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// RUN — FITS
Can the NVIDIA DGX Spark run ALBERT?
Yes — here's how fast and up to what context, with real measured numbers.
ALBERT on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1734k | 5535.8-6597.5 t/s | ~202.8-241.7 (slow) |
| Q8 | yes | 1735k | 11071.7-13195 t/s | ~405.6-483.3 (slow) |
| Q4 | yes | 1735k | 19770.8-23562.5 t/s | ~724.2-863.1 (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 ALBERT?▶
Yes. At Q4 it generates ~19770.8-23562.5 tok/s and fits up to 1735k context; beyond that it spills to SSD swap and slows to ~724.2-863.1 tok/s.
How much context fits?▶
At Q4, up to about 1735k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.