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// RUN — FITS
Can the NVIDIA RTX PRO 6000 Blackwell run Pythia-1b?
Yes — here's how fast and up to what context, with real measured numbers.
Pythia-1b on the NVIDIA RTX PRO 6000 Blackwell
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 1294k | 654.1-779.5 t/s | ~14.6-17.4 (slow) |
| Q8 | yes | 1310k | 1308.2-1559 t/s | ~29.2-34.8 (slow) |
| Q4 | yes | 1316k | 2336-2784 t/s | ~52.1-62.1 (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 PRO 6000 Blackwell run Pythia-1b?▶
Yes. At Q4 it generates ~2336-2784 tok/s and fits up to 1316k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~52.1-62.1 tok/s.
How much context fits?▶
At Q4, up to about 1316k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.