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// RUN — FITS
Can the NVIDIA DGX Spark run Mistral Large 2.1?
Yes — here's how fast and up to what context, with real measured numbers.
Mistral Large 2.1 on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 137k | 2.9-3.4 t/s | ~0.1-0.1 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to SSD swap and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA DGX Spark run Mistral Large 2.1?▶
Yes. At Q4 it generates ~2.9-3.4 tok/s and fits up to 137k context; beyond that it spills to SSD swap and slows to ~0.1-0.1 tok/s.
How much context fits?▶
At Q4, up to about 137k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.