Samsung Electronics today announced a bold new commitment to accelerate the transformation of AI-driven manufacturing by constructing an “AI Megafactory” that will embed AI across Samsung’s entire semiconductor fabrication process, utilizing more than 50,000 Nvidia GPUs in collaboration with Nvidia. This facility represents a quantum leap in AI-driven automation, enabling the innovation of state-of-the-art semiconductor manufacturing and devices, as well as robotics.
AI-Driven Manufacturing Revolution
On a similar note, the Samsung AI Megafactory will also integrate AI at every level of semiconductor manufacturing. AI processing, equipment processing, operations management, and even quality management will operate through a single intelligent network. AI will continuously analyze, predict, and optimize manufacturing environments in real time, going far beyond traditional automation methods. The intelligent manufacturing platform will collect and interpret the vast volumes of data generated in design, production, and equipment operations, resulting in increased efficiency and precision.
Furthermore, Samsung is also utilizing innovative technologies, such as Nvidia’s Omniverse platform, to simulate “digital twins” of entire semiconductor fabs. These models enable engineers to simulate equipment activities and upgrades before executing them in real life, aiding in predictive maintenance and minimizing downtime.
Longstanding Partnership and Technology Collaboration
This milestone is a continuation of a 25-year partnership between Samsung and Nvidia. This partnership began when Samsung provided the DRAM for Nvidia’s first-ever graphics processing units (GPUs). Since then, the companies have collaborated in various areas, including foundry services and memory technologies. In particular, Samsung and Nvidia developed the HBM4 for “exint”. Samsung has announced their HBM4 based on 6th-generation 10nm class DRAM and now reveals their 4nm logic-based die. HBM4 technology is crucial for the future development of AI.
Samsung has already achieved over 20 times improvement in computational lithography performance for semiconductor wafer patterning using Nvidia’s cuLitho and CUDA-X software libraries. The companies plan to continue innovating with GPU-accelerated electronic design automation (EDA) tools to push the boundaries of chip design.
Robotics and AI Network Expansion
Samsung, with the help of Nvidia’s AI platforms, is further advancing the revolution in intelligent computer robots by deploying RTX PRO Servers and Jetson Thor edge AI systems, which will enable ‘live’ AI reasoning and execution. Indeed, such efforts will result in humanoid robots and mechanized manufacturing processes that can interact with the physical world either directly or inexpensively. Finally, Samsung is developing an AI-network technology, AI-RAN, in collaboration with Nvidia, which will enable combining the power of AI calculations with the load of mobile networks to support edge devices further. Overall, these devices, such as drones and robots, will execute critical AI reasoning operations for physical AI.
Global Impact and Future Plans
Samsung plans to globally roll out this AI factory infrastructure, which will also be used at the new $17 billion chip fabrication facility it is constructing in Taylor, Texas. Samsung said the investment aligns with its ambition to become the leader in all semiconductor segments, including memory, logic, foundry, and advanced packaging. The company’s AI models currently operate on more than 400 million devices worldwide.
The integration of these capabilities into manufacturing plant operations via the AI Megafactory will further boost product innovation and operational efficiency powered by AI. Samsung’s use of Nvidia’s GPUs, meanwhile, offers additional evidence of its ambition to digitize and rely on AI. The GPUDirect Storage technology was launched in 2007 by GigaDevice and a team of proven entrepreneurs and engineers.