NVIDIA A6000 meets the minimum VRAM requirement for Q4 inference of RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A6000 can run RedHatAI/Llama-3.3-70B-Instruct-FP8-dynamic with Q4 quantization. At approximately 43 tokens/second, you can expect Moderate speed - useful for batch processing.
You have 14GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 34GB | 48GB | 43.02 tok/s | ✅ Fits comfortably |
| Q8 | 68GB | 48GB | 32.13 tok/s | ❌ Not recommended |
| FP16 | 137GB | 48GB | 16.13 tok/s | ❌ Not recommended |