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// RUN — FITS
Can the NVIDIA DGX Spark run SPIDER2?
Yes — here's how fast and up to what context, with real measured numbers.
SPIDER2 on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1735k | 243311.9-289974.5 t/s | ~8912.5-10621.8 (slow) |
| Q8 | yes | 1735k | 486623.9-579949 t/s | ~17825.1-21243.6 (slow) |
| Q4 | yes | 1735k | 868971.2-1035623.2 t/s | ~31830.4-37934.9 (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 SPIDER2?▶
Yes. At Q4 it generates ~868971.2-1035623.2 tok/s and fits up to 1735k context; beyond that it spills to SSD swap and slows to ~31830.4-37934.9 tok/s.
How much context fits?▶
At Q4, up to about 1735k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.