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// RUN — FITS
Can the NVIDIA DGX Spark run K2 Think?
Yes — here's how fast and up to what context, with real measured numbers.
K2 Think on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 190k | 3.1-3.7 t/s | ~0.1-0.1 (slow) |
| Q8 | yes | 312k | 6.2-7.4 t/s | ~0.2-0.3 (slow) |
| Q4 | yes | 365k | 11.1-13.3 t/s | ~0.4-0.5 (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 K2 Think?▶
Yes. At Q4 it generates ~11.1-13.3 tok/s and fits up to 365k context; beyond that it spills to SSD swap and slows to ~0.4-0.5 tok/s.
How much context fits?▶
At Q4, up to about 365k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.