阿里云8核8G、8核16G、8核32G、8核64G等8核CPU云服务器收费标准与活动价格分享

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阿里云8核CPU云服务器多少钱？一般来说企业用户选择8核8G和8核16G配置比较多，企业用户通常会选择8核16G以上，例如8核32G、8核64G等。我们在实际购买中会发现，相同cpu核数的云服务器，还有不同的云服务器实例可选，价格差别也比较大，今天小编整理一份阿里云服务器8核CPU活动价格表，供大有参考：






<div class="image-caption">阿里云服务器优势图.png

阿里云服务器核数是指虚拟出来的CPU处理器的核心数量，准确来讲应该是vCPU。CPU核心数的大小代表了云服务器的运算能力，CPU越高，云服务器的性能越好。阿里云服务器1核CPU就是一个超线程，2核CPU2个超线程，4核CPU4个超线程，这样云服务器可以同时处理多个任务，计算性能更强。如果网站流程较小，少量图片展示的企业网站，建议选择2核及以上CPU；如果网站流量较大，动态页面比较多，有视频等，建议选择4核、8核以上CPU。
<h5>一、阿里云8核CPU云服务器可选实例规格及收费标准</h5>
阿里云8核CPU的云服务器除了目前活动中可以看到的通用算力型u1、计算型c7、通用型g7等实例之外，还有共享标准型s6、高主频通用型 hfg7、通用平衡增强型 g6e、计算平衡增强型 c6e、内存平衡增强型 r6e等实例规格可选，cpu与内存搭配的配置有8核8G、8核16G、8核32G和8核64G，具体的可选实例规格及收费标准如下表所示：
<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-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8</td>
<td>864</td>
<td>864</td>
<td>518.4</td>
<td>328.32</td>
<td>328.32</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.404</td>
<td>673.92</td>
<td>673.92</td>
<td>404.35</td>
<td>256.09</td>
<td>256.09</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m8.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>686.88</td>
<td>435.02</td>
<td>435.02</td>
</tr>
<tr>
<td>通用型 ecs.u1-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.335</td>
<td>640.8</td>
<td>640.8</td>
<td>384.48</td>
<td>243.5</td>
<td>243.5</td>
</tr>
<tr>
<td>ARM 内存型 ecs.r8y.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.17035</td>
<td>1041.77</td>
<td>1041.77</td>
<td>750.07</td>
<td>489.63</td>
<td>333.37</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.6</td>
<td>768</td>
<td>768</td>
<td>552.96</td>
<td>360.96</td>
<td>245.76</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.067733</td>
<td>512.51</td>
<td>512.51</td>
<td>369.01</td>
<td>240.88</td>
<td>164</td>
</tr>
<tr>
<td>AMD 内存平衡增强型 ecs.r8ae.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.1005</td>
<td>1488.24</td>
<td>1488.24</td>
<td>1265</td>
<td>818.53</td>
<td>565.53</td>
</tr>
<tr>
<td>AMD 计算平衡增强型 ecs.c8ae.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>718.08</td>
<td>464.64</td>
<td>321.02</td>
</tr>
<tr>
<td>AMD 通用平衡增强型 ecs.g8ae.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.3056</td>
<td>1106.69</td>
<td>1106.69</td>
<td>940.68</td>
<td>608.68</td>
<td>420.54</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.7189</td>
<td>1305.07</td>
<td>1305.07</td>
<td>1109.31</td>
<td>717.79</td>
<td>495.93</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.5488</td>
<td>743.42</td>
<td>743.42</td>
<td>631.91</td>
<td>408.88</td>
<td>282.5</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.0416</td>
<td>979.97</td>
<td>979.97</td>
<td>832.97</td>
<td>538.98</td>
<td>372.39</td>
</tr>
<tr>
<td>内存型 ecs.r8i.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.9241</td>
<td>1403.58</td>
<td>1403.58</td>
<td>1193.04</td>
<td>771.97</td>
<td>533.36</td>
</tr>
<tr>
<td>计算型 ecs.c8i.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.7123</td>
<td>821.92</td>
<td>821.92</td>
<td>698.63</td>
<td>452.06</td>
<td>312.33</td>
</tr>
<tr>
<td>通用型 ecs.g8i.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.1977</td>
<td>1054.87</td>
<td>1054.87</td>
<td>896.64</td>
<td>580.18</td>
<td>400.85</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc8i.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.8836</td>
<td>904.11</td>
<td>904.11</td>
<td>904.11</td>
<td>904.11</td>
<td>904.11</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.316666</td>
<td>1112</td>
<td>1112</td>
<td>945.2</td>
<td>611.6</td>
<td>422.56</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.883333</td>
<td>904</td>
<td>904</td>
<td>768.4</td>
<td>497.2</td>
<td>343.52</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.066666</td>
<td>1472</td>
<td>1472</td>
<td>1251.2</td>
<td>809.6</td>
<td>559.36</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.9</td>
<td>1392</td>
<td>1392</td>
<td>1183.2</td>
<td>765.6</td>
<td>528.96</td>
</tr>
<tr>
<td>通用型 ecs.g7.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.093</td>
<td>1004.64</td>
<td>1004.64</td>
<td>723.34</td>
<td>472.18</td>
<td>321.48</td>
</tr>
<tr>
<td>内存型 ecs.r7.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.784885</td>
<td>1336.74</td>
<td>1336.74</td>
<td>962.46</td>
<td>628.27</td>
<td>427.76</td>
</tr>
<tr>
<td>计算型 ecs.c7.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.630795</td>
<td>782.78</td>
<td>782.78</td>
<td>563.6</td>
<td>367.91</td>
<td>250.49</td>
</tr>
<tr>
<td>安全增强内存型 ecs.r7t.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.144225</td>
<td>1509.23</td>
<td>1509.23</td>
<td>1282.84</td>
<td>830.08</td>
<td>573.51</td>
</tr>
<tr>
<td>安全增强通用型 ecs.g7t.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.415</td>
<td>1159.2</td>
<td>1159.2</td>
<td>985.32</td>
<td>637.56</td>
<td>440.5</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c7t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.881687</td>
<td>903.21</td>
<td>903.21</td>
<td>767.73</td>
<td>496.77</td>
<td>343.22</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c7a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>478.72</td>
<td>309.76</td>
<td>214.02</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g7a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>718.08</td>
<td>464.64</td>
<td>321.02</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r7a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>973.08</td>
<td>629.64</td>
<td>435.02</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn7i-c8g1.2xlarge</td>
<td>8</td>
<td>30</td>
<td>9.5326</td>
<td>4575.66</td>
<td>4575.66</td>
<td>3889.31</td>
<td>2516.61</td>
<td>1738.75</td>
</tr>
<tr>
<td>存储增强内存型 ecs.r7se.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.443675</td>
<td>1652.96</td>
<td>1652.96</td>
<td>1405.02</td>
<td>909.13</td>
<td>628.13</td>
</tr>
<tr>
<td>存储增强计算型 ecs.c7se.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.060895</td>
<td>989.23</td>
<td>989.23</td>
<td>840.85</td>
<td>544.08</td>
<td>375.91</td>
</tr>
<tr>
<td>存储增强通用型 ecs.g7se.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.645</td>
<td>1269.6</td>
<td>1269.6</td>
<td>1079.16</td>
<td>698.28</td>
<td>482.45</td>
</tr>
<tr>
<td>持久内存型 ecs.re7p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.956</td>
<td>1899</td>
<td>1899</td>
<td>1614.15</td>
<td>1044.45</td>
<td>721.62</td>
</tr>
<tr>
<td>内存型 ecs.r7p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.128</td>
<td>1501.5</td>
<td>1501.5</td>
<td>1276.27</td>
<td>825.83</td>
<td>570.57</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4.2xlarge</td>
<td>8</td>
<td>31</td>
<td>3.117701</td>
<td>1496.5</td>
<td>1496.5</td>
<td>1272.02</td>
<td>823.07</td>
<td>568.67</td>
</tr>
<tr>
<td>GPU共享型 ecs.sgn7i-vws-m4s.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.078</td>
<td>1477.37</td>
<td>1477.37</td>
<td>1255.76</td>
<td>812.55</td>
<td>561.4</td>
</tr>
<tr>
<td>计算网络增强型 ecs.c7nex.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.0385</td>
<td>978.48</td>
<td>978.48</td>
<td>831.7</td>
<td>538.16</td>
<td>371.82</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g7nex.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.6162</td>
<td>1255.8</td>
<td>1255.8</td>
<td>1067.43</td>
<td>690.69</td>
<td>477.2</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>通用型 ecs.g6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2</td>
<td>960</td>
<td>960</td>
<td>816</td>
<td>528</td>
<td>364.8</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn6i-c8g1.2xlarge</td>
<td>8</td>
<td>31</td>
<td>14</td>
<td>4032</td>
<td>4032</td>
<td>2016</td>
<td>1290.24</td>
<td>1290.24</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.g6e.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.2</td>
<td>1056</td>
<td>1056</td>
<td>897.6</td>
<td>580.8</td>
<td>401.28</td>
</tr>
<tr>
<td>计算型 ecs.c6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.56</td>
<td>748</td>
<td>748</td>
<td>635.8</td>
<td>411.4</td>
<td>284.24</td>
</tr>
<tr>
<td>内存型 ecs.r6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.65</td>
<td>1272</td>
<td>1272</td>
<td>1081.2</td>
<td>699.6</td>
<td>483.36</td>
</tr>
<tr>
<td>突发性能型 ecs.t6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.889</td>
<td>544</td>
<td>544</td>
<td>462.4</td>
<td>299.2</td>
<td>206.72</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc6.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.791666</td>
<td>860</td>
<td>860</td>
<td>731</td>
<td>473</td>
<td>326.8</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg6.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.2</td>
<td>1056</td>
<td>1056</td>
<td>897.6</td>
<td>580.8</td>
<td>401.28</td>
</tr>
<tr>
<td>高主频内存型 ecs.hfr6.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.916666</td>
<td>1400</td>
<td>1400</td>
<td>1190</td>
<td>770</td>
<td>532</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>720</td>
<td>612</td>
<td>396</td>
<td>273.6</td>
</tr>
<tr>
<td>共享标准型 ecs.s6-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.667</td>
<td>480</td>
<td>480</td>
<td>408</td>
<td>264</td>
<td>182.4</td>
</tr>
<tr>
<td>内存平衡增强型 ecs.r6e.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.917</td>
<td>1400</td>
<td>1400</td>
<td>1190</td>
<td>770</td>
<td>532</td>
</tr>
<tr>
<td>计算平衡增强型 ecs.c6e.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.642</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>安全增强计算型 ecs.c6t.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.691666</td>
<td>812</td>
<td>812</td>
<td>690.2</td>
<td>446.6</td>
<td>308.56</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.95625</td>
<td>1899</td>
<td>1899</td>
<td>1614.15</td>
<td>1044.45</td>
<td>721.62</td>
</tr>
<tr>
<td>持久内存型 ecs.re6p-redis.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.956</td>
<td>1899</td>
<td>1899</td>
<td>1614.15</td>
<td>1044.45</td>
<td>721.62</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c6a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.173</td>
<td>563.2</td>
<td>563.2</td>
<td>478.72</td>
<td>309.76</td>
<td>214.02</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r6a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.385</td>
<td>1144.8</td>
<td>1144.8</td>
<td>973.08</td>
<td>629.64</td>
<td>435.02</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g6a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.76</td>
<td>844.8</td>
<td>844.8</td>
<td>718.08</td>
<td>464.64</td>
<td>321.02</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c6r.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.246666</td>
<td>598.4</td>
<td>598.4</td>
<td>508.64</td>
<td>329.12</td>
<td>227.39</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g6r.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.6</td>
<td>768</td>
<td>768</td>
<td>652.8</td>
<td>422.4</td>
<td>291.84</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>2305.16</td>
<td>1551.55</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5-c4g1.2xlarge</td>
<td>8</td>
<td>60</td>
<td>25.57</td>
<td>7363</td>
<td>7363</td>
<td>6258.55</td>
<td>3828.76</td>
<td>2577.05</td>
</tr>
<tr>
<td>计算型 ecs.c5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.49</td>
<td>716</td>
<td>716</td>
<td>608.6</td>
<td>393.8</td>
<td>272.08</td>
</tr>
<tr>
<td>通用型 ecs.g5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.54</td>
<td>1020</td>
<td>1020</td>
<td>867</td>
<td>561</td>
<td>387.6</td>
</tr>
<tr>
<td>内存型 ecs.r5.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.53</td>
<td>1304</td>
<td>1304</td>
<td>1108.4</td>
<td>717.2</td>
<td>495.52</td>
</tr>
<tr>
<td>高主频计算型 ecs.hfc5.2xlarge</td>
<td>8</td>
<td>16</td>
<td>3.49</td>
<td>1004</td>
<td>1004</td>
<td>833.32</td>
<td>502</td>
<td>331.32</td>
</tr>
<tr>
<td>高主频通用型 ecs.hfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.61</td>
<td>1328</td>
<td>1328</td>
<td>1075.68</td>
<td>650.72</td>
<td>424.96</td>
</tr>
<tr>
<td>GPU计算型 ecs.gn5i-c8g1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>11.67</td>
<td>3360</td>
<td>3192</td>
<td>2520</td>
<td>1512</td>
<td>1008</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m1.2xlarge</td>
<td>8</td>
<td>8</td>
<td>1.16</td>
<td>333</td>
<td>316.35</td>
<td>249.75</td>
<td>149.85</td>
<td>99.9</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.6</td>
<td>462</td>
<td>438.9</td>
<td>346.5</td>
<td>207.9</td>
<td>138.6</td>
</tr>
<tr>
<td>突发性能型 ecs.t5-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.5</td>
<td>720</td>
<td>684</td>
<td>540</td>
<td>324</td>
<td>216</td>
</tr>
<tr>
<td>高主频型弹性裸金属服务器 ecs.ebmhfg5.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.53</td>
<td>1594</td>
<td>1594</td>
<td>1291.14</td>
<td>781.06</td>
<td>510.08</td>
</tr>
<tr>
<td>本地SSD型 ecs.ic5.2xlarge</td>
<td>8</td>
<td>8</td>
<td>2.36</td>
<td>680</td>
<td>680</td>
<td>578</td>
<td>374</td>
<td>258.4</td>
</tr>
<tr>
<td>通用网络增强型 ecs.g5ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.33</td>
<td>1247</td>
<td>1247</td>
<td>1059.95</td>
<td>685.85</td>
<td>473.86</td>
</tr>
<tr>
<td>通用型 ecs.n4.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.83</td>
<td>816</td>
<td>816</td>
<td>693.6</td>
<td>408</td>
<td>408</td>
</tr>
<tr>
<td>通用型 ecs.mn4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>4.3</td>
<td>1240</td>
<td>1240</td>
<td>1054</td>
<td>620</td>
<td>620</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.956</td>
<td>1899</td>
<td>1899</td>
<td>1614.15</td>
<td>1044.45</td>
<td>721.62</td>
</tr>
<tr>
<td>本地SSD型 ecs.i4.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.829166</td>
<td>1838</td>
<td>1838</td>
<td>1562.3</td>
<td>1010.9</td>
<td>698.44</td>
</tr>
<tr>
<td>FPGA计算型 ecs.f3-c8f1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>8.375</td>
<td>4020</td>
<td>4020</td>
<td>3417</td>
<td>2211</td>
<td>4020</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3.2xlarge</td>
<td>8</td>
<td>64</td>
<td>4.117</td>
<td>1976</td>
<td>1976</td>
<td>1679.6</td>
<td>1086.8</td>
<td>750.88</td>
</tr>
<tr>
<td>本地SSD型 ecs.i3g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>2.8</td>
<td>1344</td>
<td>1344</td>
<td>1142.4</td>
<td>739.2</td>
<td>510.72</td>
</tr>
<tr>
<td>大数据存储型 ecs.d3s.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.181064</td>
<td>2486.91</td>
<td>2486.91</td>
<td>2113.87</td>
<td>1367.8</td>
<td>945.03</td>
</tr>
<tr>
<td>ecs.sn2ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.97</td>
<td>1144</td>
<td>1144</td>
<td>972.4</td>
<td>629.2</td>
<td>434.72</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.77</td>
<td>1808</td>
<td>1808</td>
<td>1536.8</td>
<td>994.4</td>
<td>687.04</td>
</tr>
<tr>
<td>本地SSD型 ecs.i2g.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.073</td>
<td>1475</td>
<td>1475</td>
<td>1253.75</td>
<td>811.25</td>
<td>1475</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>3.948</td>
<td>1898.4</td>
<td>1898.4</td>
<td>1613.64</td>
<td>1044.12</td>
<td>721.39</td>
</tr>
<tr>
<td>本地SSD网络增强型 ecs.i2gne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.227</td>
<td>1549</td>
<td>1549</td>
<td>1316.65</td>
<td>851.95</td>
<td>588.62</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1.2xlarge</td>
<td>8</td>
<td>64</td>
<td>6.14</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>732</td>
<td>732</td>
</tr>
<tr>
<td>本地SSD型 ecs.i1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>5.89</td>
<td>1298</td>
<td>1233.1</td>
<td>973.5</td>
<td>584.1</td>
<td>389.4</td>
</tr>
<tr>
<td>大数据型 ecs.d1.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.36</td>
<td>1833</td>
<td>1741.35</td>
<td>1374.75</td>
<td>824.85</td>
<td>549.9</td>
</tr>
<tr>
<td>ecs.sn1ne.2xlarge</td>
<td>8</td>
<td>16</td>
<td>2.74</td>
<td>788</td>
<td>788</td>
<td>669.8</td>
<td>433.4</td>
<td>299.44</td>
</tr>
<tr>
<td>存储增强内存型 ecs.se1ne.2xlarge</td>
<td>8</td>
<td>64</td>
<td>5.08</td>
<td>1464</td>
<td>1464</td>
<td>1244.4</td>
<td>805.2</td>
<td>556.32</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.2xlarge</td>
<td>8</td>
<td>32</td>
<td>6.68</td>
<td>1925</td>
<td>1828.75</td>
<td>1443.75</td>
<td>866.25</td>
<td>577.5</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.e-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.35</td>
<td>648</td>
<td>648</td>
<td>486</td>
<td>311.04</td>
<td>246.24</td>
</tr>
<tr>
<td>通用平衡增强型 ecs.e-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>0.9</td>
<td>432</td>
<td>432</td>
<td>324</td>
<td>207.36</td>
<td>164.16</td>
</tr>
</tbody>
</table>
<h5>二、阿里云8核CPU云服务器活动价格表</h5>
目前阿里云活动中8核CPU的云服务器有经济型e实例8核16G、8核32G；通用算力型u1实例8核8G、8核16G、8核32G、8核64G；计算型c7和c8y实例8核16G；通用型g7和g8y实例8核32G；内存型r7和r8y实例8核64G，具体活动价格表如下：
<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>活动价格（按量带宽）</th>
<th>活动价格（固定带宽1M）</th>
<th>活动价格（固定带宽2M）</th>
<th>活动价格（固定带宽3M）</th>
<th>活动价格（固定带宽4M）</th>
<th>活动价格（固定带宽5M）</th>
</tr>
</thead>
<tbody>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>1M-100M</td>
<td>20G ESSD Entry</td>
<td>2849.76元</td>
<td>3084.36元</td>
<td>3318.96元</td>
<td>3573.96元</td>
<td>3828.96元</td>
<td>4124.76元</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核32G</td>
<td>1M-100M</td>
<td>20G ESSD Entry</td>
<td>4249.44元</td>
<td>4484.04元</td>
<td>4718.64元</td>
<td>4973.64元</td>
<td>5228.64元</td>
<td>5524.44元</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>1M-100M</td>
<td>20G ESSD</td>
<td>2943.36元</td>
<td>3177.96元</td>
<td>3412.56元</td>
<td>3667.56元</td>
<td>3922.56元</td>
<td>4218.36元</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核32G</td>
<td>1M-100M</td>
<td>20G ESSD</td>
<td>4343.04元</td>
<td>4577.64元</td>
<td>4812.24元</td>
<td>5067.24元</td>
<td>5322.24元</td>
<td>5618.04元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核8G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>3212.64元</td>
<td>3447.24元</td>
<td>3681.84元</td>
<td>3936.84元</td>
<td>4191.84元</td>
<td>4487.64元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>3440.74元</td>
<td>3675.34元</td>
<td>3909.94元</td>
<td>4164.94元</td>
<td>4419.94元</td>
<td>4715.74元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>4404.96元</td>
<td>4639.56元</td>
<td>4874.16元</td>
<td>5129.16元</td>
<td>5384.16元</td>
<td>5679.96元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>20G ESSD Entry</td>
<td>5742.43元</td>
<td>5977.03元</td>
<td>6211.63元</td>
<td>6466.63元</td>
<td>6721.63元</td>
<td>7017.43元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核8G</td>
<td>1M-5M</td>
<td>20G ESSD</td>
<td>3306.24元</td>
<td>3540.84元</td>
<td>3775.44元</td>
<td>4030.44元</td>
<td>4285.44元</td>
<td>4581.24元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>20G ESSD</td>
<td>3534.34元</td>
<td>3768.94元</td>
<td>4003.54元</td>
<td>4258.54元</td>
<td>4513.54元</td>
<td>4809.34元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>20G ESSD</td>
<td>4498.56元</td>
<td>4733.16元</td>
<td>4967.76元</td>
<td>5222.76元</td>
<td>5477.76元</td>
<td>5773.56元</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>20G ESSD</td>
<td>5836.03元</td>
<td>6070.63元</td>
<td>6305.23元</td>
<td>6560.23元</td>
<td>6815.23元</td>
<td>7111.03元</td>
</tr>
<tr>
<td>计算型c7</td>
<td>8核16G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>5889.58元</td>
<td>6124.18元</td>
<td>6358.78元</td>
<td>6613.78元</td>
<td>6868.78元</td>
<td>7164.58元</td>
</tr>
<tr>
<td>通用型g7</td>
<td>8核32G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>7501.00元</td>
<td>7735.60元</td>
<td>7970.20元</td>
<td>8225.20元</td>
<td>8480.20元</td>
<td>8776.00元</td>
</tr>
<tr>
<td>内存型r7</td>
<td>8核64G</td>
<td>1M-5M</td>
<td>40G ESSD</td>
<td>9938.95元</td>
<td>10173.55元</td>
<td>10408.15元</td>
<td>10663.15元</td>
<td>10918.15元</td>
<td>11213.95元</td>
</tr>
<tr>
<td>计算型c8y</td>
<td>8核16G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>3967.89元</td>
<td>4202.49元</td>
<td>4437.09元</td>
<td>4692.09元</td>
<td>4947.09元</td>
<td>5242.89元</td>
</tr>
<tr>
<td>通用型g8y</td>
<td>8核32G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>6839.52元</td>
<td>7074.12元</td>
<td>7308.72元</td>
<td>7563.72元</td>
<td>7818.72元</td>
<td>8114.52元</td>
</tr>
<tr>
<td>内存型r8y</td>
<td>8核64G</td>
<td>1M-100M</td>
<td>40G ESSD</td>
<td>9204.88元</td>
<td>9439.48元</td>
<td>9674.08元</td>
<td>9929.08元</td>
<td>10184.08元</td>
<td>10479.88元</td>
</tr>
</tbody>
</table>

购买活动直达：
1、阿里云服务器新人特惠：可购买阿里云最新活动云服务器。
2、阿里云活动中心：可查询阿里云实时活动及免费领取各种优惠券与代金券。
<h5>三、阿里云服务器CPU与内存选择建议</h5>

1、CPU核心数选择：
一般小型网站，如个人网站、中小型企业网站等，使用2核已经足够。而一些并发数据较多，中等网站的，使用4核大多能满足。像商城类、大型门户等，建议使用8核、16核及以上。

2、内存选择建议
内存-决定网站打开速度  内存是数据的中转站，也是决定网站打开速度的重要因素。内存越大，可用缓存越大，打开速度也就越快。可以根据网站的规模选择合适的配置，一般应用选择1G内存，超过50g的硬盘配置是足够的。如果对云服务器租用配置要求较高，你可以选择4G内存以上，建议和CPU同比例增长，比如1核选2G内存，2核选4G内存，4核选8G内存，8核选16G内存，大多数服务可以按这样来算，除了特殊性应用场景除外。
<h5>四、阿里云服务器实例规格选择建议</h5>

1、轻量应用服务器：属于轻量及云服务器产品，适用于各种轻负载场景，例如个人博客，企业展示型官网等。
2、经济型e实例：适用于Web应用及网站，企业办公类应用，数据分析和计算等大多数通用的对vCPU算力和性能要求不高的应用场景。
3、通用算力型u1实例：适用于Web应用及网站，企业办公类应用，数据分析和计算等大多数通用的对vCPU算力和性能要求不高的应用场景。
4、计算型c7、通用型g7、内存型r7实例：适用于企业级通用应用，视频编解码，游戏开发，高网络包收发场景，网站和应用服务器，中小型数据库系统、搜索集群等。
5、计算型c8y、通用型g8y、内存型r8y实例：适用于网站应用、各种类型和规模的企业级应用和容器、微服务、视频编解码、高性能计算、基于CPU的机器学习等场景的应用。