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Amazon EC2 通用型实例的规格
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。
有关此类别的上一代实例类型(例如 M4 实例)的信息,请参阅Amazon EC2 上一代实例的规格。
定价
有关定价信息,请参阅 Amazon EC2 按需定价
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-m1Ultra | mac2-m1ultra.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 | Nitro v2 | Intel (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
M5a | Nitro v2 | AMD (x86_64) | ✗ | ✓ | ✓ | ✓ | Windows | Linux |
M5ad | Nitro v2 | AMD (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
M5d | Nitro v2 | Intel (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
M5dn | Nitro v3 | Intel (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
M5n | Nitro v3 | Intel (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
M5zn | Nitro v3 | Intel (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
M6a | Nitro v4 | AMD (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
M6g | Nitro v2 | AWS Graviton (arm64) | ✓ | ✓ | ✓ | ✓ | Linux |
M6gd | Nitro v2 | AWS Graviton (arm64) | ✓ | ✓ | ✓ | ✓ | Linux |
M6i | Nitro v4 | Intel (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
M6id | Nitro v4 | Intel (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
M6idn | Nitro v4 | Intel (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
M6in | Nitro v4 | Intel (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
M7a | Nitro v4 | AMD (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
M7g | Nitro v4 | AWS Graviton (arm64) | ✓ | ✓ | ✓ | ✓ | Linux |
M7gd | Nitro v4 | AWS Graviton (arm64) | ✓ | ✓ | ✓ | ✓ | Linux |
M7i | Nitro v4 | Intel (x86_64) | ✓ | ✓ | ✓ | ✓ | Windows | Linux |
M7i-flex | Nitro v4 | Intel (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
Mac1 | Nitro v2 | Intel (x86_64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
Mac2 | Nitro v2 | Apple (arm64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
mac2-m1Ultra | Nitro v2 | Apple (arm64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
Mac2-m2 | Nitro v2 | Apple (arm64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
Mac2-m2pro | Nitro v2 | Apple (arm64_mac) | ✓ | ✓ | ✗ | ✗ | Linux |
T2 | Xen | Intel (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
T3 | Nitro v2 | Intel (x86_64) | ✗ | ✓ | ✓ | ✓ | Windows | Linux |
T3a | Nitro v2 | AMD (x86_64) | ✗ | ✗ | ✓ | ✓ | Windows | Linux |
T4g | Nitro v2 | AWS Graviton (arm64) | ✗ | ✗ | ✓ | ✗ | Linux |
性能规格
实例类型 | Burstable | 内存 (GiB) | 处理器 | vCPUs | CPU核心 | 每个内核的线程数 | 加速器 | 加速器内存 |
---|---|---|---|---|---|---|---|---|
M5 | ||||||||
m5.large | ✗ | 8.00 | Intel Xeon Platinum 8175 | 2 | 1 | 2 | ✗ | ✗ |
m5.xlarge | ✗ | 16.00 | Intel Xeon Platinum 8175 | 4 | 2 | 2 | ✗ | ✗ |
m5.2xlarge | ✗ | 32.00 | Intel Xeon Platinum 8175 | 8 | 4 | 2 | ✗ | ✗ |
m5.4xlarge | ✗ | 64.00 | Intel Xeon Platinum 8175 | 16 | 8 | 2 | ✗ | ✗ |
m5.8xlarge | ✗ | 128.00 | Intel Xeon Platinum 8175 | 32 | 16 | 2 | ✗ | ✗ |
m5.12xlarge | ✗ | 192.00 | Intel Xeon Platinum 8175 | 48 | 24 | 2 | ✗ | ✗ |
m5.16xlarge | ✗ | 256.00 | Intel Xeon Platinum 8175 | 64 | 32 | 2 | ✗ | ✗ |
m5.24xlarge | ✗ | 384.00 | Intel Xeon Platinum 8175 | 96 | 48 | 2 | ✗ | ✗ |
m5.metal | ✗ | 384.00 | Intel Xeon Platinum 8175 | 96 | 48 | 2 | ✗ | ✗ |
m5a | ||||||||
m5a.large | ✗ | 8.00 | AMD EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
m5a.xlarge | ✗ | 16.00 | AMD EPYC 7571 | 4 | 2 | 2 | ✗ | ✗ |
m5a.2xlarge | ✗ | 32.00 | AMD EPYC 7571 | 8 | 4 | 2 | ✗ | ✗ |
m5a.4xlarge | ✗ | 64.00 | AMD EPYC 7571 | 16 | 8 | 2 | ✗ | ✗ |
m5a.8xlarge | ✗ | 128.00 | AMD EPYC 7571 | 32 | 16 | 2 | ✗ | ✗ |
m5a.12xlarge | ✗ | 192.00 | AMD EPYC 7571 | 48 | 24 | 2 | ✗ | ✗ |
m5a.16xlarge | ✗ | 256.00 | AMD EPYC 7571 | 64 | 32 | 2 | ✗ | ✗ |
m5a.24xlarge | ✗ | 384.00 | AMD EPYC 7571 | 96 | 48 | 2 | ✗ | ✗ |
m5ad | ||||||||
m5ad.large | ✗ | 8.00 | AMD EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
m5ad.xlarge | ✗ | 16.00 | AMD EPYC 7571 | 4 | 2 | 2 | ✗ | ✗ |
m5ad.2xlarge | ✗ | 32.00 | AMD EPYC 7571 | 8 | 4 | 2 | ✗ | ✗ |
m5ad.4xlarge | ✗ | 64.00 | AMD EPYC 7571 | 16 | 8 | 2 | ✗ | ✗ |
m5ad.8xlarge | ✗ | 128.00 | AMD EPYC 7571 | 32 | 16 | 2 | ✗ | ✗ |
m5ad.12xlarge | ✗ | 192.00 | AMD EPYC 7571 | 48 | 24 | 2 | ✗ | ✗ |
m5ad.16xlarge | ✗ | 256.00 | AMD EPYC 7571 | 64 | 32 | 2 | ✗ | ✗ |
m5ad.24xlarge | ✗ | 384.00 | AMD EPYC 7571 | 96 | 48 | 2 | ✗ | ✗ |
m5d | ||||||||
m5d.large | ✗ | 8.00 | Intel Xeon Platinum 8175 | 2 | 1 | 2 | ✗ | ✗ |
m5d.xlarge | ✗ | 16.00 | Intel Xeon Platinum 8175 | 4 | 2 | 2 | ✗ | ✗ |
m5d.2xlarge | ✗ | 32.00 | Intel Xeon Platinum 8175 | 8 | 4 | 2 | ✗ | ✗ |
m5d.4xlarge | ✗ | 64.00 | Intel Xeon Platinum 8175 | 16 | 8 | 2 | ✗ | ✗ |
m5d.8xlarge | ✗ | 128.00 | Intel Xeon Platinum 8175 | 32 | 16 | 2 | ✗ | ✗ |
m5d.12xlarge | ✗ | 192.00 | Intel Xeon Platinum 8175 | 48 | 24 | 2 | ✗ | ✗ |
m5d.16xlarge | ✗ | 256.00 | Intel Xeon Platinum 8175 | 64 | 32 | 2 | ✗ | ✗ |
m5d.24xlarge | ✗ | 384.00 | Intel Xeon Platinum 8175 | 96 | 48 | 2 | ✗ | ✗ |
m5d.metal | ✗ | 384.00 | Intel Xeon Platinum 8175 | 96 | 48 | 2 | ✗ | ✗ |
m5dn | ||||||||
m5dn.large | ✗ | 8.00 | Intel Xeon Platinum 8259 | 2 | 1 | 2 | ✗ | ✗ |
m5dn.xlarge | ✗ | 16.00 | Intel Xeon Platinum 8259 | 4 | 2 | 2 | ✗ | ✗ |
m5dn.2xlarge | ✗ | 32.00 | Intel Xeon Platinum 8259 | 8 | 4 | 2 | ✗ | ✗ |
m5dn.4xlarge | ✗ | 64.00 | Intel Xeon Platinum 8259 | 16 | 8 | 2 | ✗ | ✗ |
m5dn.8xlarge | ✗ | 128.00 | Intel Xeon Platinum 8259 | 32 | 16 | 2 | ✗ | ✗ |
m5dn.12xlarge | ✗ | 192.00 | Intel Xeon Platinum 8259 | 48 | 24 | 2 | ✗ | ✗ |
m5dn.16xlarge | ✗ | 256.00 | Intel Xeon Platinum 8259 | 64 | 32 | 2 | ✗ | ✗ |
m5dn.24xlarge | ✗ | 384.00 | Intel Xeon Platinum 8259 | 96 | 48 | 2 | ✗ | ✗ |
m5dn.metal | ✗ | 384.00 | Intel Xeon Platinum 8259 | 96 | 48 | 2 | ✗ | ✗ |
m5n | ||||||||
m5n.large | ✗ | 8.00 | Intel Xeon Platinum 8259 | 2 | 1 | 2 | ✗ | ✗ |
m5n.xlarge | ✗ | 16.00 | Intel Xeon Platinum 8259 | 4 | 2 | 2 | ✗ | ✗ |
m5n.2xlarge | ✗ | 32.00 | Intel Xeon Platinum 8259 | 8 | 4 | 2 | ✗ | ✗ |
m5n.4xlarge | ✗ | 64.00 | Intel Xeon Platinum 8259 | 16 | 8 | 2 | ✗ | ✗ |
m5n.8xlarge | ✗ | 128.00 | Intel Xeon Platinum 8259 | 32 | 16 | 2 | ✗ | ✗ |
m5n.12xlarge | ✗ | 192.00 | Intel Xeon Platinum 8259 | 48 | 24 | 2 | ✗ | ✗ |
m5n.16xlarge | ✗ | 256.00 | Intel Xeon Platinum 8259 | 64 | 32 | 2 | ✗ | ✗ |
m5n.24xlarge | ✗ | 384.00 | Intel Xeon Platinum 8259 | 96 | 48 | 2 | ✗ | ✗ |
m5n.metal | ✗ | 384.00 | Intel Xeon Platinum 8259 | 96 | 48 | 2 | ✗ | ✗ |
m5Zn | ||||||||
m5zn.large | ✗ | 8.00 | Intel Xeon Platinum 8252 | 2 | 1 | 2 | ✗ | ✗ |
m5zn.xlarge | ✗ | 16.00 | Intel Xeon Platinum 8252 | 4 | 2 | 2 | ✗ | ✗ |
m5zn.2xlarge | ✗ | 32.00 | Intel Xeon Platinum 8252 | 8 | 4 | 2 | ✗ | ✗ |
m5zn.3xlarge | ✗ | 48.00 | Intel Xeon Platinum 8252 | 12 | 6 | 2 | ✗ | ✗ |
m5zn.6xlarge | ✗ | 96.00 | Intel Xeon Platinum 8252 | 24 | 12 | 2 | ✗ | ✗ |
m5zn.12xlarge | ✗ | 192.00 | Intel Xeon Platinum 8252 | 48 | 24 | 2 | ✗ | ✗ |
m5zn.metal | ✗ | 192.00 | Intel Xeon Platinum 8252 | 48 | 24 | 2 | ✗ | ✗ |
m6a | ||||||||
m6a.large | ✗ | 8.00 | AMD EPYC 7R13 | 2 | 1 | 2 | ✗ | ✗ |
m6a.xlarge | ✗ | 16.00 | AMD EPYC 7R13 | 4 | 2 | 2 | ✗ | ✗ |
m6a.2xlarge | ✗ | 32.00 | AMD EPYC 7R13 | 8 | 4 | 2 | ✗ | ✗ |
m6a.4xlarge | ✗ | 64.00 | AMD EPYC 7R13 | 16 | 8 | 2 | ✗ | ✗ |
m6a.8xlarge | ✗ | 128.00 | AMD EPYC 7R13 | 32 | 16 | 2 | ✗ | ✗ |
m6a.12xlarge | ✗ | 192.00 | AMD EPYC 7R13 | 48 | 24 | 2 | ✗ | ✗ |
m6a.16xlarge | ✗ | 256.00 | AMD EPYC 7R13 | 64 | 32 | 2 | ✗ | ✗ |
m6a.24xlarge | ✗ | 384.00 | AMD EPYC 7R13 | 96 | 48 | 2 | ✗ | ✗ |
m6a.32xlarge | ✗ | 512.00 | AMD EPYC 7R13 | 128 | 64 | 2 | ✗ | ✗ |
m6a.48xlarge | ✗ | 768.00 | AMD EPYC 7R13 | 192 | 96 | 2 | ✗ | ✗ |
m6a.metal | ✗ | 768.00 | AMD EPYC 7R13 | 192 | 96 | 2 | ✗ | ✗ |
m6g | ||||||||
m6g.medium | ✗ | 4.00 | AWS Graviton2 Processor | 1 | 1 | 1 | ✗ | ✗ |
m6g.large | ✗ | 8.00 | AWS Graviton2 Processor | 2 | 2 | 1 | ✗ | ✗ |
m6g.xlarge | ✗ | 16.00 | AWS Graviton2 Processor | 4 | 4 | 1 | ✗ | ✗ |
m6g.2xlarge | ✗ | 32.00 | AWS Graviton2 Processor | 8 | 8 | 1 | ✗ | ✗ |
m6g.4xlarge | ✗ | 64.00 | AWS Graviton2 Processor | 16 | 16 | 1 | ✗ | ✗ |
m6g.8xlarge | ✗ | 128.00 | AWS Graviton2 Processor | 32 | 32 | 1 | ✗ | ✗ |
m6g.12xlarge | ✗ | 192.00 | AWS Graviton2 Processor | 48 | 48 | 1 | ✗ | ✗ |
m6g.16xlarge | ✗ | 256.00 | AWS Graviton2 Processor | 64 | 64 | 1 | ✗ | ✗ |
m6g.metal | ✗ | 256.00 | AWS Graviton2 Processor | 64 | 64 | 1 | ✗ | ✗ |
m6gD | ||||||||
m6gd.medium | ✗ | 4.00 | AWS Graviton2 Processor | 1 | 1 | 1 | ✗ | ✗ |
m6gd.large | ✗ | 8.00 | AWS Graviton2 Processor | 2 | 2 | 1 | ✗ | ✗ |
m6gd.xlarge | ✗ | 16.00 | AWS Graviton2 Processor | 4 | 4 | 1 | ✗ | ✗ |
m6gd.2xlarge | ✗ | 32.00 | AWS Graviton2 Processor | 8 | 8 | 1 | ✗ | ✗ |
m6gd.4xlarge | ✗ | 64.00 | AWS Graviton2 Processor | 16 | 16 | 1 | ✗ | ✗ |
m6gd.8xlarge | ✗ | 128.00 | AWS Graviton2 Processor | 32 | 32 | 1 | ✗ | ✗ |
m6gd.12xlarge | ✗ | 192.00 | AWS Graviton2 Processor | 48 | 48 | 1 | ✗ | ✗ |
m6gd.16xlarge | ✗ | 256.00 | AWS Graviton2 Processor | 64 | 64 | 1 | ✗ | ✗ |
m6gd.metal | ✗ | 256.00 | AWS Graviton2 Processor | 64 | 64 | 1 | ✗ | ✗ |
m6i | ||||||||
m6i.large | ✗ | 8.00 | Intel Xeon Ice Lake | 2 | 1 | 2 | ✗ | ✗ |
m6i.xlarge | ✗ | 16.00 | Intel Xeon Ice Lake | 4 | 2 | 2 | ✗ | ✗ |
m6i.2xlarge | ✗ | 32.00 | Intel Xeon Ice Lake | 8 | 4 | 2 | ✗ | ✗ |
m6i.4xlarge | ✗ | 64.00 | Intel Xeon Ice Lake | 16 | 8 | 2 | ✗ | ✗ |
m6i.8xlarge | ✗ | 128.00 | Intel Xeon Ice Lake | 32 | 16 | 2 | ✗ | ✗ |
m6i.12xlarge | ✗ | 192.00 | Intel Xeon Ice Lake | 48 | 24 | 2 | ✗ | ✗ |
m6i.16xlarge | ✗ | 256.00 | Intel Xeon Ice Lake | 64 | 32 | 2 | ✗ | ✗ |
m6i.24xlarge | ✗ | 384.00 | Intel Xeon Ice Lake | 96 | 48 | 2 | ✗ | ✗ |
m6i.32xlarge | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m6i.metal | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m6id | ||||||||
m6id.large | ✗ | 8.00 | Intel Xeon Ice Lake | 2 | 1 | 2 | ✗ | ✗ |
m6id.xlarge | ✗ | 16.00 | Intel Xeon Ice Lake | 4 | 2 | 2 | ✗ | ✗ |
m6id.2xlarge | ✗ | 32.00 | Intel Xeon Ice Lake | 8 | 4 | 2 | ✗ | ✗ |
m6id.4xlarge | ✗ | 64.00 | Intel Xeon Ice Lake | 16 | 8 | 2 | ✗ | ✗ |
m6id.8xlarge | ✗ | 128.00 | Intel Xeon Ice Lake | 32 | 16 | 2 | ✗ | ✗ |
m6id.12xlarge | ✗ | 192.00 | Intel Xeon Ice Lake | 48 | 24 | 2 | ✗ | ✗ |
m6id.16xlarge | ✗ | 256.00 | Intel Xeon Ice Lake | 64 | 32 | 2 | ✗ | ✗ |
m6id.24xlarge | ✗ | 384.00 | Intel Xeon Ice Lake | 96 | 48 | 2 | ✗ | ✗ |
m6id.32xlarge | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m6id.metal | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m6iDN | ||||||||
m6idn.large | ✗ | 8.00 | Intel Xeon Ice Lake | 2 | 1 | 2 | ✗ | ✗ |
m6idn.xlarge | ✗ | 16.00 | Intel Xeon Ice Lake | 4 | 2 | 2 | ✗ | ✗ |
m6idn.2xlarge | ✗ | 32.00 | Intel Xeon Ice Lake | 8 | 4 | 2 | ✗ | ✗ |
m6idn.4xlarge | ✗ | 64.00 | Intel Xeon Ice Lake | 16 | 8 | 2 | ✗ | ✗ |
m6idn.8xlarge | ✗ | 128.00 | Intel Xeon Ice Lake | 32 | 16 | 2 | ✗ | ✗ |
m6idn.12xlarge | ✗ | 192.00 | Intel Xeon Ice Lake | 48 | 24 | 2 | ✗ | ✗ |
m6idn.16xlarge | ✗ | 256.00 | Intel Xeon Ice Lake | 64 | 32 | 2 | ✗ | ✗ |
m6idn.24xlarge | ✗ | 384.00 | Intel Xeon Ice Lake | 96 | 48 | 2 | ✗ | ✗ |
m6idn.32xlarge | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m6idn.metal | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m6in | ||||||||
m6in.large | ✗ | 8.00 | Intel Xeon Ice Lake | 2 | 1 | 2 | ✗ | ✗ |
m6in.xlarge | ✗ | 16.00 | Intel Xeon Ice Lake | 4 | 2 | 2 | ✗ | ✗ |
m6in.2xlarge | ✗ | 32.00 | Intel Xeon Ice Lake | 8 | 4 | 2 | ✗ | ✗ |
m6in.4xlarge | ✗ | 64.00 | Intel Xeon Ice Lake | 16 | 8 | 2 | ✗ | ✗ |
m6in.8xlarge | ✗ | 128.00 | Intel Xeon Ice Lake | 32 | 16 | 2 | ✗ | ✗ |
m6in.12xlarge | ✗ | 192.00 | Intel Xeon Ice Lake | 48 | 24 | 2 | ✗ | ✗ |
m6in.16xlarge | ✗ | 256.00 | Intel Xeon Ice Lake | 64 | 32 | 2 | ✗ | ✗ |
m6in.24xlarge | ✗ | 384.00 | Intel Xeon Ice Lake | 96 | 48 | 2 | ✗ | ✗ |
m6in.32xlarge | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m6in.metal | ✗ | 512.00 | Intel Xeon Ice Lake | 128 | 64 | 2 | ✗ | ✗ |
m7a | ||||||||
m7a.medium | ✗ | 4.00 | AMD EPYC 9R14 | 1 | 1 | 1 | ✗ | ✗ |
m7a.large | ✗ | 8.00 | AMD EPYC 9R14 | 2 | 2 | 1 | ✗ | ✗ |
m7a.xlarge | ✗ | 16.00 | AMD EPYC 9R14 | 4 | 4 | 1 | ✗ | ✗ |
m7a.2xlarge | ✗ | 32.00 | AMD EPYC 9R14 | 8 | 8 | 1 | ✗ | ✗ |
m7a.4xlarge | ✗ | 64.00 | AMD EPYC 9R14 | 16 | 16 | 1 | ✗ | ✗ |
m7a.8xlarge | ✗ | 128.00 | AMD EPYC 9R14 | 32 | 32 | 1 | ✗ | ✗ |
m7a.12xlarge | ✗ | 192.00 | AMD EPYC 9R14 | 48 | 48 | 1 | ✗ | ✗ |
m7a.16xlarge | ✗ | 256.00 | AMD EPYC 9R14 | 64 | 64 | 1 | ✗ | ✗ |
m7a.24xlarge | ✗ | 384.00 | AMD EPYC 9R14 | 96 | 96 | 1 | ✗ | ✗ |
m7a.32xlarge | ✗ | 512.00 | AMD EPYC 9R14 | 128 | 128 | 1 | ✗ | ✗ |
m7a.48xlarge | ✗ | 768.00 | AMD EPYC 9R14 | 192 | 192 | 1 | ✗ | ✗ |
m7a.metal-48xl | ✗ | 768.00 | AMD EPYC 9R14 | 192 | 192 | 1 | ✗ | ✗ |
m7g | ||||||||
m7g.medium | ✗ | 4.00 | AWS Graviton3 Processor | 1 | 1 | 1 | ✗ | ✗ |
m7g.large | ✗ | 8.00 | AWS Graviton3 Processor | 2 | 2 | 1 | ✗ | ✗ |
m7g.xlarge | ✗ | 16.00 | AWS Graviton3 Processor | 4 | 4 | 1 | ✗ | ✗ |
m7g.2xlarge | ✗ | 32.00 | AWS Graviton3 Processor | 8 | 8 | 1 | ✗ | ✗ |
m7g.4xlarge | ✗ | 64.00 | AWS Graviton3 Processor | 16 | 16 | 1 | ✗ | ✗ |
m7g.8xlarge | ✗ | 128.00 | AWS Graviton3 Processor | 32 | 32 | 1 | ✗ | ✗ |
m7g.12xlarge | ✗ | 192.00 | AWS Graviton3 Processor | 48 | 48 | 1 | ✗ | ✗ |
m7g.16xlarge | ✗ | 256.00 | AWS Graviton3 Processor | 64 | 64 | 1 | ✗ | ✗ |
m7g.metal | ✗ | 256.00 | AWS Graviton3 Processor | 64 | 64 | 1 | ✗ | ✗ |
m7gD | ||||||||
m7gd.medium | ✗ | 4.00 | AWS Graviton3 Processor | 1 | 1 | 1 | ✗ | ✗ |
m7gd.large | ✗ | 8.00 | AWS Graviton3 Processor | 2 | 2 | 1 | ✗ | ✗ |
m7gd.xlarge | ✗ | 16.00 | AWS Graviton3 Processor | 4 | 4 | 1 | ✗ | ✗ |
m7gd.2xlarge | ✗ | 32.00 | AWS Graviton3 Processor | 8 | 8 | 1 | ✗ | ✗ |
m7gd.4xlarge | ✗ | 64.00 | AWS Graviton3 Processor | 16 | 16 | 1 | ✗ | ✗ |
m7gd.8xlarge | ✗ | 128.00 | AWS Graviton3 Processor | 32 | 32 | 1 | ✗ | ✗ |
m7gd.12xlarge | ✗ | 192.00 | AWS Graviton3 Processor | 48 | 48 | 1 | ✗ | ✗ |
m7gd.16xlarge | ✗ | 256.00 | AWS Graviton3 Processor | 64 | 64 | 1 | ✗ | ✗ |
m7gd.metal | ✗ | 256.00 | AWS Graviton3 Processor | 64 | 64 | 1 | ✗ | ✗ |
m7i | ||||||||
m7i.large | ✗ | 8.00 | Intel Xeon Sapphire Rapids | 2 | 1 | 2 | ✗ | ✗ |
m7i.xlarge | ✗ | 16.00 | Intel Xeon Sapphire Rapids | 4 | 2 | 2 | ✗ | ✗ |
m7i.2xlarge | ✗ | 32.00 | Intel Xeon Sapphire Rapids | 8 | 4 | 2 | ✗ | ✗ |
m7i.4xlarge | ✗ | 64.00 | Intel Xeon Sapphire Rapids | 16 | 8 | 2 | ✗ | ✗ |
m7i.8xlarge | ✗ | 128.00 | Intel Xeon Sapphire Rapids | 32 | 16 | 2 | ✗ | ✗ |
m7i.12xlarge | ✗ | 192.00 | Intel Xeon Sapphire Rapids | 48 | 24 | 2 | ✗ | ✗ |
m7i.16xlarge | ✗ | 256.00 | Intel Xeon Sapphire Rapids | 64 | 32 | 2 | ✗ | ✗ |
m7i.24xlarge | ✗ | 384.00 | Intel Xeon Sapphire Rapids | 96 | 48 | 2 | ✗ | ✗ |
m7i.48xlarge | ✗ | 768.00 | Intel Xeon Sapphire Rapids | 192 | 96 | 2 | ✗ | ✗ |
m7i.metal-24xl | ✗ | 384.00 | Intel Xeon Sapphire Rapids | 96 | 48 | 2 | ✗ | ✗ |
m7i.metal-48xl | ✗ | 768.00 | Intel Xeon Sapphire Rapids | 192 | 96 | 2 | ✗ | ✗ |
m7i-flex | ||||||||
m7i-flex.large | ✗ | 8.00 | Intel Xeon Sapphire Rapids | 2 | 1 | 2 | ✗ | ✗ |
m7i-flex.xlarge | ✗ | 16.00 | Intel Xeon Sapphire Rapids | 4 | 2 | 2 | ✗ | ✗ |
m7i-flex.2xlarge | ✗ | 32.00 | Intel Xeon Sapphire Rapids | 8 | 4 | 2 | ✗ | ✗ |
m7i-flex.4xlarge | ✗ | 64.00 | Intel Xeon Sapphire Rapids | 16 | 8 | 2 | ✗ | ✗ |
m7i-flex.8xlarge | ✗ | 128.00 | Intel Xeon Sapphire Rapids | 32 | 16 | 2 | ✗ | ✗ |
Mac1 | ||||||||
mac1.metal | ✗ | 32.00 | Intel Core i7-8700B | 12 | 6 | 2 | ✗ | ✗ |
Mac2 | ||||||||
mac2.metal | ✗ | 16.00 | Apple M1 chip with 8-core CPU | 8 | 4 | 2 | ✗ | ✗ |
mac2-m1Ultra | ||||||||
mac2-m1ultra.metal | ✗ | 128.00 | Apple M1 Ultra with 20‑core CPU | 20 | 20 | 1 | ✗ | ✗ |
mac2-m2 | ||||||||
mac2-m2.metal | ✗ | 24.00 | Apple M2 with 8‑core CPU | 8 | 8 | 1 | ✗ | ✗ |
mac2-m2Pro | ||||||||
mac2-m2pro.metal | ✗ | 32.00 | Apple M2 Pro with 12‑core CPU | 12 | 12 | 1 | ✗ | ✗ |
T2 | ||||||||
t2.nano | ✓ | 0.50 | Intel Xeon Family | 1 | 1 | 1 | ✗ | ✗ |
t2.micro | ✓ | 1.00 | Intel Xeon Family | 1 | 1 | 1 | ✗ | ✗ |
t2.small | ✓ | 2.00 | Intel Xeon Family | 1 | 1 | 1 | ✗ | ✗ |
t2.medium | ✓ | 4.00 | Intel Broadwell E5-2686v4 | 2 | 2 | 1 | ✗ | ✗ |
t2.large | ✓ | 8.00 | Intel Broadwell E5-2686v4 | 2 | 2 | 1 | ✗ | ✗ |
t2.xlarge | ✓ | 16.00 | Intel Broadwell E5-2686v4 | 4 | 4 | 1 | ✗ | ✗ |
t2.2xlarge | ✓ | 32.00 | Intel Broadwell E5-2686v4 | 8 | 8 | 1 | ✗ | ✗ |
T3 | ||||||||
t3.nano | ✓ | 0.50 | Intel Skylake P-8175 | 2 | 1 | 2 | ✗ | ✗ |
t3.micro | ✓ | 1.00 | Intel Skylake P-8175 | 2 | 1 | 2 | ✗ | ✗ |
t3.small | ✓ | 2.00 | Intel Skylake P-8175 | 2 | 1 | 2 | ✗ | ✗ |
t3.medium | ✓ | 4.00 | Intel Skylake P-8175 | 2 | 1 | 2 | ✗ | ✗ |
t3.large | ✓ | 8.00 | Intel Skylake P-8175 | 2 | 1 | 2 | ✗ | ✗ |
t3.xlarge | ✓ | 16.00 | Intel Skylake P-8175 | 4 | 2 | 2 | ✗ | ✗ |
t3.2xlarge | ✓ | 32.00 | Intel Skylake P-8175 | 8 | 4 | 2 | ✗ | ✗ |
T3a | ||||||||
t3a.nano | ✓ | 0.50 | AMD EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
t3a.micro | ✓ | 1.00 | AMD EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
t3a.small | ✓ | 2.00 | AMD EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
t3a.medium | ✓ | 4.00 | AMD EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
t3a.large | ✓ | 8.00 | AMD EPYC 7571 | 2 | 1 | 2 | ✗ | ✗ |
t3a.xlarge | ✓ | 16.00 | AMD EPYC 7571 | 4 | 2 | 2 | ✗ | ✗ |
t3a.2xlarge | ✓ | 32.00 | AMD EPYC 7571 | 8 | 4 | 2 | ✗ | ✗ |
T4g | ||||||||
t4g.nano | ✓ | 0.50 | AWS Graviton2 Processor | 2 | 2 | 1 | ✗ | ✗ |
t4g.micro | ✓ | 1.00 | AWS Graviton2 Processor | 2 | 2 | 1 | ✗ | ✗ |
t4g.small | ✓ | 2.00 | AWS Graviton2 Processor | 2 | 2 | 1 | ✗ | ✗ |
t4g.medium | ✓ | 4.00 | AWS Graviton2 Processor | 2 | 2 | 1 | ✗ | ✗ |
t4g.large | ✓ | 8.00 | AWS Graviton2 Processor | 2 | 2 | 1 | ✗ | ✗ |
t4g.xlarge | ✓ | 16.00 | AWS Graviton2 Processor | 4 | 4 | 1 | ✗ | ✗ |
t4g.2xlarge | ✓ | 32.00 | AWS Graviton2 Processor | 8 | 8 | 1 | ✗ | ✗ |
网络规格
实例类型 | 基准/突发带宽 (Gbps) | EFA | ENA | ENA快递 | 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-m1Ultra | ||||||||
mac2-m1ultra.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32xlarge
支持 200 Gbps(至少 2 Gbps)的metal
实例类型ENIs,每个类型都连接到不同的网卡,需要在实例上实现 200 Gbps 的吞吐量。每个ENI连接到网卡的速度最高可达 170 Gbps。
亚马逊EBS规格
下表显示了哪些实例类型默认由 Amazon EBS 优化,以及哪些可选支持该类型。它还描述了它们EBS经过优化的性能,包括为 Amazon 提供的专用带宽EBS、使用流式读取工作负载和 128 KiB I/O 大小在该专用连接上可以实现的典型IOPS最大聚合吞吐量,以及使用 16 KiB I/O 大小时实例类型可以支持的最大值。未列出的实例类型不支持 Amazon EBS 优化。
重要
实例的EBS性能受实例的性能限制或其所连接卷的聚合性能的限制,以较小者为准。要实现最高EBS性能,实例必须连接的卷的组合性能等于或大于实例的最大性能。例如,要实现 80,000
IOPSr6i.16xlarge
,实例必须至少配置16,000
IOPS每个5
gp3
卷(5
卷 x 16,000
IOPS = 80,000
IOPS)。
我们建议您选择EBS经过优化的实例类型,该类型提供的专用 Amazon EBS 吞吐量超过您的应用程序需求;否则,Amazon 和 A EBS mazon 之间的连接EC2可能会成为性能瓶颈。
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/最大值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 | ✓ | default |
m5.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | default |
m5.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | default |
m5.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | default |
m5.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | default |
m5.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m5.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | default |
m5.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5a | |||||
m5a.large 1 | 650.00/2880.00 | 81.25/ 360.00 | 3600.00/16000.00 | ✓ | default |
m5a.xlarge 1 | 1085.00/2880.00 | 135.62/360.00 | 6000.00/16000.00 | ✓ | default |
m5a.2xlarge 1 | 1580.00/2880.00 | 197.50/360.00 | 8333.00/16000.00 | ✓ | default |
m5a.4xlarge | 2880.00 | 360.00 | 16000.00 | ✓ | default |
m5a.8xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | default |
m5a.12xlarge | 6780.00 | 847.50 | 30000.00 | ✓ | default |
m5a.16xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m5a.24xlarge | 13750.00 | 1718.75 | 60000.00 | ✓ | default |
m5ad | |||||
m5ad.large 1 | 650.00/2880.00 | 81.25/ 360.00 | 3600.00/16000.00 | ✓ | default |
m5ad.xlarge 1 | 1085.00/2880.00 | 135.62/360.00 | 6000.00/16000.00 | ✓ | default |
m5ad.2xlarge 1 | 1580.00/2880.00 | 197.50/360.00 | 8333.00/16000.00 | ✓ | default |
m5ad.4xlarge | 2880.00 | 360.00 | 16000.00 | ✓ | default |
m5ad.8xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | default |
m5ad.12xlarge | 6780.00 | 847.50 | 30000.00 | ✓ | default |
m5ad.16xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m5ad.24xlarge | 13750.00 | 1718.75 | 60000.00 | ✓ | default |
m5d | |||||
m5d.large 1 | 650.00/4750.00 | 81.25/593.75 | 3600.00/18750.00 | ✓ | default |
m5d.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | default |
m5d.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | default |
m5d.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | default |
m5d.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | default |
m5d.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m5d.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | default |
m5d.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5d.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5dn | |||||
m5dn.large 1 | 650.00/4750.00 | 81.25/593.75 | 3600.00/18750.00 | ✓ | default |
m5dn.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | default |
m5dn.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | default |
m5dn.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | default |
m5dn.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | default |
m5dn.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m5dn.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | default |
m5dn.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5dn.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5n | |||||
m5n.large 1 | 650.00/4750.00 | 81.25/593.75 | 3600.00/18750.00 | ✓ | default |
m5n.xlarge 1 | 1150.00/4750.00 | 143.75/593.75 | 6000.00/18750.00 | ✓ | default |
m5n.2xlarge 1 | 2300.00/4750.00 | 287.50/593.75 | 12000.00/18750.00 | ✓ | default |
m5n.4xlarge | 4750.00 | 593.75 | 18750.00 | ✓ | default |
m5n.8xlarge | 6800.00 | 850.00 | 30000.00 | ✓ | default |
m5n.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m5n.16xlarge | 13600.00 | 1700.00 | 60000.00 | ✓ | default |
m5n.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5n.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5Zn | |||||
m5zn.large 1 | 800.00 /3170.00 | 100.00/396.25 | 3333.00/13333.00 | ✓ | default |
m5zn.xlarge 1 | 1564.00/3170.00 | 195.50/396.25 | 6667.00/13333.00 | ✓ | default |
m5zn.2xlarge | 3170.00 | 396.25 | 13333.00 | ✓ | default |
m5zn.3xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | default |
m5zn.6xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m5zn.12xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m5zn.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m6a | |||||
m6a.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | default |
m6a.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m6a.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m6a.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
m6a.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m6a.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m6a.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m6a.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m6a.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | default |
m6a.48xlarge | 40000.00 | 5000.00 | 240000.00 | ✓ | default |
m6a.metal | 40000.00 | 5000.00 | 240000.00 | ✓ | default |
m6g | |||||
m6g.medium 1 | 315.00/4750.00 | 39.38/593.75 | 2500.00/20000.00 | ✓ | default |
m6g.large 1 | 630.00/4750.00 | 78.75/593.75 | 3600.00/20000.00 | ✓ | default |
m6g.xlarge 1 | 1188.00 /4750.00 | 148.50/593.75 | 6000.00/20000.00 | ✓ | default |
m6g.2xlarge 1 | 2375.00 /4750.00 | 296.88/593.75 | 12000.00/20000.00 | ✓ | default |
m6g.4xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | default |
m6g.8xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m6g.12xlarge | 14250.00 | 1781.25 | 50000.00 | ✓ | default |
m6g.16xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m6g.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m6gD | |||||
m6gd.medium 1 | 315.00/4750.00 | 39.38/593.75 | 2500.00/20000.00 | ✓ | default |
m6gd.large 1 | 630.00/4750.00 | 78.75/593.75 | 3600.00/20000.00 | ✓ | default |
m6gd.xlarge 1 | 1188.00 /4750.00 | 148.50/593.75 | 6000.00/20000.00 | ✓ | default |
m6gd.2xlarge 1 | 2375.00 /4750.00 | 296.88/593.75 | 12000.00/20000.00 | ✓ | default |
m6gd.4xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | default |
m6gd.8xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | default |
m6gd.12xlarge | 14250.00 | 1781.25 | 50000.00 | ✓ | default |
m6gd.16xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m6gd.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | default |
m6i | |||||
m6i.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | default |
m6i.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m6i.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m6i.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
m6i.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m6i.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m6i.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m6i.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m6i.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | default |
m6i.metal | 40000.00 | 5000.00 | 160000.00 | ✓ | default |
m6id | |||||
m6id.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | default |
m6id.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m6id.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m6id.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
m6id.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m6id.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m6id.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m6id.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m6id.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | default |
m6id.metal | 40000.00 | 5000.00 | 160000.00 | ✓ | default |
m6iDN | |||||
m6idn.large 1 | 1562.00/250000.00 | 195.31/ 3125.00 | 6250.00/100000.00 | ✓ | default |
m6idn.xlarge 1 | 3125.00/250000.00 | 390.62/3125.00 | 12500.00/100000.00 | ✓ | default |
m6idn.2xlarge 1 | 6250.00/250000.00 | 781.25/3125.00 | 250000.00/100000.00 | ✓ | default |
m6idn.4xlarge 1 | 12500.00/250000.00 | 1562.50/3125.00 | 50000.00/100000.00 | ✓ | default |
m6idn.8xlarge | 250000.00 | 3125.00 | 100000.00 | ✓ | default |
m6idn.12xlarge | 37500.00 | 4687.50 | 150000.00 | ✓ | default |
m6idn.16xlarge | 50000.00 | 6250.00 | 200000.00 | ✓ | default |
m6idn.24xlarge | 75000.00 | 9375.00 | 300000.00 | ✓ | default |
m6idn.32xlarge | 100000.00 | 12500.00 | 400000.00 | ✓ | default |
m6idn.metal | 100000.00 | 12500.00 | 400000.00 | ✓ | default |
m6in | |||||
m6in.large 1 | 1562.00/250000.00 | 195.31/ 3125.00 | 6250.00/100000.00 | ✓ | default |
m6in.xlarge 1 | 3125.00/250000.00 | 390.62/3125.00 | 12500.00/100000.00 | ✓ | default |
m6in.2xlarge 1 | 6250.00/250000.00 | 781.25/3125.00 | 250000.00/100000.00 | ✓ | default |
m6in.4xlarge 1 | 12500.00/250000.00 | 1562.50/3125.00 | 50000.00/100000.00 | ✓ | default |
m6in.8xlarge | 250000.00 | 3125.00 | 100000.00 | ✓ | default |
m6in.12xlarge | 37500.00 | 4687.50 | 150000.00 | ✓ | default |
m6in.16xlarge | 50000.00 | 6250.00 | 200000.00 | ✓ | default |
m6in.24xlarge | 75000.00 | 9375.00 | 300000.00 | ✓ | default |
m6in.32xlarge | 100000.00 | 12500.00 | 400000.00 | ✓ | default |
m6in.metal | 100000.00 | 12500.00 | 400000.00 | ✓ | default |
m7a | |||||
m7a.medium 1 | 325.00/10000.00 | 40.62/1250.00 | 2500.00/40000.00 | ✓ | default |
m7a.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | default |
m7a.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m7a.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m7a.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
m7a.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m7a.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m7a.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m7a.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m7a.32xlarge | 40000.00 | 5000.00 | 160000.00 | ✓ | default |
m7a.48xlarge | 40000.00 | 5000.00 | 240000.00 | ✓ | default |
m7a.metal-48xl | 40000.00 | 5000.00 | 240000.00 | ✓ | default |
m7g | |||||
m7g.medium 1 | 315.00/10000.00 | 39.38/1250.00 | 2500.00/40000.00 | ✓ | default |
m7g.large 1 | 630.00/1000.00 | 78.75/1250.00 | 3600.00/40000.00 | ✓ | default |
m7g.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m7g.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m7g.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
m7g.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m7g.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m7g.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m7g.metal | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m7gD | |||||
m7gd.medium 1 | 315.00/10000.00 | 39.38/1250.00 | 2500.00/40000.00 | ✓ | default |
m7gd.large 1 | 630.00/1000.00 | 78.75/1250.00 | 3600.00/40000.00 | ✓ | default |
m7gd.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m7gd.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m7gd.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
m7gd.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m7gd.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m7gd.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m7gd.metal | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m7i | |||||
m7i.large 1 | 650.00/1000.00 | 81.25/1250.00 | 3600.00/40000.00 | ✓ | default |
m7i.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m7i.2xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m7i.4xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
m7i.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m7i.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m7i.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m7i.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m7i.48xlarge | 40000.00 | 5000.00 | 240000.00 | ✓ | default |
m7i.metal-24xl | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m7i.metal-48xl | 40000.00 | 5000.00 | 240000.00 | ✓ | default |
m7i-flex | |||||
m7i-flex.large 1 | 312.00/10000.00 | 39.06/1250.00 | 2500.00/40000.00 | ✓ | default |
m7i-flex.xlarge 1 | 625.00/10000.00 | 78.12/1250.00 | 3600.00/40000.00 | ✓ | default |
m7i-flex.2xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | default |
m7i-flex.4xlarge 1 | 2500.00/10000.00 | 312.50/1250.00 | 12000.00/40000.00 | ✓ | default |
m7i-flex.8xlarge 1 | 5000.00/10000.00 | 625.00/1250.00 | 20000.00/40000.00 | ✓ | default |
Mac1 | |||||
mac1.metal | 14000.00 | 1750.00 | 80000.00 | ✓ | default |
Mac2 | |||||
mac2.metal | 10000.00 | 1250.00 | 55000.00 | ✓ | default |
mac2-m1Ultra | |||||
mac2-m1ultra.metal | 10000.00 | 1250.00 | 55000.00 | ✓ | default |
mac2-m2 | |||||
mac2-m2.metal | 8000.00 | 1000.00 | 55000.00 | ✓ | default |
mac2-m2Pro | |||||
mac2-m2pro.metal | 8000.00 | 1000.00 | 55000.00 | ✓ | default |
T2 | |||||
T3 | |||||
t3.nano 1 | 43.00/2085.00 | 5.38/260.62 | 250.00/11800.00 | ✓ | default |
t3.micro 1 | 87.00/2085.00 | 10.88/260.62 | 500.00/11800.00 | ✓ | default |
t3.small 1 | 174.00/2085.00 | 21.75/260.62 | 1000.00/11800.00 | ✓ | default |
t3.medium 1 | 347.00/2085.00 | 43.38/260.62 | 2000.00/11800.00 | ✓ | default |
t3.large 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
t3.xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
t3.2xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
T3a | |||||
t3a.nano 1 | 45.00/2085.00 | 5.62/260.62 | 250.00/11800.00 | ✓ | default |
t3a.micro 1 | 90.00/2085.00 | 11.25/ 260.62 | 500.00/11800.00 | ✓ | default |
t3a.small 1 | 175.00/2085.00 | 21.88/260.62 | 1000.00/11800.00 | ✓ | default |
t3a.medium 1 | 350.00/2085.00 | 43.75/260.62 | 2000.00/11800.00 | ✓ | default |
t3a.large 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
t3a.xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
t3a.2xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
T4g | |||||
t4g.nano 1 | 43.00/2085.00 | 5.38/260.62 | 250.00/11800.00 | ✓ | default |
t4g.micro 1 | 87.00/2085.00 | 10.88/260.62 | 500.00/11800.00 | ✓ | default |
t4g.small 1 | 174.00/2085.00 | 21.75/260.62 | 1000.00/11800.00 | ✓ | default |
t4g.medium 1 | 347.00/2085.00 | 43.38/260.62 | 2000.00/11800.00 | ✓ | default |
t4g.large 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
t4g.xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
t4g.2xlarge 1 | 695.00/2780.00 | 86.88/347.50 | 4000.00/15700.00 | ✓ | default |
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
表示默认情况下启用实例进行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 | TRIM支持 2 |
---|---|---|---|---|---|
m5ad | |||||
m5ad.large | 1 x 75 GB | NVMe SSD | 30,000/15,000 | ✓ | |
m5ad.xlarge | 1 x 150 GB | NVMe SSD | 59,000 /29,000 | ✓ | |
m5ad.2xlarge | 1 x 300 GB | 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 75 GB | NVMe SSD | 30,000/15,000 | ✓ | |
m5d.xlarge | 1 x 150 GB | NVMe SSD | 59,000 /29,000 | ✓ | |
m5d.2xlarge | 1 x 300 GB | 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 75 GB | NVMe SSD | 29,000 /14,500 | ✓ | |
m5dn.xlarge | 1 x 150 GB | NVMe SSD | 58,000 /29,000 | ✓ | |
m5dn.2xlarge | 1 x 300 GB | 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 /232,0000 | ✓ | |
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 | 硝基 TPM | 硝基飞地 |
---|---|---|---|---|---|---|
M5 | ||||||
m5.large | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
m5.xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5.2xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5.4xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5.8xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5.12xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5.16xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5.24xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5.metal | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
m5a | ||||||
m5a.large | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
m5a.xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5a.2xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5a.4xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5a.8xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5a.12xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5a.16xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
m5a.24xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✓ |
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 | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m5n.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5n.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5n.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5n.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5n.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5n.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5n.24xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5n.metal | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m5Zn | ||||||
m5zn.large | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m5zn.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5zn.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5zn.3xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5zn.6xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5zn.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m5zn.metal | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m6a | ||||||
m6a.large | ✓ | Instance store not supported | ✓ | ✓ | ✓ | ✗ |
m6a.xlarge | ✓ | Instance store not supported | ✓ | ✓ | ✓ | ✓ |
m6a.2xlarge | ✓ | Instance store not supported | ✓ | ✓ | ✓ | ✓ |
m6a.4xlarge | ✓ | Instance store not supported | ✓ | ✓ | ✓ | ✓ |
m6a.8xlarge | ✓ | Instance store not supported | ✓ | ✓ | ✓ | ✓ |
m6a.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6a.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6a.24xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6a.32xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6a.48xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6a.metal | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m6g | ||||||
m6g.medium | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
m6g.large | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✓ |
m6g.xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✓ |
m6g.2xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✓ |
m6g.4xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✓ |
m6g.8xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✓ |
m6g.12xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✓ |
m6g.16xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✓ |
m6g.metal | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
m6gD | ||||||
m6gd.medium | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
m6gd.large | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
m6gd.xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
m6gd.2xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
m6gd.4xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
m6gd.8xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
m6gd.12xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
m6gd.16xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✓ |
m6gd.metal | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
m6i | ||||||
m6i.large | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m6i.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.24xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.32xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6i.metal | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
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 | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m6in.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.24xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.32xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m6in.metal | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7a | ||||||
m7a.medium | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.large | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.24xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.32xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.48xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7a.metal-48xl | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g | ||||||
m7g.medium | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.large | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7g.metal | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7gD | ||||||
m7gd.medium | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.large | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.2xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.4xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.8xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.12xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.16xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7gd.metal | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
m7i | ||||||
m7i.large | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.24xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.48xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i.metal-24xl | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7i.metal-48xl | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m7i-flex | ||||||
m7i-flex.large | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i-flex.xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i-flex.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i-flex.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m7i-flex.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
Mac1 | ||||||
mac1.metal | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
Mac2 | ||||||
mac2.metal | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
mac2-m1Ultra | ||||||
mac2-m1ultra.metal | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
mac2-m2 | ||||||
mac2-m2.metal | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
mac2-m2Pro | ||||||
mac2-m2pro.metal | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
T2 | ||||||
t2.nano | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t2.micro | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t2.small | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t2.medium | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t2.large | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t2.xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t2.2xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
T3 | ||||||
t3.nano | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3.micro | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3.small | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3.medium | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3.large | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3.xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3.2xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
T3a | ||||||
t3a.nano | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3a.micro | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3a.small | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3a.medium | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3a.large | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3a.xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
t3a.2xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✓ | ✗ |
T4g | ||||||
t4g.nano | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t4g.micro | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t4g.small | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t4g.medium | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t4g.large | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t4g.xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |
t4g.2xlarge | ✓ | Instance store not supported | ✗ | ✗ | ✗ | ✗ |