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// RUN — FITS
Can the NVIDIA RTX 6000 Ada 48GB run Derm Foundational Model?
Yes — here's how fast and up to what context, with real measured numbers.
Derm Foundational Model on the NVIDIA RTX 6000 Ada 48GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 623k | 377.6-450 t/s | ~15.7-18.8 (slow) |
| Q8 | yes | 637k | 755.2-900 t/s | ~31.5-37.5 (slow) |
| Q4 | yes | 643k | 1348.5-1607.1 t/s | ~56.2-67 (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 RTX 6000 Ada 48GB run Derm Foundational Model?▶
Yes. At Q4 it generates ~1348.5-1607.1 tok/s and fits up to 643k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~56.2-67 tok/s.
How much context fits?▶
At Q4, up to about 643k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.