Per-MW pricing, regional variance, and cost drivers for owners scoping hyperscale & AI builds.
Salary benchmarks across the 14 mission-critical disciplines.
NVIDIA and LG Group are joining forces to establish a cutting-edge AI factory designed to accelerate advancements in AI-driven technologies across multiple industries. The collaboration aims to revolutionize fields such as robotics, autonomous driving, data center solutions, and GPU cloud services by leveraging NVIDIA's AI platform and LG's industry expertise.
The AI factory, a joint initiative between the two companies, will serve as an advanced infrastructure for developing and deploying AI applications. This facility will integrate NVIDIA’s complete AI factory platform with LG Group’s leadership in consumer electronics, robotics, and mobility technologies. The collaboration aims to unify critical workflows, including AI model development, robot simulation, edge deployment, and the creation of factory-scale digital twins.
By combining LG’s extensive production knowledge with NVIDIA’s digital twin and AI infrastructure, the companies plan to create an autonomous manufacturing ecosystem. This system would connect processes such as raw material procurement, production, logistics, and delivery in real-time, setting a new global standard for smart factories.
Hiring for a mission-critical build? Get a pre-qualified shortlist.
iRecruit.co specializes in construction recruiting for data center, energy, and advanced-manufacturing projects — project managers, MEP coordinators, commissioning leads, and more. We pre-screen every candidate so only qualified professionals reach your hiring team.
Get Started
Success-based pricing · 90-day replacement credit · No upfront fee on single roles
LG Electronics is focusing on home robots, such as CLoiD, that assist with household tasks and improve everyday convenience. The company plans to integrate NVIDIA Isaac Sim and NVIDIA Isaac Lab robotics frameworks into its development process to simulate and validate these robots in virtual environments before real-world deployment.
LG is also exploring the use of NVIDIA Isaac GR00T, an advanced reasoning vision action language model, to enhance its robots’ capabilities. This technology will enable LG’s robots to perform complex tasks with humanlike reasoning. Additionally, LG and NVIDIA intend to develop reference robots, placing LG’s robotics efforts within the NVIDIA Isaac GR00T ecosystem.
To address the challenge of training data for robotics, LG Electronics is creating a physical AI data factory. This facility will generate high-quality training data for robotics and industrial AI projects worldwide, utilizing NVIDIA Cosmos world foundation models to produce synthetic data.
LG Innotek will contribute state-of-the-art robotics components, including sensing solutions, optimized for NVIDIA’s GPU architecture and development environments. Furthermore, LG CNS plans to accelerate the adoption of AI robots at manufacturing and logistics sites by integrating NVIDIA robotics technologies into its PhysicalWorks industrial robot platform.
NVIDIA and LG are collaborating to expand their efforts into next-generation AI factories. By aligning with NVIDIA's DSX AI factory platform, the companies aim to enable scalable, high-performance supercomputing infrastructure. This includes innovations in cooling systems, such as cooling distribution units (CDUs) and cold plates, as well as prefabricated modular design technologies.
In a move toward efficient energy use, LG Energy Solution is working with NVIDIA on 800-volt direct-current energy solutions for data centers, in accordance with NVIDIA’s BESS Self-Qualification guidelines.
LG Uplus, a telecommunications provider under LG Corp., plans to establish scalable AI data centers equipped with the latest NVIDIA GPUs. LG CNS will also contribute to building high-performance AI factories powered by NVIDIA’s GPU technology.
LG Electronics is aligning its advanced driver-assistance systems (ADAS) and in-vehicle AI platforms with NVIDIA’s DRIVE architecture to enhance autonomous driving capabilities. The company will use NVIDIA DRIVE AGX compute technology in its future mobility solutions, which include AI-powered cockpits and edge AI processing systems. This partnership positions LG to strengthen its portfolio in automotive electronics and accelerate the development of AI-driven mobility solutions for global manufacturers.
LG Innotek is also advancing its position in the autonomous driving sector by collaborating with NVIDIA on next-generation sensing, connectivity, and lighting solutions tailored for NVIDIA’s architecture.
LG AI Research, in collaboration with NVIDIA, is advancing its sovereign AI model, EXAONE. Using NVIDIA’s Blackwell GPUs, NeMo framework, and TensorRT-LLM software, the EXAONE model is being developed to drive enterprise AI transformation across LG's businesses. ChatEXAONE, LG Group’s enterprise chatbot platform based on EXAONE, further showcases the potential of this technology to enhance operations and productivity.
The partnership between NVIDIA and LG Group represents a transformative leap in integrating high-performance AI with real-world applications, from autonomous manufacturing to mobility and robotics. By combining their expertise, both companies are setting new benchmarks for innovation in the AI era.
Read the source
