NVIDIA A100 80GB SXM4 meets the minimum VRAM requirement for Q4 inference of bigcode/starcoder2-3b. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 80GB SXM4 can run bigcode/starcoder2-3b with Q4 quantization. At approximately 324 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 78GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 2GB | 80GB | 324.31 tok/s | ✅ Fits comfortably |
| Q8 | 3GB | 80GB | 263.13 tok/s | ✅ Fits comfortably |
| FP16 | 6GB | 80GB | 132.27 tok/s | ✅ Fits comfortably |