NVIDIA AI Updates: June 8, 2026

1. NVIDIA and LG Group Partner to Build AI Factory Spanning Robotics, Autonomous Vehicles, and Cloud

NVIDIA and LG Group announced a collaboration to build an AI factory integrating NVIDIA’s full-stack platform across LG’s home robotics (CLoiD), autonomous vehicle, and data center businesses. LG will use NVIDIA Isaac Sim and Isaac GR00T for robot training, NVIDIA Cosmos for synthetic data generation, NVIDIA DRIVE Hyperion for autonomous vehicles, and NVIDIA Blackwell GPUs to train its EXAONE sovereign AI models. The partnership establishes a reference architecture for enterprise-scale physical AI deployment across manufacturing and consumer electronics. Source

2. NVIDIA and Doosan Group Extend Physical AI Across Industrial Robotics and Power Infrastructure

NVIDIA and Doosan Group announced a collaboration spanning four Doosan divisions, covering industrial robotics, construction equipment, power generation, and advanced materials. Doosan Robotics is integrating NVIDIA Isaac Sim, Isaac Lab, Cosmos, and Jetson Thor into an “Agentic Robot OS” for autonomous depalletizing, sanding, and humanoid form factors. Doosan Enerbility will supply gas turbines, small modular reactors, and hydrogen fuel cells to power AI data centers, while Doosan Electro-Materials will provide copper clad laminate for high-performance networking hardware. Source

3. SK Telecom to Build Gigawatt-Scale AI Cloud in Korea Using NVIDIA DSX

SK Telecom and NVIDIA announced plans to construct a gigawatt-scale AI cloud in Korea based on the NVIDIA DSX platform, with the first facility targeted for 2027. SK Telecom will operate as an NVIDIA Cloud Partner, using DSX MaxLPS software to optimize token throughput per megawatt for training, inference, and agentic workloads. The partnership also includes joint research on next-generation AI factory architectures. Source

4. NVIDIA and SK hynix Announce Multiyear Partnership to Co-Develop AI Memory

NVIDIA and SK hynix announced a multiyear agreement to co-develop memory for NVIDIA’s Vera Rubin AI supercomputers, Vera CPUs, RTX Spark PCs, and Jetson Thor robotics platforms. The partnership also covers using NVIDIA CUDA-X and PhysicsNeMo to accelerate semiconductor design simulations, and deploying NVIDIA Omniverse and cuOpt to develop digital twins for autonomous fab operations. The collaboration targets memory supply chain constraints that affect AI factory scaling globally. Source

5. NAVER Expands AI Infrastructure to Gigawatt Scale Using NVIDIA DSX

NAVER announced an expansion of its AI factory infrastructure using the NVIDIA DSX platform, starting with 55 megawatts at its GAK Sejong data center. The build-out will support training and inference for NAVER’s HyperCLOVA X models, fine-tuned on NVIDIA Nemotron, as well as a Seoul World Model trained on proprietary urban street-view data. NAVER also plans to launch an AI Agent Platform in Korea in the second half of 2026, targeting enterprises requiring data residency compliance. Source