AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of GSAI-ML/LLaDA-8B-Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Instinct MI300X can run GSAI-ML/LLaDA-8B-Instruct with Q4 quantization. At approximately 692 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 188GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 192GB | 691.77 tok/s | ✅ Fits comfortably |
| Q8 | 9GB | 192GB | 521.02 tok/s | ✅ Fits comfortably |
| FP16 | 17GB | 192GB | 304.75 tok/s | ✅ Fits comfortably |