Openai Gpt Oss 20B speed on NVIDIA L40S and quantization-level VRAM fit.
NVIDIA L40S meets the minimum VRAM requirement for Q4 inference of Openai Gpt Oss 20B. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA L40S can run Openai Gpt Oss 20B with Q4 quantization. At approximately 91 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 38GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 10GB | 48GB | 91.10 tok/s | ✅ Fits comfortably |
| Q8 | 20GB | 48GB | 63.77 tok/s | ✅ Fits comfortably |
| FP16 | 40GB | 48GB | 34.62 tok/s | ✅ Fits comfortably |
Check current pricing links for NVIDIA L40S and similar cards.
Open NVIDIA L40S 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 →Rent cloud GPUs by the hour — no upfront hardware cost.
NVIDIA L40S can run Openai Gpt Oss 20B at Q4 with an estimated 91 tok/s.
Q4 inference is estimated to need about 10GB VRAM on this page, while NVIDIA L40S has 48GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.