Samsung Electronics has announced plans to create a new AI Megafactory in collaboration with NVIDIA, marking a major milestone in the company’s efforts to lead the global paradigm shift toward AI-driven manufacturing. By deploying more than 50,000 NVIDIA GPU’s, AI will be embedded throughout Samsung’s entire manufacturing flow, accelerating development and production of next-generation semiconductors, mobile devices and robotics.
Samsung’s AI Factory will integrate every aspect of semiconductor manufacturing, from design and process to equipment, operations and quality control, into a single intelligent network, where AI continuously analyzes, predicts and optimizes production environments in real time.
The Samsung AI Factory goes beyond traditional automation, serving as an intelligent manufacturing platform that connects and interprets the immense data generated across chip design, production and equipment operations.
From 25+ Year Collaboration to a Stronger AI Chip Alliance
Samsung and NVIDIA celebrate a collaboration that spans more than 25 years, beginning with Samsung’s DRAM powering NVIDIA’s early graphics cards and extending through foundry partnership.
In addition to their ongoing collaborations, Samsung and NVIDIA are also working together on HBM4. With incredibly high bandwidth and energy efficiency, Samsung’s advanced HBM solutions are expected to help accelerate the development of future AI applications and form a critical foundation for manufacturing infrastructure driven by these technologies.
Built with the company’s 6th-generation 10-nanometer (nm)-class DRAM and a 4nm logic base die, Samsung HBM4’s processing speeds can reach 11 gigabits-per-second (Gbps), far exceeding the JEDEC standard of 8Gbps.
Samsung will also continue to deliver next-generation memory solutions, including HBM, GDDR, and SOCAMM, as well as foundry services, driving innovation and scalability across the global AI value chain.
Accelerating the Transition to Intelligence-Driven Manufacturing
Over the next several years, Samsung plans to implement NVIDIA accelerated computing to scale its AI Factory and accelerate digital twin manufacturing powered by NVIDIA Omniverse libraries across one of the world’s most comprehensive chip manufacturing infrastructures ― spanning memory, logic, foundry and advanced packaging.
Leveraging NVIDIA cuLitho and CUDA-X libraries for its optical proximity correction (OPC) process, Samsung has achieved a 20x gain in computational lithography performance. As a critical step in accurate wafer patterning, the enhanced OPC enables AI to predict and correct circuit pattern variations with far greater speed and precision, reducing development cycles.
For electronic design automation (EDA), the companies are collaborating with EDA partners to develop next-generation GPU-accelerated EDA tools and design technologies.
Using NVIDIA Omniverse libraries, Samsung is building digital twins that can visualize entire fab operations virtually. These virtual environments identify anomalies, perform predictive maintenance and optimize production before changes are applied in the physical world.
Samsung plans to extend its AI Factory infrastructure to its global manufacturing hubs, including Taylor, U.S., bringing greater intelligence and agility to its worldwide semiconductor operations.
Building Out the AI Ecosystem Across Generative AI and Robotics
Samsung has been developing proprietary AI models that power more than 400 million of its devices. These models are also integrated into the company’s internal manufacturing systems, driving intelligence and innovation across its production processes.
Built on NVIDIA accelerated computing and the Megatron framework, Samsung’s AI models demonstrate advanced reasoning capabilities that deliver exceptional performance in real-time translation, multilingual conversations and intelligent summarization.
In intelligent robotics, Samsung is leveraging the NVIDIA RTX PRO™ 6000 Blackwell Server Edition platform to advance manufacturing automation and humanoid robotics, accelerating adoption and enhancing autonomy in next-generation physical AI applications.
Samsung is also working with a range of NVIDIA AI platforms to connect virtual simulation and real-world robot data, enabling robots to understand their surroundings, make decisions and operate intelligently in real-life settings. Using the NVIDIA Jetson Thor robotic platform, Samsung is accelerating real-time AI reasoning, task execution and safety controls in intelligent robots.
Samsung plans to extend the use of these technologies into its AI Factory infrastructure and across its broader business areas, building out an intelligent manufacturing ecosystem that brings together AI and robotics.
Connecting Consumers and Industries Through AI
Samsung is also working with NVIDIA, Korean telecom operators, academia and research institutions to foster collaboration on AI-RAN development.
AI-RAN is a key next-generation communication technology that integrates AI computing power into mobile network capabilities. It allows agentic and physical AI ― such as robots, drones and industrial automation equipment ― to intelligently operate, sense, process data and perform inferences in real-time at the network edge, closer to the points where physical AI connect to the network. This AI-powered mobile network will play a crucial role as a neural network essential in widespread adoption of physical AI.
This new initiative builds upon Samsung and NVIDIA’s collaboration last year, which successfully completed the proof-of-concept of AI-RAN through combining Samsung’s software-based network and NVIDIA GPU. The companies will continue to strengthen their ongoing collaboration on AI-RAN.
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