Deepseek AI Deepseek Math V2 speed on Apple M4 Max and quantization-level VRAM fit.
Apple M4 Max meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Math V2. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
Apple M4 Max can run Deepseek AI Deepseek Math V2 with Q4 quantization. At approximately 110 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 127GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 128GB | 109.85 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 128GB | 76.90 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 128GB | 41.74 tok/s | ✅ Fits comfortably |
Check current pricing links for Apple M4 Max and similar cards.
Open Apple M4 Max 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 →Apple M4 Max can run Deepseek AI Deepseek Math V2 at Q4 with an estimated 110 tok/s.
Q4 inference is estimated to need about 1GB VRAM on this page, while Apple M4 Max has 128GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.