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// RUN — FITS
Can the NVIDIA GeForce RTX 3090 Ti run DataGemma?
Yes — here's how fast and up to what context, with real measured numbers.
DataGemma on the NVIDIA GeForce RTX 3090 Ti
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | no | — | — | — |
| Q8 | no | — | — | — |
| Q4 | yes | 20k | 48.3-57.6 t/s | ~1.9-2.3 (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 GeForce RTX 3090 Ti run DataGemma?▶
Yes. At Q4 it generates ~48.3-57.6 tok/s and fits up to 20k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~1.9-2.3 tok/s.
How much context fits?▶
At Q4, up to about 20k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.