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// RUN — FITS
Can the NVIDIA H100 SXM5 80GB run Llama-NV-Embed-Reasoning-3B?
Yes — here's how fast and up to what context, with real measured numbers.
Llama-NV-Embed-Reasoning-3B on the NVIDIA H100 SXM5 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1003k | 382.1-455.4 t/s | ~4.6-5.4 (slow) |
| Q8 | yes | 1051k | 764.2-910.8 t/s | ~9.1-10.9 (slow) |
| Q4 | yes | 1073k | 1364.7-1626.4 t/s | ~16.3-19.4 (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 H100 SXM5 80GB run Llama-NV-Embed-Reasoning-3B?▶
Yes. At Q4 it generates ~1364.7-1626.4 tok/s and fits up to 1073k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~16.3-19.4 tok/s.
How much context fits?▶
At Q4, up to about 1073k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.