
<td>16</td>
<td>0.537</td>
<td>257.58</td>
<td>257.58</td>
<td>218.94</td>
<td>141.67</td>
<td>97.88</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.073</td>
<td>515.16</td>
<td>515.16</td>
<td>437.89</td>
<td>283.34</td>
<td>195.76</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.146</td>
<td>1030.32</td>
<td>1030.32</td>
<td>875.77</td>
<td>566.68</td>
<td>391.52</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.293</td>
<td>2060.64</td>
<td>2060.64</td>
<td>1751.54</td>
<td>1133.35</td>
<td>783.04</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>8.586</td>
<td>4121.28</td>
<td>4121.28</td>
<td>3503.09</td>
<td>2266.7</td>
<td>1566.09</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>17.172</td>
<td>8242.56</td>
<td>8242.56</td>
<td>7006.18</td>
<td>4533.41</td>
<td>3132.17</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.large</td>
<td>2</td>
<td>8</td>
<td>0.396</td>
<td>190.08</td>
<td>190.08</td>
<td>161.57</td>
<td>104.54</td>
<td>72.23</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.792</td>
<td>380.16</td>
<td>380.16</td>
<td>323.14</td>
<td>209.09</td>
<td>144.46</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.584</td>
<td>760.32</td>
<td>760.32</td>
<td>646.27</td>
<td>418.18</td>
<td>288.92</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.168</td>
<td>1520.64</td>
<td>1520.64</td>
<td>1292.54</td>
<td>836.35</td>
<td>577.84</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>6.336</td>
<td>3041.28</td>
<td>3041.28</td>
<td>2585.09</td>
<td>1672.7</td>
<td>1155.69</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>12.672</td>
<td>6082.56</td>
<td>6082.56</td>
<td>5170.18</td>
<td>3345.41</td>
<td>2311.37</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>25.344</td>
<td>12165.12</td>
<td>12165.12</td>
<td>10340.35</td>
<td>6690.82</td>
<td>4622.75</td>
</tr>
<tr>
<td>GPU图形计算型 ecs.ebmgi6s.24xlarge</td>
<td>96</td>
<td>384</td>
<td>13.584375</td>
<td>6520.5</td>
<td>6520.5</td>
<td>5542.43</td>
<td>3586.27</td>
<td>2477.79</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.xlarge</td>
<td>4</td>
<td>30</td>
<td>12.78</td>
<td>3681</td>
<td>3681</td>
<td>3128.85</td>
<td>2024.55</td>
<td>1398.78</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>15.39</td>
<td>4433</td>
<td>4433</td>
<td>3768.05</td>
<td>2438.15</td>
<td>1684.54</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.4xlarge</td>
<td>16</td>
<td>120</td>
<td>30.78</td>
<td>8866</td>
<td>8866</td>
<td>7536.1</td>
<td>4876.3</td>
<td>3369.08</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.8xlarge</td>
<td>32</td>
<td>240</td>
<td>61.57</td>
<td>17731</td>
<td>17731</td>
<td>15071.35</td>
<td>9752.05</td>
<td>6737.78</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c8g1.14xlarge</td>
<td>54</td>
<td>480</td>
<td>123.13</td>
<td>35462</td>
<td>35462</td>
<td>30142.7</td>
<td>19504.1</td>
<td>13475.56</td>
</tr>
<tr>
<td>计算型 ecs.c5.large</td>
<td>2</td>
<td>4</td>
<td>0.558</td>
<td>161.1</td>
<td>161.1</td>
<td>136.94</td>
<td>88.61</td>
<td>61.22</td>
</tr>
<tr>
<td>计算型 ecs.c5.xlarge</td>
<td>4</td>
<td>8</td>
<td>1.116</td>
<td>322.2</td>
<td>322.2</td>
<td>273.87</td>
<td>177.21</td>
<td>122.44</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.241</td>
<td>644.4</td>
<td>644.4</td>
<td>547.74</td>
<td>354.42</td>
<td>244.87</td>
</tr>
<tr>
<td>计算型 ecs.c5.3xlarge</td>
<td>12</td>
<td>24</td>
<td>3.357</td>
<td>966.6</td>
<td>966.6</td>
<td>821.61</td>
<td>531.63</td>
<td>367.31</td>
</tr>
<tr>
<td>计算型 ecs.c5.4xlarge</td>
<td>16</td>
<td>32</td>
<td>4.473</td>
<td>1288.8</td>
<td>1288.8</td>
<td>1095.48</td>
<td>708.84</td>
<td>489.74</td>
</tr>
<tr>
<td>计算型 ecs.c5.6xlarge</td>
<td>24</td>
<td>48</td>
<td>6.714</td>
<td>1933.2</td>
<td>1933.2</td>
<td>1643.22</td>
<td>1063.26</td>
<td>734.62</td>
</tr>
<tr>
<td>计算型 ecs.c5.8xlarge</td>
<td>32</td>
<td>64</td>
<td>8.946</td>
<td>2577.6</td>
<td>2577.6</td>
<td>2190.96</td>
<td>1417.68</td>
<td>979.49</td>
</tr>
<tr>
<td>计算型 ecs.c5.16xlarge</td>
<td>64</td>
<td>128</td>
<td>17.901</td>
<td>5155.2</td>
<td>5155.2</td>
<td>4381.92</td>
<td>2835.36</td>
<td>1958.98</td>
</tr>
<tr>
<td>通用型 ecs.g5.large</td>
<td>2</td>
<td>8</td>
<td>0.89</td>
<td>255</td>
<td>255</td>
<td>216.75</td>
<td>140.25</td>
<td>96.9</td>
</tr>
<tr>
<td>通用型 ecs.g5.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.593</td>
<td>459</td>
<td>459</td>
<td>390.15</td>
<td>252.45</td>
<td>174.42</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.186</td>
<td>918</td>
<td>918</td>
<td>780.3</td>
<td>504.9</td>
<td>348.84</td>
</tr>
<tr>
<td>通用型 ecs.g5.3xlarge</td>
<td>12</td>
<td>48</td>
<td>4.779</td>
<td>1377</td>
<td>1377</td>
<td>1170.45</td>
<td>757.35</td>
<td>523.26</td>
</tr>
<tr>
<td>通用型 ecs.g5.4xlarge</td>
<td>16</td>
<td>64</td>
<td>6.372</td>
<td>1836</td>
<td>1836</td>
<td>1560.6</td>
<td>1009.8</td>
<td>697.68</td>
</tr>
<tr>
<td>通用型 ecs.g5.6xlarge</td>
<td>24</td>
<td>96</td>
<td>9.567</td>
<td>2754</td>
<td>2754</td>
<td>2340.9</td>
<td>1514.7</td>
<td>1046.52</td>
</tr>
<tr>
<td>通用型 ecs.g5.8xlarge</td>
<td>32</td>
<td>128</td>
<td>12.753</td>
<td>3672</td>
<td>3672</td>
<td>3121.2</td>
<td>2019.6</td>
<td>1395.36</td>
</tr>
<tr>
<td>通用型 ecs.g5.16xlarge</td>
<td>64</td>
<td>256</td>
<td>25.497</td>
<td>7344</td>
<td>7344</td>
<td>6242.4</td>
<td>4039.2</td>
<td>2790.72</td>
</tr>
<tr>
<td>内存型 ecs.r5.large</td>
<td>2</td>
<td>16</td>
<td>1.017</td>
<td>293.4</td>
<td>293.4</td>
<td>249.39</td>
<td>161.37</td>
<td>111.49</td>
</tr>
<tr>
<td>内存型 ecs.r5.xlarge</td>
<td>4</td>
<td>32</td>
<td>2.034</td>
<td>586.8</td>
<td>586.8</td>
<td>498.78</td>
<td>322.74</td>
<td>222.98</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.077</td>
<td>1173.6</td>
<td>1173.6</td>
<td>997.56</td>
<td>645.48</td>
<td>445.97</td>
</tr>
<tr>
<td>内存型 ecs.r5.3xlarge</td>
<td>12</td>
<td>96</td>
<td>6.111</td>
<td>1760.4</td>
<td>1760.4</td>
<td>1496.34</td>
<td>968.22</td>
<td>668.95</td>
</tr>
<tr>
<td>内存型 ecs.r5.4xlarge</td>
<td>16</td>
<td>128</td>
<td>8.154</td>
<td>2347.2</td>
<td>2347.2</td>
<td>1995.12</td>
<td>1290.96</td>
<td>891.94</td>
</tr>
<tr>
<td>内存型 ecs.r5.6xlarge</td>
<td>24</td>
<td>192</td>
<td>12.222</td>
<td>3520.8</td>
<td>3520.8</td>
<td>2992.68</td>
<td>1936.44</td>
<td>1337.9</td>
</tr>
<tr>
<td>内存型 ecs.r5.8xlarge</td>
<td>32</td>
<td>256</td>
<td>16.299</td>
<td>4694.4</td>
<td>4694.4</td>
<td>3990.24</td>
<td>2581.92</td>
<td>1783.87</td>
</tr>
<tr>
<td>内存型 ecs.r5.16xlarge</td>
<td>64</td>
<td>512</td>
<td>32.598</td>
<td>9388.8</td>
<td>9388.8</td>
<td>7980.48</td>
<td>5163.84</td>
<td>3567.74</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.large</td>
<td>2</td>
<td>2</td>
<td>0.531</td>
<td>153</td>
<td>153</td>
<td>130.05</td>
<td>84.15</td>
<td>58.14</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.xlarge</td>
<td>4</td>
<td>4</td>
<td>1.062</td>
<td>306</td>
<td>306</td>
<td>260.1</td>
<td>168.3</td>
<td>116.28</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.124</td>
<td>612</td>
<td>612</td>
<td>520.2</td>
<td>336.6</td>
<td>232.56</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.3xlarge</td>
<td>12</td>
<td>12</td>
<td>3.186</td>
<td>918</td>
<td>918</td>
<td>780.3</td>
<td>504.9</td>
<td>348.84</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.4xlarge</td>
<td>16</td>
<td>16</td>
<td>4.248</td>
<td>1224</td>
<td>1224</td>
<td>1040.4</td>
<td>673.2</td>
<td>465.12</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.6xlarge</td>
<td>24</td>
<td>24</td>
<td>6.381</td>
<td>1836.9</td>
<td>1836.9</td>
<td>1561.37</td>
<td>1010.3</td>
<td>698.02</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.8xlarge</td>
<td>32</td>
<td>32</td>
<td>8.505</td>
<td>2448.9</td>
<td>2448.9</td>
<td>2081.57</td>
<td>1346.89</td>
<td>930.58</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.16xlarge</td>
<td>64</td>
<td>64</td>
<td>17.01</td>
<td>4897.8</td>
<td>4897.8</td>
<td>4163.13</td>
<td>2693.79</td>
<td>1861.16</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.large</td>
<td>2</td>
<td>8</td>
<td>0.585416</td>
<td>281</td>
<td>281</td>
<td>238.85</td>
<td>154.55</td>
<td>106.78</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.xlarge</td>
<td>4</td>
<td>16</td>
<td>1.170833</td>
<td>562</td>
<td>562</td>
<td>477.7</td>
<td>309.1</td>
<td>213.56</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.902777</td>
<td>1124</td>
<td>1124</td>
<td>955.4</td>
<td>618.2</td>
<td>427.12</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.805555</td>
<td>2248</td>
<td>2248</td>
<td>1910.8</td>
<td>1236.4</td>
<td>854.24</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>15.611111</td>
<td>4496</td>
<td>4496</td>
<td>3821.6</td>
<td>2472.8</td>
<td>1708.48</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>31.222222</td>
<td>8992</td>
<td>8992</td>
<td>7643.2</td>
<td>4945.6</td>
<td>3416.96</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.18xlarge</td>
<td>72</td>
<td>288</td>
<td>35.125</td>
<td>10116</td>
<td>10116</td>
<td>8598.6</td>
<td>5563.8</td>
<td>3844.08</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.853</td>
<td>889.2</td>
<td>889.2</td>
<td>755.82</td>
<td>489.06</td>
<td>337.9</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.705</td>
<td>1778.4</td>
<td>1778.4</td>
<td>1511.64</td>
<td>978.12</td>
<td>675.79</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.41</td>
<td>3556.8</td>
<td>3556.8</td>
<td>3023.28</td>
<td>1956.24</td>
<td>1351.58</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.82</td>
<td>7113.6</td>
<td>7113.6</td>
<td>6046.56</td>
<td>3912.48</td>
<td>2703.17</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.13xlarge</td>
<td>52</td>
<td>384</td>
<td>22.23</td>
<td>10670.4</td>
<td>10670.4</td>
<td>9069.84</td>
<td>5868.72</td>
<td>4054.75</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.26xlarge</td>
<td>104</td>
<td>768</td>
<td>44.46</td>
<td>21340.8</td>
<td>21340.8</td>
<td>18139.68</td>
<td>11737.44</td>
<td>8109.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.52</td>
<td>1209.6</td>
<td>1209.6</td>
<td>1028.16</td>
<td>665.28</td>
<td>459.65</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.04</td>
<td>2419.2</td>
<td>2419.2</td>
<td>2056.32</td>
<td>1330.56</td>
<td>919.3</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>10.08</td>
<td>4838.4</td>
<td>4838.4</td>
<td>4112.64</td>
<td>2661.12</td>
<td>1838.59</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.13xlarge</td>
<td>52</td>
<td>192</td>
<td>15.12</td>
<td>7257.6</td>
<td>7257.6</td>
<td>6168.96</td>
<td>3991.68</td>
<td>2757.89</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.26xlarge</td>
<td>104</td>
<td>384</td>
<td>30.24</td>
<td>14515.2</td>
<td>14515.2</td>
<td>12337.92</td>
<td>7983.36</td>
<td>5515.78</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.692</td>
<td>813.6</td>
<td>813.6</td>
<td>691.56</td>
<td>447.48</td>
<td>309.17</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.393</td>
<td>1627.2</td>
<td>1627.2</td>
<td>1383.12</td>
<td>894.96</td>
<td>618.34</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.4xlarge</td>
<td>16</td>
<td>128</td>
<td>6.777</td>
<td>3254.4</td>
<td>3254.4</td>
<td>2766.24</td>
<td>1789.92</td>
<td>1236.67</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.8xlarge</td>
<td>32</td>
<td>256</td>
<td>13.563</td>
<td>6508.8</td>
<td>6508.8</td>
<td>5532.48</td>
<td>3579.84</td>
<td>2473.34</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.16xlarge</td>
<td>64</td>
<td>512</td>
<td>27.117</td>
<td>13017.6</td>
<td>13017.6</td>
<td>11064.96</td>
<td>7159.68</td>
<td>4946.69</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.7657</td>
<td>1327.5</td>
<td>1327.5</td>
<td>1128.38</td>
<td>730.13</td>
<td>1327.5</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.5314</td>
<td>2655</td>
<td>2655</td>
<td>2256.75</td>
<td>1460.25</td>
<td>2655</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.0628</td>
<td>5310</td>
<td>5310</td>
<td>4513.5</td>
<td>2920.5</td>
<td>5310</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.16xlarge</td>
<td>64</td>
<td>256</td>
<td>22.1256</td>
<td>10620</td>
<td>10620</td>
<td>9027</td>
<td>5841</td>
<td>10620</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.7766</td>
<td>854.28</td>
<td>854.28</td>
<td>726.14</td>
<td>469.85</td>
<td>324.63</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.5532</td>
<td>1708.56</td>
<td>1708.56</td>
<td>1452.28</td>
<td>939.71</td>
<td>649.25</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.4xlarge</td>
<td>16</td>
<td>128</td>
<td>7.1064</td>
<td>3417.12</td>
<td>3417.12</td>
<td>2904.55</td>
<td>1879.42</td>
<td>1298.51</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.8xlarge</td>
<td>32</td>
<td>256</td>
<td>14.2128</td>
<td>6834.24</td>
<td>6834.24</td>
<td>5809.1</td>
<td>3758.83</td>
<td>2597.01</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.16xlarge</td>
<td>64</td>
<td>512</td>
<td>28.4256</td>
<td>13668.48</td>
<td>13668.48</td>
<td>11618.21</td>
<td>7517.66</td>
<td>5194.02</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.20xlarge</td>
<td>80</td>
<td>704</td>
<td>35.532</td>
<td>17085.6</td>
<td>17085.6</td>
<td>14522.76</td>
<td>9397.08</td>
<td>6492.53</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.9043</td>
<td>1394.1</td>
<td>1394.1</td>
<td>1184.98</td>
<td>766.75</td>
<td>529.76</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>5.8086</td>
<td>2788.2</td>
<td>2788.2</td>
<td>2369.97</td>
<td>1533.51</td>
<td>1059.52</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.8xlarge</td>
<td>32</td>
<td>128</td>
<td>11.6163</td>
<td>5576.4</td>
<td>5576.4</td>
<td>4739.94</td>
<td>3067.02</td>
<td>2119.03</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.16xlarge</td>
<td>64</td>
<td>256</td>
<td>23.2344</td>
<td>11152.8</td>
<td>11152.8</td>
<td>9479.88</td>
<td>6134.04</td>
<td>4238.06</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.5xlarge</td>
<td>20</td>
<td>88</td>
<td>13.257</td>
<td>3817.8</td>
<td>3817.8</td>
<td>3245.13</td>
<td>2099.79</td>
<td>1450.76</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.10xlarge</td>
<td>40</td>
<td>176</td>
<td>26.514</td>
<td>7635.6</td>
<td>7635.6</td>
<td>6490.26</td>
<td>4199.58</td>
<td>2901.53</td>
</tr>
<tr>
<td>大数据存储型 ecs.d2s.20xlarge</td>
<td>80</td>
<td>352</td>
<td>53.028</td>
<td>15271.2</td>
<td>15271.2</td>
<td>12980.52</td>
<td>8399.16</td>
<td>5803.06</td>
</tr>
</tbody>
</table>
<h5>阿里云服务器带宽收费标准</h5>
云服务器带宽收费模式分为预付费和按量收费，两种收费模式都是在带宽值达到6Mbps时候价格会明显上涨，最新的收费标准如下表所示：
<table>
<thead>
<tr>
<th>计费方式</th>
<th>类型</th>
<th>价格</th>
<th>计费方式</th>
</tr>
</thead>
<tbody>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>1Mbps</td>
<td>23.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>2Mbps</td>
<td>46.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>3Mbps</td>
<td>71.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>4Mbps</td>
<td>96.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>5Mbps</td>
<td>125.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>预付费, 按固定带宽阶梯计费</td>
<td>6Mbps及以上，每Mbps费用</td>
<td>80.0 元/月</td>
<td>预付费, 按固定带宽阶梯计费</td>
</tr>
<tr>
<td>按量，按固定带宽阶梯计费</td>
<td>1－5 Mbps，每Mbps费用</td>
<td>0.0625 元/小时</td>
<td>按量，按固定带宽阶梯计费</td>
</tr>
<tr>
<td>按量，按固定带宽阶梯计费</td>
<td>6Mbps及以上，每Mbps费用</td>
<td>0.250 元/小时</td>
<td>按量，按固定带宽阶梯计费</td>
</tr>
<tr>
<td>按使用量线性计费</td>
<td>1GB</td>
<td>0.8 元/GB</td>
<td>按使用量线性计费</td>
</tr>
</tbody>
</table>
<h5>阿里云服务器块存储价格收费标准</h5>
块存储指的是云服务器的系统盘及数据盘，可选的云盘种类有高效云盘、SSD云盘、ESSD磁盘、ESSD AutoPL磁盘等，云盘类型不同，收费标准也不同，最新的收费标准如下：
1、ESSD磁盘价格
<table>
<thead>
<tr>
<th>类型</th>
<th>最大IOPS/最大吞吐量</th>
<th>云盘容量范围（GiB）</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>ESSD云盘PL0</td>
<td>1万 / 180MB</td>
<td>40 ~ 32768 GiB</td>
<td>0.00105 元/1 GiB/小时</td>
<td>0.5 元/1 GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL1</td>
<td>5万 / 350MB</td>
<td>20 ~ 32768 GiB</td>
<td>0.0021 元/1 GiB/小时</td>
<td>1 元/1 GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL2</td>
<td>10万 / 750MB</td>
<td>461 ~ 32768 GiB</td>
<td>0.0042 元/1 GiB/小时</td>
<td>2 元/1 GiB/月</td>
</tr>
<tr>
<td>ESSD云盘PL3</td>
<td>100万 / 4,000MB</td>
<td>1261 ~ 32768 GiB</td>
<td>0.0084 元/1 GiB/小时</td>
<td>4 元/1 GiB/月</td>
</tr>
</tbody>
</table>
2、ESSD AutoPL价格
<table>
<thead>
<tr>
<th>计费项</th>
<th>计费说明</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>AutoPL云盘基准性能</td>
<td>AutoPL云盘容量价格与ESSD PL1云盘保持一致，并支持按量付费和包年包月，直接购买后具备和ESSD PL1相同的基准性能</td>
<td>0.0021 元/1 GiB/小时</td>
<td>1 元/1 GiB/月</td>
</tr>
<tr>
<td>AutoPL云盘额外性能</td>
<td>仅支持按量付费，费用按照每小时计费出账。</td>
<td>0.0000625 元/1 IOPS/小时</td>
<td>--</td>
</tr>
<tr>
<td>AutoPL云盘突发性能</td>
<td>仅支持按量付费，突发时每小时计费出账，以 万 IO为单位（或突发吞吐转换的IO）计算，不足1万按1万计费。</td>
<td>0.02 元/万 IO</td>
<td>--</td>
</tr>
</tbody>
</table>
3、系统盘价格
<table>
<thead>
<tr>
<th>类型</th>
<th>规格</th>
<th>按量价格</th>
<th>包月价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>普通云盘</td>
<td>40 GiB</td>
<td>0.0168 元/40 GiB/小时</td>
<td>12 元/40 GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>40 GiB</td>
<td>0.0196 元/40 GiB/小时</td>
<td>14 元/40 GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>40 GiB</td>
<td>0.056 元/40 GiB/小时</td>
<td>40 元/40 GiB/月</td>
</tr>
<tr>
<td>普通云盘</td>
<td>1 GiB</td>
<td>0.00042 元/1 GiB/小时</td>
<td>0.3 元/1 GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1 GiB</td>
<td>0.00049 元/1 GiB/小时</td>
<td>0.35 元/1 GiB/月</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1 GiB</td>
<td>0.0014 元/1 GiB/小时</td>
<td>1 元/1 GiB/月</td>
</tr>
</tbody>
</table>
4、数据盘价格
<table>
<thead>
<tr>
<th>类型</th>
<th>类型</th>
<th>类型</th>
<th>类型</th>
</tr>
</thead>
<tbody>
<tr>
<td>规格</td>
<td>按量价格</td>
<td>包月价格</td>
<td>规格</td>
</tr>
<tr>
<td>普通云盘</td>
<td>1 GiB</td>
<td>0.00042 元/1 GiB/小时</td>
<td>0.3 元/1 GiB/月</td>
</tr>
<tr>
<td>高效云盘</td>
<td>1 GiB</td>
<td>0.00049 元/1 GiB/小时</td>
<td>0.35 元/1 GiB/月</td>
</tr>
<tr>
<td>当前价格地域: 华北 2 (北京)</td>
<td>当前价格地域: 华北 2 (北京)</td>
<td>当前价格地域: 华北 2 (北京)</td>
<td>当前价格地域: 华北 2 (北京)</td>
</tr>
<tr>
<td>查看所有地域价格</td>
<td>查看所有地域价格</td>
<td>查看所有地域价格</td>
<td>查看所有地域价格</td>
</tr>
<tr>
<td>SSD云盘</td>
<td>1 GiB</td>
<td>0.0014 元/1 GiB/小时</td>
<td>1 元/1 GiB/月</td>
</tr>
</tbody>
</table>
<h2>阿里云服务器价格计算器的使用</h2>
在阿里云服务器产品页内我们可以看到价格计算器进入按钮，点击即可进入，如下图所示：
选择云服务器的地域、可用区、实例规格、操作系统、系统盘、数据盘、带宽、购买时长和购买数量之后，计算器可以自动计算出费用明细，例如，小编选择了一款杭州地域，通用平衡增强型g6e实例4核16G配置，Windows Server 2022数据中心版64位中文版系统，系统盘为40G ESSD磁盘，数据盘为100G ESSD磁盘,5M固定带宽，购买时长为1年的云服务器，右下角可以看到预估总费用为9039元，点击“费用明细”还可以查询到详细的收费项目与收费标准，如下图所示：
<div class="image-caption">费用明细查询图.png
注意：价格计算器仅提供价格估算功能，具体价格以实际使用情况为准；由于优惠的限制（如按年购买可享优惠，按月购买不享受），预算时请选择实际配置获取报价。
<h2>阿里云服务器活动报价</h2>
阿里云经常会推出特价活动，例如：新春采购季、618、双十一、双12、年终大促等，下面为大家整理出2023年阿里云正在进行的活动云服务器报价信息，以供大家参考选择：
1、轻量应用服务器特惠
价格信息来源：云服务器新人特惠活动
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>轻量应用服务器</td>
<td>2核2G</td>
<td>3M</td>
<td>50GB ESSD</td>
<td>108元/1年</td>
</tr>
<tr>
<td>轻量应用服务器</td>
<td>2核4G</td>
<td>4M</td>
<td>60GB ESSD</td>
<td>297.98元/1年</td>
</tr>
</tbody>
</table>
2、通用算力型u1云服务器活动价格
价格信息来源：云服务器新人特惠活动
表1：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用算力型u1</td>
<td>2核2G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1532.04元/1年</td>
<td>1766.64元/1年</td>
<td>2021.64元/1年</td>
<td>2276.64元/1年</td>
<td>2572.44元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2685.48元/1年</td>
<td>2920.08元/1年</td>
<td>3175.08元/1年</td>
<td>3430.08元/1年</td>
<td>3725.88元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4992.36元/1年</td>
<td>5226.96元/1年</td>
<td>5481.96元/1年</td>
<td>5736.96元/1年</td>
<td>6032.76元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1591.66元/1年</td>
<td>1826.26元/1年</td>
<td>2081.26元/1年</td>
<td>2336.26元/1年</td>
<td>2632.06元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2804.71元/1年</td>
<td>3039.31元/1年</td>
<td>3294.31元/1年</td>
<td>3549.31元/1年</td>
<td>3845.11元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>5230.82元/1年</td>
<td>5465.42元/1年</td>
<td>5720.42元/1年</td>
<td>5975.42元/1年</td>
<td>6271.22元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>1933.80元/1年</td>
<td>2168.40元/1年</td>
<td>2423.40元/1年</td>
<td>2678.40元/1年</td>
<td>2974.20元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3489.00元/1年</td>
<td>3723.60元/1年</td>
<td>3978.60元/1年</td>
<td>4233.60元/1年</td>
<td>4529.40元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>6599.40元/1年</td>
<td>6834.00元/1年</td>
<td>7089.00元/1年</td>
<td>7344.00元/1年</td>
<td>7639.80元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2439.24元/1年</td>
<td>2673.84元/1年</td>
<td>2928.84元/1年</td>
<td>3183.84元/1年</td>
<td>3479.64元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4499.88元/1年</td>
<td>4734.48元/1年</td>
<td>4989.48元/1年</td>
<td>5244.48元/1年</td>
<td>5540.28元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>8621.16元/1年</td>
<td>8855.76元/1年</td>
<td>9110.76元/1年</td>
<td>9365.76元/1年</td>
<td>9661.56元/1年</td>
</tr>
</tbody>
</table>
表2：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>活动价格1个月</th>
<th>活动价格2个月</th>
<th>活动价格3个月</th>
<th>活动价格4个月</th>
<th>活动价格5个月</th>
<th>活动价格6个月</th>
<th>活动价格9个月</th>
<th>活动价格1年</th>
<th>活动价格2年</th>
<th>活动价格3年</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用算力型u1</td>
<td>2核2G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>203.20元</td>
<td>406.40元</td>
<td>609.60元</td>
<td>812.80元</td>
<td>1016.00元</td>
<td>1219.20元</td>
<td>1828.80元</td>
<td>1532.04元</td>
<td>2415.36元</td>
<td>3168.94元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核4G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>363.40元</td>
<td>726.80元</td>
<td>1090.20元</td>
<td>1453.60元</td>
<td>1817.00元</td>
<td>2180.40元</td>
<td>3270.60元</td>
<td>2685.48元</td>
<td>4145.52元</td>
<td>5360.47元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核8G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>683.80元</td>
<td>1367.60元</td>
<td>2051.40元</td>
<td>2735.20元</td>
<td>3419.00元</td>
<td>4102.80元</td>
<td>6154.20元</td>
<td>4992.36元</td>
<td>7605.84元</td>
<td>9743.54元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>211.48元</td>
<td>422.96元</td>
<td>634.44元</td>
<td>845.92元</td>
<td>1057.40元</td>
<td>1268.88元</td>
<td>1903.32元</td>
<td>1591.66元</td>
<td>2504.78元</td>
<td>3282.21元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>379.96元</td>
<td>759.92元</td>
<td>1139.88元</td>
<td>1519.84元</td>
<td>1899.80元</td>
<td>2279.76元</td>
<td>3419.64元</td>
<td>2804.71元</td>
<td>4324.37元</td>
<td>5587.01元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>716.92元</td>
<td>1433.84元</td>
<td>2150.76元</td>
<td>2867.68元</td>
<td>3584.60元</td>
<td>4301.52元</td>
<td>6452.28元</td>
<td>5230.82元</td>
<td>7963.54元</td>
<td>10196.63元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>259.00元</td>
<td>518.00元</td>
<td>777.00元</td>
<td>1036.00元</td>
<td>1295.00元</td>
<td>1554.00元</td>
<td>2331.00元</td>
<td>1933.80元</td>
<td>3018.00元</td>
<td>3932.28元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>475.00元</td>
<td>950.00元</td>
<td>1425.00元</td>
<td>1900.00元</td>
<td>2375.00元</td>
<td>2850.00元</td>
<td>4275.00元</td>
<td>3489.00元</td>
<td>5350.80元</td>
<td>6887.16元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>907.00元</td>
<td>1814.00元</td>
<td>2721.00元</td>
<td>3628.00元</td>
<td>4535.00元</td>
<td>5442.00元</td>
<td>8163.00元</td>
<td>6599.40元</td>
<td>10016.40元</td>
<td>12796.92元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>329.20元</td>
<td>658.40元</td>
<td>987.60元</td>
<td>1316.80元</td>
<td>1646.00元</td>
<td>1975.20元</td>
<td>2962.80元</td>
<td>2439.24元</td>
<td>3776.16元</td>
<td>4892.62元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>615.40元</td>
<td>1230.80元</td>
<td>1846.20元</td>
<td>2461.60元</td>
<td>3077.00元</td>
<td>3692.40元</td>
<td>5538.60元</td>
<td>4499.88元</td>
<td>6867.12元</td>
<td>8807.83元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>1187.80元</td>
<td>2375.60元</td>
<td>3563.40元</td>
<td>4751.20元</td>
<td>5939.00元</td>
<td>7126.80元</td>
<td>10690.20元</td>
<td>8621.16元</td>
<td>13049.04元</td>
<td>16638.26元</td>
</tr>
</tbody>
</table>
3、第七代云服务器活动价格
价格信息来源：云服务器新人特惠活动
表1：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2129.41元/1年</td>
<td>2364.01元/1年</td>
<td>2619.01元/1年</td>
<td>2874.01元/1年</td>
<td>3169.81元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3820.22元/1年</td>
<td>4054.82元/1年</td>
<td>4309.82元/1年</td>
<td>4564.82元/1年</td>
<td>4860.62元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>7201.83元/1年</td>
<td>7436.43元/1年</td>
<td>7691.43元/1年</td>
<td>7946.43元/1年</td>
<td>8242.23元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>2608.62元/1年</td>
<td>2843.22元/1年</td>
<td>3098.22元/1年</td>
<td>3353.22元/1年</td>
<td>3649.02元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>4778.64元/1年</td>
<td>5013.24元/1年</td>
<td>5268.24元/1年</td>
<td>5523.24元/1年</td>
<td>5819.04元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>9118.69元/1年</td>
<td>9353.29元/1年</td>
<td>9608.29元/1年</td>
<td>9863.29元/1年</td>
<td>10159.09元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>3325.97元/1年</td>
<td>3560.57元/1年</td>
<td>3815.57元/1年</td>
<td>4070.57元/1年</td>
<td>4366.37元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>6213.34元/1年</td>
<td>6447.94元/1年</td>
<td>6702.94元/1年</td>
<td>6957.94元/1年</td>
<td>7253.74元/1年</td>
</tr>
<tr>
<td>内存型r7</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD云盘</td>
<td>11988.08元/1年</td>
<td>12222.68元/1年</td>
<td>12477.68元/1年</td>
<td>12732.68元/1年</td>
<td>13028.48元/1年</td>
</tr>
</tbody>
</table>
表2：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>活动价格1年</th>
<th>活动价格2年</th>
<th>活动价格3年</th>
<th>活动价格4年</th>
<th>活动价格5年</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>2129.41元</td>
<td>3623.21元</td>
<td>4374.97元</td>
<td>4987.88元</td>
<td>5530.35元</td>
</tr>
<tr>
<td>计算型c7</td>
<td>4核8G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>3820.22元</td>
<td>6441.23元</td>
<td>7686.14元</td>
<td>8557.37元</td>
<td>9287.71元</td>
</tr>
<tr>
<td>计算型c7</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>7201.83元</td>
<td>12077.26元</td>
<td>14308.47元</td>
<td>15696.35元</td>
<td>16802.41元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>2608.62元</td>
<td>4421.90元</td>
<td>5313.43元</td>
<td>5999.56元</td>
<td>6595.27元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>4核16G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>4778.64元</td>
<td>8038.61元</td>
<td>9563.05元</td>
<td>10580.72元</td>
<td>11417.54元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>9118.69元</td>
<td>15272.02元</td>
<td>18062.31元</td>
<td>19743.03元</td>
<td>21062.09元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>2核16G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>3325.97元</td>
<td>5617.48元</td>
<td>6718.23元</td>
<td>7513.96元</td>
<td>8189.37元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>4核32G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>6213.34元</td>
<td>10429.76元</td>
<td>12372.66元</td>
<td>13609.51元</td>
<td>14605.75元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G-100G ESSD云盘</td>
<td>11988.08元</td>
<td>20054.33元</td>
<td>23681.52元</td>
<td>25800.62元</td>
<td>27438.50元</td>
</tr>
</tbody>
</table>
4、倚天云服务器计算型c8y、通用型g8y和内存型r8y实例云服务器活动价格
价格信息来源：云服务器百亿补贴
表1：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>1M带宽活动价格</th>
<th>2M带宽活动价格</th>
<th>3M带宽活动价格</th>
<th>4M带宽活动价格</th>
<th>5M带宽活动价格</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c8y</td>
<td>1核2G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>992.11元</td>
<td>1226.71元</td>
<td>1481.71元</td>
<td>1736.71元</td>
<td>2032.51元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>2核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1545.63元</td>
<td>1780.23元</td>
<td>2035.23元</td>
<td>2290.23元</td>
<td>2586.03元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>4核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2652.65元</td>
<td>2887.25元</td>
<td>3142.25元</td>
<td>3397.25元</td>
<td>3693.05元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>1核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1268.04元</td>
<td>1502.64元</td>
<td>1757.64元</td>
<td>2012.64元</td>
<td>2308.44元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>2核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2097.48元</td>
<td>2332.08元</td>
<td>2587.08元</td>
<td>2842.08元</td>
<td>3137.88元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>4核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>3756.36元</td>
<td>3990.96元</td>
<td>4245.96元</td>
<td>4500.96元</td>
<td>4796.76元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>1核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1563.71元</td>
<td>1798.31元</td>
<td>2053.31元</td>
<td>2308.31元</td>
<td>2604.11元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>2核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2688.82元</td>
<td>2923.42元</td>
<td>3178.42元</td>
<td>3433.42元</td>
<td>3729.22元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>4核32G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>4939.04元</td>
<td>5173.64元</td>
<td>5428.64元</td>
<td>5683.64元</td>
<td>5979.44元</td>
</tr>
</tbody>
</table>
表2：
<table>
<thead>
<tr>
<th>云服务器实例</th>
<th>配置</th>
<th>带宽</th>
<th>系统盘容量</th>
<th>活动价格1年</th>
<th>活动价格2年</th>
<th>活动价格3年</th>
<th>活动价格4年</th>
<th>活动价格5年</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c8y</td>
<td>1核2G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>992.11元</td>
<td>1727.72元</td>
<td>2147.76元</td>
<td>2586.93元</td>
<td>3003.03元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>2核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1545.63元</td>
<td>2650.24元</td>
<td>3231.73元</td>
<td>3755.45元</td>
<td>4233.06元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>4核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2652.65元</td>
<td>4495.28元</td>
<td>5399.65元</td>
<td>6092.51元</td>
<td>6693.12元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>1核4G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1268.04元</td>
<td>2187.60元</td>
<td>2688.12元</td>
<td>3169.44元</td>
<td>3616.20元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>2核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2097.48元</td>
<td>3570.00元</td>
<td>4312.44元</td>
<td>4920.48元</td>
<td>5459.40元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>4核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>3756.36元</td>
<td>6334.80元</td>
<td>7561.08元</td>
<td>8422.56元</td>
<td>9145.80元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>1核8G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>1563.71元</td>
<td>2680.38元</td>
<td>3267.14元</td>
<td>3793.63元</td>
<td>4273.24元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>2核16G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>2688.82元</td>
<td>4555.57元</td>
<td>5470.48元</td>
<td>6168.86元</td>
<td>6773.49元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>4核32G</td>
<td>1M-100M</td>
<td>40G-500G ESSD云盘</td>
<td>4939.04元</td>
<td>8305.93元</td>
<td>9877.16元</td>
<td>10919.32元</td>
<td>11773.97元</td>
</tr>
</tbody>
</table>
说明：以上云服务器是活动报价，是有购买限制的，一般为新用户或者企业用户，或者是产品用户首购，大家可以直接移步官方活动页面查看实际购买条件。 |
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发表于 2024-10-5 22:46:04