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// RUN — FITS
Can the NVIDIA GeForce RTX 5090 run Big-Little Net (vision)?
Yes — here's how fast and up to what context, with real measured numbers.
Big-Little Net (vision) on the NVIDIA GeForce RTX 5090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 424k | 8455-10076.5 t/s | ~188.7-224.9 (slow) |
| Q8 | yes | 425k | 16910-20153.1 t/s | ~377.5-449.8 (slow) |
| Q4 | yes | 426k | 30196.5-35987.6 t/s | ~674-803.3 (slow) |
Estimate (memory-bound). Beyond "max context" the KV cache spills to system RAM offload (depends on your system RAM) and speed drops to the "beyond" figure.
FAQ
Can the NVIDIA GeForce RTX 5090 run Big-Little Net (vision)?▶
Yes. At Q4 it generates ~30196.5-35987.6 tok/s and fits up to 426k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~674-803.3 tok/s.
How much context fits?▶
At Q4, up to about 426k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.