Samsung Electronics and NVIDIA announced a major partnership this week to build a new AI Megafactory. This initiative aims to transform global intelligent manufacturing by embedding artificial intelligence across Samsung's entire production lines. The new factory will be powered by over 50,000 NVIDIA graphics processing units, or GPUs, significantly accelerating the development and production of next-generation semiconductors, mobile devices, and robotics. This collaboration builds on a strong alliance between the two technology giants that spans more than 25 years.^{[1][2][3][4][5][6][7][8][9][10]} ### AI Redefines Manufacturing Processes The new AI Megafactory will integrate AI into every phase of Samsung's manufacturing process. This includes chip design, process engineering, equipment operations, and quality control.^[3][4][5][6] The goal is to create a single, intelligent network where AI continuously analyzes, predicts, and optimizes production environments in real time.^[3][4][5][6] This approach moves beyond traditional automation. It establishes an intelligent manufacturing platform that interprets vast data generated across chip design, production, and equipment operations.^[3][4][5][6] NVIDIA founder and CEO, Jensen Huang, emphasized the significance of this shift. "We are at the dawn of the AI industrial revolution — a new era that will redefine how the world designs, builds and manufactures," Huang said. "Samsung is forging its AI foundation with NVIDIA to lead the future of intelligent and autonomous manufacturing." T^[2][7]his partnership aims to set a global benchmark for AI-driven semiconductor manufacturing at scale. ^[2][7]### Powering Innovation with Advanced NVIDIA Technologies The core of Samsung's AI Megafactory will be its massive deployment of over 50,000 NVIDIA GPUs. T^{[1][2][3][4][5][6][7][8][9]}hese powerful processors provide the computing muscle needed for complex AI tasks in manufacturing. Samsung is already seeing significant benefits from NVIDIA's technology. By using NVIDIA's cuLitho software and CUDA-X libraries for optical proximity correction (OPC) in chipmaking, Samsung has achieved a 20-times performance gain in computational lithography. C^{[1][2][3][4][5][6][10]}omputational lithography is a critical step that ensures circuit patterns are accurately etched onto silicon wafers. This speedup dramatically shortens development cycles for new chips. ^[6]Samsung is also using NVIDIA Omniverse, a platform for building physically accurate simulation environments. W^[2][7][10]ith Omniverse, Samsung is creating "digital twins" of its entire fabrication plants, or fabs. These virtual models allow engineers to simulate equipment operations and potential upgrades before applying them to physical systems. T^{[1][2][3][4][11][7][12][9][10]}his capability helps with predictive maintenance, identifying anomalies, optimizing production, and making real-time decisions. S^[2][7]amsung works with electronic design automation (EDA) partners like Synopsys, Cadence, and Siemens to innovate chip design. T^[2][7][10]hey are developing next-generation GPU-accelerated EDA tools and design technologies. ^[2]### Broader Impact and Future Collaborations The impact of this AI Megafactory will extend beyond a single location. Samsung plans to apply this advanced AI factory infrastructure across its global manufacturing hubs. This includes the new chip fabrication plant currently under construction in Taylor, Texas. T^[3][4][6]his expansion will bring greater intelligence and agility to Samsung's worldwide semiconductor operations. ^[3][6]The collaboration between Samsung and NVIDIA is not new. Their partnership dates back more than 25 years, beginning with Samsung's DRAM powering NVIDIA's early graphics cards. T^{[1][2][3][4][5][8][10]}he relationship has grown to include foundry services and advanced memory technologies. A^{[1][2][3][4][5][8][10]} key area of current discussion is Samsung's next-generation high-bandwidth memory (HBM4) chips. Samsung is in "close discussion" to supply these HBM4 chips to NVIDIA. S^{[1][2][3][4][5][13]}amsung plans to market the new HBM4 chip next year. T^[1]hese advanced memory solutions are crucial for accelerating future AI applications and forming a critical foundation for AI-driven manufacturing infrastructure. ^[3][5]The partnership also reaches into robotics and mobile networks. Samsung is leveraging NVIDIA's Jetson Thor robotic platform to enhance real-time AI reasoning, task execution, and safety controls in intelligent robots. F^[3][4][8]or manufacturing automation and humanoid robotics, Samsung is deploying NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs. A^[3][10]dditionally, Samsung and NVIDIA are collaborating on AI-RAN development. This technology integrates AI into mobile networks to support devices like drones and industrial robots, allowing them to perform real-time AI inference and decision-making at the network edge. S^{[3][4][5][11][8][9]}amsung already develops proprietary AI models that power more than 400 million of its devices. T^[3][4][5]hese models are now being integrated into the company's internal manufacturing systems. ^[3][4][5]This new AI Megafactory represents a significant step for Samsung and NVIDIA. It signals a future where artificial intelligence drives the efficiency, innovation, and scale of global manufacturing across multiple industries. ^[2][6][7]

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