- New Samsung AI Megafactory merges chip manufacturing, robotics and digital twins into one networked ecosystem
- Company integrates Nvidia Omniverse to simulate and optimize complex factory operations
- AI-driven lithography promises faster production cycles and sharper wafer pattern accuracy
Samsung has announced plans to build what it calls an “AI Mega Factory,” powered by more than 50,000 Nvidia GPUs and the Nvidia Omniverse platform.
The project aims to incorporate artificial intelligence into all its semiconductor, mobile and robotics operations.
This would lay the foundation for what could become a global benchmark in smart manufacturing and transform its production of semiconductors and robotics.
Extending AI to semiconductor design and production
Samsung’s goal is to use AI to connect design, manage processes, operate equipment and ensure quality control within a unified digital system.
By using Nvidia’s cuLitho and CUDA-X libraries, the company claims to have improved computational lithography 20 times.
These benefits suggest that shorter development cycles and more efficient manufacturing are achieved through a process essential to producing accurate wafer patterns.
However, questions remain about the long-term stability and maintenance of these AI-dependent systems.
The company is also collaborating with partners in electronic design automation to develop GPU-accelerated EDA tools that could redefine chip design efficiency.
Samsung will use Nvidia Omniverse libraries to create digital twins of its manufacturing plants, simulating factory operations to identify faults and optimize performance before real-world deployment.
While this approach can improve efficiency, it also increases Samsung’s reliance on cloud hosting and web hosting for data processing and visualization.
It also increases its reliance on AI-driven design, raising issues of oversight, reproducibility, and potential for technical lock-in within the Nvidia ecosystem.
Samsung is also expanding its AI infrastructure to robotics, applying the Nvidia RTX PRO 6000 Blackwell Server Edition systems and the Jetson Thor platform.
These technologies aim to improve automation and autonomy in both humanoid and industrial robots.
They promise greater precision and adaptability and reflect an industry trend toward merging physical and digital intelligence into centralized platforms.
Samsung and Nvidia’s collaboration spans 25 years, evolving from supplying memory for the first graphics cards to co-developing the next-generation HBM4 memory.
The new AI Megafactory appears to strengthen that relationship, but the consolidation of advanced AI tools within a few dominant technology alliances raises broader concerns.
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