NVIDIA 与 LG 集团正合作建设一座 AI 工厂，以加速 LG 集团下一阶段由人工智能驱动的业务发展，涵盖机器人、自动驾驶、数据中心技术及 GPU 云服务等领域。该 AI 工厂将为 LG 集团提供加速计算基础设施，用于在其核心业务中训练、仿真、验证和部署基于人工智能的应用。此次合作整合了[…]
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 […]
英伟达（NVIDIA）与LG集团正携手共建一座人工智能工厂（AI factory），以加速LG集团下一阶段由人工智能驱动的业务发展，涵盖机器人、自动驾驶、数据中心技术及GPU云服务等领域。该人工智能工厂将为LG集团提供加速计算基础设施，支持其核心业务中基于人工智能的应用程序的训练、仿真、验证与部署。LG集团在全球制造基地积累的生产技术数据与专业知识，结合英伟达的人工智能基础设施与数字孪生技术，将共同提升LG在人工智能驱动制造领域的竞争力。双方将合作构建一个自主化制造生态系统，实现从原材料采购、生产、物流到客户交付的全流程实时数据与人工智能连接，并将其确立为新一代全球智能工厂标准。 LG电子正在开发面向家庭场景的机器人产品（如CLoiD），以协助完成各类室内家务任务，提升日常便利性并改善生活质量。通过将英伟达Isaac Sim与Isaac Lab开源机器人框架整合至其开发工作流，LG可在物理精度高度还原的虚拟环境中对这些家用协作机器人（cobot）进行仿真、训练与验证，再投入实际部署。 双方还将拓展在下一代人工智能工厂领域的合作，以支撑人工智能时代的发展需求。除LG电子已与英伟达就人工智能工厂热管理冷却解决方案（包括冷却分配单元CDU与冷板）达成认证合作外，LG电子还正通过预制模块化设计技术方面的技术协作，进一步提升其人工智能工厂能力。该举措与英伟达DSX人工智能工厂平台相契合，可实现可扩展、高性能超级计算基础设施的快速部署。相关技术包括冷却分配单元（CDU）、冷板以及预制模块化设计能力，旨在应对下一代液冷人工智能工厂在电力、散热与部署方面的需求。 LG CNS计划基于英伟达DSX平台，构建具备可扩展性、高能效与高性能、并由英伟达GPU驱动的人工智能工厂。 LG Uplus计划建设一座大规模人工智能数据中心，以容纳最新一代英伟达GPU。 LG能源解决方案（LG Energy Solution）计划与英伟达合作开发新兴的800伏直流电（800V-DC）数据中心能源解决方案，并遵循英伟达电池储能系统（BESS）自认证指南，以匹配下一代GPU的发展节奏。 在移动出行领域，LG电子正与英伟达合作，使其高级驾驶辅助系统（ADAS）与车载人工智能系统与英伟达DRIVE平台保持协同。该合作聚焦于传感器、计算与软件架构与英伟达DRIVE Hyperion架构的对齐，以支持LG电子在自动驾驶、ADAS及软件定义汽车（SDV）方面的技术路线图。 LG伊诺特（LG Innotek）正凭借其世界一流的传感、连接与照明解决方案核心产品组合，迅速巩固其在自动驾驶市场的领导地位。LG伊诺特计划与英伟达合作，联合开发专为英伟达架构定制的下一代元器件。 英伟达与LG人工智能研究院（LG AI Research）正协同推进EXAONE项目——韩国领先的自主可控人工智能大模型之一，亦是一个面向开发者、企业与研究人员开放的模型家族。
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 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. The two companies will collaborate to build an autonomous manufacturing ecosystem in which the entire process — from raw material procurement to production, logistics and customer delivery — is connected in real time through data and AI, and establish it as a new global smart factory standard. LG Electronics is developing home-based robots like CLoiD to help with a wide range of indoor household tasks, enhancing everyday convenience and improving quality of life. 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 virtual environments before deployment. The two companies will also expand cooperation in the field of next-generation AI factories, which will support the AI era. Beyond its certification cooperation with NVIDIA on cooling solutions for AI factory thermal management — including cooling distribution units (CDUs) and cold plates — LG Electronics is further elevating its AI factory capabilities through technical collaboration on prefabricated modular design technologies. This initiative aligns with the NVIDIA DSX AI factory platform, enabling the rapid deployment of scalable, high-performance supercomputing infrastructure. These technologies include CDUs, cold plates and prefab modular design capabilities to help address the power, thermal and deployment requirements of next-generation liquid-cooled AI factories. LG CNS plans to build scalable, power-efficient, high-performance AI factories powered by NVIDIA GPUs based on NVIDIA DSX. LG Uplus plans to build a large-scale AI data center capable of accommodating the latest NVIDIA GPUs. 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 with next-generation GPUs. In mobility, LG Electronics works with NVIDIA to align its advanced driver-assistance systems (ADAS) and in-vehicle AI systems with the NVIDIA DRIVE platform. The collaboration will focus on aligning sensor, compute and software architectures with the NVIDIA DRIVE Hyperion architecture, supporting LG Electronics’ roadmap for autonomous driving, ADAS and software-defined vehicles. LG Innotek is rapidly cementing its leadership in the autonomous driving market, using its core portfolio of world-class sensing, connectivity and lighting solutions. LG Innotek plans to collaborate with NVIDIA on next-generation components engineered specifically for NVIDIA architecture. NVIDIA and LG AI Research are collaborating to advance EXAONE, one of Korea’s leading sovereign AI models and an open model family available to developers, enterprises and researchers.