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Can the NVIDIA B200 run SRU++ Large?
Yes — here's how fast and up to what context, with real measured numbers.
SRU++ Large on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2665k | 12478.6-14871.8 t/s | ~62.4-74.4 (slow) |
| Q8 | yes | 2669k | 24957.3-29743.6 t/s | ~124.8-148.7 (slow) |
| Q4 | yes | 2670k | 44566.5-53113.6 t/s | ~222.8-265.6 (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 SRU++ Large?▶
Yes. At Q4 it generates ~44566.5-53113.6 tok/s and fits up to 2670k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~222.8-265.6 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.