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加速计算实例
与在 CPU 上运行的软件相比，加速计算实例使用硬件加速器或协处理器来执行诸如浮点数计算、图形处理或数据模式匹配之类的功能。
有关此类别上一代实例类型的信息，请参阅上一代实例。
提供的尺寸
| 实例类型 | 提供的尺寸 |
|---|---|
| DL1 | dl1.24xlarge |
| DL2q | dl2q.24xlarge |
| F1 | f1.2xlarge | f1.4xlarge | f1.16xlarge |
| G4ad | g4ad.xlarge | g4ad.2xlarge | g4ad.4xlarge | g4ad.8xlarge | g4ad.16xlarge |
| G4dn | g4dn.xlarge | g4dn.2xlarge | g4dn.4xlarge | g4dn.8xlarge | g4dn.12xlarge | g4dn.16xlarge | g4dn.metal |
| G5 | g5.xlarge | g5.2xlarge | g5.4xlarge | g5.8xlarge | g5.12xlarge | g5.16xlarge | g5.24xlarge | g5.48xlarge |
| G5g | g5g.xlarge | g5g.2xlarge | g5g.4xlarge | g5g.8xlarge | g5g.16xlarge | g5g.metal |
| G6 | g6.xlarge | g6.2xlarge | g6.4xlarge | g6.8xlarge | g6.12xlarge | g6.16xlarge | g6.24xlarge | g6.48xlarge |
| Gr6 | gr6.4xlarge | gr6.8xlarge |
| Inf1 | inf1.xlarge | inf1.2xlarge | inf1.6xlarge | inf1.24xlarge |
| Inf2 | inf2.xlarge | inf2.8xlarge | inf2.24xlarge | inf2.48xlarge |
| P2 | p2.xlarge | p2.8xlarge | p2.16xlarge |
| P3 | p3.2xlarge | p3.8xlarge | p3.16xlarge |
| P3dn | p3dn.24xlarge |
| P4d | p4d.24xlarge |
| P4de | p4de.24xlarge |
| P5 | p5.48xlarge |
| Trn1 | trn1.2xlarge | trn1.32xlarge |
| Trn1n | trn1n.32xlarge |
| VT1 | vt1.3xlarge | vt1.6xlarge | vt1.24xlarge |
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 |
|---|---|---|---|---|---|---|---|
| DL1 | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| DL2q | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| F1 | Xen | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| G4ad | 硝基 | AMD (x86_64) | ✗ | ✓ | ✓ | ✗ | Windows | Linux |
| G4dn | 硝基 | 英特尔 (x86_64) | ✓ | ✓ | ✓ | ✗ | Windows | Linux |
| G5 | 硝基 | AMD (x86_64) | ✗ | ✓ | ✓ | ✗ | Windows | Linux |
| G5g | 硝基 | Amazon Graviton (arm64) | ✓ | ✓ | ✓ | ✗ | Linux |
| G6 | 硝基 | AMD (x86_64) | ✗ | ✓ | ✓ | ✗ | Windows | Linux |
| Gr6 | 硝基 | AMD (x86_64) | ✗ | ✗ | ✓ | ✗ | Windows | Linux |
| Inf1 | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| Inf2 | 硝基 | AMD (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| P2 | Xen | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Windows | Linux |
| P3 | Xen | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Windows | Linux |
| P3dn | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Windows | Linux |
| P4d | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| P4de | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| P5 | 硝基 | AMD (x86_64) | ✗ | ✗ | ✓ | ✗ | Linux |
| Trn1 | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
| Trn1n | 硝基 | 英特尔 (x86_64) | ✗ | ✗ | ✓ | ✗ | Linux |
| VT1 | 硝基 | 英特尔 (x86_64) | ✗ | ✓ | ✓ | ✗ | Linux |
性能规格
| 实例类型 | Burstable | 内存 (GiB) | 处理器 | vCPU | CPU 内核 | 每个内核的线程数 | 加速器 | 加速器内存 |
|---|---|---|---|---|---|---|---|---|
| DL1 | ||||||||
| dl1.24xlarge | ✗ | 768.00 | 英特尔至强 P-8275CL | 96 | 48 | 2 | 8 x Habana Gaudi HL-205 GPU | 256 GiB (8 x 32 GiB) |
| dl2q | ||||||||
| dl2q.24xlarge | ✗ | 768.00 | 英特尔至强 Cascade Lake | 96 | 48 | 2 | 8 x 高通高通 AI100 推理加速器 | 125 GiB (8 x 15 GiB) |
| F1 | ||||||||
| f1.2xlarge | ✗ | 122.00 | 英特尔至强 e5-2686v4 | 8 | 4 | 2 | 1 x Xilinx Virtex UltraScale (VU9P) FPGA | 64 GiB (1 x 64 GiB) |
| f1.4xlarge | ✗ | 244.00 | 英特尔至强 e5-2686v4 | 16 | 8 | 2 | 2 x Xilinx Virtex UltraScale (VU9P) FPGA | 128 GiB (2 x 64 GiB) |
| f1.16xlarge | ✗ | 976.00 | 英特尔至强 e5-2686v4 | 64 | 32 | 2 | 8 x Xilinx Virtex UltraScale (VU9P) FPGA | 512 GiB (8 x 64 GiB) |
| G4ad | ||||||||
| g4ad.xlarge | ✗ | 16.00 | 第二代 AMD EPYC 7R32 | 4 | 2 | 2 | 1 x AMD Radeon Pro V520 GPU | 8 GiB (1 x 8 GiB) |
| g4ad.2xlarge | ✗ | 32.00 | 第二代 AMD EPYC 7R32 | 8 | 4 | 2 | 1 x AMD Radeon Pro V520 GPU | 8 GiB (1 x 8 GiB) |
| g4ad.4xlarge | ✗ | 64.00 | 第二代 AMD EPYC 7R32 | 16 | 8 | 2 | 1 x AMD Radeon Pro V520 GPU | 8 GiB (1 x 8 GiB) |
| g4ad.8xlarge | ✗ | 128.00 | 第二代 AMD EPYC 7R32 | 32 | 16 | 2 | 2 x AMD Radeon Pro V520 GPU | 16 GiB (2 x 8 GiB) |
| g4ad.16xlarge | ✗ | 256.00 | 第二代 AMD EPYC 7R32 | 64 | 32 | 2 | 4 x AMD Radeon Pro V520 GPU | 32 GiB (4 x 8 GiB) |
| g4dn | ||||||||
| g4dn.xlarge | ✗ | 16.00 | 英特尔至强 P-8259L | 4 | 2 | 2 | 1 x NVIDIA T4 GPU | 16 GiB (1 x 16 GiB) |
| g4dn.2xlarge | ✗ | 32.00 | 英特尔至强 P-8259L | 8 | 4 | 2 | 1 x NVIDIA T4 GPU | 16 GiB (1 x 16 GiB) |
| g4dn.4xlarge | ✗ | 64.00 | 英特尔至强 P-8259L | 16 | 8 | 2 | 1 x NVIDIA T4 GPU | 16 GiB (1 x 16 GiB) |
| g4dn.8xlarge | ✗ | 128.00 | 英特尔至强 P-8259L | 32 | 16 | 2 | 1 x NVIDIA T4 GPU | 16 GiB (1 x 16 GiB) |
| g4dn.12xlarge | ✗ | 192.00 | 英特尔至强 P-8259L | 48 | 24 | 2 | 4 x NVIDIA T4 GPU | 64 GiB (4 x 16 GiB) |
| g4dn.16xlarge | ✗ | 256.00 | 英特尔至强 P-8259L | 64 | 32 | 2 | 1 x NVIDIA T4 GPU | 16 GiB (1 x 16 GiB) |
| g4dn.metal | ✗ | 384.00 | 英特尔至强 P-8259L | 96 | 48 | 2 | 8 x NVIDIA T4 GPU | 128 GiB (8 x 16 GiB) |
| G5 | ||||||||
| g5.xlarge | ✗ | 16.00 | 第二代 AMD EPYC 7R32 | 4 | 2 | 2 | 1 x NVIDIA A10G GPU | 24 GiB (1 x 24 GiB) |
| g5.2xlarge | ✗ | 32.00 | 第二代 AMD EPYC 7R32 | 8 | 4 | 2 | 1 x NVIDIA A10G GPU | 24 GiB (1 x 24 GiB) |
| g5.4xlarge | ✗ | 64.00 | 第二代 AMD EPYC 7R32 | 16 | 8 | 2 | 1 x NVIDIA A10G GPU | 24 GiB (1 x 24 GiB) |
| g5.8xlarge | ✗ | 128.00 | 第二代 AMD EPYC 7R32 | 32 | 16 | 2 | 1 x NVIDIA A10G GPU | 24 GiB (1 x 24 GiB) |
| g5.12xlarge | ✗ | 192.00 | 第二代 AMD EPYC 7R32 | 48 | 24 | 2 | 4 x NVIDIA A10G GPU | 96 GiB (4 x 24 GiB) |
| g5.16xlarge | ✗ | 256.00 | 第二代 AMD EPYC 7R32 | 64 | 32 | 2 | 1 x NVIDIA A10G GPU | 24 GiB (1 x 24 GiB) |
| g5.24xlarge | ✗ | 384.00 | 第二代 AMD EPYC 7R32 | 96 | 48 | 2 | 4 x NVIDIA A10G GPU | 96 GiB (4 x 24 GiB) |
| g5.48xlarge | ✗ | 768.00 | 第二代 AMD EPYC 7R32 | 192 | 96 | 2 | 8 x NVIDIA A10G GPU | 192 GiB (8 x 24 GiB) |
| g5g | ||||||||
| g5g.xlarge | ✗ | 8.00 | Amazon Graviton2 处理器 | 4 | 4 | 1 | 1 x NVIDIA t4g GPU | 16 GiB (1 x 16 GiB) |
| g5g.2xlarge | ✗ | 16.00 | Amazon Graviton2 处理器 | 8 | 8 | 1 | 1 x NVIDIA t4g GPU | 16 GiB (1 x 16 GiB) |
| g5g.4xlarge | ✗ | 32.00 | Amazon Graviton2 处理器 | 16 | 16 | 1 | 1 x NVIDIA t4g GPU | 16 GiB (1 x 16 GiB) |
| g5g.8xlarge | ✗ | 64.00 | Amazon Graviton2 处理器 | 32 | 32 | 1 | 1 x NVIDIA t4g GPU | 16 GiB (1 x 16 GiB) |
| g5g.16xlarge | ✗ | 128.00 | Amazon Graviton2 处理器 | 64 | 64 | 1 | 2 x NVIDIA t4g GPU | 32 GiB (2 x 16 GiB) |
| g5g.metal | ✗ | 128.00 | Amazon Graviton2 处理器 | 64 | 64 | 1 | 2 x NVIDIA t4g GPU | 32 GiB (2 x 16 GiB) |
| G6 | ||||||||
| g6.xlarge | ✗ | 16.00 | 还有 EPYC 7R13 | 4 | 2 | 2 | 1 x NVIDIA L4 GPU | 22 GiB (1 x 22 GiB) |
| g6.2xlarge | ✗ | 32.00 | 还有 EPYC 7R13 | 8 | 4 | 2 | 1 x NVIDIA L4 GPU | 22 GiB (1 x 22 GiB) |
| g6.4xlarge | ✗ | 64.00 | 还有 EPYC 7R13 | 16 | 8 | 2 | 1 x NVIDIA L4 GPU | 22 GiB (1 x 22 GiB) |
| g6.8xlarge | ✗ | 128.00 | 还有 EPYC 7R13 | 32 | 16 | 2 | 1 x NVIDIA L4 GPU | 22 GiB (1 x 22 GiB) |
| g6.12xlarge | ✗ | 192.00 | 还有 EPYC 7R13 | 48 | 24 | 2 | 4 x NVIDIA L4 GPU | 357 GiB (4 x 89 GiB) |
| g6.16xlarge | ✗ | 256.00 | 还有 EPYC 7R13 | 64 | 32 | 2 | 1 x NVIDIA L4 GPU | 22 GiB (1 x 22 GiB) |
| g6.24xlarge | ✗ | 384.00 | 还有 EPYC 7R13 | 96 | 48 | 2 | 4 x NVIDIA L4 GPU | 357 GiB (4 x 89 GiB) |
| g6.48xlarge | ✗ | 768.00 | 还有 EPYC 7R13 | 192 | 96 | 2 | 8 x NVIDIA L4 GPU | 1430 GiB (8 x 178 GiB) |
| Gr6 | ||||||||
| gr6.4xlarge | ✗ | 128.00 | 还有 EPYC 7R13 | 16 | 8 | 2 | 1 x NVIDIA L4 GPU | 22 GiB (1 x 22 GiB) |
| gr6.8xlarge | ✗ | 256.00 | 还有 EPYC 7R13 | 32 | 16 | 2 | 1 x NVIDIA L4 GPU | 22 GiB (1 x 22 GiB) |
| Inf1 | ||||||||
| inf1.xlarge | ✗ | 8.00 | 英特尔至强 P-8259L | 4 | 2 | 2 | 1 x Amazon 推理推理加速器 | 8 GiB (1 x 8 GiB) |
| inf1.2xlarge | ✗ | 16.00 | 英特尔至强 P-8259L | 8 | 4 | 2 | 1 x Amazon 推理推理加速器 | 8 GiB (1 x 8 GiB) |
| inf1.6xlarge | ✗ | 48.00 | 英特尔至强 P-8259L | 24 | 12 | 2 | 4 x Amazon 推理推理加速器 | 32 GiB (4 x 8 GiB) |
| inf1.24xlarge | ✗ | 192.00 | 英特尔至强 P-8259L | 96 | 48 | 2 | 16 x Amazon 推理加速器 | 128 GiB (16 x 8 GiB) |
| Inf2 | ||||||||
| inf2.xlarge | ✗ | 16.00 | 还有 EPYC 7R13 | 4 | 2 | 2 | 1 x Amazon 推理推理加速器 | 32 GiB (1 x 32 GiB) |
| inf2.8xlarge | ✗ | 128.00 | 还有 EPYC 7R13 | 32 | 16 | 2 | 1 x Amazon 推理推理加速器 | 32 GiB (1 x 32 GiB) |
| inf2.24xlarge | ✗ | 384.00 | 还有 EPYC 7R13 | 96 | 48 | 2 | 6 x Amazon 推理加速器 | 192 GiB (6 x 32 GiB) |
| inf2.48xlarge | ✗ | 768.00 | 还有 EPYC 7R13 | 192 | 96 | 2 | 12 x Amazon 推理加速器 | 384 GiB (12 x 32 GiB) |
| P2 | ||||||||
| p2.xlarge | ✗ | 61.00 | 英特尔至强 e5-2686v4 | 4 | 2 | 2 | 1 x NVIDIA K80 GPU | 12 GiB (1 x 12 GiB) |
| p2.8xlarge | ✗ | 488.00 | 英特尔至强 e5-2686v4 | 32 | 16 | 2 | 8 x NVIDIA K80 GPU | 96 GiB (8 x 12 GiB) |
| p2.16xlarge | ✗ | 732.00 | 英特尔至强 E5-2686 v4 | 64 | 32 | 2 | 16 x NVIDIA K80 GPU | 192 GiB (16 x 12 GiB) |
| P3 | ||||||||
| p3.2xlarge | ✗ | 61.00 | 英特尔至强 E5-2686 v4 | 8 | 4 | 2 | 1 x NVIDIA V100 GPU | 16 GiB (1 x 16 GiB) |
| p3.8xlarge | ✗ | 244.00 | 英特尔至强 E5-2686 v4 | 32 | 16 | 2 | 4 x NVIDIA V100 GPU | 64 GiB (4 x 16 GiB) |
| p3.16xlarge | ✗ | 488.00 | 英特尔至强 E5-2686 v4 | 64 | 32 | 2 | 8 x NVIDIA V100 GPU | 128 GiB (8 x 16 GiB) |
| p3dn | ||||||||
| p3dn.24xlarge | ✗ | 768.00 | 英特尔至强铂金 8175 | 96 | 48 | 2 | 8 x NVIDIA V100 GPU | 256 GiB (8 x 32 GiB) |
| p4d | ||||||||
| p4d.24xlarge | ✗ | 1152.00 | 英特尔至强铂金 8175 | 96 | 48 | 2 | 8 x NVIDIA A100 GPU | 320 GiB (8 x 40 GiB) |
| p4de | ||||||||
| p4de.24xlarge | ✗ | 1152.00 | 英特尔至强铂金 8175 | 96 | 48 | 2 | 8 x NVIDIA A100 GPU | 640 GiB (8 x 80 GiB) |
| P5 | ||||||||
| p5.48xlarge | ✗ | 2048.00 | 还有 EPYC 7R13 | 192 | 96 | 2 | 8 x NVIDIA H100 GPU | 640 GiB (8 x 80 GiB) |
| trn1 | ||||||||
| trn1.2xlarge | ✗ | 32.00 | 英特尔至强 Ice Lake 8375C | 8 | 4 | 2 | 1 x Amazon Trainium 加速器 | 32 GiB (1 x 32 GiB) |
| trn1.32xlarge | ✗ | 512.00 | 英特尔至强 Ice Lake 8375C | 128 | 64 | 2 | 16 x Amazon Trainium 加速器 | 512 GiB (16 x 32 GiB) |
| trn1n | ||||||||
| trn1n.32xlarge | ✗ | 512.00 | 英特尔至强 Ice Lake | 128 | 64 | 2 | 16 x Amazon Trainium 加速器 | 512 GiB (16 x 32 GiB) |
| VT1 | ||||||||
| vt1.3xlarge | ✗ | 24.00 | 英特尔喀斯喀特湖 P-8259CL | 12 | 6 | 2 | 1 x 赛灵思 U30 媒体加速器 | 24 GiB (1 x 24 GiB) |
| vt1.6xlarge | ✗ | 48.00 | 英特尔喀斯喀特湖 P-8259CL | 24 | 12 | 2 | 2 x 赛灵思 U30 媒体加速器 | 48 GiB (2 x 24 GiB) |
| vt1.24xlarge | ✗ | 192.00 | 英特尔喀斯喀特湖 P-8259CL | 96 | 48 | 2 | 8 x 赛灵思 U30 媒体加速器 | 192 GiB (8 x 24 GiB) |
网络规格
| 实例类型 | 基准/突发带宽 (Gbps) | EFA | ENA | ENA Express | 网卡 | 最大网络接口 | 每个接口的 IP 地址 | IPv6 |
|---|---|---|---|---|---|---|---|---|
| DL1 | ||||||||
| dl1.24xlarge | 4x100Gb | ✓ | ✓ | ✗ | 4 | 60 | 50 | ✓ |
| dl2q | ||||||||
| dl2q.24xlarge | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| F1 | ||||||||
| f1.2xlarge 1 | 高达 10Gb | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| f1.4xlarge 1 | 高达 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| f1.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 50 | ✓ |
| G4ad | ||||||||
| g4ad.xlarge 1 | 2.0/10.0 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| g4ad.2xlarge 1 | 4.167/ 10.0 | ✗ | ✓ | ✗ | 1 | 2 | 4 | ✓ |
| g4ad.4xlarge 1 | 8.333/10.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| g4ad.8xlarge | 15Gb | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g4ad.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g4dn | ||||||||
| g4dn.xlarge 1 | 5.0/ 25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| g4dn.2xlarge 1 | 10.0/25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| g4dn.4xlarge 1 | 20.0/25.0 | ✗ | ✓ | ✗ | 1 | 3 | 10 | ✓ |
| g4dn.8xlarge | 50Gb | ✓ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g4dn.12xlarge | 50Gb | ✓ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g4dn.16xlarge | 50Gb | ✓ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g4dn.metal | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| G5 | ||||||||
| g5.xlarge 1 | 2.5/ 10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g5.2xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g5.4xlarge 1 | 10.0/25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g5.8xlarge | 25Gb | ✓ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g5.12xlarge | 40Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| g5.16xlarge | 25Gb | ✓ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g5.24xlarge | 50Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| g5.48xlarge | 100Gb | ✓ | ✓ | ✗ | 1 | 7 | 50 | ✓ |
| g5g | ||||||||
| g5g.xlarge 1 | 1.25/10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g5g.2xlarge 1 | 2.5/ 10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g5g.4xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g5g.8xlarge | 12Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g5g.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| g5g.metal | 25Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| G6 | ||||||||
| g6.xlarge 1 | 2.5/ 10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g6.2xlarge 1 | 5.0/ 10.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| g6.4xlarge 1 | 10.0/25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g6.8xlarge | 25Gb | ✓ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g6.12xlarge | 40Gb | ✓ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| g6.16xlarge | 25Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| g6.24xlarge | 50Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| g6.48xlarge | 100Gb | ✓ | ✓ | ✓ | 1 | 15 | 50 | ✓ |
| Gr6 | ||||||||
| gr6.4xlarge 1 | 10.0/25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| gr6.8xlarge | 25Gb | ✓ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| Inf1 | ||||||||
| inf1.xlarge 1 | 5.0/ 25.0 | ✗ | ✓ | ✗ | 1 | 4 | 10 | ✓ |
| inf1.2xlarge 1 | 5.0/ 25.0 | ✗ | ✓ | ✗ | 1 | 4 | 10 | ✓ |
| inf1.6xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| inf1.24xlarge | 100Gb | ✓ | ✓ | ✗ | 1 | 11 | 30 | ✓ |
| Inf2 | ||||||||
| inf2.xlarge 1 | 2.083/15.0 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| inf2.8xlarge 1 | 16.667/ 25.0 | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| inf2.24xlarge | 50Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| inf2.48xlarge | 100Gb | ✗ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| P2 | ||||||||
| p2.xlarge | 高 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| p2.8xlarge | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| p2.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| P3 | ||||||||
| p3.2xlarge 1 | 高达 10Gb | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| p3.8xlarge | 10Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| p3.16xlarge | 25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| p3dn | ||||||||
| p3dn.24xlarge | 100Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
| p4d | ||||||||
| p4d.24xlarge | 4x100Gb | ✓ | ✓ | ✗ | 4 | 60 | 50 | ✓ |
| p4de | ||||||||
| p4de.24xlarge | 4x100Gb | ✓ | ✓ | ✗ | 4 | 60 | 50 | ✓ |
| P5 | ||||||||
| p5.48xlarge | 3200 Gb | ✓ | ✓ | ✗ | 32 | 64 | 50 | ✓ |
| trn1 | ||||||||
| trn1.2xlarge 1 | 3.125/ 12.5 | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| trn1.32xlarge | 8x100Gb | ✓ | ✓ | ✗ | 8 | 40 | 50 | ✓ |
| trn1n | ||||||||
| trn1n.32xlarge | 16x 100 Gb | ✓ | ✓ | ✗ | 16 | 80 | 50 | ✓ |
| VT1 | ||||||||
| vt1.3xlarge | 3.12Gb | ✗ | ✓ | ✗ | 1 | 4 | 15 | ✓ |
| vt1.6xlarge | 6.25Gb | ✗ | ✓ | ✗ | 1 | 8 | 30 | ✓ |
| vt1.24xlarge | 25Gb | ✓ | ✓ | ✗ | 1 | 15 | 50 | ✓ |
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。
亚马逊 EBS 规格
| 实例类型 | 基准/最大带宽 (Mbps) | 基准/最大吞吐量（MB/s，128 KiB I/O） | 基准/最大 IOPS（16 KiB I/O） | NVMe | EBS 优化 2 |
|---|---|---|---|---|---|
| DL1 | |||||
| dl1.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| dl2q | |||||
| dl2q.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| F1 | |||||
| f1.2xlarge | 1700.00 | 212.50 | 12000.00 | ✗ | 默认值 |
| f1.4xlarge | 3500.00 | 437.50 | 44000.00 | ✗ | 默认值 |
| f1.16xlarge | 14000.00 | 1750.00 | 75000.00 | ✗ | 默认值 |
| G4ad | |||||
| g4ad.xlarge 1 | 400.00/3170.00 | 50.00/396.25 | 1700.00/13333.00 | ✓ | 默认值 |
| g4ad.2xlarge 1 | 800.00 /3170.00 | 100.00/396.25 | 3400.00/13333.00 | ✓ | 默认值 |
| g4ad.4xlarge 1 | 1580.00/3170.00 | 197.50/396.25 | 6700.00/13333.00 | ✓ | 默认值 |
| g4ad.8xlarge | 3170.00 | 396.25 | 13333.00 | ✓ | 默认值 |
| g4ad.16xlarge | 6300.00 | 787.50 | 26667.00 | ✓ | 默认值 |
| g4dn | |||||
| g4dn.xlarge 1 | 950.00/3500.00 | 118.75/437.50 | 3000.00/20000.00 | ✓ | 默认值 |
| g4dn.2xlarge 1 | 1150.00/3500.00 | 143.75/437.50 | 6000.00/20000.00 | ✓ | 默认值 |
| g4dn.4xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| g4dn.8xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| g4dn.12xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| g4dn.16xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| g4dn.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| G5 | |||||
| g5.xlarge 1 | 700.00/3500.00 | 87.50/437.50 | 3000.00/15000.00 | ✓ | 默认值 |
| g5.2xlarge 1 | 850.00/3500.00 | 106.25/ 437.50 | 3500.00/15000.00 | ✓ | 默认值 |
| g5.4xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| g5.8xlarge | 16000.00 | 2000.00 | 65000.00 | ✓ | 默认值 |
| g5.12xlarge | 16000.00 | 2000.00 | 65000.00 | ✓ | 默认值 |
| g5.16xlarge | 16000.00 | 2000.00 | 65000.00 | ✓ | 默认值 |
| g5.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| g5.48xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| g5g | |||||
| g5g.xlarge 1 | 1188.00 /4750.00 | 148.50/593.75 | 6000.00/20000.00 | ✓ | 默认值 |
| g5g.2xlarge 1 | 2375.00 /4750.00 | 296.88/593.75 | 12000.00/20000.00 | ✓ | 默认值 |
| g5g.4xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| g5g.8xlarge | 9500.00 | 1187.50 | 40000.00 | ✓ | 默认值 |
| g5g.16xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| g5g.metal | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| G6 | |||||
| g6.xlarge 1 | 1000.00 /5000.00 | 125.00/625.00 | 4000.00/20000.00 | ✓ | 默认值 |
| g6.2xlarge 1 | 2000.00/5000.00 | 250.00/625.00 | 8000.00/20000.00 | ✓ | 默认值 |
| g6.4xlarge | 8000.00 | 1000.00 | 32000.00 | ✓ | 默认值 |
| g6.8xlarge | 16000.00 | 2000.00 | 64000.00 | ✓ | 默认值 |
| g6.12xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| g6.16xlarge | 20000.00 | 2500.00 | 80000.00 | ✓ | 默认值 |
| g6.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| g6.48xlarge | 60000.00 | 7500.00 | 240000.00 | ✓ | 默认值 |
| Gr6 | |||||
| gr6.4xlarge | 8000.00 | 1000.00 | 32000.00 | ✓ | 默认值 |
| gr6.8xlarge | 16000.00 | 2000.00 | 64000.00 | ✓ | 默认值 |
| Inf1 | |||||
| inf1.xlarge 1 | 1190.00/4750.00 | 148.75/593.75 | 4000.00/20000.00 | ✓ | 默认值 |
| inf1.2xlarge 1 | 1190.00/4750.00 | 148.75/593.75 | 6000.00/20000.00 | ✓ | 默认值 |
| inf1.6xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| inf1.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| Inf2 | |||||
| inf2.xlarge 1 | 1250.00/1000.00 | 156.25/ 1250.00 | 6000.00/40000.00 | ✓ | 默认值 |
| inf2.8xlarge | 10000.00 | 1250.00 | 40000.00 | ✓ | 默认值 |
| inf2.24xlarge | 30000.00 | 3750.00 | 120000.00 | ✓ | 默认值 |
| inf2.48xlarge | 60000.00 | 7500.00 | 240000.00 | ✓ | 默认值 |
| P2 | |||||
| p2.xlarge | 750.00 | 93.75 | 6000.00 | ✗ | 默认值 |
| p2.8xlarge | 5000.00 | 625.00 | 32500.00 | ✗ | 默认值 |
| p2.16xlarge | 10000.00 | 1250.00 | 65000.00 | ✗ | 默认值 |
| P3 | |||||
| p3.2xlarge | 1750.00 | 218.75 | 10000.00 | ✗ | 默认值 |
| p3.8xlarge | 7000.00 | 875.00 | 40000.00 | ✗ | 默认值 |
| p3.16xlarge | 14000.00 | 1750.00 | 80000.00 | ✗ | 默认值 |
| p3dn | |||||
| p3dn.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| p4d | |||||
| p4d.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| p4de | |||||
| p4de.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
| P5 | |||||
| p5.48xlarge | 80000.00 | 10000.00 | 260000.00 | ✓ | 默认值 |
| trn1 | |||||
| trn1.2xlarge 1 | 5000.00/20000.00 | 625.00/25000.00 | 16250.00/65000.00 | ✓ | 默认值 |
| trn1.32xlarge | 80000.00 | 10000.00 | 260000.00 | ✓ | 默认值 |
| trn1n | |||||
| trn1n.32xlarge | 80000.00 | 10000.00 | 260000.00 | ✓ | 默认值 |
| VT1 | |||||
| vt1.3xlarge 1 | 2375.00 /4750.00 | 296.88/593.75 | 10000.00/20000.00 | ✓ | 默认值 |
| vt1.6xlarge | 4750.00 | 593.75 | 20000.00 | ✓ | 默认值 |
| vt1.24xlarge | 19000.00 | 2375.00 | 80000.00 | ✓ | 默认值 |
注意
1 这些实例可以至少每 24 小时支持一次 30 分钟的最大性能，之后会恢复到基线性能。其他实例保持最高性能的时间不确定。如果工作负载需要在超过 30 分钟的时长内保持最大性能，请选择以下任一实例。
2 default 表示默认情况下实例已启用 EBS 优化。 supported表示可以选择启用实例以进行 EBS 优化。有关更多信息，请参阅 Amazon EBS 优化的实例。
实例存储规格
| 实例类型 | 实例存储卷 | 实例存储类型 | 读/写性能 (IOPS) | 需要初始化 1 | 修剪支持 2 |
|---|---|---|---|---|---|
| DL1 | |||||
| dl1.24xlarge | 4 x 1000 GB | NVMe SSD | 1,000,000 /800,000 | ✓ | |
| F1 | |||||
| f1.2xlarge | 1 x 470GB | NVMe SSD | ✓ | ||
| f1.4xlarge | 1 x 940 GB | NVMe SSD | ✓ | ||
| f1.16xlarge | 4 x 940 GB | NVMe SSD | ✓ | ||
| G4ad | |||||
| g4ad.xlarge | 1 x 150GB | NVMe SSD | 10,417/8,333 | ✓ | |
| g4ad.2xlarge | 1 x 300GB | NVMe SSD | 20,833/16,667 | ✓ | |
| g4ad.4xlarge | 1 x 600 GB | NVMe SSD | 41,667 /33,333 | ✓ | |
| g4ad.8xlarge | 1 x 1200 GB | NVMe SSD | 83,333/66,667 | ✓ | |
| g4ad.16xlarge | 2 x 1200 GB | NVMe SSD | 166,666 /133,332 | ✓ | |
| g4dn | |||||
| g4dn.xlarge | 1 x 125 GB | NVMe SSD | 42,500 /32,500 | ✓ | |
| g4dn.2xlarge | 1 x 225 GB | NVMe SSD | 42,500 /32,500 | ✓ | |
| g4dn.4xlarge | 1 x 225 GB | NVMe SSD | 85,000 /65,000 | ✓ | |
| g4dn.8xlarge | 1 x 900GB | NVMe SSD | 25万/200,000 | ✓ | |
| g4dn.12xlarge | 1 x 900GB | NVMe SSD | 25万/200,000 | ✓ | |
| g4dn.16xlarge | 1 x 900GB | NVMe SSD | 25万/200,000 | ✓ | |
| g4dn.metal | 2 x 900 GB | NVMe SSD | 500,000/400,000 | ✓ | |
| G5 | |||||
| g5.xlarge | 1 x 250 GB | NVMe SSD | 40,625/20,313 | ✓ | |
| g5.2xlarge | 1 x 450GB | NVMe SSD | 40,625/20,313 | ✓ | |
| g5.4xlarge | 1 x 600 GB | NVMe SSD | 125,000 /62,500 | ✓ | |
| g5.8xlarge | 1 x 900GB | NVMe SSD | 25万/125,000 | ✓ | |
| g5.12xlarge | 1 x 3800 GB | NVMe SSD | 312,500 /156,250 | ✓ | |
| g5.16xlarge | 1 x 1900 GB | NVMe SSD | 25万/125,000 | ✓ | |
| g5.24xlarge | 1 x 3800 GB | NVMe SSD | 312,500 /156,250 | ✓ | |
| g5.48xlarge | 2 x 3800 GB | NVMe SSD | 625,000 /312,500 | ✓ | |
| G6 | |||||
| g6.xlarge | 1 x 250 GB | NVMe SSD | 40,625/20,000 | ✓ | |
| g6.2xlarge | 1 x 450GB | NVMe SSD | 40,625/20,000 | ✓ | |
| g6.4xlarge | 1 x 600 GB | NVMe SSD | 125,000/40,000 | ✓ | |
| g6.8xlarge | 2 x 450 GB | NVMe SSD | 25万/80,000 | ✓ | |
| g6.12xlarge | 4 x 3800 GB | NVMe SSD | 312,500 /125,000 | ✓ | |
| g6.16xlarge | 2 x 1900 GB | NVMe SSD | 25万/80,000 | ✓ | |
| g6.24xlarge | 4 x 3800 GB | NVMe SSD | 312,500 /156,248 | ✓ | |
| g6.48xlarge | 8 x 7600 GB | NVMe SSD | 625,000 /312,496 | ✓ | |
| Gr6 | |||||
| gr6.4xlarge | 1 x 600 GB | NVMe SSD | 125,000/40,000 | ✓ | |
| gr6.8xlarge | 2 x 450 GB | NVMe SSD | 25万/80,000 | ✓ | |
| p3dn | |||||
| p3dn.24xlarge | 2 x 900 GB | NVMe SSD | 700,000 /340,000 | ✓ | |
| p4d | |||||
| p4d.24xlarge | 8 x 1000 GB | NVMe SSD | 200万/1600,000 | ✓ | |
| p4de | |||||
| p4de.24xlarge | 8 x 1000 GB | NVMe SSD | 200万/1600,000 | ✓ | |
| P5 | |||||
| p5.48xlarge | 8 x 3800 GB | NVMe SSD | 4,400,000/220,000 | ✓ | |
| trn1 | |||||
| trn1.2xlarge | 1 x 474 GB | NVMe SSD | 107,500 /45,000 | ✓ | |
| trn1.32xlarge | 4 x 1900 GB | NVMe SSD | 1720,000 /720,000 | ✓ | |
| trn1n | |||||
| trn1n.32xlarge | 4 x 1900 GB | NVMe SSD | 1720,000 /720,000 | ✓ | |
1 除非初始化，否则连接到某些实例的卷将受到首次写入惩罚。有关更多信息，请参阅优化实例存储卷的磁盘性能。
2 有关更多信息，请参阅实例存储卷 TRIM 支持。
安全规范
| 实例类型 | EBS 加密 | 实例存储加密 | 传输中加密 | AMD SEV-SNP | NitroTPM | Nitro 飞地 |
|---|---|---|---|---|---|---|
| DL1 | ||||||
| dl1.24xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ |
| dl2q | ||||||
| dl2q.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✓ |
| F1 | ||||||
| f1.2xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
| f1.4xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
| f1.16xlarge | ✓ | ✓ | ✗ | ✗ | ✗ | ✗ |
| G4ad | ||||||
| g4ad.xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| g4ad.2xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| g4ad.4xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| g4ad.8xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| g4ad.16xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| g4dn | ||||||
| g4dn.xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g4dn.2xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g4dn.4xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g4dn.8xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g4dn.12xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g4dn.16xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g4dn.metal | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| G5 | ||||||
| g5.xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5.2xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5.4xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5.8xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5.12xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5.16xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5.24xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5.48xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g5g | ||||||
| g5g.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| g5g.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| g5g.4xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| g5g.8xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| g5g.16xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| g5g.metal | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| G6 | ||||||
| g6.xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g6.2xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g6.4xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g6.8xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g6.12xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g6.16xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g6.24xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| g6.48xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| Gr6 | ||||||
| gr6.4xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| gr6.8xlarge | ✓ | ✓ | ✓ | ✗ | ✓ | ✓ |
| Inf1 | ||||||
| inf1.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| inf1.2xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| inf1.6xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| inf1.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| Inf2 | ||||||
| inf2.xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| inf2.8xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| inf2.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| inf2.48xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✓ | ✓ |
| P2 | ||||||
| p2.xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| p2.8xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| p2.16xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| P3 | ||||||
| p3.2xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| p3.8xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| p3.16xlarge | ✓ | 不支持实例存储 | ✗ | ✗ | ✗ | ✗ |
| p3dn | ||||||
| p3dn.24xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ |
| p4d | ||||||
| p4d.24xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ |
| p4de | ||||||
| p4de.24xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ |
| P5 | ||||||
| p5.48xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✓ |
| trn1 | ||||||
| trn1.2xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| trn1.32xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| trn1n | ||||||
| trn1n.32xlarge | ✓ | ✓ | ✓ | ✗ | ✗ | ✗ |
| VT1 | ||||||
| vt1.3xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| vt1.6xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |
| vt1.24xlarge | ✓ | 不支持实例存储 | ✓ | ✗ | ✗ | ✗ |