P3 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.33rd Generation3 = 3rd GenerationAWS 3rd 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) |
|---|---|---|---|---|---|---|---|
| p3.2xlarge | 8 | 61.0 GiB | 1x | 16.0 GB | Standard | x86_64 | $3.0600 |
| p3.8xlarge | 32 | 244.0 GiB | 4x | 64.0 GB | Standard | x86_64 | $12.2400 |
| p3.16xlarge | 64 | 488.0 GiB | 8x | 128.0 GB | Standard | x86_64 | $24.4800 |