G6F 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.66th Generation6 = 6th GenerationAWS 6th generation hardware platform with updated CPU/system architecture.fFast / FPGA Accelerationf = Fast / FPGA AccelerationEquipped with hardware accelerators for specialized compute, rendering, or FPGA execution.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Instance types (4)
With a 3-year Compute Savings Plan (No Upfront), g6f sizes on Linux in US East (N. Virginia) (us-east-1) cost 43% 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) |
|---|---|---|---|---|---|---|---|
| g6f.large | 2 | 8 GB | 0.125x | 3.0 GB | Standard | x86_64 | $0.2020 |
| g6f.xlarge | 4 | 16 GB | 0.125x | 3.0 GB | Standard | x86_64 | $0.2375 |
| g6f.2xlarge | 8 | 32 GB | 0.25x | 6.0 GB | Standard | x86_64 | $0.4750 |
| g6f.4xlarge | 16 | 64 GB | 0.5x | 12.0 GB | Standard | x86_64 | $0.9500 |