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// RUN — FITS
Can the NVIDIA A100 SXM4 80GB run MADLAD-400 10B?
Yes — here's how fast and up to what context, with real measured numbers.
MADLAD-400 10B on the NVIDIA A100 SXM4 80GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 309k | 69.6-82.9 t/s | ~1.4-1.6 (slow) |
| Q8 | yes | 375k | 139.1-165.8 t/s | ~2.7-3.3 (slow) |
| Q4 | yes | 403k | 248.4-296 t/s | ~4.9-5.8 (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 SXM4 80GB run MADLAD-400 10B?▶
Yes. At Q4 it generates ~248.4-296 tok/s and fits up to 403k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~4.9-5.8 tok/s.
How much context fits?▶
At Q4, up to about 403k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.