Meta Llama Meta Llama 3 8B Instruct speed on NVIDIA A100 40GB PCIe and quantization-level VRAM fit.
NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of Meta Llama Meta Llama 3 8B Instruct. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 40GB PCIe can run Meta Llama Meta Llama 3 8B Instruct with Q4 quantization. At approximately 227 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 36GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 4GB | 40GB | 227.24 tok/s | ✅ Fits comfortably |
| Q8 | 8GB | 40GB | 159.07 tok/s | ✅ Fits comfortably |
| FP16 | 16GB | 40GB | 86.35 tok/s | ✅ Fits comfortably |
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NVIDIA A100 40GB PCIe can run Meta Llama Meta Llama 3 8B Instruct at Q4 with an estimated 227 tok/s.
Q4 inference is estimated to need about 4GB VRAM on this page, while NVIDIA A100 40GB PCIe has 40GB available.
If you need more speed or context headroom, compare alternative GPUs below and check higher-tier VRAM options.