AI Factories, Physical AI, and Advances in Models, Agents, and Infrastructure That Shaped 2025

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Four-image grid illustrating AI agents, robotics, data center infrastructure, and simulated environments.

In 2025, NVIDIA advanced AI infrastructure with innovations like the 800V DC power architecture for data centers, enhancing efficiency, scalability, and reliability for future AI factories.Collaborative efforts led to new technologies including the Newton open-source physics engine for robotics simulation, RTX Kit for AI-enhanced graphics on GeForce RTX 50 GPUs, and low-precision inference capabilities with NVFP4 on Blackwell Tensor Cores.New platforms and softwaresuch as DeepSeek-R1 for automated GPU kernel generation, the high-throughput NVIDIA Dynamo inference framework, and Jetson Thor for generalist roboticssignificantly improved performance, flexibility, and scalability across generative AI and robotics workloads.

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2025 was another milestone year for developers and researchers working with NVIDIA technologies. Progress in data center power and compute design, AI infrastructure, model optimization, open models, AI agents, and physical AI redefined how intelligent systems are trained, deployed, and moved into the real world. These posts highlight the innovations that resonated most with our readers.

Render of the 800V DC power architecture.

An image representing GPU attention kernels.

An image showing use case such as robotics and healthcare for the NVIDIA Jetson platforms.

Looking ahead

Stay tuned for more transformative innovations in 2026.

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