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// RUN — FITS
Can the NVIDIA B200 run Ankh_base?
Yes — here's how fast and up to what context, with real measured numbers.
Ankh_base on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2650k | 3945.9-4702.7 t/s | ~19.7-23.5 (slow) |
| Q8 | yes | 2661k | 7891.9-9405.4 t/s | ~39.5-47 (slow) |
| Q4 | yes | 2666k | 14092.7-16795.4 t/s | ~70.5-84 (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 B200 run Ankh_base?▶
Yes. At Q4 it generates ~14092.7-16795.4 tok/s and fits up to 2666k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~70.5-84 tok/s.
How much context fits?▶
At Q4, up to about 2666k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.