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// RUN — FITS
Can the NVIDIA H200 run SGPT BE 5.8B?
Yes — here's how fast and up to what context, with real measured numbers.
SGPT BE 5.8B on the NVIDIA H200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 890k | 302.1-360 t/s | ~2.5-3 (slow) |
| Q8 | yes | 934k | 604.1-720 t/s | ~5-6 (slow) |
| Q4 | yes | 953k | 1078.8-1285.7 t/s | ~9-10.7 (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 SGPT BE 5.8B?▶
Yes. At Q4 it generates ~1078.8-1285.7 tok/s and fits up to 953k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~9-10.7 tok/s.
How much context fits?▶
At Q4, up to about 953k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.