NVIDIA A100 40GB PCIe meets the minimum VRAM requirement for Q4 inference of google/embeddinggemma-300m. Review the quantization breakdown below to see how higher precision settings impact VRAM and throughput.
NVIDIA A100 40GB PCIe can run google/embeddinggemma-300m with Q4 quantization. At approximately 291 tokens/second, you can expect Excellent speed - conversational response times under 1 second.
You have 39GB headroom, which is sufficient for system overhead and smooth operation.
| Quantization | VRAM needed | VRAM available | Estimated speed | Verdict |
|---|---|---|---|---|
| Q4 | 1GB | 40GB | 290.89 tok/s | ✅ Fits comfortably |
| Q8 | 1GB | 40GB | 190.67 tok/s | ✅ Fits comfortably |
| FP16 | 1GB | 40GB | 103.48 tok/s | ✅ Fits comfortably |