本文属于机器翻译版本。若本译文内容与英语原文存在差异，则一律以英文原文为准。
通用实例
通用型实例提供了计算、内存和网络资源的平衡。这些实例非常适合以相同比例使用这些资源的应用程序，例如 Web 服务器和代码存储库。
有关此类别上一代实例类型的信息，请参阅上一代实例。
提供的尺寸
| 实例类型 | 提供的尺寸 |
|---|---|
| M5 | m5.large | m5.xlarge | m5.2xlarge | m5.4xlarge | m5.8xlarge | m5.12xlarge | m5.16xlarge | m5.24xlarge | m5.metal |
| M5a | m5a.large | m5a.xlarge | m5a.2xlarge | m5a.4xlarge | m5a.8xlarge | m5a.12xlarge | m5a.16xlarge | m5a.24xlarge |
| M5ad | m5ad.large | m5ad.xlarge | m5ad.2xlarge | m5ad.4xlarge | m5ad.8xlarge | m5ad.12xlarge | m5ad.16xlarge | m5ad.24xlarge |
| M5d | m5d.large | m5d.xlarge | m5d.2xlarge | m5d.4xlarge | m5d.8xlarge | m5d.12xlarge | m5d.16xlarge | m5d.24xlarge | m5d.metal |
| M5dn | m5dn.large | m5dn.xlarge | m5dn.2xlarge | m5dn.4xlarge | m5dn.8xlarge | m5dn.12xlarge | m5dn.16xlarge | m5dn.24xlarge | m5dn.metal |
| M5n | m5n.large | m5n.xlarge | m5n.2xlarge | m5n.4xlarge | m5n.8xlarge | m5n.12xlarge | m5n.16xlarge | m5n.24xlarge | m5n.metal |
| M5zn | m5zn.large | m5zn.xlarge | m5zn.2xlarge | m5zn.3xlarge | m5zn.6xlarge | m5zn.12xlarge | m5zn.metal |
| M6a | m6a.large | m6a.xlarge | m6a.2xlarge | m6a.4xlarge | m6a.8xlarge | m6a.12xlarge | m6a.16xlarge | m6a.24xlarge | m6a.32xlarge | m6a.48xlarge | m6a.metal |
| M6g | m6g.medium | m6g.large | m6g.xlarge | m6g.2xlarge | m6g.4xlarge | m6g.8xlarge | m6g.12xlarge | m6g.16xlarge | m6g.metal |
| M6gd | m6gd.medium | m6gd.large | m6gd.xlarge | m6gd.2xlarge | m6gd.4xlarge | m6gd.8xlarge | m6gd.12xlarge | m6gd.16xlarge | m6gd.metal |
| M6i | m6i.large | m6i.xlarge | m6i.2xlarge | m6i.4xlarge | m6i.8xlarge | m6i.12xlarge | m6i.16xlarge | m6i.24xlarge | m6i.32xlarge | m6i.metal |
| M6id | m6id.large | m6id.xlarge | m6id.2xlarge | m6id.4xlarge | m6id.8xlarge | m6id.12xlarge | m6id.16xlarge | m6id.24xlarge | m6id.32xlarge | m6id.metal |
| M6idn | m6idn.large | m6idn.xlarge | m6idn.2xlarge | m6idn.4xlarge | m6idn.8xlarge | m6idn.12xlarge | m6idn.16xlarge | m6idn.24xlarge | m6idn.32xlarge | m6idn.metal |
| M6in | m6in.large | m6in.xlarge | m6in.2xlarge | m6in.4xlarge | m6in.8xlarge | m6in.12xlarge | m6in.16xlarge | m6in.24xlarge | m6in.32xlarge | m6in.metal |
| M7a | m7a.medium | m7a.large | m7a.xlarge | m7a.2xlarge | m7a.4xlarge | m7a.8xlarge | m7a.12xlarge | m7a.16xlarge | m7a.24xlarge | m7a.32xlarge | m7a.48xlarge | m7a.metal-48xl |
| M7g | m7g.medium | m7g.large | m7g.xlarge | m7g.2xlarge | m7g.4xlarge | m7g.8xlarge | m7g.12xlarge | m7g.16xlarge | m7g.metal |
| M7gd | m7gd.medium | m7gd.large | m7gd.xlarge | m7gd.2xlarge | m7gd.4xlarge | m7gd.8xlarge | m7gd.12xlarge | m7gd.16xlarge | m7gd.metal |
| M7i | m7i.large | m7i.xlarge | m7i.2xlarge | m7i.4xlarge | m7i.8xlarge | m7i.12xlarge | m7i.16xlarge | m7i.24xlarge | m7i.48xlarge | m7i.metal-24xl | m7i.metal-48xl |
| M7i-flex | m7i-flex.large | m7i-flex.xlarge | m7i-flex.2xlarge | m7i-flex.4xlarge | m7i-flex.8xlarge |
| Mac1 | mac1.metal |
| Mac2 | mac2.metal |
| Mac2-m2 | mac2-m2.metal |
| Mac2-m2pro | mac2-m2pro.metal |
| T2 | t2.nano | t2.micro | t2.small | t2.medium | t2.large | t2.xlarge | t2.2xlarge |
| T3 | t3.nano | t3.micro | t3.small | t3.medium | t3.large | t3.xlarge | t3.2xlarge |
| T3a | t3a.nano | t3a.micro | t3a.small | t3a.medium | t3a.large | t3a.xlarge | t3a.2xlarge |
| T4g | t4g.nano | t4g.micro | t4g.small | t4g.medium | t4g.large | t4g.xlarge | t4g.2xlarge |
平台摘要
| 实例类型 | 虚拟机监控器 | 处理器类型（架构） | 金属实例可用 | 专用主机支持 | 现货支持 | 支持休眠 | 支持的操作系统 |
|---|---|---|---|---|---|---|---|
| M5 | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
| M5a | 硝基 | AMD (x86_64) | ✗ | ✓ | ✓ | ✓ | Windows | Linux |
| M5ad | 硝基 | AMD (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
| M5d | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
| M5dn | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| M5n | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| M5zn | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| M6a | 硝基 | AMD (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| M6g | 硝基 | Amazon Graviton (arm64) | ✓ | ✓ | ✓ | ✗ | Linux |
| M6gd | 硝基 | Amazon Graviton (arm64) | ✓ | ✓ | ✓ | ✗ | Linux |
| M6i | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
| M6id | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
| M6idn | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| M6in | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| M7a | 硝基 | AMD (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| M7g | 硝基 | Amazon Graviton (arm64) | ✓ | ✓ | ✓ | ✗ | Linux |
| M7gd | 硝基 | Amazon Graviton (arm64) | ✓ | ✓ | ✓ | ✗ | Linux |
| M7i | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
| M7i-flex | 硝基 | 英特尔 (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
| Mac1 | 硝基 | 英特尔 (x86_64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
| Mac2 | 硝基 | 苹果 (arm64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
| Mac2-m2 | 硝基 | 苹果 (arm64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
| Mac2-m2pro | 硝基 | 苹果 (arm64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
| T2 | Xen | 英特尔 (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
| T3 | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✓ | Windows | Linux |
| T3a | 硝基 | AMD (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
| T4g | 硝基 | Amazon Graviton (arm64) | ✗ | ✗ | ✓ | ✗ | Linux |
性能规格
| 实例类型 | Burstable | 内存 (GiB) | 处理器 | vCPU | CPU 内核 | 每个内核的线程数 | 加速器 | 加速器内存 |
|---|---|---|---|---|---|---|---|---|
| M5 | ||||||||
| m5.large | ✗ | 8.00 | 英特尔至强铂金 8175 | 2 | 1 | 2 | ✗ | ✗ |
| m5.xlarge | ✗ | 16.00 | 英特尔至强铂金 8175 | 4 | 2 | 2 | ✗ | ✗ |
| m5.2xlarge | ✗ | 32.00 | 英特尔至强铂金 8175 | 8 | 4 | 2 | ✗ | ✗ |
| m5.4xlarge | ✗ | 64.00 | 英特尔至强铂金 8175 | 16 | 8 | 2 | ✗ | ✗ |
| m5.8xlarge | ✗ | 128.00 | 英特尔至强铂金 8175 | 32 | 16 | 2 | ✗ | ✗ |
| m5.12xlarge | ✗ | 192.00 | 英特尔至强铂金 8175 | 48 | 24 | 2 | ✗ | ✗ |
| m5.16xlarge | ✗ | 256.00 | 英特尔至强铂金 8175 | 64 | 32 | 2 | ✗ | ✗ |
| m5.24xlarge | ✗ | 384.00 | 英特尔至强铂金 8175 | 96 | 48 | 2 | ✗ | ✗ |
| m5.metal | ✗ | 384.00 | 英特尔至强铂金 8175 | 96 | 48 | 2 | ✗ | ✗ |
| m5a | ||||||||
| m5a.large | ✗ | 8.00 | 还有 EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
| m5a.xlarge | ✗ | 16.00 | 还有 EPYC 7571 | 4 | 2 | 2 | ✗ | ✗ |
| m5a.2xlarge | ✗ | 32.00 | 还有 EPYC 7571 | 8 | 4 | 2 | ✗ | ✗ |
| m5a.4xlarge | ✗ | 64.00 | 还有 EPYC 7571 | 16 | 8 | 2 | ✗ | ✗ |
| m5a.8xlarge | ✗ | 128.00 | 还有 EPYC 7571 | 32 | 16 | 2 | ✗ | ✗ |
| m5a.12xlarge | ✗ | 192.00 | 还有 EPYC 7571 | 48 | 24 | 2 | ✗ | ✗ |
| m5a.16xlarge | ✗ | 256.00 | 还有 EPYC 7571 | 64 | 32 | 2 | ✗ | ✗ |
| m5a.24xlarge | ✗ | 384.00 | 还有 EPYC 7571 | 96 | 48 | 2 | ✗ | ✗ |
| m5ad | ||||||||
| m5ad.large | ✗ | 8.00 | 还有 EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
| m5ad.xlarge | ✗ | 16.00 | 还有 EPYC 7571 | 4 | 2 | 2 | ✗ | ✗ |
| m5ad.2xlarge | ✗ | 32.00 | 还有 EPYC 7571 | 8 | 4 | 2 | ✗ | ✗ |
| m5ad.4xlarge | ✗ | 64.00 | 还有 EPYC 7571 | 16 | 8 | 2 | ✗ | ✗ |
| m5ad.8xlarge | ✗ | 128.00 | 还有 EPYC 7571 | 32 | 16 | 2 | ✗ | ✗ |
| m5ad.12xlarge | ✗ | 192.00 | 还有 EPYC 7571 | 48 | 24 | 2 | ✗ | ✗ |
| m5ad.16xlarge | ✗ | 256.00 | 还有 EPYC 7571 | 64 | 32 | 2 | ✗ | ✗ |
| m5ad.24xlarge | ✗ | 384.00 | 还有 EPYC 7571 | 96 | 48 | 2 | ✗ | ✗ |
| m5d | ||||||||
| m5d.large | ✗ | 8.00 | 英特尔至强铂金 8175 | 2 | 1 | 2 | ✗ | ✗ |
| m5d.xlarge | ✗ | 16.00 | 英特尔至强铂金 8175 | 4 | 2 | 2 | ✗ | ✗ |
| m5d.2xlarge | ✗ | 32.00 | 英特尔至强铂金 8175 | 8 | 4 | 2 | ✗ | ✗ |
| m5d.4xlarge | ✗ | 64.00 | 英特尔至强铂金 8175 | 16 | 8 | 2 | ✗ | ✗ |
| m5d.8xlarge | ✗ | 128.00 | 英特尔至强铂金 8175 | 32 | 16 | 2 | ✗ | ✗ |
| m5d.12xlarge | ✗ | 192.00 | 英特尔至强铂金 8175 | 48 | 24 | 2 | ✗ | ✗ |
| m5d.16xlarge | ✗ | 256.00 | 英特尔至强铂金 8175 | 64 | 32 | 2 | ✗ | ✗ |
| m5d.24xlarge | ✗ | 384.00 | 英特尔至强铂金 8175 | 96 | 48 | 2 | ✗ | ✗ |
| m5d.metal | ✗ | 384.00 | 英特尔至强铂金 8175 | 96 | 48 | 2 | ✗ | ✗ |
| m5dn | ||||||||
| m5dn.large | ✗ | 8.00 | 英特尔至强铂金 8259 | 2 | 1 | 2 | ✗ | ✗ |
| m5dn.xlarge | ✗ | 16.00 | 英特尔至强铂金 8259 | 4 | 2 | 2 | ✗ | ✗ |
| m5dn.2xlarge | ✗ | 32.00 | 英特尔至强铂金 8259 | 8 | 4 | 2 | ✗ | ✗ |
| m5dn.4xlarge | ✗ | 64.00 | 英特尔至强铂金 8259 | 16 | 8 | 2 | ✗ | ✗ |
| m5dn.8xlarge | ✗ | 128.00 | 英特尔至强铂金 8259 | 32 | 16 | 2 | ✗ | ✗ |
| m5dn.12xlarge | ✗ | 192.00 | 英特尔至强铂金 8259 | 48 | 24 | 2 | ✗ | ✗ |
| m5dn.16xlarge | ✗ | 256.00 | 英特尔至强铂金 8259 | 64 | 32 | 2 | ✗ | ✗ |
| m5dn.24xlarge | ✗ | 384.00 | 英特尔至强铂金 8259 | 96 | 48 | 2 | ✗ | ✗ |
| m5dn.metal | ✗ | 384.00 | 英特尔至强铂金 8259 | 96 | 48 | 2 | ✗ | ✗ |
| m5n | ||||||||
| m5n.large | ✗ | 8.00 | 英特尔至强铂金 8259 | 2 | 1 | 2 | ✗ | ✗ |
| m5n.xlarge | ✗ | 16.00 | 英特尔至强铂金 8259 | 4 | 2 | 2 | ✗ | ✗ |
| m5n.2xlarge | ✗ | 32.00 | 英特尔至强铂金 8259 | 8 | 4 | 2 | ✗ | ✗ |
| m5n.4xlarge | ✗ | 64.00 | 英特尔至强铂金 8259 | 16 | 8 | 2 | ✗ | ✗ |
| m5n.8xlarge | ✗ | 128.00 | 英特尔至强铂金 8259 | 32 | 16 | 2 | ✗ | ✗ |
| m5n.12xlarge | ✗ | 192.00 | 英特尔至强铂金 8259 | 48 | 24 | 2 | ✗ | ✗ |
| m5n.16xlarge | ✗ | 256.00 | 英特尔至强铂金 8259 | 64 | 32 | 2 | ✗ | ✗ |
| m5n.24xlarge | ✗ | 384.00 | 英特尔至强铂金 8259 | 96 | 48 | 2 | ✗ | ✗ |
| m5n.metal | ✗ | 384.00 | 英特尔至强铂金 8259 | 96 | 48 | 2 | ✗ | ✗ |
| m5Zn | ||||||||
| m5zn.large | ✗ | 8.00 | 英特尔至强铂金 8252 | 2 | 1 | 2 | ✗ | ✗ |
| m5zn.xlarge | ✗ | 16.00 | 英特尔至强铂金 8252 | 4 | 2 | 2 | ✗ | ✗ |
| m5zn.2xlarge | ✗ | 32.00 | 英特尔至强铂金 8252 | 8 | 4 | 2 | ✗ | ✗ |
| m5zn.3xlarge | ✗ | 48.00 | 英特尔至强铂金 8252 | 12 | 6 | 2 | ✗ | ✗ |
| m5zn.6xlarge | ✗ | 96.00 | 英特尔至强铂金 8252 | 24 | 12 | 2 | ✗ | ✗ |
| m5zn.12xlarge | ✗ | 192.00 | 英特尔至强铂金 8252 | 48 | 24 | 2 | ✗ | ✗ |
| m5zn.metal | ✗ | 192.00 | 英特尔至强铂金 8252 | 48 | 24 | 2 | ✗ | ✗ |
| m6a | ||||||||
| m6a.large | ✗ | 8.00 | 还有 EPYC 7R13 | 2 | 1 | 2 | ✗ | ✗ |
| m6a.xlarge | ✗ | 16.00 | 还有 EPYC 7R13 | 4 | 2 | 2 | ✗ | ✗ |
| m6a.2xlarge | ✗ | 32.00 | 还有 EPYC 7R13 | 8 | 4 | 2 | ✗ | ✗ |
| m6a.4xlarge | ✗ | 64.00 | 还有 EPYC 7R13 | 16 | 8 | 2 | ✗ | ✗ |
| m6a.8xlarge | ✗ | 128.00 | 还有 EPYC 7R13 | 32 | 16 | 2 | ✗ | ✗ |
| m6a.12xlarge | ✗ | 192.00 | 还有 EPYC 7R13 | 48 | 24 | 2 | ✗ | ✗ |
| m6a.16xlarge | ✗ | 256.00 | 还有 EPYC 7R13 | 64 | 32 | 2 | ✗ | ✗ |
| m6a.24xlarge | ✗ | 384.00 | 还有 EPYC 7R13 | 96 | 48 | 2 | ✗ | ✗ |
| m6a.32xlarge | ✗ | 512.00 | 还有 EPYC 7R13 | 128 | 64 | 2 | ✗ | ✗ |
| m6a.48xlarge | ✗ | 768.00 | 还有 EPYC 7R13 | 192 | 96 | 2 | ✗ | ✗ |
| m6a.metal | ✗ | 768.00 | 还有 EPYC 7R13 | 192 | 96 | 2 | ✗ | ✗ |
| m6g | ||||||||
| m6g.medium | ✗ | 4.00 | Amazon Graviton2 处理器 | 1 | 1 | 1 | ✗ | ✗ |
| m6g.large | ✗ | 8.00 | Amazon Graviton2 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| m6g.xlarge | ✗ | 16.00 | Amazon Graviton2 处理器 | 4 | 4 | 1 | ✗ | ✗ |
| m6g.2xlarge | ✗ | 32.00 | Amazon Graviton2 处理器 | 8 | 8 | 1 | ✗ | ✗ |
| m6g.4xlarge | ✗ | 64.00 | Amazon Graviton2 处理器 | 16 | 16 | 1 | ✗ | ✗ |
| m6g.8xlarge | ✗ | 128.00 | Amazon Graviton2 处理器 | 32 | 32 | 1 | ✗ | ✗ |
| m6g.12xlarge | ✗ | 192.00 | Amazon Graviton2 处理器 | 48 | 48 | 1 | ✗ | ✗ |
| m6g.16xlarge | ✗ | 256.00 | Amazon Graviton2 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m6g.metal | ✗ | 256.00 | Amazon Graviton2 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m6gD | ||||||||
| m6gd.medium | ✗ | 4.00 | Amazon Graviton2 处理器 | 1 | 1 | 1 | ✗ | ✗ |
| m6gd.large | ✗ | 8.00 | Amazon Graviton2 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| m6gd.xlarge | ✗ | 16.00 | Amazon Graviton2 处理器 | 4 | 4 | 1 | ✗ | ✗ |
| m6gd.2xlarge | ✗ | 32.00 | Amazon Graviton2 处理器 | 8 | 8 | 1 | ✗ | ✗ |
| m6gd.4xlarge | ✗ | 64.00 | Amazon Graviton2 处理器 | 16 | 16 | 1 | ✗ | ✗ |
| m6gd.8xlarge | ✗ | 128.00 | Amazon Graviton2 处理器 | 32 | 32 | 1 | ✗ | ✗ |
| m6gd.12xlarge | ✗ | 192.00 | Amazon Graviton2 处理器 | 48 | 48 | 1 | ✗ | ✗ |
| m6gd.16xlarge | ✗ | 256.00 | Amazon Graviton2 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m6gd.metal | ✗ | 256.00 | Amazon Graviton2 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m6i | ||||||||
| m6i.large | ✗ | 8.00 | 英特尔至强 Ice Lake | 2 | 1 | 2 | ✗ | ✗ |
| m6i.xlarge | ✗ | 16.00 | 英特尔至强冰湖 | 4 | 2 | 2 | ✗ | ✗ |
| m6i.2xlarge | ✗ | 32.00 | 英特尔至强冰湖 | 8 | 4 | 2 | ✗ | ✗ |
| m6i.4xlarge | ✗ | 64.00 | 英特尔至强冰湖 | 16 | 8 | 2 | ✗ | ✗ |
| m6i.8xlarge | ✗ | 128.00 | 英特尔至强冰湖 | 32 | 16 | 2 | ✗ | ✗ |
| m6i.12xlarge | ✗ | 192.00 | 英特尔至强冰湖 | 48 | 24 | 2 | ✗ | ✗ |
| m6i.16xlarge | ✗ | 256.00 | 英特尔至强冰湖 | 64 | 32 | 2 | ✗ | ✗ |
| m6i.24xlarge | ✗ | 384.00 | 英特尔至强冰湖 | 96 | 48 | 2 | ✗ | ✗ |
| m6i.32xlarge | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m6i.metal | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m6id | ||||||||
| m6id.large | ✗ | 8.00 | 英特尔至强冰湖 | 2 | 1 | 2 | ✗ | ✗ |
| m6id.xlarge | ✗ | 16.00 | 英特尔至强冰湖 | 4 | 2 | 2 | ✗ | ✗ |
| m6id.2xlarge | ✗ | 32.00 | 英特尔至强冰湖 | 8 | 4 | 2 | ✗ | ✗ |
| m6id.4xlarge | ✗ | 64.00 | 英特尔至强冰湖 | 16 | 8 | 2 | ✗ | ✗ |
| m6id.8xlarge | ✗ | 128.00 | 英特尔至强冰湖 | 32 | 16 | 2 | ✗ | ✗ |
| m6id.12xlarge | ✗ | 192.00 | 英特尔至强冰湖 | 48 | 24 | 2 | ✗ | ✗ |
| m6id.16xlarge | ✗ | 256.00 | 英特尔至强冰湖 | 64 | 32 | 2 | ✗ | ✗ |
| m6id.24xlarge | ✗ | 384.00 | 英特尔至强冰湖 | 96 | 48 | 2 | ✗ | ✗ |
| m6id.32xlarge | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m6id.metal | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m6iDN | ||||||||
| m6idn.large | ✗ | 8.00 | 英特尔至强冰湖 | 2 | 1 | 2 | ✗ | ✗ |
| m6idn.xlarge | ✗ | 16.00 | 英特尔至强冰湖 | 4 | 2 | 2 | ✗ | ✗ |
| m6idn.2xlarge | ✗ | 32.00 | 英特尔至强冰湖 | 8 | 4 | 2 | ✗ | ✗ |
| m6idn.4xlarge | ✗ | 64.00 | 英特尔至强冰湖 | 16 | 8 | 2 | ✗ | ✗ |
| m6idn.8xlarge | ✗ | 128.00 | 英特尔至强冰湖 | 32 | 16 | 2 | ✗ | ✗ |
| m6idn.12xlarge | ✗ | 192.00 | 英特尔至强冰湖 | 48 | 24 | 2 | ✗ | ✗ |
| m6idn.16xlarge | ✗ | 256.00 | 英特尔至强冰湖 | 64 | 32 | 2 | ✗ | ✗ |
| m6idn.24xlarge | ✗ | 384.00 | 英特尔至强冰湖 | 96 | 48 | 2 | ✗ | ✗ |
| m6idn.32xlarge | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m6idn.metal | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m6in | ||||||||
| m6in.large | ✗ | 8.00 | 英特尔至强冰湖 | 2 | 1 | 2 | ✗ | ✗ |
| m6in.xlarge | ✗ | 16.00 | 英特尔至强冰湖 | 4 | 2 | 2 | ✗ | ✗ |
| m6in.2xlarge | ✗ | 32.00 | 英特尔至强冰湖 | 8 | 4 | 2 | ✗ | ✗ |
| m6in.4xlarge | ✗ | 64.00 | 英特尔至强冰湖 | 16 | 8 | 2 | ✗ | ✗ |
| m6in.8xlarge | ✗ | 128.00 | 英特尔至强冰湖 | 32 | 16 | 2 | ✗ | ✗ |
| m6in.12xlarge | ✗ | 192.00 | 英特尔至强冰湖 | 48 | 24 | 2 | ✗ | ✗ |
| m6in.16xlarge | ✗ | 256.00 | 英特尔至强冰湖 | 64 | 32 | 2 | ✗ | ✗ |
| m6in.24xlarge | ✗ | 384.00 | 英特尔至强冰湖 | 96 | 48 | 2 | ✗ | ✗ |
| m6in.32xlarge | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m6in.metal | ✗ | 512.00 | 英特尔至强冰湖 | 128 | 64 | 2 | ✗ | ✗ |
| m7a | ||||||||
| m7a.medium | ✗ | 4.00 | 还有 EPYC 9R14 | 1 | 1 | 1 | ✗ | ✗ |
| m7a.large | ✗ | 8.00 | 还有 EPYC 9R14 | 2 | 2 | 1 | ✗ | ✗ |
| m7a.xlarge | ✗ | 16.00 | 还有 EPYC 9R14 | 4 | 4 | 1 | ✗ | ✗ |
| m7a.2xlarge | ✗ | 32.00 | 还有 EPYC 9R14 | 8 | 8 | 1 | ✗ | ✗ |
| m7a.4xlarge | ✗ | 64.00 | 还有 EPYC 9R14 | 16 | 16 | 1 | ✗ | ✗ |
| m7a.8xlarge | ✗ | 128.00 | 还有 EPYC 9R14 | 32 | 32 | 1 | ✗ | ✗ |
| m7a.12xlarge | ✗ | 192.00 | 还有 EPYC 9R14 | 48 | 48 | 1 | ✗ | ✗ |
| m7a.16xlarge | ✗ | 256.00 | 还有 EPYC 9R14 | 64 | 64 | 1 | ✗ | ✗ |
| m7a.24xlarge | ✗ | 384.00 | 还有 EPYC 9R14 | 96 | 96 | 1 | ✗ | ✗ |
| m7a.32xlarge | ✗ | 512.00 | 还有 EPYC 9R14 | 128 | 128 | 1 | ✗ | ✗ |
| m7a.48xlarge | ✗ | 768.00 | 还有 EPYC 9R14 | 192 | 192 | 1 | ✗ | ✗ |
| m7a.metal-48xl | ✗ | 768.00 | 还有 EPYC 9R14 | 192 | 192 | 1 | ✗ | ✗ |
| m7g | ||||||||
| m7g.medium | ✗ | 4.00 | Amazon Graviton3 处理器 | 1 | 1 | 1 | ✗ | ✗ |
| m7g.large | ✗ | 8.00 | Amazon Graviton3 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| m7g.xlarge | ✗ | 16.00 | Amazon Graviton3 处理器 | 4 | 4 | 1 | ✗ | ✗ |
| m7g.2xlarge | ✗ | 32.00 | Amazon Graviton3 处理器 | 8 | 8 | 1 | ✗ | ✗ |
| m7g.4xlarge | ✗ | 64.00 | Amazon Graviton3 处理器 | 16 | 16 | 1 | ✗ | ✗ |
| m7g.8xlarge | ✗ | 128.00 | Amazon Graviton3 处理器 | 32 | 32 | 1 | ✗ | ✗ |
| m7g.12xlarge | ✗ | 192.00 | Amazon Graviton3 处理器 | 48 | 48 | 1 | ✗ | ✗ |
| m7g.16xlarge | ✗ | 256.00 | Amazon Graviton3 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m7g.metal | ✗ | 256.00 | Amazon Graviton3 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m7gD | ||||||||
| m7gd.medium | ✗ | 4.00 | Amazon Graviton3 处理器 | 1 | 1 | 1 | ✗ | ✗ |
| m7gd.large | ✗ | 8.00 | Amazon Graviton3 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| m7gd.xlarge | ✗ | 16.00 | Amazon Graviton3 处理器 | 4 | 4 | 1 | ✗ | ✗ |
| m7gd.2xlarge | ✗ | 32.00 | Amazon Graviton3 处理器 | 8 | 8 | 1 | ✗ | ✗ |
| m7gd.4xlarge | ✗ | 64.00 | Amazon Graviton3 处理器 | 16 | 16 | 1 | ✗ | ✗ |
| m7gd.8xlarge | ✗ | 128.00 | Amazon Graviton3 处理器 | 32 | 32 | 1 | ✗ | ✗ |
| m7gd.12xlarge | ✗ | 192.00 | Amazon Graviton3 处理器 | 48 | 48 | 1 | ✗ | ✗ |
| m7gd.16xlarge | ✗ | 256.00 | Amazon Graviton3 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m7gd.metal | ✗ | 256.00 | Amazon Graviton3 处理器 | 64 | 64 | 1 | ✗ | ✗ |
| m7i | ||||||||
| m7i.large | ✗ | 8.00 | 英特尔至强蓝宝石急流 | 2 | 1 | 2 | ✗ | ✗ |
| m7i.xlarge | ✗ | 16.00 | 英特尔至强蓝宝石急流 | 4 | 2 | 2 | ✗ | ✗ |
| m7i.2xlarge | ✗ | 32.00 | 英特尔至强蓝宝石急流 | 8 | 4 | 2 | ✗ | ✗ |
| m7i.4xlarge | ✗ | 64.00 | 英特尔至强蓝宝石急流 | 16 | 8 | 2 | ✗ | ✗ |
| m7i.8xlarge | ✗ | 128.00 | 英特尔至强蓝宝石急流 | 32 | 16 | 2 | ✗ | ✗ |
| m7i.12xlarge | ✗ | 192.00 | 英特尔至强蓝宝石急流 | 48 | 24 | 2 | ✗ | ✗ |
| m7i.16xlarge | ✗ | 256.00 | 英特尔至强蓝宝石急流 | 64 | 32 | 2 | ✗ | ✗ |
| m7i.24xlarge | ✗ | 384.00 | 英特尔至强蓝宝石急流 | 96 | 48 | 2 | ✗ | ✗ |
| m7i.48xlarge | ✗ | 768.00 | 英特尔至强蓝宝石急流 | 192 | 96 | 2 | ✗ | ✗ |
| m7i.metal-24xl | ✗ | 384.00 | 英特尔至强蓝宝石急流 | 96 | 48 | 2 | ✗ | ✗ |
| m7i.metal-48xl | ✗ | 768.00 | 英特尔至强蓝宝石急流 | 192 | 96 | 2 | ✗ | ✗ |
| m7i-flex | ||||||||
| m7i-flex.large | ✗ | 8.00 | 英特尔至强蓝宝石急流 | 2 | 1 | 2 | ✗ | ✗ |
| m7i-flex.xlarge | ✗ | 16.00 | 英特尔至强蓝宝石急流 | 4 | 2 | 2 | ✗ | ✗ |
| m7i-flex.2xlarge | ✗ | 32.00 | 英特尔至强蓝宝石急流 | 8 | 4 | 2 | ✗ | ✗ |
| m7i-flex.4xlarge | ✗ | 64.00 | 英特尔至强蓝宝石急流 | 16 | 8 | 2 | ✗ | ✗ |
| m7i-flex.8xlarge | ✗ | 128.00 | 英特尔至强蓝宝石急流 | 32 | 16 | 2 | ✗ | ✗ |
| Mac1 | ||||||||
| mac1.metal | ✗ | 32.00 | 英特尔酷睿 i7-8700B | 12 | 6 | 2 | ✗ | ✗ |
| Mac2 | ||||||||
| mac2.metal | ✗ | 16.00 | 配备 8 核 CPU 的苹果 M1 芯片 | 8 | 4 | 2 | ✗ | ✗ |
| mac2-m2 | ||||||||
| mac2-m2.metal | ✗ | 24.00 | 配备 8 核 CPU 的苹果 M2 | 8 | 8 | 1 | ✗ | ✗ |
| mac2-m2Pro | ||||||||
| mac2-m2pro.metal | ✗ | 32.00 | 配备 12 核 CPU 的苹果 M2 Pro | 12 | 12 | 1 | ✗ | ✗ |
| T2 | ||||||||
| t2.nano | ✓ | 0.50 | 英特尔至强家族 | 1 | 1 | 1 | ✗ | ✗ |
| t2.micro | ✓ | 1.00 | 英特尔至强家族 | 1 | 1 | 1 | ✗ | ✗ |
| t2.small | ✓ | 2.00 | 英特尔至强家族 | 1 | 1 | 1 | ✗ | ✗ |
| t2.medium | ✓ | 4.00 | 英特尔 Broadwell e5-2686v4 | 2 | 2 | 1 | ✗ | ✗ |
| t2.large | ✓ | 8.00 | 英特尔 Broadwell e5-2686v4 | 2 | 2 | 1 | ✗ | ✗ |
| t2.xlarge | ✓ | 16.00 | 英特尔 Broadwell e5-2686v4 | 4 | 4 | 1 | ✗ | ✗ |
| t2.2xlarge | ✓ | 32.00 | 英特尔 Broadwell e5-2686v4 | 8 | 8 | 1 | ✗ | ✗ |
| T3 | ||||||||
| t3.nano | ✓ | 0.50 | 英特尔 Skylike P-8175 | 2 | 1 | 2 | ✗ | ✗ |
| t3.micro | ✓ | 1.00 | 英特尔 Skylike P-8175 | 2 | 1 | 2 | ✗ | ✗ |
| t3.small | ✓ | 2.00 | 英特尔 Skylike P-8175 | 2 | 1 | 2 | ✗ | ✗ |
| t3.medium | ✓ | 4.00 | 英特尔 Skylike P-8175 | 2 | 1 | 2 | ✗ | ✗ |
| t3.large | ✓ | 8.00 | 英特尔 Skylike P-8175 | 2 | 1 | 2 | ✗ | ✗ |
| t3.xlarge | ✓ | 16.00 | 英特尔 Skylike P-8175 | 4 | 2 | 2 | ✗ | ✗ |
| t3.2xlarge | ✓ | 32.00 | 英特尔 Skylike P-8175 | 8 | 4 | 2 | ✗ | ✗ |
| T3a | ||||||||
| t3a.nano | ✓ | 0.50 | 还有 EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
| t3a.micro | ✓ | 1.00 | 还有 EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
| t3a.small | ✓ | 2.00 | 还有 EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
| t3a.medium | ✓ | 4.00 | 还有 EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
| t3a.large | ✓ | 8.00 | 还有 EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
| t3a.xlarge | ✓ | 16.00 | 还有 EPYC 7571 | 4 | 2 | 2 | ✗ | ✗ |
| t3a.2xlarge | ✓ | 32.00 | 还有 EPYC 7571 | 8 | 4 | 2 | ✗ | ✗ |
| T4g | ||||||||
| t4g.nano | ✓ | 0.50 | Amazon Graviton2 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| t4g.micro | ✓ | 1.00 | Amazon Graviton2 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| t4g.small | ✓ | 2.00 | Amazon Graviton2 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| t4g.medium | ✓ | 4.00 | Amazon Graviton2 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| t4g.large | ✓ | 8.00 | Amazon Graviton2 处理器 | 2 | 2 | 1 | ✗ | ✗ |
| t4g.xlarge | ✓ | 16.00 | Amazon Graviton2 处理器 | 4 | 4 | 1 | ✗ | ✗ |
| t4g.2xlarge | ✓ | 32.00 | Amazon Graviton2 处理器 | 8 | 8 | 1 | ✗ | ✗ |
网络规格
| 实例类型 | 基准/突发带宽 (Gbps) | EFA | ENA | ENA Express | 网卡 | 最大网络接口 | 每个接口的 IP 地址 | IPv6 |
|---|---|---|---|---|---|---|---|---|
| M5 | ||||||||
| m5.large 1 | 0.75/10.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m5.xlarge 1 | 1.25/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5.2xlarge 1 | 2.5/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5.4xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5.8xlarge | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5.12xlarge | 12Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5.16xlarge | 20Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5.24xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5.metal | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5a | ||||||||
| m5a.large 1 | 0.75/10.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m5a.xlarge 1 | 1.25/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5a.2xlarge 1 | 2.5/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5a.4xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5a.8xlarge 1 | 7.5/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5a.12xlarge | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5a.16xlarge | 12Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5a.24xlarge | 20Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5ad | ||||||||
| m5ad.large 1 | 0.75/10.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m5ad.xlarge 1 | 1.25/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5ad.2xlarge 1 | 2.5/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5ad.4xLarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5ad.8xlarge 1 | 7.5/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5ad.12xlarge | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5ad.16xlarge | 12Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5ad.24xlarge | 20Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5d | ||||||||
| m5d.large 1 | 0.75/10.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m5d.xlarge 1 | 1.25/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5d.2xlarge 1 | 2.5/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5d.4xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5d.8xlarge | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5d.12xlarge | 12Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5d.16xlarge | 20Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5d.24xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5d.metal | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5dn | ||||||||
| m5dn.large 1 | 2.1/25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m5dn.xlarge 1 | 4.1/25.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5dn.2xlarge 1 | 8.125/ 25.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5dn.4xlarge 1 | 16.25/25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5dn.8xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5dn.12xlarge | 50Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5dn.16xlarge | 75Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5dn.24xlarge | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5dn.metal | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5n | ||||||||
| m5n.large 1 | 2.1/25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m5n.xlarge 1 | 4.1/25.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5n.2xlarge 1 | 8.125/ 25.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5n.4xlarge 1 | 16.25/25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5n.8xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5n.12xlarge | 50Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5n.16xlarge | 75Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5n.24xlarge | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5n.metal | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5Zn | ||||||||
| m5zn.large 1 | 3.0/ 25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m5zn.xlarge 1 | 5.0/ 25.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5zn.2xlarge 1 | 10.0/25.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m5zn.3xlarge 1 | 15.0/ 25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5zn.6xlarge | 50Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m5zn.12xlarge | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m5zn.metal | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6a | ||||||||
| m6a.large 1 | 0.781/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m6a.xlarge 1 | 1.562/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6a.2xlarge 1 | 3.125/ 12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6a.4xlarge 1 | 6.25/12.5 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6a.8xlarge | 12.5Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6a.12xlarge | 18.75Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m6a.16xlarge | 25Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6a.24xlarge | 37.5Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6a.32xlarge | 50Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6a.48xlarge | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6a.metal | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6g | ||||||||
| m6g.medium 1 | 0.5/ 10.0 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| m6g.large 1 | 0.75/10.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m6g.xlarge 1 | 1.25/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6g.2xlarge 1 | 2.5/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6g.4xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6g.8xlarge | 12Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6g.12xlarge | 20Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6g.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6g.metal | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6gD | ||||||||
| m6gd.medium 1 | 0.5/ 10.0 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| m6gd.large 1 | 0.75/10.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m6gd.xlarge 1 | 1.25/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6gd.2xlarge 1 | 2.5/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6gd.4xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6gd.8xlarge | 12Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6gd.12xlarge | 20Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6gd.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6gd.metal | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6i | ||||||||
| m6i.large 1 | 0.781/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m6i.xlarge 1 | 1.562/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6i.2xlarge 1 | 3.125/ 12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6i.4xlarge 1 | 6.25/12.5 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6i.8xlarge | 12.5Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m6i.12xlarge | 18.75Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m6i.16xlarge | 25Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6i.24xlarge | 37.5Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6i.32xlarge | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6i.metal | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6id | ||||||||
| m6id.large 1 | 0.781/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m6id.xlarge 1 | 1.562/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6id.2xlarge 1 | 3.125/ 12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6id.4xlarge 1 | 6.25/12.5 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6id.8xlarge | 12.5Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m6id.12xlarge | 18.75Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m6id.16xlarge | 25Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6id.24xlarge | 37.5Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6id.32xlarge | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6id.metal | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m6iDN | ||||||||
| m6idn.large 1 | 3.125/ 25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m6idn.xlarge 1 | 6.25/ 30.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6idn.2xlarge 1 | 12.5/40.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6idn.4xlarge 1 | 25.0/50.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6idn.8xlarge | 50Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6idn.12xlarge | 75Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6idn.16xlarge | 100Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6idn.24xlarge | 150Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6idn.32xlarge | 200Gb | ✓ | ✓ | ✗ | 2 | 16 | 50 | ✓ |
| m6idn.metal | 200Gb | ✓ | ✓ | ✗ | 2 | 16 | 50 | ✓ |
| m6in | ||||||||
| m6in.large 1 | 3.125/ 25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m6in.xlarge 1 | 6.25/ 30.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6in.2xlarge 1 | 12.5/40.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m6in.4xlarge 1 | 25.0/50.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6in.8xlarge | 50Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6in.12xlarge | 75Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m6in.16xlarge | 100Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6in.24xlarge | 150Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m6in.32xlarge | 200Gb | ✓ | ✓ | ✗ | 2 | 16 | 50 | ✓ |
| m6in.metal | 200Gb | ✓ | ✓ | ✗ | 2 | 16 | 50 | ✓ |
| m7a | ||||||||
| m7a.medium 1 | 0.39/12.5 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| m7a.large 1 | 0.781/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m7a.xlarge 1 | 1.562/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7a.2xlarge 1 | 3.125/ 12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7a.4xlarge 1 | 6.25/12.5 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7a.8xlarge | 12.5Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7a.12xlarge | 18.75Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7a.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m7a.24xlarge | 37.5Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m7a.32xlarge | 50Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m7a.48xlarge | 50Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m7a.metal-48xl | 50Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| m7g | ||||||||
| m7g.medium 1 | 0.52/12.5 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| m7g.large 1 | 0.937/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m7g.xlarge 1 | 1.876/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7g.2xlarge 1 | 3.75/15.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7g.4xlarge 1 | 7.5/ 15.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7g.8xlarge | 15Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7g.12xlarge | 22.5Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m7g.16xlarge | 30Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7g.metal | 30Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7gD | ||||||||
| m7gd.medium 1 | 0.52/12.5 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| m7gd.large 1 | 0.937/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m7gd.xlarge 1 | 1.876/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7gd.2xlarge 1 | 3.75/15.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7gd.4xlarge 1 | 7.5/ 15.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7gd.8xlarge | 15Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7gd.12xlarge | 22.5Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m7gd.16xlarge | 30Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7gd.metal | 30Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7i | ||||||||
| m7i.large 1 | 0.781/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m7i.xlarge 1 | 1.562/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7i.2xlarge 1 | 3.125/ 12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7i.4xlarge 1 | 6.25/12.5 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7i.8xlarge | 12.5Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7i.12xlarge | 18.75Gb | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
| m7i.16xlarge | 25Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7i.24xlarge | 37.5Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7i.48xlarge | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7i.metal-24xl | 37.5Gb | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7i.metal-48xl | 50Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| m7i-flex | ||||||||
| m7i-flex.large 1 | 0.39/12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| m7i-flex.xlarge 1 | 0.781/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7i-flex.2xlarge 1 | 1.562/12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| m7i-flex.4xlarge 1 | 3.125/ 12.5 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| m7i-flex.8xlarge 1 | 6.25/12.5 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| Mac1 | ||||||||
| mac1.metal | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| Mac2 | ||||||||
| mac2.metal | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| mac2-m2 | ||||||||
| mac2-m2.metal | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| mac2-m2Pro | ||||||||
| mac2-m2pro.metal | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| T2 | ||||||||
| t2.nano | 低到中 | ✗ | ✗ | ✗ | 1 | 2 | 2 | ✓ |
| t2.micro | 低到中 | ✗ | ✗ | ✗ | 1 | 2 | 2 | ✓ |
| t2.small | 低到中 | ✗ | ✗ | ✗ | 1 | 3 | 4 | ✓ |
| t2.medium | 低到中 | ✗ | ✗ | ✗ | 1 | 3 | 6 | ✓ |
| t2.large | 低到中 | ✗ | ✗ | ✗ | 1 | 3 | 12 | ✓ |
| t2.xlarge | 中 | ✗ | ✗ | ✗ | 1 | 3 | 15 | ✓ |
| t2.2xlarge | 中 | ✗ | ✗ | ✗ | 1 | 3 | 15 | ✓ |
| T3 | ||||||||
| t3.nano 1 | 0.032/5.0 | ✗ | ✓ | ✗ | 1 | 2 | 2 | ✓ |
| t3.micro 1 | 0.064/5.0 | ✗ | ✓ | ✗ | 1 | 2 | 2 | ✓ |
| t3.small 1 | 0.128/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 4 | ✓ |
| t3.medium 1 | 0.256/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 6 | ✓ |
| t3.large 1 | 0.512/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 12 | ✓ |
| t3.xlarge 1 | 1.024/5.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| t3.2xlarge 1 | 2.048/5.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| T3a | ||||||||
| t3a.nano 1 | 0.032/5.0 | ✗ | ✓ | ✗ | 1 | 2 | 2 | ✓ |
| t3a.micro 1 | 0.064/5.0 | ✗ | ✓ | ✗ | 1 | 2 | 2 | ✓ |
| t3a.small 1 | 0.128/ 5.0 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| t3a.medium 1 | 0.256/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 6 | ✓ |
| t3a.large 1 | 0.512/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 12 | ✓ |
| t3a.xlarge 1 | 1.024/5.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| t3a.2xlarge 1 | 2.048/5.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| T4g | ||||||||
| t4g.nano 1 | 0.032/5.0 | ✗ | ✓ | ✗ | 1 | 2 | 2 | ✓ |
| t4g.micro 1 | 0.064/5.0 | ✗ | ✓ | ✗ | 1 | 2 | 2 | ✓ |
| t4g.small 1 | 0.128/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 4 | ✓ |
| t4g.medium 1 | 0.256/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 6 | ✓ |
| t4g.large 1 | 0.512/ 5.0 | ✗ | ✓ | ✗ | 1 | 3 | 12 | ✓ |
| t4g.xlarge 1 | 1.024/5.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| t4g.2xlarge 1 | 2.048/5.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
注意
1 这些实例具有基准带宽，可以尽最大努力使用网络 I/O 积分机制突破其基准带宽。其他实例类型可以无限期地保持其最大性能。有关更多信息，请参阅实例网络带宽。
对于支持 200Gbps 的 32xlarge 和 metal 实例类型，实例上至少需要 2 个 ENI，并且每个 ENI 需要连接到不同的网卡，才能达到 200Gbps 的吞吐量。连接到网卡的每个 ENI 最大可达到 170Gbps。
亚马逊 EBS 规格
| 实例类型 | 基准/最大带宽 (Mbps) | 基准/最大吞吐量（MB/s，128 KiB I/O） | 基准/最大 IOPS（16 KiB I/O） | NVMe | EBS 优化 2 |
|---|---|---|---|---|---|
| M5 | |||||
| m5.large 1 | 650.00/4750.00 | 81.25/593.75 | 3600.00/18750.00 | ✓ | 默认值 |
| m5.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | 默认值 |
| m5.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | 默认值 |
| m5.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | 默认值 |
| m5.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | 默认值 |
| m5.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m5.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | 默认值 |
| m5.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5a | |||||
| m5a.large 1 | 650.00/2880.00 | 81.25/ 360.00 | 3600.00/16000.00 | ✓ | 默认值 |
| m5a.xlarge 1 | 1085.00/2880.00 | 135.62/360.00 | 6000.00/16000.00 | ✓ | 默认值 |
| m5a.2xlarge 1 | 1580.00/2880.00 | 197.50/360.00 | 8333.00/16000.00 | ✓ | 默认值 |
| m5a.4xlarge | 2880.00 | 360.00 | 16000.00 | ✓ | 默认值 |
| m5a.8xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| m5a.12xlarge | 6780.00 | 847.50 | 30000.00 | ✓ | 默认值 |
| m5a.16xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m5a.24xlarge | 13750.00 | 1718.75 | 60000.00 | ✓ | 默认值 |
| m5ad | |||||
| m5ad.large 1 | 650.00/2880.00 | 81.25/ 360.00 | 3600.00/16000.00 | ✓ | 默认值 |
| m5ad.xlarge 1 | 1085.00/2880.00 | 135.62/360.00 | 6000.00/16000.00 | ✓ | 默认值 |
| m5ad.2xlarge 1 | 1580.00/2880.00 | 197.50/360.00 | 8333.00/16000.00 | ✓ | 默认值 |
| m5ad.4xlarge | 2880.00 | 360.00 | 16000.00 | ✓ | 默认值 |
| m5ad.8xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| m5ad.12xlarge | 6780.00 | 847.50 | 30000.00 | ✓ | 默认值 |
| m5ad.16xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m5ad.24xlarge | 13750.00 | 1718.75 | 60000.00 | ✓ | 默认值 |
| m5d | |||||
| m5d.large 1 | 650.00/4750.00 | 81.25/593.75 | 3600.00/18750.00 | ✓ | 默认值 |
| m5d.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | 默认值 |
| m5d.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | 默认值 |
| m5d.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | 默认值 |
| m5d.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | 默认值 |
| m5d.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m5d.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | 默认值 |
| m5d.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5d.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5dn | |||||
| m5dn.large 1 | 650.00/4750.00 | 81.25/593.75 | 3600.00/18750.00 | ✓ | 默认值 |
| m5dn.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | 默认值 |
| m5dn.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | 默认值 |
| m5dn.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | 默认值 |
| m5dn.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | 默认值 |
| m5dn.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m5dn.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | 默认值 |
| m5dn.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5dn.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5n | |||||
| m5n.large 1 | 650.00/4750.00 | 81.25/593.75 | 3600.00/18750.00 | ✓ | 默认值 |
| m5n.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | 默认值 |
| m5n.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | 默认值 |
| m5n.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | 默认值 |
| m5n.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | 默认值 |
| m5n.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m5n.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | 默认值 |
| m5n.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5n.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5Zn | |||||
| m5zn.large 1 | 800.00 /3170.00 | 100.00/396.25 | 3333.00/13333.00 | ✓ | 默认值 |
| m5zn.xlarge 1 | 1564.00/3170.00 | 195.50/396.25 | 6667.00/13333.00 | ✓ | 默认值 |
| m5zn.2xlarge | 3170.00 | 396.25 | 13333.00 | ✓ | 默认值 |
| m5zn.3xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| m5zn.6xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m5zn.12xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m5zn.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m6a | |||||
| m6a.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m6a.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m6a.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m6a.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| m6a.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| m6a.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | 默认值 |
| m6a.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m6a.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| m6a.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | 默认值 |
| m6a.48xlarge | 40000.00 | 5000.00 | 240000.00 | ✓ | 默认值 |
| m6a.metal | 40000.00 | 5000.00 | 240000.00 | ✓ | 默认值 |
| m6g | |||||
| m6g.medium 1 | 315.00/4750.00 | 39.38/593.75 | 2500.00/20000.00 | ✓ | 默认值 |
| m6g.large 1 | 630.00/4750.00 | 78.75/593.75 | 3600.00/20000.00 | ✓ | 默认值 |
| m6g.xlarge 1 | 1188.00 /4750.00 | 148.50/593.75 | 6000.00/20000.00 | ✓ | 默认值 |
| m6g.2xlarge 1 | 2375.00 /4750.00 | 296.88/593.75 | 12000.00/20000.00 | ✓ | 默认值 |
| m6g.4xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| m6g.8xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m6g.12xlarge | 14250.00 | 1781.25 | 50000.00 | ✓ | 默认值 |
| m6g.16xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m6g.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m6gD | |||||
| m6gd.medium 1 | 315.00/4750.00 | 39.38/593.75 | 2500.00/20000.00 | ✓ | 默认值 |
| m6gd.large 1 | 630.00/4750.00 | 78.75/593.75 | 3600.00/20000.00 | ✓ | 默认值 |
| m6gd.xlarge 1 | 1188.00 /4750.00 | 148.50/593.75 | 6000.00/20000.00 | ✓ | 默认值 |
| m6gd.2xlarge 1 | 2375.00 /4750.00 | 296.88/593.75 | 12000.00/20000.00 | ✓ | 默认值 |
| m6gd.4xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| m6gd.8xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| m6gd.12xlarge | 14250.00 | 1781.25 | 50000.00 | ✓ | 默认值 |
| m6gd.16xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m6gd.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| m6i | |||||
| m6i.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m6i.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m6i.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m6i.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| m6i.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| m6i.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | 默认值 |
| m6i.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m6i.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| m6i.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | 默认值 |
| m6i.metal | 40000.00 | 5000.00 | 160000.00 | ✓ | 默认值 |
| m6id | |||||
| m6id.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m6id.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m6id.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m6id.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| m6id.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| m6id.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | 默认值 |
| m6id.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m6id.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| m6id.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | 默认值 |
| m6id.metal | 40000.00 | 5000.00 | 160000.00 | ✓ | 默认值 |
| m6iDN | |||||
| m6idn.large 1 | 1562.00/250000.00 | 195.31/ 3125.00 | 6250.00/100000.00 | ✓ | 默认值 |
| m6idn.xlarge 1 | 3125.00/250000.00 | 390.62/3125.00 | 12500.00/100000.00 | ✓ | 默认值 |
| m6idn.2xlarge 1 | 6250.00/250000.00 | 781.25/3125.00 | 250000.00/100000.00 | ✓ | 默认值 |
| m6idn.4xlarge 1 | 12500.00/250000.00 | 1562.50/3125.00 | 50000.00/100000.00 | ✓ | 默认值 |
| m6idn.8xlarge | 250000.00 | 3125.00 | 100000.00 | ✓ | 默认值 |
| m6idn.12xlarge | 37500.00 | 4687.50 | 150000.00 | ✓ | 默认值 |
| m6idn.16xlarge | 50000.00 | 6250.00 | 200000.00 | ✓ | 默认值 |
| m6idn.24xlarge | 75000.00 | 9375.00 | 300000.00 | ✓ | 默认值 |
| m6idn.32xlarge | 100000.00 | 12500.00 | 400000.00 | ✓ | 默认值 |
| m6idn.metal | 100000.00 | 12500.00 | 400000.00 | ✓ | 默认值 |
| m6in | |||||
| m6in.large 1 | 1562.00/250000.00 | 195.31/ 3125.00 | 6250.00/100000.00 | ✓ | 默认值 |
| m6in.xlarge 1 | 3125.00/250000.00 | 390.62/3125.00 | 12500.00/100000.00 | ✓ | 默认值 |
| m6in.2xlarge 1 | 6250.00/250000.00 | 781.25/3125.00 | 250000.00/100000.00 | ✓ | 默认值 |
| m6in.4xlarge 1 | 12500.00/250000.00 | 1562.50/3125.00 | 50000.00/100000.00 | ✓ | 默认值 |
| m6in.8xlarge | 250000.00 | 3125.00 | 100000.00 | ✓ | 默认值 |
| m6in.12xlarge | 37500.00 | 4687.50 | 150000.00 | ✓ | 默认值 |
| m6in.16xlarge | 50000.00 | 6250.00 | 200000.00 | ✓ | 默认值 |
| m6in.24xlarge | 75000.00 | 9375.00 | 300000.00 | ✓ | 默认值 |
| m6in.32xlarge | 100000.00 | 12500.00 | 400000.00 | ✓ | 默认值 |
| m6in.metal | 100000.00 | 12500.00 | 400000.00 | ✓ | 默认值 |
| m7a | |||||
| m7a.medium 1 | 325.00/10000.00 | 40.62/1250.00 | 2500.00/40000.00 | ✓ | 默认值 |
| m7a.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m7a.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m7a.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m7a.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| m7a.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| m7a.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | 默认值 |
| m7a.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m7a.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| m7a.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | 默认值 |
| m7a.48xlarge | 40000.00 | 5000.00 | 240000.00 | ✓ | 默认值 |
| m7a.metal-48xl | 40000.00 | 5000.00 | 240000.00 | ✓ | 默认值 |
| m7g | |||||
| m7g.medium 1 | 315.00/10000.00 | 39.38/1250.00 | 2500.00/40000.00 | ✓ | 默认值 |
| m7g.large 1 | 630.00/1000.00 | 78.75/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m7g.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m7g.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m7g.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| m7g.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| m7g.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | 默认值 |
| m7g.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m7g.metal | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m7gD | |||||
| m7gd.medium 1 | 315.00/10000.00 | 39.38/1250.00 | 2500.00/40000.00 | ✓ | 默认值 |
| m7gd.large 1 | 630.00/1000.00 | 78.75/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m7gd.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m7gd.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m7gd.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| m7gd.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| m7gd.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | 默认值 |
| m7gd.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m7gd.metal | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m7i | |||||
| m7i.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m7i.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m7i.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m7i.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| m7i.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| m7i.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | 默认值 |
| m7i.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| m7i.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| m7i.48xlarge | 40000.00 | 5000.00 | 240000.00 | ✓ | 默认值 |
| m7i.metal-24xl | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| m7i.metal-48xl | 40000.00 | 5000.00 | 240000.00 | ✓ | 默认值 |
| m7i-flex | |||||
| m7i-flex.large 1 | 312.00/10000.00 | 39.06/1250.00 | 2500.00/40000.00 | ✓ | 默认值 |
| m7i-flex.xlarge 1 | 625.00/10000.00 | 78.12/1250.00 | 3600.00/40000.00 | ✓ | 默认值 |
| m7i-flex.2xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| m7i-flex.4xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | 默认值 |
| m7i-flex.8xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | 默认值 |
| Mac1 | |||||
| mac1.metal | 14000.00 | 1750.00 | 80000.00 | ✓ | 默认值 |
| Mac2 | |||||
| mac2.metal | 10000.00 | 1250.00 | 55000.00 | ✓ | 默认值 |
| mac2-m2 | |||||
| mac2-m2.metal | 8000.00 | 1000.00 | 55000.00 | ✓ | 默认值 |
| mac2-m2Pro | |||||
| mac2-m2pro.metal | 8000.00 | 1000.00 | 55000.00 | ✓ | 默认值 |
| T2 | |||||
| T3 | |||||
| t3.nano 1 | 43.00/2085.00 | 5.38/260.62 | 250.00/11800.00 | ✓ | 默认值 |
| t3.micro 1 | 87.00/2085.00 | 10.88/260.62 | 500.00/11800.00 | ✓ | 默认值 |
| t3.small 1 | 174.00/2085.00 | 21.75/260.62 | 1000.00/11800.00 | ✓ | 默认值 |
| t3.medium 1 | 347.00/2085.00 | 43.38/260.62 | 2000.00/11800.00 | ✓ | 默认值 |
| t3.large 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| t3.xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| t3.2xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| T3a | |||||
| t3a.nano 1 | 45.00/2085.00 | 5.62/260.62 | 250.00/11800.00 | ✓ | 默认值 |
| t3a.micro 1 | 90.00/2085.00 | 11.25/ 260.62 | 500.00/11800.00 | ✓ | 默认值 |
| t3a.small 1 | 175.00/2085.00 | 21.88/260.62 | 1000.00/11800.00 | ✓ | 默认值 |
| t3a.medium 1 | 350.00/2085.00 | 43.75/260.62 | 2000.00/11800.00 | ✓ | 默认值 |
| t3a.large 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| t3a.xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| t3a.2xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| T4g | |||||
| t4g.nano 1 | 43.00/2085.00 | 5.38/260.62 | 250.00/11800.00 | ✓ | 默认值 |
| t4g.micro 1 | 87.00/2085.00 | 10.88/260.62 | 500.00/11800.00 | ✓ | 默认值 |
| t4g.small 1 | 174.00/2085.00 | 21.75/260.62 | 1000.00/11800.00 | ✓ | 默认值 |
| t4g.medium 1 | 347.00/2085.00 | 43.38/260.62 | 2000.00/11800.00 | ✓ | 默认值 |
| t4g.large 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| t4g.xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
| t4g.2xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | 默认值 |
注意
1 这些实例可以至少每 24 小时支持一次 30 分钟的最大性能，之后会恢复到基线性能。其他实例保持最高性能的时间不确定。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。
2 default 表示默认情况下实例已启用 EBS 优化。 supported表示可以选择启用实例以进行 EBS 优化。有关更多信息，请参阅 Amazon EBS 优化的实例。
实例存储规格
| 实例类型 | 实例存储卷 | 实例存储类型 | 读/写性能 (IOPS) | 需要初始化 1 | 修剪支持 2 |
|---|---|---|---|---|---|
| m5ad | |||||
| m5ad.large | 1 x 75GB | NVMe SSD | 30,000/15,000 | ✓ | |
| m5ad.xlarge | 1 x 150GB | NVMe SSD | 59,000 /29,000 | ✓ | |
| m5ad.2xlarge | 1 x 300GB | NVMe SSD | 117,000 /57,000 | ✓ | |
| m5ad.4xlarge | 2 x 300 GB | NVMe SSD | 234,000 /114,000 | ✓ | |
| m5ad.8xlarge | 2 x 600 GB | NVMe SSD | 466,666 /233,334 | ✓ | |
| m5ad.12xlarge | 2 x 900 GB | NVMe SSD | 700,000 /340,000 | ✓ | |
| m5ad.16xlarge | 4 x 600 GB | NVMe SSD | 933,332 /4666,668 | ✓ | |
| m5ad.24xlarge | 4 x 900 GB | NVMe SSD | 140万/680,000 | ✓ | |
| m5d | |||||
| m5d.large | 1 x 75GB | NVMe SSD | 30,000/15,000 | ✓ | |
| m5d.xlarge | 1 x 150GB | NVMe SSD | 59,000 /29,000 | ✓ | |
| m5d.2xlarge | 1 x 300GB | NVMe SSD | 117,000 /57,000 | ✓ | |
| m5d.4xlarge | 2 x 300 GB | NVMe SSD | 234,000 /114,000 | ✓ | |
| m5d.8xlarge | 2 x 600 GB | NVMe SSD | 466,666 /233,334 | ✓ | |
| m5d.12xlarge | 2 x 900 GB | NVMe SSD | 700,000 /340,000 | ✓ | |
| m5d.16xlarge | 4 x 600 GB | NVMe SSD | 933,332 /4666,668 | ✓ | |
| m5d.24xlarge | 4 x 900 GB | NVMe SSD | 140万/680,000 | ✓ | |
| m5d.metal | 4 x 900 GB | NVMe SSD | 140万/680,000 | ✓ | |
| m5dn | |||||
| m5dn.large | 1 x 75GB | NVMe SSD | 29,000 /14,500 | ✓ | |
| m5dn.xlarge | 1 x 150GB | NVMe SSD | 58,000 /29,000 | ✓ | |
| m5dn.2xlarge | 1 x 300GB | NVMe SSD | 116,000 /58,000 | ✓ | |
| m5dn.4xlarge | 2 x 300 GB | NVMe SSD | 232,000 /116,000 | ✓ | |
| m5dn.8xlarge | 2 x 600 GB | NVMe SSD | 464,000/232,000 | ✓ | |
| m5dn.12xlarge | 2 x 900 GB | NVMe SSD | 700,000 /350,000 | ✓ | |
| m5dn.16xlarge | 4 x 600 GB | NVMe SSD | 930,000/465,000 | ✓ | |
| m5dn.24xlarge | 4 x 900 GB | NVMe SSD | 140万/700,000 | ✓ | |
| m5dn.metal | 4 x 900 GB | NVMe SSD | 140万/700,000 | ✓ | |
| m6gD | |||||
| m6gd.medium | 1 x 59 GB | NVMe SSD | 13,438 /5,625 | ✓ | |
| m6gd.large | 1 x 118 GB | NVMe SSD | 26,875 /11,250 | ✓ | |
| m6gd.xlarge | 1 x 237 GB | NVMe SSD | 53,750/22,500 | ✓ | |
| m6gd.2xlarge | 1 x 474 GB | NVMe SSD | 107,500 /45,000 | ✓ | |
| m6gd.4xlarge | 1 x 950 GB | NVMe SSD | 215,000 /90,000 | ✓ | |
| m6gd.8xlarge | 1 x 1900 GB | NVMe SSD | 430,000 /180,000 | ✓ | |
| m6gd.12xlarge | 2 x 1425 GB | NVMe SSD | 645,000 /270,000 | ✓ | |
| m6gd.16xlarge | 2 x 1900 GB | NVMe SSD | 860,000 /360,000 | ✓ | |
| m6gd.metal | 2 x 1900 GB | NVMe SSD | 860,000 /360,000 | ✓ | |
| m6id | |||||
| m6id.large | 1 x 118 GB | NVMe SSD | 33,542/16,771 | ✓ | |
| m6id.xlarge | 1 x 237 GB | NVMe SSD | 67,083 /33,542 | ✓ | |
| m6id.2xlarge | 1 x 474 GB | NVMe SSD | 134,167/67,084 | ✓ | |
| m6id.4xlarge | 1 x 950 GB | NVMe SSD | 268,333 /134,167 | ✓ | |
| m6id.8xlarge | 1 x 1900 GB | NVMe SSD | 536,666/ 268,334 | ✓ | |
| m6id.12xlarge | 2 x 1425 GB | NVMe SSD | 804,998/402,500 | ✓ | |
| m6id.16xlarge | 2 x 1900 GB | NVMe SSD | 1,073,332 /536,668 | ✓ | |
| m6id.24xlarge | 4 x 1425 GB | NVMe SSD | 1,609,996 /805,000 | ✓ | |
| m6id.32xlarge | 4 x 1900 GB | NVMe SSD | 2,146,664 /1,073,336 | ✓ | |
| m6id.metal | 4 x 1900 GB | NVMe SSD | 2,146,664 /1,073,336 | ✓ | |
| m6iDN | |||||
| m6idn.large | 1 x 118 GB | NVMe SSD | 33,542/16,771 | ✓ | |
| m6idn.xlarge | 1 x 237 GB | NVMe SSD | 67,083 /33,542 | ✓ | |
| m6idn.2xlarge | 1 x 474 GB | NVMe SSD | 134,167/67,084 | ✓ | |
| m6idn.4xlarge | 1 x 950 GB | NVMe SSD | 268,333 /134,167 | ✓ | |
| m6idn.8xlarge | 1 x 1900 GB | NVMe SSD | 536,666/ 268,334 | ✓ | |
| m6idn.12xlarge | 2 x 1425 GB | NVMe SSD | 804,998/402,500 | ✓ | |
| m6idn.16xlarge | 2 x 1900 GB | NVMe SSD | 1,073,332 /536,668 | ✓ | |
| m6idn.24xlarge | 4 x 1425 GB | NVMe SSD | 1,609,996 /805,000 | ✓ | |
| m6idn.32xlarge | 4 x 1900 GB | NVMe SSD | 2,146,664 /1,073,336 | ✓ | |
| m6idn.metal | 4 x 1900 GB | NVMe SSD | 2,146,664 /1,073,336 | ✓ | |
| m7gD | |||||
| m7gd.medium | 1 x 59 GB | NVMe SSD | 16,771/8,385 | ✓ | |
| m7gd.large | 1 x 118 GB | NVMe SSD | 33,542/16,771 | ✓ | |
| m7gd.xlarge | 1 x 237 GB | NVMe SSD | 67,083 /33,542 | ✓ | |
| m7gd.2xlarge | 1 x 474 GB | NVMe SSD | 134,167/67,084 | ✓ | |
| m7gd.4xlarge | 1 x 950 GB | NVMe SSD | 268,333 /134,167 | ✓ | |
| m7gd.8xlarge | 1 x 1900 GB | NVMe SSD | 536,666/ 268,334 | ✓ | |
| m7gd.12xlarge | 2 x 1425 GB | NVMe SSD | 804,998/402,500 | ✓ | |
| m7gd.16xlarge | 2 x 1900 GB | NVMe SSD | 1,073,332 /536,668 | ✓ | |
| m7gd.metal | 2 x 1900 GB | NVMe SSD | 1,073,332 /536,668 | ✓ | |
1 除非初始化，否则连接到某些实例的卷将受到首次写入惩罚。有关更多信息，请参阅优化实例存储卷的磁盘性能。
2 有关更多信息，请参阅实例存储卷 TRIM 支持。
安全规范
| 实例类型 | EBS 加密 | 实例存储加密 | 传输中加密 | AMD SEV-SNP | NitroTPM | Nitro 飞地 |
|---|---|---|---|---|---|---|
| M5 | ||||||
| m5.large | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| m5.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5.4xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5.8xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5.12xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5.16xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5.24xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5.metal | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| m5a | ||||||
| m5a.large | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| m5a.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5a.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5a.4xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5a.8xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5a.12xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5a.16xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5a.24xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✓ |
| m5ad | ||||||
| m5ad.large | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ |
| m5ad.xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5ad.2xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5ad.4xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5ad.8xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5ad.12xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5ad.16xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5ad.24xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d | ||||||
| m5d.large | ✓ | ✓ | ✗ | ✗ | ✓ | ✗ |
| m5d.xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d.2xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d.4xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d.8xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d.12xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d.16xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d.24xlarge | ✓ | ✓ | ✗ | ✗ | ✓ | ✓ |
| m5d.metal | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
| m5dn | ||||||
| m5dn.large | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ |
| m5dn.xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m5dn.2xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m5dn.4xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m5dn.8xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m5dn.12xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m5dn.16xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m5dn.24xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m5dn.metal | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m5n | ||||||
| m5n.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m5n.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5n.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5n.4xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5n.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5n.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5n.16xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5n.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5n.metal | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m5Zn | ||||||
| m5zn.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m5zn.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5zn.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5zn.3xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5zn.6xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5zn.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m5zn.metal | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m6a | ||||||
| m6a.large | ✓ | 不支持实例存储 | ✓ | ✓ | ✓ | ✗ |
| m6a.xlarge | ✓ | 不支持实例存储 | ✓ | ✓ | ✓ | ✓ |
| m6a.2xlarge | ✓ | 不支持实例存储 | ✓ | ✓ | ✓ | ✓ |
| m6a.4xlarge | ✓ | 不支持实例存储 | ✓ | ✓ | ✓ | ✓ |
| m6a.8xlarge | ✓ | 不支持实例存储 | ✓ | ✓ | ✓ | ✓ |
| m6a.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6a.16xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6a.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6a.32xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6a.48xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6a.metal | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m6g | ||||||
| m6g.medium | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| m6g.large | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✓ |
| m6g.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✓ |
| m6g.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✓ |
| m6g.4xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✓ |
| m6g.8xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✓ |
| m6g.12xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✓ |
| m6g.16xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✓ |
| m6g.metal | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| m6gD | ||||||
| m6gd.medium | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
| m6gd.large | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
| m6gd.xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
| m6gd.2xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
| m6gd.4xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
| m6gd.8xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
| m6gd.12xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
| m6gd.16xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
| m6gd.metal | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
| m6i | ||||||
| m6i.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m6i.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.4xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.16xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.32xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6i.metal | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m6id | ||||||
| m6id.large | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ |
| m6id.xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.2xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.4xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.8xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.12xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.16xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.24xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.32xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6id.metal | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m6iDN | ||||||
| m6idn.large | ✓ | ✓ | ✓ | ✗ | ✓ | ✗ |
| m6idn.xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.2xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.4xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.8xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.12xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.16xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.24xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.32xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| m6idn.metal | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m6in | ||||||
| m6in.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m6in.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.4xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.16xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.32xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| m6in.metal | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7a | ||||||
| m7a.medium | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.4xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.16xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.32xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.48xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7a.metal-48xl | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g | ||||||
| m7g.medium | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.4xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.16xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7g.metal | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7gD | ||||||
| m7gd.medium | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.large | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.2xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.4xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.8xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.12xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.16xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7gd.metal | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| m7i | ||||||
| m7i.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.4xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.12xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.16xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.48xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i.metal-24xl | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7i.metal-48xl | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| m7i-flex | ||||||
| m7i-flex.large | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i-flex.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i-flex.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i-flex.4xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| m7i-flex.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✗ |
| Mac1 | ||||||
| mac1.metal | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| Mac2 | ||||||
| mac2.metal | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| mac2-m2 | ||||||
| mac2-m2.metal | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| mac2-m2Pro | ||||||
| mac2-m2pro.metal | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| T2 | ||||||
| t2.nano | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t2.micro | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t2.small | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t2.medium | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t2.large | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t2.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t2.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| T3 | ||||||
| t3.nano | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3.micro | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3.small | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3.medium | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3.large | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| T3a | ||||||
| t3a.nano | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3a.micro | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3a.small | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3a.medium | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3a.large | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3a.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| t3a.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✓ | ✗ |
| T4g | ||||||
| t4g.nano | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t4g.micro | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t4g.small | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t4g.medium | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t4g.large | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t4g.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| t4g.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |