Deepseek AI Deepseek V2 5 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 V2 5. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 80GB SXM4 can run Deepseek AI Deepseek V2 5 with Q4 quantization. At approximately 438 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 79GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 80GB | 438.10 tok/s | ✅ Fits comfortably |
| Q8 | 2GB | 80GB | 306.67 tok/s | ✅ Fits comfortably |
| FP16 | 4GB | 80GB | 166.48 tok/s | ✅ Fits comfortably |
Check current pricing links for NVIDIA A100 80GB SXM4 and similar cards.
Open NVIDIA A100 80GB SXM4 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.
NVIDIA A100 80GB SXM4 can run Deepseek AI Deepseek V2 5 at Q4 with an estimated 438 tok/s.
Q4 inference is estimated to need about 1GB 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.