G2 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.22nd Generation2 = 2nd GenerationAWS 2nd generation hardware platform with updated CPU/system architecture.Common use cases
- Machine learning training/inference
- High-performance computing
- Graphics rendering
Instance types (2)
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| g2.2xlarge | 8 | 15.0 GiB | 1x | — | Standard | x86_64 | $0.6500 |
| g2.8xlarge | 32 | 60.0 GiB | 4x | — | Standard | x86_64 | $2.6000 |