Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic speed on AMD Instinct MI250X and quantization-level VRAM fit.
AMD Instinct MI250X meets the minimum VRAM requirement for Q4 inference of Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Instinct MI250X can run Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic with Q4 quantization. At approximately 96 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 83GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 45GB | 128GB | 95.51 tok/s | ✅ Fits comfortably |
| Q8 | 90GB | 128GB | 66.86 tok/s | ✅ Fits comfortably |
| FP16 | 180GB | 128GB | 36.29 tok/s | ❌ Not recommended |
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AMD Instinct MI250X can run Redhatai Llama 3.2 90B Vision Instruct FP8 Dynamic at Q4 with an estimated 96 tok/s.
Q4 inference is estimated to need about 45GB VRAM on this page, while AMD Instinct MI250X has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.