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// RUN — FITS
Can the NVIDIA B200 run CodeT5-large?
Yes — here's how fast and up to what context, with real measured numbers.
CodeT5-large on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2649k | 3792.2-4519.5 t/s | ~19-22.6 (slow) |
| Q8 | yes | 2661k | 7584.4-9039 t/s | ~37.9-45.2 (slow) |
| Q4 | yes | 2666k | 13543.6-16141 t/s | ~67.7-80.7 (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 CodeT5-large?▶
Yes. At Q4 it generates ~13543.6-16141 tok/s and fits up to 2666k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~67.7-80.7 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.