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// RUN — FITS
Can the NVIDIA RTX 6000 Ada 48GB run Pythia-160m?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-160m on the NVIDIA RTX 6000 Ada 48GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 646k | 2190-2610 t/s | ~91.3-108.8 (slow) |
| Q8 | yes | 648k | 4380-5220 t/s | ~182.5-217.5 (slow) |
| Q4 | yes | 650k | 7821.4-9321.4 t/s | ~325.9-388.4 (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 RTX 6000 Ada 48GB run Pythia-160m?▶
Yes. At Q4 it generates ~7821.4-9321.4 tok/s and fits up to 650k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~325.9-388.4 tok/s.
How much context fits?▶
At Q4, up to about 650k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.