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// RUN — FITS
Can the NVIDIA GeForce RTX 3090 run Gemma 3 QAT 1B?
Yes — here's how fast and up to what context, with real measured numbers.
Gemma 3 QAT 1B on the NVIDIA GeForce RTX 3090
| Quant | Fits? | Max context | Speed | Beyond context |
|---|---|---|---|---|
| FP16 | yes | 284k | 341.6-407.2 t/s | ~14.6-17.4 (slow) |
| Q8 | yes | 299k | 683.3-814.3 t/s | ~29.2-34.8 (slow) |
| Q4 | yes | 305k | 1220.1-1454.1 t/s | ~52.1-62.1 (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 run Gemma 3 QAT 1B?▶
Yes. At Q4 it generates ~1220.1-1454.1 tok/s and fits up to 305k context; beyond that it spills to system RAM offload (depends on your system RAM) and slows to ~52.1-62.1 tok/s.
How much context fits?▶
At Q4, up to about 305k tokens stay in fast memory; longer context spills to system RAM offload (depends on your system RAM) and throughput collapses.