Samsung and Nvidia Are Building an AI Megafactory
The two tech giants are teaming up to build an AI-driven semiconductor facility that could redefine how chips are designed, tested, and manufactured.
The semiconductor space just witnessed one of its biggest announcements of the year, featuring a partnership between Samsung and Nvidia to create what they’re calling an “AI Megafactory.”
Powered by more than 50,000 Nvidia GPUs, the facility aims to fundamentally reshape how chips are designed, tested, and manufactured. It’s a bold step toward a future where factories don’t just automate tasks but actually think, using AI to analyze, predict, and optimize production in real time.
This partnership isn’t new, though, but is the latest chapter in a long-running collaboration between two industry powerhouses. Samsung’s DRAM chips once fueled Nvidia’s earliest graphics cards. Now, they’re building something much bigger. Samsung plans to embed AI across its entire manufacturing flow, from chip design and lithography to equipment operations and quality control, effectively turning its global network into a living, learning production ecosystem.
Ogbonda Chivumnovu
Early results already show what that future could look like. Using Nvidia’s cuLitho and CUDA-X libraries for its optical proximity correction process, Samsung has achieved a 20x performance gain in computational lithography. That means it can detect and fix circuit pattern variations faster and more precisely than ever, dramatically shortening development cycles.
Samsung is also going a step further with Nvidia’s Omniverse platform, building digital twins of its fabrication facilities. Engineers can now simulate production virtually, spot inefficiencies, and test changes before rolling them out on the factory floor.
The AI Megafactory will produce next-generation semiconductors, mobile devices, and robotics, but Samsung’s ambitions stretch further. The company plans to extend the same AI-driven infrastructure to its global hubs, including its massive Taylor, Texas, facility. Those 50,000 GPUs will also power Samsung’s in-house AI models, already running on more than 400 million devices, while simultaneously optimizing its manufacturing systems.
Emmanuel Oyedeji
Meanwhile, Nvidia’s Jetson Thor robotic platform will boost automation on the ground, enabling intelligent robots to work alongside human operators with greater precision and autonomy.
This partnership is deeply interdependent. Samsung manufactures the high-bandwidth memory that powers Nvidia’s chips, and now both companies are co-developing Samsung’s fourth-generation HBM4 memory, expected to reach speeds up to 11 gigabits per second, a leap beyond current industry standards.
They’re not alone in this race. As Nvidia revealed a $500 billion order book for its Blackwell GPU generation, other South Korean giants, like SK Group and Hyundai, are rolling out similar GPU clusters.
The battle is no longer about who makes the fastest chips, but who can build the smartest factories. It also means that traditional chipmakers that fail to adopt AI-native production risk falling behind as manufacturing evolves into an autonomous, self-optimizing system.
Louis Eriakha
