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// RUN — FITS
Can the NVIDIA RTX 6000 Ada 48GB run ViT-G (model soup)?
Yes — here's how fast and up to what context, with real measured numbers.
ViT-G (model soup) on the NVIDIA RTX 6000 Ada 48GB
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 595k | 190.1-226.6 t/s | ~7.9-9.4 (slow) |
| Q8 | yes | 623k | 380.2-453.2 t/s | ~15.8-18.9 (slow) |
| Q4 | yes | 635k | 679-809.2 t/s | ~28.3-33.7 (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 RTX 6000 Ada 48GB run ViT-G (model soup)?▶
Yes. At Q4 it generates ~679-809.2 tok/s and fits up to 635k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~28.3-33.7 tok/s.
How much context fits?▶
At Q4, up to about 635k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.