기계 번역으로 제공되는 번역입니다. 제공된 번역과 원본 영어의 내용이 상충하는 경우에는 영어 버전이 우선합니다.
Amazon EC2 범용 인스턴스 사양
범용 인스턴스에서는 컴퓨팅, 메모리 및 네트워크 리소스의 균형을 제공합니다. 이러한 인스턴스는 웹 서버와 코드 리포지토리처럼 이러한 리소스를 같은 비율로 사용하는 애플리케이션에 적합합니다.
M4 인스턴스와 같은 이 범주의 이전 세대 인스턴스 유형에 대한 내용은 Amazon EC2 이전 세대 인스턴스의 사양 섹션을 참조하세요.
요금
요금 정보는 Amazon EC2 온디맨드 요금을
인스턴스 패밀리 및 인스턴스 유형
인스턴스 패밀리 | 사용 가능한 인스턴스 유형 |
---|---|
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 |
M8g | m8g.medium | m8g.large | m8g.xlarge | m8g.2xlarge | m8g.4xlarge | m8g.8xlarge | m8g.12xlarge | m8g.16xlarge | m8g.24xlarge | m8g.48xlarge | m8g.metal-24xl | m8g.metal-48xl |
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 |
인스턴스 패밀리 요약
인스턴스 패밀리 | 하이퍼바이저 | 프로세서 유형(아키텍처) | 사용 가능한 메탈 인스턴스 | 전용 호스트 지원 | 스팟 지원 | 최대 절전 모드 지원 | 지원되는 운영 체제 |
---|---|---|---|---|---|---|---|
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 |
M8g | Nitro v5 | AWS Graviton (arm64) | ✓ | ✓ | ✓ | ✓ | 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 |
성능 사양
인스턴스 유형 | 버스트 가능 | 메모리(GiB) | 처리자 | vCPUs | CPU 코어 | 코어당 스레드 | 액셀러레이터 | 액셀러레이터 메모리 |
---|---|---|---|---|---|---|---|---|
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 | ✗ | ✗ |
M8g | ||||||||
m8g.medium | ✗ | 4.00 | AWS Graviton4 Processor | 1 | 1 | 1 | ✗ | ✗ |
m8g.large | ✗ | 8.00 | AWS Graviton4 Processor | 2 | 2 | 1 | ✗ | ✗ |
m8g.xLarge | ✗ | 16.00 | AWS Graviton4 Processor | 4 | 4 | 1 | ✗ | ✗ |
m8g.2xlarge | ✗ | 32.00 | AWS Graviton4 Processor | 8 | 8 | 1 | ✗ | ✗ |
m8g.4xlarge | ✗ | 64.00 | AWS Graviton4 Processor | 16 | 16 | 1 | ✗ | ✗ |
m8g.8xlarge | ✗ | 128.00 | AWS Graviton4 Processor | 32 | 32 | 1 | ✗ | ✗ |
m8g.12xlarge | ✗ | 192.00 | AWS Graviton4 Processor | 48 | 48 | 1 | ✗ | ✗ |
m8g.16xlarge | ✗ | 256.00 | AWS Graviton4 Processor | 64 | 64 | 1 | ✗ | ✗ |
m8g.24xlarge | ✗ | 384.00 | AWS Graviton4 Processor | 96 | 96 | 1 | ✗ | ✗ |
m8g.48xlarge | ✗ | 768.00 | AWS Graviton4 Processor | 192 | 192 | 1 | ✗ | ✗ |
m8g.metal-24xl | ✗ | 384.00 | AWS Graviton4 Processor | 96 | 96 | 1 | ✗ | ✗ |
m8g.metal-48xl | ✗ | 768.00 | AWS Graviton4 Processor | 192 | 192 | 1 | ✗ | ✗ |
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 | ✗ | ✗ |
네트워크 사양
인스턴스 유형 | 기준/버스트 대역폭(Gbps) | EFA | ENA | ENA Express | 네트워크 카드 | 최대 네트워크 인터페이스 수 | 인터페이스당 IP 주소 수 | 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 | ✓ |
m5.4xlarge1 | 5.0 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5.8xlarge | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5.12xlarge | 12기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5.16xlarge | 20기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5.24xlarge | 25기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5.metal | 25기가비트 | ✗ | ✓ | ✗ | 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.4xlarge1 | 5.0 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5a.8xlarge1 | 7.5 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5a.12xlarge | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5a.16xlarge | 12기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5a.24xlarge | 20기가비트 | ✗ | ✓ | ✗ | 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.4xlarge1 | 5.0 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5ad.8xlarge1 | 7.5 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5ad.12xlarge | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5ad.16xlarge | 12기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5ad.24xlarge | 20기가비트 | ✗ | ✓ | ✗ | 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.4xlarge1 | 5.0 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5d.8xlarge | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5d.12xlarge | 12기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5d.16xlarge | 20기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5d.24xlarge | 25기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5d.metal | 25기가비트 | ✗ | ✓ | ✗ | 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.4xlarge1 | 16.25 / 25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5dn.8xlarge | 25기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5dn.12xlarge | 50기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5dn.16xlarge | 75기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5dn.24xlarge | 100기가비트 | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5dn.metal | 100기가비트 | ✓ | ✓ | ✗ | 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.4xlarge1 | 16.25 / 25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5n.8xlarge | 25기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5n.12xlarge | 50기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5n.16xlarge | 75기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5n.24xlarge | 100기가비트 | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5n.metal | 100기가비트 | ✓ | ✓ | ✗ | 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.2xlarge1 | 10.0 / 25.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
m5zn.3xlarge1 | 15.0 / 25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5zn.6xlarge | 50기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m5zn.12xlarge | 100기가비트 | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m5zn.metal | 100기가비트 | ✓ | ✓ | ✗ | 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 | 12.5기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6a.12xlarge | 18.75기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m6a.16xlarge | 25기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6a.24xlarge | 37.5기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6a.32xlarge | 50기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6a.48xlarge | 50기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6a.metal | 50기가비트 | ✓ | ✓ | ✓ | 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.4xlarge1 | 5.0 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6g.8xlarge | 12기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6g.12xlarge | 20기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6g.16xlarge | 25기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m6g.metal | 25기가비트 | ✗ | ✓ | ✗ | 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.4xlarge1 | 5.0 / 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6gd.8xlarge | 12기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6gd.12xlarge | 20기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6gd.16xlarge | 25기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m6gd.metal | 25기가비트 | ✗ | ✓ | ✗ | 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 | 12.5기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m6i.12xlarge | 18.75기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m6i.16xlarge | 25기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6i.24xlarge | 37.5기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6i.32xlarge | 50기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6i.metal | 50기가비트 | ✓ | ✓ | ✓ | 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 | 12.5기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m6id.12xlarge | 18.75기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m6id.16xlarge | 25기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6id.24xlarge | 37.5기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6id.32xlarge | 50기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m6id.metal | 50기가비트 | ✓ | ✓ | ✓ | 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 | 50기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6idn.12xlarge | 75기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6idn.16xlarge | 100기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m6idn.24xlarge | 150기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m6idn.32xlarge | 200기가비트 | ✓ | ✓ | ✗ | 2 | 16 | 50 | ✓ |
m6idn.metal | 200기가비트 | ✓ | ✓ | ✗ | 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 | 50기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6in.12xlarge | 75기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m6in.16xlarge | 100기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m6in.24xlarge | 150기가비트 | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
m6in.32xlarge | 200기가비트 | ✓ | ✓ | ✗ | 2 | 16 | 50 | ✓ |
m6in.metal | 200기가비트 | ✓ | ✓ | ✗ | 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 | 12.5기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m7a.12xlarge | 18.75기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m7a.16xlarge | 25기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7a.24xlarge | 37.5기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7a.32xlarge | 50기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7a.48xlarge | 50기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7a.metal-48xl | 50기가비트 | ✓ | ✓ | ✓ | 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 | 15기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m7g.12xlarge | 22.5기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m7g.16xlarge | 30기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7g.metal | 30기가비트 | ✓ | ✓ | ✓ | 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 | 15기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m7gd.12xlarge | 22.5기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m7gd.16xlarge | 30기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7gd.metal | 30기가비트 | ✓ | ✓ | ✓ | 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 | 12.5기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m7i.12xlarge | 18.75기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m7i.16xlarge | 25기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7i.24xlarge | 37.5기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7i.48xlarge | 50기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7i.metal-24xl | 37.5기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m7i.metal-48xl | 50기가비트 | ✓ | ✓ | ✓ | 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 | ✓ |
M8g | ||||||||
m8g.medium 1 | 0.52 / 12.5 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
m8g.large 1 | 0.937 / 12.5 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
m8g.xlarge 1 | 1.876 / 12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
m8g.2xlarge 1 | 3.75 / 15.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
m8g.4xlarge 1 | 7.5 / 15.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m8g.8xlarge | 15기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
m8g.12xlarge | 22.5기가비트 | ✗ | ✓ | ✓ | 1 | 8 | 30 | ✓ |
m8g.16xlarge | 30기가비트 | ✗ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m8g.24xlarge | 40기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m8g.48xlarge | 50기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m8g.metal-24xl | 40기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
m8g.metal-48xl | 50기가비트 | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
Mac1 | ||||||||
mac1.metal | 25기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
Mac2 | ||||||||
mac2.metal | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
Mac2-m1ultra | ||||||||
mac2-m1ultra.metal | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
Mac2-m2 | ||||||||
mac2-m2.metal | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
Mac2-m2pro | ||||||||
mac2-m2pro.metal | 10기가비트 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
T2 | ||||||||
t2.nano | 낮음에서 중간 | ✗ | ✗ | ✗ | 1 | 2 | 2 | ✓ |
t2.micro | 낮음에서 중간 | ✗ | ✗ | ✗ | 1 | 2 | 2 | ✓ |
t2.small | 낮음에서 중간 | ✗ | ✗ | ✗ | 1 | 3 | 4 | ✓ |
t2.medium | 낮음에서 중간 | ✗ | ✗ | ✗ | 1 | 3 | 6 | ✓ |
t2.large | 낮음에서 중간 | ✗ | ✗ | ✗ | 1 | 3 | 12 | ✓ |
t2.xlarge | 보통 | ✗ | ✗ | ✗ | 1 | 3 | 15 | ✓ |
t2.2xlarge | 보통 | ✗ | ✗ | ✗ | 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 | ✓ |
참고
1 이러한 인스턴스에는 기본 대역폭이 있으며 네트워크 I/O 크레딧 메커니즘을 사용하여 최선의 노력을 기준으로 기준 대역폭을 초과할 수 있습니다. 기타 인스턴스 유형에서는 최대 성능을 무기한으로 유지할 수 있습니다. 자세한 내용은 인스턴스 네트워크 대역폭을 참조하세요.
200Gbps를 지원하는 32xlarge
및 metal
인스턴스 유형의 경우, 200Gbps 처리량을 달성하려면 인스턴스에 각각 다른 네트워크 카드에 연결된 최소 2 ENIs가 필요합니다. 네트워크 카드에 연결된 각 ENI는 최대 170Gbps를 달성할 수 있습니다.
Amazon EBS 사양
다음 표는 기본적으로 Amazon EBS에 최적화되어 있고 선택적으로 지원하는 인스턴스 유형을 나타냅니다. 또한 Amazon EBS에 대한 전용 대역폭, 스트리밍 읽기 워크로드 및 128KiB I/O 크기로 해당 전용 연결에서 달성할 수 있는 일반적인 최대 집계 처리량, 인스턴스 유형이 16KiB I/O 크기를 사용할 때 지원할 수 있는 최대 IOPS를 포함하여 EBS 최적화 성능을 설명합니다. 나열되지 않은 인스턴스 유형은 Amazon EBS 최적화를 지원하지 않습니다.
중요
인스턴스의 EBS 성능은 인스턴스의 성능 제한 또는 연결된 볼륨의 집계된 성능 중 더 작은 값으로 제한됩니다. 최대 EBS 성능을 달성하려면 인스턴스에 최대 인스턴스 성능 이상의 결합된 성능을 제공하는 연결된 볼륨이 있어야 합니다. 예를 들어 80,000
IOPS for를 구현하려면 인스턴스r6i.16xlarge
에 각각 16,000
IOPS로 프로비저닝된 5
gp3
볼륨이 최소 개 이상 있어야 합니다(5
볼륨 x 16,000
IOPS = 80,000
IOPS).
애플리케이션에 필요한 것보다 더 많은 전용 Amazon EBS 처리량을 제공하는 EBS 최적화 인스턴스 유형을 선택하는 것이 좋습니다. 그렇지 않으면 Amazon EBS와 Amazon EC2 간의 연결이 성능 병목 현상이 될 수 있습니다.
인스턴스 유형 | 기준/최대 대역폭(Mbps) | 기준/최대 처리량(MB/s, 128 KiB I/O) | 기준/최대 IOPS(16KiB I/O) | NVMe | EBS 최적화 2 |
---|---|---|---|---|---|
M5 | |||||
m5.large 1 | 650.00/4,750.00 | 81.25/593.75 | 3,600.00/18,750.00 | ✓ | default |
m5.xlarge 1 | 1,150.00/4,750.00 | 143.75/593.75 | 6,000.00/18,750.00 | ✓ | default |
m5.2xlarge 1 | 2,300.00/4,750.00 | 287.50/593.75 | 12,000.00/18,750.00 | ✓ | 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 | 650.00/2,880.00 | 81.25/360.00 | 3,600.00/16,000.00 | ✓ | default |
m5a.xlarge 1 | 1,085.00/2,880.00 | 135.62/360.00 | 6,000.00/16,000.00 | ✓ | default |
m5a.2xlarge 1 | 1,580.00/2,880.00 | 197.50/360.00 | 8,333.00/16,000.00 | ✓ | 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 | 650.00/2,880.00 | 81.25/360.00 | 3,600.00/16,000.00 | ✓ | default |
m5ad.xlarge 1 | 1,085.00/2,880.00 | 135.62/360.00 | 6,000.00/16,000.00 | ✓ | default |
m5ad.2xlarge 1 | 1,580.00/2,880.00 | 197.50/360.00 | 8,333.00/16,000.00 | ✓ | 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 | 650.00/4,750.00 | 81.25/593.75 | 3,600.00/18,750.00 | ✓ | default |
m5d.xlarge 1 | 1,150.00/4,750.00 | 143.75/593.75 | 6,000.00/18,750.00 | ✓ | default |
m5d.2xlarge 1 | 2,300.00/4,750.00 | 287.50/593.75 | 12,000.00/18,750.00 | ✓ | 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 | 650.00/4,750.00 | 81.25/593.75 | 3,600.00/18,750.00 | ✓ | default |
m5dn.xlarge 1 | 1,150.00/4,750.00 | 143.75/593.75 | 6,000.00/18,750.00 | ✓ | default |
m5dn.2xlarge 1 | 2,300.00/4,750.00 | 287.50/593.75 | 12,000.00/18,750.00 | ✓ | 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 | 650.00/4,750.00 | 81.25/593.75 | 3,600.00/18,750.00 | ✓ | default |
m5n.xlarge 1 | 1,150.00/4,750.00 | 143.75/593.75 | 6,000.00/18,750.00 | ✓ | default |
m5n.2xlarge 1 | 2,300.00/4,750.00 | 287.50/593.75 | 12,000.00/18,750.00 | ✓ | 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 | 800.00/3,170.00 | 100.00/396.25 | 3,333.00/13,333.00 | ✓ | default |
m5zn.xlarge 1 | 1,564.00/3,170.00 | 195.50/396.25 | 6,667.00/13,333.00 | ✓ | 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 | 650.00/10,000.00 | 81.25/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m6a.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m6a.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m6a.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | 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 | 315.00/4,750.00 | 39.38/593.75 | 2,500.00/20,000.00 | ✓ | default |
m6g.large 1 | 630.00/4,750.00 | 78.75/593.75 | 3,600.00/20,000.00 | ✓ | default |
m6g.xlarge 1 | 1,188.00/4,750.00 | 148.50/593.75 | 6,000.00/20,000.00 | ✓ | default |
m6g.2xlarge 1 | 2,375.00/4,750.00 | 296.88/593.75 | 12,000.00/20,000.00 | ✓ | 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 | 315.00/4,750.00 | 39.38/593.75 | 2,500.00/20,000.00 | ✓ | default |
m6gd.large 1 | 630.00/4,750.00 | 78.75/593.75 | 3,600.00/20,000.00 | ✓ | default |
m6gd.xlarge 1 | 1,188.00/4,750.00 | 148.50/593.75 | 6,000.00/20,000.00 | ✓ | default |
m6gd.2xlarge 1 | 2,375.00/4,750.00 | 296.88/593.75 | 12,000.00/20,000.00 | ✓ | 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 | 650.00/10,000.00 | 81.25/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m6i.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m6i.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m6i.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | 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 | 650.00/10,000.00 | 81.25/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m6id.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m6id.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m6id.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | 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 | 1562.00/25,000.00 | 195.31/3,125.00 | 6,250.00/100,000.00 | ✓ | default |
m6idn.xlarge 1 | 3,125.00/25,000.00 | 390.62/3,125.00 | 12,500.00/100,000.00 | ✓ | default |
m6idn.2xlarge 1 | 6,250.00/25,000.00 | 781.25/3,125.00 | 25,000.00/100,000.00 | ✓ | default |
m6idn.4xlarge 1 | 12,500.00/25,000.00 | 1,562.50/3,125.00 | 50,000.00/100,000.00 | ✓ | default |
m6idn.8xlarge | 25000.00 | 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 | 1562.00/25,000.00 | 195.31/3,125.00 | 6,250.00/100,000.00 | ✓ | default |
m6in.xlarge 1 | 3,125.00/25,000.00 | 390.62/3,125.00 | 12,500.00/100,000.00 | ✓ | default |
m6in.2xlarge 1 | 6,250.00/25,000.00 | 781.25/3,125.00 | 25,000.00/100,000.00 | ✓ | default |
m6in.4xlarge 1 | 12,500.00/25,000.00 | 1,562.50/3,125.00 | 50,000.00/100,000.00 | ✓ | default |
m6in.8xlarge | 25000.00 | 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 | 325.00/10,000.00 | 40.62/1,250.00 | 2,500.00/40,000.00 | ✓ | default |
m7a.large 1 | 650.00/10,000.00 | 81.25/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m7a.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m7a.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m7a.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | 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 | 315.00/10,000.00 | 39.38/1,250.00 | 2,500.00/40,000.00 | ✓ | default |
m7g.large 1 | 630.00/10,000.00 | 78.75/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m7g.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m7g.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m7g.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | 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 | 315.00/10,000.00 | 39.38/1,250.00 | 2,500.00/40,000.00 | ✓ | default |
m7gd.large 1 | 630.00/10,000.00 | 78.75/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m7gd.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m7gd.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m7gd.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | 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 | 650.00/10,000.00 | 81.25/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m7i.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m7i.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m7i.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | 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 | 312.00/10,000.00 | 39.06/1,250.00 | 2,500.00/40,000.00 | ✓ | default |
m7i-flex.xlarge 1 | 625.00/10,000.00 | 78.12/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m7i-flex.2xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m7i-flex.4xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m7i-flex.8xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | default |
M8g | |||||
m8g.medium 1 | 315.00/10,000.00 | 39.38/1,250.00 | 2,500.00/40,000.00 | ✓ | default |
m8g.large 1 | 630.00/10,000.00 | 78.75/1,250.00 | 3,600.00/40,000.00 | ✓ | default |
m8g.xlarge 1 | 1,250.00/10,000.00 | 156.25/1,250.00 | 6,000.00/40,000.00 | ✓ | default |
m8g.2xlarge 1 | 2,500.00/10,000.00 | 312.50/1,250.00 | 12,000.00/40,000.00 | ✓ | default |
m8g.4xlarge 1 | 5,000.00/10,000.00 | 625.00/1,250.00 | 20,000.00/40,000.00 | ✓ | default |
m8g.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | default |
m8g.12xlarge | 15000.00 | 1875.00 | 60000.00 | ✓ | default |
m8g.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | default |
m8g.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m8g.48xlarge | 40000.00 | 5000.00 | 240000.00 | ✓ | default |
m8g.metal-24xl | 30000.00 | 3750.00 | 120000.00 | ✓ | default |
m8g.metal-48xl | 40000.00 | 5000.00 | 240000.00 | ✓ | 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 | 43.00/2,085.00 | 5.38/260.62 | 250.00/11,800.00 | ✓ | default |
t3.micro 1 | 87.00/2,085.00 | 10.88/260.62 | 500.00/11,800.00 | ✓ | default |
t3.small 1 | 174.00/2,085.00 | 21.75/260.62 | 1,000.00/11,800.00 | ✓ | default |
t3.medium 1 | 347.00/2,085.00 | 43.38/260.62 | 2,000.00/11,800.00 | ✓ | default |
t3.large 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
t3.xlarge 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
t3.2xlarge 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
T3a | |||||
t3a.nano 1 | 45.00/2,085.00 | 5.62/260.62 | 250.00/11,800.00 | ✓ | default |
t3a.micro 1 | 90.00/2,085.00 | 11.25/260.62 | 500.00/11,800.00 | ✓ | default |
t3a.small 1 | 175.00/2,085.00 | 21.88/260.62 | 1,000.00/11,800.00 | ✓ | default |
t3a.medium 1 | 350.00/2,085.00 | 43.75/260.62 | 2,000.00/11,800.00 | ✓ | default |
t3a.large 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
t3a.xlarge 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
t3a.2xlarge 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
T4g | |||||
t4g.nano 1 | 43.00/2,085.00 | 5.38/260.62 | 250.00/11,800.00 | ✓ | default |
t4g.micro 1 | 87.00/2,085.00 | 10.88/260.62 | 500.00/11,800.00 | ✓ | default |
t4g.small 1 | 174.00/2,085.00 | 21.75/260.62 | 1,000.00/11,800.00 | ✓ | default |
t4g.medium 1 | 347.00/2,085.00 | 43.38/260.62 | 2,000.00/11,800.00 | ✓ | default |
t4g.large 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
t4g.xlarge 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
t4g.2xlarge 1 | 695.00/2,780.00 | 86.88/347.50 | 4,000.00/15,700.00 | ✓ | default |
참고
1 이러한 인스턴스는 24시간에 한 번 이상 30분 동안 최대 성능을 지원할 수 있습니다. 이후에는 기준 성능으로 돌아갑니다. 다른 인스턴스는 최대 성능을 무기한으로 유지할 수 있습니다. 최대 성능이 30분 이상 지속되어야 하는 워크로드가 있는 경우 이러한 인스턴스 중 하나를 사용합니다.
2default
는 인스턴스가 기본적으로 EBS 최적화에 대해 활성화되었음을 나타냅니다.는 인스턴스를 선택적으로 EBS 최적화에 대해 활성화할 수 있음을 supported
나타냅니다. 자세한 내용은 Amazon EBS 최적화 인스턴스를 참조하세요.
인스턴스 저장소 사양
다음 표에는 지원되는 인스턴스 유형에 대한 인스턴스 스토어 볼륨 구성과 대기열 깊이 포화 시 4,096바이트 블록 크기의 집계된 IOPS 성능이 나와 있습니다.
인스턴스 유형 | 인스턴스 스토어 볼륨 | 인스턴스 저장소 유형 | 100% 무작위 읽기 IOPS/쓰기 IOPS | 초기화 필요1 | TRIM 지원 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 | 933,332/466,668 | ✓ | |
m5ad.24xlarge | 4 x 900 GB | NVMe SSD | 1,400,000/680,000 | ✓ | |
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 | 933,332/466,668 | ✓ | |
m5d.24xlarge | 4 x 900 GB | NVMe SSD | 1,400,000/680,000 | ✓ | |
m5d.metal | 4 x 900 GB | NVMe SSD | 1,400,000/680,000 | ✓ | |
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 | 464,000/232,000 | ✓ | |
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 | 1,400,000/700,000 | ✓ | |
m5dn.metal | 4 x 900 GB | NVMe SSD | 1,400,000/700,000 | ✓ | |
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 특정 인스턴스에 연결된 볼륨은 초기화되지 않을 경우 최초 쓰기 페널티를 받게 됩니다. 자세한 내용은 인스턴스 저장소 볼륨의 디스크 성능 최적화를 참조하세요.
2 자세한 내용은 인스턴스 스토어 볼륨 TRIM 지원을 참조하세요.
보안 사양
인스턴스 유형 | EBS 암호화 | 인스턴스 스토어 암호화 | 전송 중 암호화 | AMD SEV-SNP | NitroTPM | Nitro Enclaves |
---|---|---|---|---|---|---|
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 | ✓ | ✗ | ✓ | ✗ |
M8g | ||||||
m8g.medium | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✗ |
m8g.large | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.xLarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.2xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.4xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.8xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.12xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.16xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.24xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.48xlarge | ✓ | Instance store not supported | ✓ | ✗ | ✓ | ✓ |
m8g.metal-24xl | ✓ | Instance store not supported | ✓ | ✗ | ✗ | ✗ |
m8g.metal-48xl | ✓ | 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 | ✗ | ✗ | ✓ | ✗ |