Openai Gpt Oss Safeguard 20B speed on RTX 3090 and quantization-level VRAM fit.
RTX 3090 meets the minimum VRAM requirement for Q4 inference of Openai Gpt Oss Safeguard 20B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
RTX 3090 can run Openai Gpt Oss Safeguard 20B with Q4 quantization. At approximately 85 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 13GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 11GB | 24GB | 84.80 tok/s | ✅ Fits comfortably |
| Q8 | 22GB | 24GB | 59.36 tok/s | ✅ Fits comfortably |
| FP16 | 44GB | 24GB | 32.22 tok/s | ❌ Not recommended |
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RTX 3090 can run Openai Gpt Oss Safeguard 20B at Q4 with an estimated 85 tok/s.
Q4 inference is estimated to need about 11GB VRAM on this page, while RTX 3090 has 24GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.