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// RUN — FITS
Can the NVIDIA DGX Spark run BART-large?
Yes — here's how fast and up to what context, with real measured numbers.
BART-large on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1723k | 245.3-292.3 t/s | ~9-10.7 (slow) |
| Q8 | yes | 1729k | 490.5-584.6 t/s | ~18-21.4 (slow) |
| Q4 | yes | 1731k | 875.9-1043.9 t/s | ~32.1-38.2 (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 BART-large?▶
Yes. At Q4 it generates ~875.9-1043.9 tok/s and fits up to 1731k context; beyond that it spills to SSD swap and slows to ~32.1-38.2 tok/s.
How much context fits?▶
At Q4, up to about 1731k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.