NVIDIA and LG Group collaborate to deploy an integrated AI factory platform spanning robotics, autonomous driving, data center infrastructure, and sovereign AI models.

NVIDIA & Doosan Group establish a strategic engineering initiative to deploy physical intelligence models across production automation networks and the automotive data ecosystem.

This open omnimodel combines vision reasoning and action prediction to slash training cycles from months to days for robots and autonomous vehicles.

NVIDIA introduces the Ising model family to improve quantum error correction and calibration, enabling more reliable hybrid quantum-classical systems.

NVIDIA, Microsoft Azure and Nebius collaborate to deploy a scalable data factory framework for robotics, vision AI agents and autonomous vehicle development.

Meta deploys Grace and Vera CPUs, Blackwell and Rubin GPUs, Spectrum-X networking and confidential computing to scale AI training and inference across global data centers.

Siemens and NVIDIA expand a long-term collaboration to integrate AI, simulation, and automation into a unified software-defined foundation for industrial engineering, production, and operations.

JUPITER, powered by the NVIDIA Grace Hopper platform and Eviden’s BullSequana XH3000, delivers 1 quintillion FP64 operations per second and up to 90 exaflops of AI performance.

The NVIDIA Blackwell-powered robotics computer delivers 2,070 FP4 teraflops to tackle complex applications, including agentic AI and high-speed sensor processing, for robotic developers.

Spectrum-XGS Ethernet nearly doubles the performance of the NVIDIA Collective Communications Library, accelerating communication and delivering predictable performance across distributed AI clusters.