Samsung Electronics has announced a partnership with Nvidia to create an AI Megafactory, a new kind of semiconductor manufacturing hub powered by artificial intelligence. The facility will use more than 50,000 of Nvidia’s advanced GPUs to integrate AI across every stage of chip design, production, and quality control.
The goal is to transform how semiconductors are developed — using AI not only to optimize efficiency but also to speed up innovation in chips, robotics, and connected devices. Samsung Electronics says the initiative will pave the way for next-generation AI-driven technologies, from smartphones to industrial automation systems.
AI at the Core of Semiconductor Manufacturing
Unlike Nvidia’s traditional AI factories, which are mainly large-scale data centers for AI model training, Samsung Electronics’s new facility will be an AI-embedded manufacturing plant. Every process — from chip design and testing to packaging and logistics — will run through AI systems that analyze data in real time.
The factory will act as a “single intelligent network,” where AI models monitor production, predict maintenance needs, and adjust operations automatically to improve yield and reduce downtime. Samsung Electronics plans to use digital twin technology built on Nvidia’s Omniverse platform, creating virtual replicas of its chips, tools, and fabrication plants.
These digital twins will simulate how each component and process behaves before full-scale production begins. Engineers will be able to detect issues, fine-tune operations, and prevent costly disruptions by testing in the virtual environment first.
Samsung Electronics said this AI-driven system will also extend to its hardware divisions, allowing it to replicate and optimize factories producing Galaxy smartphones, appliances, and televisions.
AI Tools Boost Speed and Precision
AI integration is already showing results. Samsung Electronics’ early testing of AI-enhanced optical proximity correction (OPC) — a key process in ensuring circuit accuracy — achieved a 20-times performance improvement in computational lithography. The company credited Nvidia’s cuLitho and CUDA-X software libraries for enabling this leap.
Beyond lithography, AI will also enhance electronic design automation (EDA), the process of creating and verifying complex chip layouts. With Nvidia’s GPU acceleration, Samsung plans to develop new design tools that improve simulation accuracy and speed up chip development cycles.
In parallel, Samsung Electronics is applying AI to factory robotics, powered by Nvidia’s RTX Pro 600 Blackwell Server Edition and Megatron framework. These systems are being used to train advanced AI models capable of decision-making and reasoning — skills that allow robots to collaborate more seamlessly with human workers.
Nvidia’s Jetson Thor robotic platform will further connect real-world robot data with digital simulations. This link will help Samsung Electronics’ robots navigate their environments safely and react faster to physical changes on the factory floor, ensuring both efficiency and safety.
Next Steps: AI Networks and High-Speed Memory
Samsung Electronics and Nvidia are extending their collaboration beyond chipmaking to include AI-RAN, an AI-powered mobile network technology. Working alongside South Korea’s top telecom providers, the companies aim to integrate AI into wireless networks, enabling real-time communication for intelligent robots, drones, and industrial systems. Samsung has already tested AI-RAN in pilot projects and expects it to play a key role in what it calls “physical AI” — the merging of artificial intelligence with real-world devices.
At the same time, Samsung continues to work with Nvidia on developing its next-generation HBM4 (high-bandwidth memory) chips, which are critical for powering AI servers. Although the company trails behind SK Hynix in this area, it expects its HBM4 chips to outperform current models when mass production begins next year.
The new memory is built using Samsung’s sixth-generation 10-nanometer-class DRAM and four-nanometer logic base die, achieving speeds up to 11 gigabits per second — well above the current JEDEC standard of 8 Gbps.
Samsung’s partnership with Nvidia signals a major step toward AI-first manufacturing, where every stage of production is optimized through intelligent automation. By merging high-performance GPUs, AI-driven software, and robotics, the two companies are redefining how the next generation of semiconductors — and the technologies they power — will be built.
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