AI/ML infrastructure requires specialized server components — GPUs for compute, NVMe for data pipelines, and 100/200/400GbE for GPU-to-GPU communication.
AI Server Stack
| Layer | Component | Recommendation |
|---|---|---|
| Compute | GPU | NVIDIA H100/A100 (training), L40S (inference) |
| Storage | NVMe SSD | High-endurance MU/WI for checkpointing |
| Network | InfiniBand/Ethernet | ConnectX-7 (400GbE) or HDR InfiniBand |
| Memory | DDR5 | Maximum capacity for data preprocessing |