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// RUN — FITS
Can the NVIDIA DGX Spark run MADLAD-400 10B?
Yes — here's how fast and up to what context, with real measured numbers.
MADLAD-400 10B on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 563k | 9.3-11.1 t/s | ~0.3-0.4 (slow) |
| Q8 | yes | 629k | 18.6-22.2 t/s | ~0.7-0.8 (slow) |
| Q4 | yes | 657k | 33.3-39.6 t/s | ~1.2-1.5 (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 MADLAD-400 10B?▶
Yes. At Q4 it generates ~33.3-39.6 tok/s and fits up to 657k context; beyond that it spills to SSD swap and slows to ~1.2-1.5 tok/s.
How much context fits?▶
At Q4, up to about 657k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.