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// RUN — FITS
Can the NVIDIA DGX Spark run OpenPhenom-S/16?
Yes — here's how fast and up to what context, with real measured numbers.
OpenPhenom-S/16 on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1729k | 559.7-667 t/s | ~20.5-24.4 (slow) |
| Q8 | yes | 1732k | 1119.3-1334 t/s | ~41-48.9 (slow) |
| Q4 | yes | 1733k | 1998.8-2382.1 t/s | ~73.2-87.3 (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 OpenPhenom-S/16?▶
Yes. At Q4 it generates ~1998.8-2382.1 tok/s and fits up to 1733k context; beyond that it spills to SSD swap and slows to ~73.2-87.3 tok/s.
How much context fits?▶
At Q4, up to about 1733k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.