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// RUN — FITS
Can the NVIDIA DGX Spark run Hyena-2 153M?
Yes — here's how fast and up to what context, with real measured numbers.
Hyena-2 153M on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1730k | 651.3-776.2 t/s | ~23.9-28.4 (slow) |
| Q8 | yes | 1733k | 1302.5-1552.4 t/s | ~47.7-56.9 (slow) |
| Q4 | yes | 1734k | 2326-2772.1 t/s | ~85.2-101.5 (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 Hyena-2 153M?▶
Yes. At Q4 it generates ~2326-2772.1 tok/s and fits up to 1734k context; beyond that it spills to SSD swap and slows to ~85.2-101.5 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.