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// RUN — FITS
Can the NVIDIA DGX Spark run AraBERT LArge v2?
Yes — here's how fast and up to what context, with real measured numbers.
AraBERT LArge v2 on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1724k | 268.6-320.1 t/s | ~9.8-11.7 (slow) |
| Q8 | yes | 1729k | 537.2-640.2 t/s | ~19.7-23.5 (slow) |
| Q4 | yes | 1732k | 959.2-1143.2 t/s | ~35.1-41.9 (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 AraBERT LArge v2?▶
Yes. At Q4 it generates ~959.2-1143.2 tok/s and fits up to 1732k context; beyond that it spills to SSD swap and slows to ~35.1-41.9 tok/s.
How much context fits?▶
At Q4, up to about 1732k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.