阿里云服务器最新租用价格 2023年最新收费标准与券后活动价格表

00095822 发表于 2024-10-5 22:53:04

2023租用阿里云服务器一年多少钱？阿里云服务器价格由云服务器配置、实例规格、、云盘、带宽等组成，不同时期阿里云服务器的租用价格不同，随着2023年阿里云双11活动与满减优惠券活动的推出，阿里云服务器活动价格也再一次更新，轻量应用服务器2核2G 87元1年，每天只需0.23元，2核4G 165元1年，每天不到5毛钱；云服务器2核2G低至99元1年，每天花费约0.27元，更多配置的阿里云服务器价格表见下文。

https://upload-images.jianshu.io/upload_images/19316870-da8ea9c5da3d5ea3.png

<div class="image-caption">阿里云2023双11大图.png

目前阿里云2023年双11活动中的云服务器有轻量应用服务器和经济型e、通用算力型u1、计算型c7/c8i、通用型g7/g8i等实例云服务器，配置也是用户购买较多的2核2G、2核4G、2核8G、4核8G、4核16G、8核16G等热门配置，其中轻量应用服务器2核2G 50GB 高效云盘 4M带宽双11活动价格为87元1年，2核4G 60GB 高效云盘 4M带宽，双11活动价格为165元1年。经济型e实例2核2G 3M固定带宽 40G ESSD Entry云盘，双11活动价格为99元1年，现在购买还享99元1年续费价格，最长可续费3次。2核8G配置券后最低价格为727.39元/1年，4核8G配置券后最低价格为943.26元/1年，8核16G配置券后最低价格为2784.36元/1年。在实际购买中选择不同的带宽及云盘，可使用的优惠券及活动价格也不一样，详细配置及价格表见下文。
<h2>一、阿里云服务器2023最新购买优惠政策解析</h2>

1、满减优惠券，最高减免2400元
目前购买阿里云服务器首先可获得3360元和5580元满减优惠券，3360元优惠券为个人开发者可领取，用户领券之后再购买最低能减免30元，最高能减免1500元。5580元满减优惠券为企业用户专享，企业用户领券之后再购买最低能减免60元，最高能减免2400元。满加优惠券领取地址：阿里云官方云小站平台

https://upload-images.jianshu.io/upload_images/19316870-3e96be08ce7f7d73.png

<div class="image-caption">云小站代金券图.png

2、云服务器新购折扣
新用户新购轻量应用服务器2核2G享1.21折优惠，新购轻量应用服务器2核4G享1.72折优惠。新老用户新购经济型e实例2核2G3M带宽云服务器享新购和续费99元/年超低特价，新购其他配置的经济型e实例云服务器享2.7折优惠。新老用户新购通用算力型u1、计算型c7和通用型g7实例云服务器享3.8折优惠。新老用户新购计算型c8i和通用型g8i实例云服务器享7折优惠。
<h2>二、阿里云经济型e实例云服务器活动价格与券后价格表</h2>
经济型e实例除了2核2G3M带宽新购和续费99元1年之外，还有2核4G、4核8G、8核16G配置可选，系统盘20G-40G ESSD Entry或ESSD云盘可选，带宽最大可选5M。具体价格表如下：
<table>
<thead>
<tr>
<th>云服务器型号</th>
<th>配置</th>
<th>系统盘容量</th>
<th>带宽</th>
<th>日常价</th>
<th>活动价格</th>
<th>可使用满减优惠券金额</th>
<th>券后价格参考</th>
</tr>
</thead>
<tbody>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>1M</td>
<td>1526.40元</td>
<td>599.93元/1年</td>
<td>30元</td>
<td>569.93元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>2M</td>
<td>1802.40元</td>
<td>834.53元/1年</td>
<td>80元</td>
<td>754.53元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>3M</td>
<td>2102.40元</td>
<td>1089.53元/1年</td>
<td>80元</td>
<td>1009.53元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>4M</td>
<td>2402.40元</td>
<td>1344.53元/1年</td>
<td>80元</td>
<td>1264.53元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>5M</td>
<td>2750.40元</td>
<td>1640.33元/1年</td>
<td>150元</td>
<td>1490.33元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>1562.40元</td>
<td>621.53元/1年</td>
<td>30元</td>
<td>591.53元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>1838.40元</td>
<td>856.13元/1年</td>
<td>80元</td>
<td>776.13元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>2138.40元</td>
<td>1111.13元/1年</td>
<td>80元</td>
<td>1031.13元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>4M</td>
<td>2438.40元</td>
<td>1366.13元/1年</td>
<td>80元</td>
<td>1286.13元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>5M</td>
<td>2786.40元</td>
<td>1661.93元/1年</td>
<td>150元</td>
<td>1511.93元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>1M</td>
<td>2109.60元</td>
<td>697.39元/1年</td>
<td>30元</td>
<td>727.39元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>2M</td>
<td>2385.60元</td>
<td>831.99元/1年</td>
<td>80元</td>
<td>911.99元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>3M</td>
<td>2685.60元</td>
<td>1086.99元/1年</td>
<td>80元</td>
<td>1166.99元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>4M</td>
<td>2985.60元</td>
<td>1201.99元/1年</td>
<td>150元</td>
<td>1351.99元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>5M</td>
<td>3333.60元</td>
<td>1497.79元/1年</td>
<td>150元</td>
<td>1647.79元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>2145.60元</td>
<td>718.99元/1年</td>
<td>30元</td>
<td>748.99元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>2421.60元</td>
<td>853.59元/1年</td>
<td>80元</td>
<td>933.59元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>2721.60元</td>
<td>1108.59元/1年</td>
<td>80元</td>
<td>1188.59元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>4M</td>
<td>3021.60元</td>
<td>1223.59元/1年</td>
<td>150元</td>
<td>1373.59元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>5M</td>
<td>3369.60元</td>
<td>1519.39元/1年</td>
<td>150元</td>
<td>1669.39元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>1M</td>
<td>2692.80元</td>
<td>1023.26元/1年</td>
<td>80元</td>
<td>943.26元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>2M</td>
<td>2968.80元</td>
<td>1128.14元/1年</td>
<td>80元</td>
<td>1048.14元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>3M</td>
<td>3268.80元</td>
<td>1242.14元/1年</td>
<td>80元</td>
<td>1162.14元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>4M</td>
<td>3568.80元</td>
<td>2429.28元/1年</td>
<td>150元</td>
<td>2279.28元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>5M</td>
<td>3916.80元</td>
<td>2725.08元/1年</td>
<td>150元</td>
<td>2575.08元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>2728.80元</td>
<td>1706.28元/1年</td>
<td>150元</td>
<td>1556.28元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>3004.80元</td>
<td>1940.88元/1年</td>
<td>150元</td>
<td>1790.88元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>3304.80元</td>
<td>2195.88元/1年</td>
<td>150元</td>
<td>2045.88元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>4M</td>
<td>3604.80元</td>
<td>2450.88元/1年</td>
<td>150元</td>
<td>2300.88元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>5M</td>
<td>3952.80元</td>
<td>2746.68元/1年</td>
<td>150元</td>
<td>2596.68元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD Entry</td>
<td>1M</td>
<td>5025.60元</td>
<td>3084.36元/1年</td>
<td>300元</td>
<td>2784.36元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD Entry</td>
<td>2M</td>
<td>5301.60元</td>
<td>3318.96元/1年</td>
<td>300元</td>
<td>3018.96元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD Entry</td>
<td>3M</td>
<td>5601.60元</td>
<td>3573.96元/1年</td>
<td>300元</td>
<td>3273.96元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD Entry</td>
<td>4M</td>
<td>5901.60元</td>
<td>3828.96元/1年</td>
<td>300元</td>
<td>3528.96元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD Entry</td>
<td>5M</td>
<td>6249.60元</td>
<td>4124.76元/1年</td>
<td>300元</td>
<td>3824.76元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>5061.60元</td>
<td>3105.96元/1年</td>
<td>300元</td>
<td>2805.96元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>5337.60元</td>
<td>3340.56元/1年</td>
<td>300元</td>
<td>3040.56元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>5637.60元</td>
<td>3595.56元/1年</td>
<td>300元</td>
<td>3295.56元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD</td>
<td>4M</td>
<td>5937.60元</td>
<td>3850.56元/1年</td>
<td>300元</td>
<td>3550.56元/1年</td>
</tr>
<tr>
<td>经济型e</td>
<td>8核16G</td>
<td>20G ESSD</td>
<td>5M</td>
<td>6285.60元</td>
<td>4146.36元/1年</td>
<td>300元</td>
<td>3846.36元/1年</td>
</tr>
</tbody>
</table>
<h2>三、阿里云通用算力型u1实例云服务器活动价格与券后价格表</h2>
通用算力型u1实例有2核4G、2核8G、4核8G配置可选，系统盘20G-40G ESSD Entry云盘可选，带宽最大可选3M。具体价格表如下：
<table>
<thead>
<tr>
<th>云服务器型号</th>
<th>配置</th>
<th>系统盘容量</th>
<th>带宽</th>
<th>日常价</th>
<th>活动价格</th>
<th>可使用满减优惠券金额</th>
<th>券后价格参考</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>1M</td>
<td>1772.64元</td>
<td>673.60元/1年</td>
<td>30元</td>
<td>643.60元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>2M</td>
<td>2048.64元</td>
<td>778.48元/1年</td>
<td>30元</td>
<td>748.48元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核4G</td>
<td>20G ESSD Entry</td>
<td>3M</td>
<td>2348.64元</td>
<td>892.48元/1年</td>
<td>80元</td>
<td>812.48元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>1M</td>
<td>2174.40元</td>
<td>826.27元/1年</td>
<td>60元</td>
<td>766.27元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>2M</td>
<td>2450.40元</td>
<td>931.15元/1年</td>
<td>60元</td>
<td>871.15元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>2核8G</td>
<td>20G ESSD Entry</td>
<td>3M</td>
<td>2750.40元</td>
<td>1045.15元/1年</td>
<td>120元</td>
<td>925.15元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>1M</td>
<td>3185.28元</td>
<td>1210.41元/1年</td>
<td>80元</td>
<td>1130.41元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>2M</td>
<td>3461.28元</td>
<td>1315.29元/1年</td>
<td>80元</td>
<td>1235.29元/1年</td>
</tr>
<tr>
<td>通用算力型u1</td>
<td>4核8G</td>
<td>20G ESSD Entry</td>
<td>3M</td>
<td>3761.28元</td>
<td>1429.29元/1年</td>
<td>80元</td>
<td>1349.29元/1年</td>
</tr>
</tbody>
</table>
<h2>四、七代实例计算型c7与通用型g7云服务器活动价格与券后价格表</h2>
计算型c7实例有2核4G配置可选，通用型g7实例有2核8G配置可选，系统盘20G-40G ESSD云盘可选，带宽最大可选3M。具体价格表如下：
<table>
<thead>
<tr>
<th>云服务器型号</th>
<th>配置</th>
<th>系统盘容量</th>
<th>带宽</th>
<th>日常价</th>
<th>活动价格</th>
<th>可使用满减优惠券金额</th>
<th>券后价格参考</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>2486.29元</td>
<td>944.79元/1年</td>
<td>60元</td>
<td>884.79元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>2762.29元</td>
<td>1049.67元/1年</td>
<td>120元</td>
<td>929.67元/1年</td>
</tr>
<tr>
<td>计算型c7</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>3062.29元</td>
<td>1163.67元/1年</td>
<td>120元</td>
<td>1043.67元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>3078.72元</td>
<td>1169.91元/1年</td>
<td>120元</td>
<td>1049.91元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>3354.72元</td>
<td>1274.79元/1年</td>
<td>120元</td>
<td>1154.79元/1年</td>
</tr>
<tr>
<td>通用型g7</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>3654.72元</td>
<td>1388.79元/1年</td>
<td>120元</td>
<td>1268.79元/1年</td>
</tr>
</tbody>
</table>
<h2>五、八代实例计算型c8i与通用型g8i云服务器活动价格与券后价格表</h2>
计算型c8i实例有2核4G和4核8G配置可选，通用型g8i实例有2核8G和4核16G配置可选，系统盘20G-40G ESSD云盘可选，带宽最大可选3M。具体价格表如下：
<table>
<thead>
<tr>
<th>云服务器型号</th>
<th>配置</th>
<th>系统盘容量</th>
<th>带宽</th>
<th>日常价</th>
<th>活动价格</th>
<th>可使用满减优惠券金额</th>
<th>券后价格参考</th>
</tr>
</thead>
<tbody>
<tr>
<td>计算型c8i</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>2615.18元</td>
<td>1830.63元/1年</td>
<td>120元</td>
<td>1710.63元/1年</td>
</tr>
<tr>
<td>计算型c8i</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>2891.18元</td>
<td>2023.83元/1年</td>
<td>240元</td>
<td>1783.83元/1年</td>
</tr>
<tr>
<td>计算型c8i</td>
<td>2核4G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>3191.18元</td>
<td>2233.83元/1年</td>
<td>240元</td>
<td>1993.83元/1年</td>
</tr>
<tr>
<td>计算型c8i</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>4834.37元</td>
<td>3384.06元/1年</td>
<td>240元</td>
<td>3144.06元/1年</td>
</tr>
<tr>
<td>计算型c8i</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>5110.37元</td>
<td>3577.26元/1年</td>
<td>240元</td>
<td>3337.26元/1年</td>
</tr>
<tr>
<td>计算型c8i</td>
<td>4核8G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>5410.37元</td>
<td>3787.26元/1年</td>
<td>240元</td>
<td>3547.26元/1年</td>
</tr>
<tr>
<td>通用型g8i</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>3244.15元</td>
<td>2270.90元/1年</td>
<td>240元</td>
<td>2030.90元/1年</td>
</tr>
<tr>
<td>通用型g8i</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>3520.15元</td>
<td>2464.10元/1年</td>
<td>240元</td>
<td>2224.10元/1年</td>
</tr>
<tr>
<td>通用型g8i</td>
<td>2核8G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>3820.15元</td>
<td>2674.10元/1年</td>
<td>240元</td>
<td>2434.10元/1年</td>
</tr>
<tr>
<td>通用型g8i</td>
<td>4核16G</td>
<td>20G ESSD</td>
<td>1M</td>
<td>6092.30元</td>
<td>4264.61元/1年</td>
<td>240元</td>
<td>4024.61元/1年</td>
</tr>
<tr>
<td>通用型g8i</td>
<td>4核16G</td>
<td>20G ESSD</td>
<td>2M</td>
<td>6368.30元</td>
<td>4457.81元/1年</td>
<td>240元</td>
<td>4217.81元/1年</td>
</tr>
<tr>
<td>通用型g8i</td>
<td>4核16G</td>
<td>20G ESSD</td>
<td>3M</td>
<td>6668.30元</td>
<td>4667.81元/1年</td>
<td>240元</td>
<td>4427.81元/1年</td>
</tr>
</tbody>
</table>
以上云服务器为最终的购买价格，更多阿里云服务器双11活动价格可通过官方活动查询及购买：阿里云服务器新人特惠活动
<h2>六、阿里云服务器租用价格计算器</h2>
上文所介绍的阿里云服务器租用价格为热门配置的最新的活动价格与券后价格，如果您需要租用的云服务器配置不在上文所介绍的租用价格表内，那么你可以通过阿里云服务器租用价格计算器查询实时的租用价格，在阿里云服务器ECS页面，可以看到“价格计算器”，如下图：

https://upload-images.jianshu.io/upload_images/19316870-5314e48933b9f21b.png

<div class="image-caption">云服务器ECS进入图.png

点击价格计算器，选择云服务器地域、可用区、实例规格、操作系统、系统盘、数据盘、带宽及购买时长，阿里云服务器租用价格计算器可以自动计算出费用明细，包括总价和优惠后的价格情况，如下图：

https://upload-images.jianshu.io/upload_images/19316870-b5ac8c9979a92441.png

<div class="image-caption">云服务器租用价格预估图.png

<h2>七、阿里云服务器价格费用（原价官方定价）</h2>
阿里云服务器价格组成包括：ECS实例规格+CPU内存配置+公网带宽+磁盘存储。

[*]ECS实例规格：阿里云服务器ECS实例规格包括计算型c6、共享标准型s6、GPU服务器等规格，ECS实例规格不同，CPU内存配置相同价格也不同；CPU内存配置：几核几G，如2核4、4核8G、2核8G、8核16G、4核16G等配置；
[*]公网带宽：云服务器对外提供服务需要购买公网带宽，带宽价格一般为23元/Mbps/月；
[*]磁盘存储：云服务器磁盘，如服务器系统盘或数据盘，磁盘类型分为高效云盘、SSD云盘等。

下面是阿里云服务器不同实例规格和不同CPU内存配置的最新收费标准参考：
<table>
<thead>
<tr>
<th>实例规格</th>
<th>vCPUs</th>
<th>内存(GiB)</th>
<th>按量(小时)</th>
<th>标准目录月价</th>
<th>优惠月价</th>
<th>年付月价</th>
<th>3年付月价</th>
<th>5年付月价</th>
</tr>
</thead>
<tbody>
<tr>
<td>通用算力型 ecs.u1-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>通用算力型 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>ARM 通用型 ecs.g8y.small</td>
<td>1</td>
<td>4</td>
<td>0.18</td>
<td>86.4</td>
<td>86.4</td>
<td>58.75</td>
<td>38.02</td>
<td>25.92</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.large</td>
<td>2</td>
<td>8</td>
<td>0.36</td>
<td>172.8</td>
<td>172.8</td>
<td>117.5</td>
<td>76.03</td>
<td>51.84</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.72</td>
<td>345.6</td>
<td>345.6</td>
<td>235.01</td>
<td>152.06</td>
<td>103.68</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.44</td>
<td>691.2</td>
<td>691.2</td>
<td>470.02</td>
<td>304.13</td>
<td>207.36</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.4xlarge</td>
<td>16</td>
<td>64</td>
<td>2.88</td>
<td>1382.4</td>
<td>1382.4</td>
<td>940.03</td>
<td>608.26</td>
<td>414.72</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.8xlarge</td>
<td>32</td>
<td>128</td>
<td>5.76</td>
<td>2764.8</td>
<td>2764.8</td>
<td>1880.06</td>
<td>1216.51</td>
<td>829.44</td>
</tr>
<tr>
<td>ARM 通用型 ecs.g8y.16xlarge</td>
<td>64</td>
<td>256</td>
<td>11.52</td>
<td>5529.6</td>
<td>5529.6</td>
<td>3760.13</td>
<td>2433.02</td>
<td>1658.88</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.small</td>
<td>1</td>
<td>2</td>
<td>0.12012</td>
<td>57.66</td>
<td>57.66</td>
<td>39.21</td>
<td>25.37</td>
<td>17.3</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.large</td>
<td>2</td>
<td>4</td>
<td>0.24024</td>
<td>115.32</td>
<td>115.32</td>
<td>78.41</td>
<td>50.74</td>
<td>34.59</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.48048</td>
<td>230.63</td>
<td>230.63</td>
<td>156.83</td>
<td>101.48</td>
<td>69.19</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.2xlarge</td>
<td>8</td>
<td>16</td>
<td>0.96096</td>
<td>461.26</td>
<td>461.26</td>
<td>313.66</td>
<td>202.95</td>
<td>138.38</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.4xlarge</td>
<td>16</td>
<td>32</td>
<td>1.92192</td>
<td>922.52</td>
<td>922.52</td>
<td>627.31</td>
<td>405.91</td>
<td>276.76</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.8xlarge</td>
<td>32</td>
<td>64</td>
<td>3.84384</td>
<td>1845.04</td>
<td>1845.04</td>
<td>1254.63</td>
<td>811.82</td>
<td>553.51</td>
</tr>
<tr>
<td>ARM 计算型 ecs.c8y.16xlarge</td>
<td>64</td>
<td>128</td>
<td>7.68768</td>
<td>3690.09</td>
<td>3690.09</td>
<td>2509.26</td>
<td>1623.64</td>
<td>1107.03</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.large</td>
<td>2</td>
<td>16</td>
<td>0.6118</td>
<td>293.64</td>
<td>293.64</td>
<td>249.59</td>
<td>161.5</td>
<td>111.58</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.xlarge</td>
<td>4</td>
<td>32</td>
<td>1.2235</td>
<td>587.28</td>
<td>587.28</td>
<td>499.19</td>
<td>323.01</td>
<td>223.17</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.447</td>
<td>1174.56</td>
<td>1174.56</td>
<td>998.38</td>
<td>646.01</td>
<td>446.33</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.4xlarge</td>
<td>16</td>
<td>128</td>
<td>4.894</td>
<td>2349.13</td>
<td>2349.13</td>
<td>1996.76</td>
<td>1292.02</td>
<td>892.67</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.8xlarge</td>
<td>32</td>
<td>256</td>
<td>9.788</td>
<td>4698.26</td>
<td>4698.26</td>
<td>3993.52</td>
<td>2584.04</td>
<td>1785.34</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.12xlarge</td>
<td>48</td>
<td>384</td>
<td>14.6821</td>
<td>7047.39</td>
<td>7047.39</td>
<td>5990.28</td>
<td>3876.06</td>
<td>2678.01</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.16xlarge</td>
<td>64</td>
<td>512</td>
<td>19.5761</td>
<td>9396.52</td>
<td>9396.52</td>
<td>7987.04</td>
<td>5168.09</td>
<td>3570.68</td>
</tr>
<tr>
<td>AMD 内存型 ecs.r8a.24xlarge</td>
<td>96</td>
<td>768</td>
<td>29.3641</td>
<td>14094.78</td>
<td>14094.78</td>
<td>11980.56</td>
<td>7752.13</td>
<td>5356.02</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.large</td>
<td>2</td>
<td>4</td>
<td>0.3485</td>
<td>167.27</td>
<td>167.27</td>
<td>142.18</td>
<td>92</td>
<td>63.56</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.697</td>
<td>334.54</td>
<td>334.54</td>
<td>284.36</td>
<td>184</td>
<td>127.13</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.3939</td>
<td>669.08</td>
<td>669.08</td>
<td>568.72</td>
<td>368</td>
<td>254.25</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.4xlarge</td>
<td>16</td>
<td>32</td>
<td>2.7878</td>
<td>1338.16</td>
<td>1338.16</td>
<td>1137.44</td>
<td>735.99</td>
<td>508.5</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.8xlarge</td>
<td>32</td>
<td>64</td>
<td>5.5757</td>
<td>2676.33</td>
<td>2676.33</td>
<td>2274.88</td>
<td>1471.98</td>
<td>1017</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.12xlarge</td>
<td>48</td>
<td>96</td>
<td>8.3635</td>
<td>4014.49</td>
<td>4014.49</td>
<td>3412.32</td>
<td>2207.97</td>
<td>1525.51</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.16xlarge</td>
<td>64</td>
<td>128</td>
<td>11.1514</td>
<td>5352.65</td>
<td>5352.65</td>
<td>4549.76</td>
<td>2943.96</td>
<td>2034.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.24xlarge</td>
<td>96</td>
<td>192</td>
<td>16.727</td>
<td>8028.98</td>
<td>8028.98</td>
<td>6824.63</td>
<td>4415.94</td>
<td>3051.01</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.32xlarge</td>
<td>128</td>
<td>256</td>
<td>22.3027</td>
<td>10705.31</td>
<td>10705.31</td>
<td>9099.51</td>
<td>5887.92</td>
<td>4068.02</td>
</tr>
<tr>
<td>AMD 计算型 ecs.c8a.48xlarge</td>
<td>192</td>
<td>384</td>
<td>33.4541</td>
<td>16057.96</td>
<td>16057.96</td>
<td>13649.26</td>
<td>8831.88</td>
<td>6102.02</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.large</td>
<td>2</td>
<td>8</td>
<td>0.4594</td>
<td>220.49</td>
<td>220.49</td>
<td>187.42</td>
<td>121.27</td>
<td>83.79</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9187</td>
<td>440.99</td>
<td>440.99</td>
<td>374.84</td>
<td>242.54</td>
<td>167.57</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.8374</td>
<td>881.97</td>
<td>881.97</td>
<td>749.68</td>
<td>485.08</td>
<td>335.15</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.6749</td>
<td>1763.94</td>
<td>1763.94</td>
<td>1499.35</td>
<td>970.17</td>
<td>670.3</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.3498</td>
<td>3527.88</td>
<td>3527.88</td>
<td>2998.7</td>
<td>1940.34</td>
<td>1340.6</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.12xlarge</td>
<td>48</td>
<td>192</td>
<td>11.0246</td>
<td>5291.83</td>
<td>5291.83</td>
<td>4498.05</td>
<td>2910.5</td>
<td>2010.89</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.16xlarge</td>
<td>64</td>
<td>256</td>
<td>14.6995</td>
<td>7055.77</td>
<td>7055.77</td>
<td>5997.4</td>
<td>3880.67</td>
<td>2681.19</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.24xlarge</td>
<td>96</td>
<td>384</td>
<td>22.0493</td>
<td>10583.65</td>
<td>10583.65</td>
<td>8996.11</td>
<td>5821.01</td>
<td>4021.79</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.32xlarge</td>
<td>128</td>
<td>512</td>
<td>29.399</td>
<td>14111.54</td>
<td>14111.54</td>
<td>11994.81</td>
<td>7761.35</td>
<td>5362.38</td>
</tr>
<tr>
<td>AMD 通用型 ecs.g8a.48xlarge</td>
<td>192</td>
<td>768</td>
<td>44.0986</td>
<td>21167.31</td>
<td>21167.31</td>
<td>17992.21</td>
<td>11642.02</td>
<td>8043.58</td>
</tr>
<tr>
<td>内存型 ecs.r8i.large</td>
<td>2</td>
<td>16</td>
<td>0.6579</td>
<td>315.81</td>
<td>315.81</td>
<td>268.44</td>
<td>173.69</td>
<td>120.01</td>
</tr>
<tr>
<td>内存型 ecs.r8i.2xlarge</td>
<td>8</td>
<td>64</td>
<td>2.6317</td>
<td>1263.22</td>
<td>1263.22</td>
<td>1073.74</td>
<td>694.77</td>
<td>480.03</td>
</tr>
<tr>
<td>内存型 ecs.r8i.3xlarge</td>
<td>12</td>
<td>96</td>
<td>3.9476</td>
<td>1894.84</td>
<td>1894.84</td>
<td>1610.61</td>
<td>1042.16</td>
<td>720.04</td>
</tr>
<tr>
<td>内存型 ecs.r8i.4xlarge</td>
<td>16</td>
<td>128</td>
<td>5.2634</td>
<td>2526.45</td>
<td>2526.45</td>
<td>2147.48</td>
<td>1389.55</td>
<td>960.05</td>
</tr>
<tr>
<td>内存型 ecs.r8i.6xlarge</td>
<td>24</td>
<td>192</td>
<td>7.8952</td>
<td>3789.67</td>
<td>3789.67</td>
<td>3221.22</td>
<td>2084.32</td>
<td>1440.08</td>
</tr>
<tr>
<td>内存型 ecs.r8i.8xlarge</td>
<td>32</td>
<td>256</td>
<td>10.5269</td>
<td>5052.9</td>
<td>5052.9</td>
<td>4294.96</td>
<td>2779.09</td>
<td>1920.1</td>
</tr>
<tr>
<td>内存型 ecs.r8i.12xlarge</td>
<td>48</td>
<td>384</td>
<td>15.7903</td>
<td>7579.34</td>
<td>7579.34</td>
<td>6442.44</td>
<td>4168.64</td>
<td>2880.15</td>
</tr>
<tr>
<td>计算型 ecs.c8i.large</td>
<td>2</td>
<td>4</td>
<td>0.3853</td>
<td>184.93</td>
<td>184.93</td>
<td>157.19</td>
<td>101.71</td>
<td>70.27</td>
</tr>
<tr>
<td>计算型 ecs.c8i.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.7706</td>
<td>369.86</td>
<td>369.86</td>
<td>314.38</td>
<td>203.43</td>
<td>140.55</td>
</tr>
<tr>
<td>计算型 ecs.c8i.2xlarge</td>
<td>8</td>
<td>16</td>
<td>1.5411</td>
<td>739.73</td>
<td>739.73</td>
<td>628.77</td>
<td>406.85</td>
<td>281.1</td>
</tr>
<tr>
<td>计算型 ecs.c8i.3xlarge</td>
<td>12</td>
<td>24</td>
<td>2.3117</td>
<td>1109.59</td>
<td>1109.59</td>
<td>943.15</td>
<td>610.28</td>
<td>421.65</td>
</tr>
<tr>
<td>计算型 ecs.c8i.4xlarge</td>
<td>16</td>
<td>32</td>
<td>3.0822</td>
<td>1479.46</td>
<td>1479.46</td>
<td>1257.54</td>
<td>813.7</td>
<td>562.19</td>
</tr>
<tr>
<td>计算型 ecs.c8i.6xlarge</td>
<td>24</td>
<td>48</td>
<td>4.6233</td>
<td>2219.19</td>
<td>2219.19</td>
<td>1886.31</td>
<td>1220.55</td>
<td>843.29</td>
</tr>
<tr>
<td>计算型 ecs.c8i.8xlarge</td>
<td>32</td>
<td>64</td>
<td>6.1644</td>
<td>2958.92</td>
<td>2958.92</td>
<td>2515.08</td>
<td>1627.4</td>
<td>1124.39</td>
</tr>
<tr>
<td>计算型 ecs.c8i.12xlarge</td>
<td>48</td>
<td>96</td>
<td>9.2466</td>
<td>4438.37</td>
<td>4438.37</td>
<td>3772.62</td>
<td>2441.11</td>
<td>1686.58</td>
</tr>
<tr>
<td>计算型 ecs.c8i.16xlarge</td>
<td>64</td>
<td>128</td>
<td>12.3288</td>
<td>5917.83</td>
<td>5917.83</td>
<td>5030.16</td>
<td>3254.81</td>
<td>2248.78</td>
</tr>
<tr>
<td>计算型 ecs.c8i.24xlarge</td>
<td>96</td>
<td>192</td>
<td>18.4932</td>
<td>8876.75</td>
<td>8876.75</td>
<td>7545.24</td>
<td>4882.21</td>
<td>3373.16</td>
</tr>
<tr>
<td>通用型 ecs.g8i.large</td>
<td>2</td>
<td>8</td>
<td>0.4945</td>
<td>237.35</td>
<td>237.35</td>
<td>201.74</td>
<td>130.54</td>
<td>90.19</td>
</tr>
<tr>
<td>通用型 ecs.g8i.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.9889</td>
<td>474.69</td>
<td>474.69</td>
<td>403.49</td>
<td>261.08</td>
<td>180.38</td>
</tr>
<tr>
<td>通用型 ecs.g8i.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.9779</td>
<td>949.39</td>
<td>949.39</td>
<td>806.98</td>
<td>522.16</td>
<td>360.77</td>
</tr>
<tr>
<td>通用型 ecs.g8i.3xlarge</td>
<td>12</td>
<td>48</td>
<td>2.9668</td>
<td>1424.08</td>
<td>1424.08</td>
<td>1210.46</td>
<td>783.24</td>
<td>541.15</td>
</tr>
<tr>
<td>通用型 ecs.g8i.4xlarge</td>
<td>16</td>
<td>64</td>
<td>3.9558</td>
<td>1898.77</td>
<td>1898.77</td>
<td>1613.95</td>
<td>1044.32</td>
<td>721.53</td>
</tr>
<tr>
<td>通用型 ecs.g8i.6xlarge</td>
<td>24</td>
<td>96</td>
<td>5.9337</td>
<td>2848.15</td>
<td>2848.15</td>
<td>2420.93</td>
<td>1566.48</td>
<td>1082.3</td>
</tr>
<tr>
<td>通用型 ecs.g8i.8xlarge</td>
<td>32</td>
<td>128</td>
<td>7.9115</td>
<td>3797.54</td>
<td>3797.54</td>
<td>3227.91</td>
<td>2088.65</td>
<td>1443.06</td>
</tr>
<tr>
<td>通用型 ecs.g8i.12xlarge</td>
<td>48</td>
<td>192</td>
<td>11.8673</td>
<td>5696.31</td>
<td>5696.31</td>
<td>4841.86</td>
<td>3132.97</td>
<td>2164.6</td>
</tr>
<tr>
<td>通用型 ecs.g8i.16xlarge</td>
<td>64</td>
<td>256</td>
<td>15.8231</td>
<td>7595.08</td>
<td>7595.08</td>
<td>6455.82</td>
<td>4177.29</td>
<td>2886.13</td>
</tr>
<tr>
<td>通用型 ecs.g8i.24xlarge</td>
<td>96</td>
<td>384</td>
<td>23.7346</td>
<td>11392.62</td>
<td>11392.62</td>
<td>9683.73</td>
<td>6265.94</td>
<td>4329.19</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>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>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.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.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.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.r6.13xlarge</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>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>密集计算型 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>密集计算型 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>密集计算型 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>密集计算型 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>密集计算型 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>密集计算型 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>密集计算型 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>密集计算型 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性能增强型 ecs.i4p.2xlarge</td>
<td>8</td>
<td>32</td>
<td>3.560625</td>
<td>1709.1</td>
<td>1709.1</td>
<td>1452.73</td>
<td>940</td>
<td>649.46</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.4xlarge</td>
<td>16</td>
<td>64</td>
<td>7.12125</td>
<td>3418.2</td>
<td>3418.2</td>
<td>2905.47</td>
<td>1880.01</td>
<td>1298.92</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.6xlarge</td>
<td>24</td>
<td>96</td>
<td>10.681875</td>
<td>5127.3</td>
<td>5127.3</td>
<td>4358.2</td>
<td>2820.01</td>
<td>1948.37</td>
</tr>
<tr>
<td>本地SSD性能增强型 ecs.i4p.8xlarge</td>
<td>32</td>
<td>128</td>
<td>14.2425</td>
<td>6836.4</td>
<td>6836.4</td>
<td>5810.94</td>
<td>3760.02</td>
<td>2597.83</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>1.777544</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>3.5559</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>7.1109</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>14.2209</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>28.4409</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>35.5509</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>
<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>1925</td>
<td>1925</td>
<td>1925</td>
<td>1925</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.4xlarge</td>
<td>16</td>
<td>64</td>
<td>13.37</td>
<td>3850</td>
<td>3850</td>
<td>3850</td>
<td>3850</td>
<td>3850</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne.6xlarge</td>
<td>24</td>
<td>96</td>
<td>20.05</td>
<td>5775</td>
<td>5775</td>
<td>5775</td>
<td>5775</td>
<td>5775</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c8d3.8xlarge</td>
<td>32</td>
<td>128</td>
<td>25.66</td>
<td>7391</td>
<td>7391</td>
<td>7391</td>
<td>7391</td>
<td>7391</td>
</tr>
<tr>
<td>大数据网络增强型 ecs.d1ne-c14d3.14xlarge</td>
<td>56</td>
<td>160</td>
<td>38.92</td>
<td>11209</td>
<td>11209</td>
<td>11209</td>
<td>11209</td>
<td>11209</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.large</td>
<td>2</td>
<td>4</td>
<td>0.2025</td>
<td>97.2</td>
<td>97.2</td>
<td>26.24</td>
<td>16.52</td>
<td>16.52</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.large</td>
<td>2</td>
<td>8</td>
<td>0.3038</td>
<td>145.8</td>
<td>145.8</td>
<td>39.37</td>
<td>24.79</td>
<td>24.79</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m1.large</td>
<td>2</td>
<td>2</td>
<td>0.0846</td>
<td>40.63</td>
<td>40.63</td>
<td>10.97</td>
<td>6.91</td>
<td>6.91</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.xlarge</td>
<td>4</td>
<td>16</td>
<td>0.6075</td>
<td>291.6</td>
<td>291.6</td>
<td>174.96</td>
<td>110.81</td>
<td>110.81</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.xlarge</td>
<td>4</td>
<td>8</td>
<td>0.405</td>
<td>194.4</td>
<td>194.4</td>
<td>116.64</td>
<td>73.87</td>
<td>73.87</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m4.2xlarge</td>
<td>8</td>
<td>32</td>
<td>1.215</td>
<td>583.2</td>
<td>583.2</td>
<td>349.92</td>
<td>221.62</td>
<td>221.62</td>
</tr>
<tr>
<td>经济型 ecs.e-c1m2.2xlarge</td>
<td>8</td>
<td>16</td>
<td>0.81</td>
<td>388.8</td>
<td>388.8</td>
<td>233.28</td>
<td>147.74</td>
<td>147.74</td>
</tr>
</tbody>
</table>
以上为是2023年阿里云服务器不同实例规格及配置的最新租用收费标准价格表，下面为大家展示阿里云服务器最新带宽价格及磁盘存储价格。
<h2>八、阿里云服务器公网带宽价格</h2>
云服务器想要在公网对外提供服务，需要购买公网带宽，云服务器公网带宽计费模式可选按固定带宽计费，也可以选择按实际使用流量计费。云服务器地域不同公网带宽价格也不同，作者以华东1（杭州）地域为例，来详细说下公网带宽收费标准
<table>
<thead>
<tr>
<th>计费方式</th>
<th>类型</th>
<th>价格</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>
</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>
</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>
</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>
</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>
</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>
</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>
</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>
</tr>
<tr>
<td>按使用量线性计费</td>
<td>1GB</td>
<td>0.8 元/GB</td>
</tr>
</tbody>
</table>
公网带宽选择注意事项：在我们选择云服务器带宽时，6M是一个分水岭，选择1-5M带宽时每M的收费价格波动不是很大，但是当带宽超过6M时每M的收费价格需要80.0 元/月或0.250 元/小时，因此，前期如果是非必要，推荐尽量先选择5M以内带宽，后期再随时根据流量需求随时增加带宽，云服务器的一个优势就是弹性伸缩，我们可以随时调整云服务器的带宽。
<h2>九、云服务器块存储价格（系统盘、数据盘可选云盘种类及收费标准）</h2>
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</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>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>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>
以上是小编分享的阿里云服务器2023年最新收费标准与券后活动价格表，我们在实际购买之前，请记得查看阿里云官网活动中心，先领取阿里云优惠券或代金券，然后再购买，这样在实际购买时才可以使用优惠券或代金券获得满减优惠。

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阿里云服务器最新租用价格 2023年最新收费标准与券后活动价格表

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