On the A100, Llama 3.2 Vision-Instruct achieves moderate inference speeds, leveraging FP16 and TensorRT optimizations. However, the H100 significantly boosts performance with FP8 support, Transformer Engine, and higher memory bandwidth, enabling faster multi-modal processing. For real-time deployment, H100 with quantization (e.g., INT4, INT8) and tensor parallelism offers the best latency and throughput