🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN ON DATACENTER GPU
Run YaLM on Datacenter GPU hardware
10 options ranked by estimated speed at Q4 / 8k context.
| Hardware | Est tok/s | Fits 8k? | Max ctx | ~Price |
|---|---|---|---|---|
| NVIDIA B200 → | ~124.3 | yes | 364k | — |
| AMD Instinct MI325X → | ~82.5 | yes | 543k | — |
| NVIDIA H200 → | ~74.6 | yes | 220k | — |
| AMD Instinct MI300X 192GB → | ~72.9 | yes | 364k | ~$15,000 |
| NVIDIA H100 SXM5 80GB → | ~52 | yes | 49k | ~$30,000 |
| Intel Gaudi 3 → | ~47.6 | yes | 184k | — |
| NVIDIA A100 SXM4 80GB → | ~31.7 | yes | 49k | ~$15,000 |
| NVIDIA H100 PCIe 80GB → | ~31.1 | yes | 49k | ~$25,000 |
| NVIDIA A100 PCIe 80GB → | ~30.1 | yes | 49k | ~$12,000 |
| NVIDIA RTX PRO 6000 Blackwell → | ~27.8 | yes | 94k | ~$8,500 |
Estimate at Q4 (memory-bound). Click any option for its full per-hardware estimate and measured numbers.
FAQ
What Datacenter GPU hardware runs YaLM?▶
On GenAIList, 10 Datacenter GPU options can run YaLM at Q4 — the fastest is the NVIDIA B200 at ~124.3 tok/s.
How fast is YaLM on Datacenter GPU hardware?▶
Estimated generation speed ranges from ~27.8 to ~124.3 tok/s at Q4 (memory-bandwidth bound). Click any option for its full estimate and any measured numbers.