🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN — FITS
Can the NVIDIA H200 run EngGPT2 16B-A3B?
Yes — here's how fast and up to what context, with real measured numbers.
EngGPT2 16B-A3B on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 367k | 109.5-130.5 t/s | ~0.9-1.1 (slow) |
| Q8 | yes | 428k | 219-261 t/s | ~1.8-2.2 (slow) |
| Q4 | yes | 455k | 391.1-466.1 t/s | ~3.3-3.9 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA H200 run EngGPT2 16B-A3B?▶
Yes. At Q4 it generates ~391.1-466.1 tok/s and fits up to 455k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~3.3-3.9 tok/s.
How much context fits?▶
At Q4, up to about 455k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.