Deepseek AI Deepseek Coder V2 Instruct 0724 speed on NVIDIA A100 80GB SXM4 and quantization-level VRAM fit.
NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of Deepseek AI Deepseek Coder V2 Instruct 0724. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 80GB SXM4 can run Deepseek AI Deepseek Coder V2 Instruct 0724 with Q4 quantization. At approximately 73 tokens/second, you can expect Good speed - acceptable for interactive use.
You have 44GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 36GB | 80GB | 73.02 tok/s | ✅ Fits comfortably |
| Q8 | 72GB | 80GB | 51.11 tok/s | ✅ Fits comfortably |
| FP16 | 144GB | 80GB | 27.75 tok/s | ❌ Not recommended |
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Browse best GPU guides →Compare complete systems if you want ready-to-run hardware.
Compare prebuilt systems →NVIDIA A100 80GB SXM4 can run Deepseek AI Deepseek Coder V2 Instruct 0724 at Q4 with an estimated 73 tok/s.
Q4 inference is estimated to need about 36GB VRAM on this page, while NVIDIA A100 80GB SXM4 has 80GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.