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// RUN — FITS
Can the NVIDIA DGX Spark run Mistral Small v24.09?
Yes — here's how fast and up to what context, with real measured numbers.
Mistral Small v24.09 on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 266k | 4.5-5.4 t/s | ~0.2-0.2 (slow) |
| Q8 | yes | 350k | 9.1-10.8 t/s | ~0.3-0.4 (slow) |
| Q4 | yes | 387k | 16.2-19.3 t/s | ~0.6-0.7 (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 Small v24.09?▶
Yes. At Q4 it generates ~16.2-19.3 tok/s and fits up to 387k context; beyond that it spills to SSD swap and slows to ~0.6-0.7 tok/s.
How much context fits?▶
At Q4, up to about 387k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.