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// RUN — FITS
Can the NVIDIA DGX Spark run Yi-1.5-9B?
Yes — here's how fast and up to what context, with real measured numbers.
Yi-1.5-9B on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 733k | 11.3-13.4 t/s | ~0.4-0.5 (slow) |
| Q8 | yes | 800k | 22.6-26.9 t/s | ~0.8-1 (slow) |
| Q4 | yes | 830k | 40.3-48 t/s | ~1.5-1.8 (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 Yi-1.5-9B?▶
Yes. At Q4 it generates ~40.3-48 tok/s and fits up to 830k context; beyond that it spills to SSD swap and slows to ~1.5-1.8 tok/s.
How much context fits?▶
At Q4, up to about 830k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.