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// RUN — FITS
Can the NVIDIA DGX Spark run Adaptive Inputs + LayerDrop?
Yes — here's how fast and up to what context, with real measured numbers.
Adaptive Inputs + LayerDrop on the NVIDIA DGX Spark
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1722k | 235.6-280.7 t/s | ~8.6-10.3 (slow) |
| Q8 | yes | 1728k | 471.1-561.5 t/s | ~17.3-20.6 (slow) |
| Q4 | yes | 1731k | 841.3-1002.7 t/s | ~30.8-36.7 (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 Adaptive Inputs + LayerDrop?▶
Yes. At Q4 it generates ~841.3-1002.7 tok/s and fits up to 1731k context; beyond that it spills to SSD swap and slows to ~30.8-36.7 tok/s.
How much context fits?▶
At Q4, up to about 1731k tokens stay in fast memory; longer context spills to SSD swap and throughput collapses.