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// RUN — FITS
Can the NVIDIA DGX Spark run Ankh_base?
Yes — here's how fast and up to what context, with real measured numbers.
Ankh_base on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1712k | 134.7-160.5 t/s | ~4.9-5.9 (slow) |
| Q8 | yes | 1724k | 269.3-321 t/s | ~9.9-11.8 (slow) |
| Q4 | yes | 1729k | 480.9-573.1 t/s | ~17.6-21 (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 Ankh_base?▶
Yes. At Q4 it generates ~480.9-573.1 tok/s and fits up to 1729k context; beyond that it spills to SSD swap and slows to ~17.6-21 tok/s.
How much context fits?▶
At Q4, up to about 1729k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.