Google Gemma 3 1B It speed on RTX 4080 Super and quantization-level VRAM fit.
RTX 4080 Super meets the minimum VRAM requirement for Q4 inference of Google Gemma 3 1B It. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
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Google gemma 3 1b it speed on rtx 4080 super
Google Gemma 3 1B It runs on RTX 4080 Super at about 152 tok/s at Q4 in our current compatibility dataset.
Based on 534 impressions tracked in Search Console.
RTX 4080 Super can run Google Gemma 3 1B It with Q4 quantization. At approximately 152 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 15GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 16GB | 152.04 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 16GB | 106.42 tok/s | ✅ Fits comfortably |
| FP16 | 2GB | 16GB | 57.77 tok/s | ✅ Fits comfortably |
Check current pricing links for RTX 4080 Super and similar cards.
Open RTX 4080 Super buy links →Use workload-focused recommendations before committing to a purchase.
Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →RTX 4080 Super can run Google Gemma 3 1B It at Q4 with an estimated 152 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while RTX 4080 Super has 16GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.