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// RUN — FITS
Can the NVIDIA DGX Spark run Zidong Taichu?
Yes — here's how fast and up to what context, with real measured numbers.
Zidong Taichu on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1637k | 31.1-37.1 t/s | ~1.1-1.4 (slow) |
| Q8 | yes | 1686k | 62.3-74.2 t/s | ~2.3-2.7 (slow) |
| Q4 | yes | 1708k | 111.2-132.5 t/s | ~4.1-4.9 (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 Zidong Taichu?▶
Yes. At Q4 it generates ~111.2-132.5 tok/s and fits up to 1708k context; beyond that it spills to SSD swap and slows to ~4.1-4.9 tok/s.
How much context fits?▶
At Q4, up to about 1708k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.