NVIDIA announced breakthroughs in agent training infrastructure for robotics, autonomous vehicles, and vision-based systems at CVPR, emphasizing scalable simulation and foundation-model fine-tuning. The research underscores NVIDIA's strategy to expand accelerator TAM beyond LLM inference into embodied AI workloads requiring multi-modal perception and real-time edge deployment.