🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN — FITS
Can the NVIDIA DGX Spark run Mistral Small 3.2?
Yes — here's how fast and up to what context, with real measured numbers.
Mistral Small 3.2 on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 251k | 4.2-4.9 t/s | ~0.2-0.2 (slow) |
| Q8 | yes | 342k | 8.3-9.9 t/s | ~0.3-0.4 (slow) |
| Q4 | yes | 382k | 14.8-17.7 t/s | ~0.5-0.6 (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 3.2?▶
Yes. At Q4 it generates ~14.8-17.7 tok/s and fits up to 382k context; beyond that it spills to SSD swap and slows to ~0.5-0.6 tok/s.
How much context fits?▶
At Q4, up to about 382k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.