Samsung to Deploy 50,000 NVIDIA GPUs in New AI Megafactory to Revolutionize Chip Manufacturing
Samsung has announced a massive step forward in its partnership with NVIDIA, revealing plans to deploy over 50,000 NVIDIA GPUs within its upcoming AI megafactory. This milestone project marks a major leap in the companies’ 25-year collaboration, aiming to transform Samsung’s global manufacturing ecosystem into a fully AI-driven network.
According to Samsung, the megafactory will integrate AI into every stage of production:
“By deploying more than 50,000 NVIDIA GPUs, AI will be embedded throughout Samsung’s entire manufacturing flow, accelerating development and production of next-generation semiconductors, mobile devices, and robotics.”
The company’s vision is to unify its complex manufacturing operations into a single intelligent network, where AI can analyze, predict, and optimize production environments in real time. This transformation will enable faster design cycles, smarter process control, and more efficient resource allocation across Samsung’s semiconductor, mobile, and robotics divisions.
To support the expansion of its AI megafactory, Samsung will rely on NVIDIA accelerated computing and NVIDIA Omniverse libraries to create digital twins, virtual replicas of its fabs and manufacturing lines. By simulating entire production environments, these digital twins allow Samsung to detect anomalies, perform predictive maintenance, and optimize production strategies before implementing physical changes.
Eventually, Samsung plans to expand this AI factory model across its global manufacturing hubs, including its facility in Taylor, Texas, further integrating AI into its worldwide supply chain.
A Deepening Alliance Across Key Technologies
The AI megafactory is only one part of the growing collaboration between Samsung and NVIDIA, which spans several cutting-edge domains:
HBM4 Development: Samsung and NVIDIA are co-developing HBM4 memory, combining Samsung’s 6th-generation 10nm-class DRAM with a 4nm logic base die, capable of reaching speeds up to 11 Gbps.
Computational Lithography: Samsung has achieved a 20x performance boost in its optical proximity correction (OPC) process using NVIDIA cuLitho and CUDA-X libraries, leveraging AI to predict and correct circuit variations with remarkable precision.
EDA and Chip Design Tools: Both companies are working with Electronic Design Automation (EDA) partners to create next-generation GPU-accelerated design technologies for faster and more efficient chip development.
AI Model Development: Samsung is building bespoke large language models (LLMs) powered by NVIDIA’s Megatron framework and accelerated computing architecture.
Intelligent Robotics: The partnership extends into robotics through the NVIDIA RTX PRO 6000 Blackwell Server Edition and Jetson Thor platforms, designed to power industrial and autonomous systems.
AI-RAN Collaboration: Samsung, NVIDIA, and South Korea’s telecom operators are jointly developing AI-RAN, an intelligent cellular network framework that uses AI to improve performance, energy efficiency, and communication capacity.
This expanded alliance reflects both companies’ shared commitment to shaping the next generation of AI, semiconductor, and manufacturing innovation. As Samsung integrates NVIDIA’s GPU acceleration and digital twin technologies into its industrial backbone, the megafactory could become one of the most advanced AI-driven production facilities in the world.
What do you think about Samsung’s plan to use 50,000 NVIDIA GPUs for its AI-powered megafactory? Could this reshape how chips and devices are built in the future?
