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// RUN — FITS
Can the NVIDIA A100 PCIe 80GB run YaLM?
Yes — here's how fast and up to what context, with real measured numbers.
YaLM on the NVIDIA A100 PCIe 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 49k | 25.2-30.1 t/s | ~0.5-0.6 (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 A100 PCIe 80GB run YaLM?▶
Yes. At Q4 it generates ~25.2-30.1 tok/s and fits up to 49k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~0.5-0.6 tok/s.
How much context fits?▶
At Q4, up to about 49k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.