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// RUN — FITS
Can the NVIDIA DGX Spark run AbLang (heavy sequences)?
Yes — here's how fast and up to what context, with real measured numbers.
AbLang (heavy sequences) on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1724k | 280.7-334.5 t/s | ~10.3-12.3 (slow) |
| Q8 | yes | 1730k | 561.4-669 t/s | ~20.6-24.5 (slow) |
| Q4 | yes | 1732k | 1002.5-1194.7 t/s | ~36.7-43.8 (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 AbLang (heavy sequences)?▶
Yes. At Q4 it generates ~1002.5-1194.7 tok/s and fits up to 1732k context; beyond that it spills to SSD swap and slows to ~36.7-43.8 tok/s.
How much context fits?▶
At Q4, up to about 1732k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.