Deepseek AI Deepseek R1 speed on AMD Instinct MI300X and quantization-level VRAM fit.
AMD Instinct MI300X meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek R1. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
AMD Instinct MI300X can run Deepseek AI Deepseek R1 with Q4 quantization. At approximately 954 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 | 954.07 tok/s | ✅ Fits comfortably |
| Q8 | 7GB | 192GB | 667.85 tok/s | ✅ Fits comfortably |
| FP16 | 14GB | 192GB | 362.55 tok/s | ✅ Fits comfortably |
Check current pricing links for AMD Instinct MI300X and similar cards.
Open AMD Instinct MI300X 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.
AMD Instinct MI300X can run Deepseek AI Deepseek R1 at Q4 with an estimated 954 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while AMD Instinct MI300X has 192GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.