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Can the NVIDIA B200 run ALBERT-xxlarge?
Yes — here's how fast and up to what context, with real measured numbers.
ALBERT-xxlarge on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2665k | 12425.5-14808.5 t/s | ~62.1-74 (slow) |
| Q8 | yes | 2669k | 24851.1-29617 t/s | ~124.3-148.1 (slow) |
| Q4 | yes | 2670k | 44376.9-52887.5 t/s | ~221.9-264.4 (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 B200 run ALBERT-xxlarge?▶
Yes. At Q4 it generates ~44376.9-52887.5 tok/s and fits up to 2670k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~221.9-264.4 tok/s.
How much context fits?▶
At Q4, up to about 2670k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.