Agentic AI · Blackwell · Nvidia · NVIDIA Blog
LG AI Research used NVIDIA Blackwell GPUs, NVIDIA NeMo framework and NVIDIA Nemotron open datasets to support EXAONE model
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LG Group is exploring broader adoption of EXAONE and agentic AI technologies across its businesses through platforms such as ChatEXAONE, LG Group’s EXAONE-based enterprise chatbot service.
Key facts
- LG Energy Solution plans to collaborate with NVIDIA on emerging 800 volt-direct-current data center energy solutions, in alignment with NVIDIA’s BESS Self-Qualification guidelines, to keep pace
- By integrating the NVIDIA Isaac Sim and NVIDIA Isaac Lab open robotics frameworks into their development workflows, LG can simulate, train and validate these home cobots in physically accurate
- The AI factory will provide LG Group with accelerated computing infrastructure to train, simulate, validate and deploy AI-based applications across its key businesses
- NVIDIA and LG Electronics also plan to jointly develop reference robots, positioning LG’s robots as part of the NVIDIA Isaac GR00T ecosystem
Summary
NVIDIA and LG Group are building an AI factory to accelerate LG Group’s next wave of AI-driven businesses, spanning robotics, autonomous driving, data center technologies and GPU cloud services. The AI factory will provide LG Group with accelerated computing infrastructure to train, simulate, validate and deploy AI-based applications across its key businesses. The collaboration brings together NVIDIA’s full-stack, end-to-end AI factory platform with LG Group’s global leadership in consumer electronics, robotics, mobility components, smart spaces and data center technologies. Together, the companies are connecting AI model development, physical AI data generation, robot simulation and training, edge deployment and factory-scale digital twins into a unified workflow for building physical AI systems. The combination of LG’s production technology data and know-how from global manufacturing sites with NVIDIA’s AI infrastructure and digital twin technologies will help enhance AI-driven manufacturing AI competitiveness.