🔌
New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
// RUN — FITS
Can the NVIDIA DGX Spark run Pythia-160m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-160m on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1730k | 622.8-742.2 t/s | ~22.8-27.2 (slow) |
| Q8 | yes | 1732k | 1245.6-1484.4 t/s | ~45.6-54.4 (slow) |
| Q4 | yes | 1734k | 2224.2-2650.8 t/s | ~81.5-97.1 (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 Pythia-160m?▶
Yes. At Q4 it generates ~2224.2-2650.8 tok/s and fits up to 1734k context; beyond that it spills to SSD swap and slows to ~81.5-97.1 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.