G7 Accelerated Computing
⚡ GPU AcceleratedHardware accelerators (GPUs, FPGAs) for specialized compute.
Name:
gGPU Graphics & ML Inferenceg = GPU Graphics & ML InferencePowered by GPUs (NVIDIA/AMD) for graphics-intensive applications, video encoding, remote workstations, and machine learning inference.77th Generation7 = 7th GenerationAWS 7th generation hardware platform with updated CPU/system architecture.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Instance types (6)
With a 3-year Compute Savings Plan (No Upfront), g7 sizes on Linux in US East (N. Virginia) (us-east-1) cost 46% less than the on-demand rate. Each size's page has the rates in every region. How Savings Plans are applied.
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| g7.2xlarge | 8 | 32 GB | 1x | 32.0 GB | Standard | x86_64 | $2.5200 |
| g7.4xlarge | 16 | 64 GB | 1x | 32.0 GB | Standard | x86_64 | $3.0421 |
| g7.8xlarge | 32 | 128 GB | 1x | 32.0 GB | Standard | x86_64 | $4.0862 |
| g7.12xlarge | 48 | 192 GB | 2x | 64.0 GB | Standard | x86_64 | $7.1283 |
| g7.24xlarge | 96 | 384 GB | 4x | 128.0 GB | Standard | x86_64 | $14.2566 |
| g7.48xlarge | 192 | 768 GB | 8x | 256.0 GB | Standard | x86_64 | $28.5133 |