P2 Accelerated Computing
⚡ GPU AcceleratedHardware accelerators (GPUs, FPGAs) for specialized compute.
Name:
pGPU Deep Learning & HPCp = GPU Deep Learning & HPCHigh-end NVIDIA GPUs (Blackwell, Hopper, Ampere, Volta) built for frontier AI/LLM training, HPC simulations, and generative AI.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 (3)
| Instance | vCPU | Memory | GPU Count | GPU Memory | Memory Type | Architecture | From (Linux, $/hr) |
|---|---|---|---|---|---|---|---|
| p2.xlarge | 4 | 61.0 GiB | 1x | — | Standard | x86_64 | $0.9000 |
| p2.8xlarge | 32 | 488.0 GiB | 8x | — | Standard | x86_64 | $7.2000 |
| p2.16xlarge | 64 | 732.0 GiB | 16x | — | Standard | x86_64 | $14.4000 |