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// RUN — FITS
Can the NVIDIA DGX Spark run PlasmidGPT?
Yes — here's how fast and up to what context, with real measured numbers.
PlasmidGPT on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1732k | 905.9-1079.6 t/s | ~33.2-39.5 (slow) |
| Q8 | yes | 1733k | 1811.7-2159.2 t/s | ~66.4-79.1 (slow) |
| Q4 | yes | 1734k | 3235.2-3855.7 t/s | ~118.5-141.2 (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 PlasmidGPT?▶
Yes. At Q4 it generates ~3235.2-3855.7 tok/s and fits up to 1734k context; beyond that it spills to SSD swap and slows to ~118.5-141.2 tok/s.
How much context fits?▶
At Q4, up to about 1734k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.