New: connect Claude & other AIs to GenAIList over MCP — research the catalog and contribute to the shared knowledge base. Learn how →
Can the NVIDIA B200 run Prithvi-100M?
Yes — here's how fast and up to what context, with real measured numbers.
Prithvi-100M on the NVIDIA B200
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 2669k | 29200-34800 t/s | ~146-174 (slow) |
| Q8 | yes | 2671k | 58400-69600 t/s | ~292-348 (slow) |
| Q4 | yes | 2672k | 104285.7-124285.7 t/s | ~521.4-621.4 (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 Prithvi-100M?▶
Yes. At Q4 it generates ~104285.7-124285.7 tok/s and fits up to 2672k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~521.4-621.4 tok/s.
How much context fits?▶
At Q4, up to about 2672k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.