- The new Samsung AI Megafactory combines chip manufacturing, robotics and digital twins into one networked ecosystem
- The company integrates Nvidia Omniverse to simulate and optimize complex factory operations
- AI-guided lithography promises faster production cycles and sharper wafer pattern precision
Samsung has announced plans to build what it calls an “AI Megafactory,” powered by over 50,000 Nvidia GPUs and the Nvidia Omniverse platform.
The project aims to embed AI intelligence through its semiconductor, mobile and robotics operations.
This would set the stage for what could become a global benchmark in intelligent manufacturing and transform its semiconductor and robotics production.
Extending AI to semiconductor design and manufacturing
Samsung’s goal is to use artificial intelligence to connect design, manage processes, operate equipment and ensure quality control in a unified digital system.
Using Nvidia’s cuLitho and CUDA-X libraries, the company claims a 20-fold improvement in computational lithography.
These gains suggest shorter development cycles and more efficient manufacturing are achieved through a process critical to producing accurate wafer patterns.
However, questions remain about the long-term stability and maintainability of such AI-dependent systems.
The company also collaborates with electronic design automation partners to develop GPU-accelerated EDA tools that can redefine the efficiency of chip design.
Samsung will use Nvidia Omniverse libraries to create digital twins of its manufacturing facilities, simulate factory operations to identify faults and optimize performance before real-world deployment.
While this approach may improve efficiency, it also increases Samsung’s reliance on cloud and web hosting for data processing and visualization.
It also increases its reliance on AI-driven design, raising questions about oversight, reproducibility and the potential for technical lock-in to Nvidia’s ecosystem.
Samsung is also expanding its AI infrastructure for robotics, using 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 under centralized platforms.
Samsung and Nvidia’s collaboration spans 25 years and evolves from memory supply for early graphics cards to joint development of next-generation HBM4 memory.
The new AI Megafactory appears to strengthen this relationship, but the consolidation of advanced AI tools within a few dominant technology alliances raises broader concerns.
Follow TechRadar on Google News and add us as a preferred source to get our expert news, reviews and opinions in your feeds. Be sure to click the Follow button!
And of course you can too follow TechRadar on TikTok for news, reviews, video unboxings, and get regular updates from us on WhatsApp also.
