Samsung Electronics announced plans to establish a new “AI Megafactory” in partnership with NVIDIA, aiming to embed artificial intelligence throughout its global manufacturing network. The facility will deploy more than 50,000 NVIDIA GPUs, enabling real-time optimization of semiconductor design, production, and quality control processes. “AI will be embedded throughout Samsung’s entire manufacturing flow, accelerating development and production of next-generation semiconductors, mobile devices and robotics,” the company said in a statement.
The AI Factory will connect all aspects of Samsung’s chipmaking operations through a single intelligent network that continuously analyzes and predicts production conditions. Using NVIDIA’s cuLitho and CUDA-X libraries, Samsung said it achieved a 20-fold boost in computational lithography performance, allowing AI to enhance wafer pattern precision and shorten development cycles. The company also plans to implement digital twin manufacturing through NVIDIA’s Omniverse platform, allowing engineers to simulate and optimize virtual fabrication lines before physical rollout.
Samsung’s collaboration with NVIDIA builds on a 25-year partnership that began with memory supply for early graphics cards. The two companies are now co-developing HBM4, a high-bandwidth memory solution designed to accelerate AI applications. Built using Samsung’s 10-nanometer-class DRAM and a 4nm logic base die, HBM4 achieves processing speeds of up to 11 gigabits per second, exceeding the JEDEC standard of 8Gbps.
The new AI Megafactory will support Samsung’s broader goal of expanding intelligence-driven manufacturing to its global hubs, including its facility in Taylor, Texas. Beyond chipmaking, Samsung is integrating NVIDIA’s RTX PRO 6000 and Jetson Thor platforms to advance humanoid robotics and autonomous systems within its production ecosystem.
Samsung and NVIDIA also plan to strengthen collaboration on AI-RAN, an emerging communication technology that integrates AI computing into mobile networks. The system will allow robots, drones, and industrial automation equipment to process data and make real-time decisions at the network edge. The companies said AI-RAN will serve as a neural foundation for the widespread deployment of physical AI across industries.
Source: Samsung