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// RUN — FITS
Can the NVIDIA DGX Spark run CausalLM 14B?
Yes — here's how fast and up to what context, with real measured numbers.
CausalLM 14B on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 515k | 6.8-8.1 t/s | ~0.2-0.3 (slow) |
| Q8 | yes | 604k | 13.6-16.2 t/s | ~0.5-0.6 (slow) |
| Q4 | yes | 644k | 24.2-28.9 t/s | ~0.9-1.1 (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 CausalLM 14B?▶
Yes. At Q4 it generates ~24.2-28.9 tok/s and fits up to 644k context; beyond that it spills to SSD swap and slows to ~0.9-1.1 tok/s.
How much context fits?▶
At Q4, up to about 644k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.