The South Korean tech giant said the facility will deploy over 50,000 Nvidia GPUs to power real-time analysis, simulation, and optimisation across its global chip production network.

The goal is to make AI a core component of everything from chip design and process management to quality assurance and robotics.

The factory will use Nvidia’s accelerated computing infrastructure to create what Samsung describes as a “self-optimising” manufacturing system.

Digital twin technology built on Nvidia Omniverse will allow Samsung to simulate fabrication operations, detect anomalies, and perform predictive maintenance before making physical changes to its production lines.

The system is expected to be scaled across facilities worldwide - including Samsung’s Taylor, Texas site.

For design, Samsung is working with Nvidia and leading electronic design automation (EDA) partners to build GPU-accelerated design tools capable of handling next-generation chip architectures.

In manufacturing, it has already reported a 20x boost in computational lithography performance using Nvidia’s cuLitho and CUDA-X libraries - enabling faster pattern prediction and correction during chip production.

Samsung’s proprietary AI models, based on Nvidia’s Megatron framework, already power more than 400 million devices and are now being embedded directly into manufacturing systems.

For robotics, the company is deploying Nvidia’s RTX PRO 6000 Blackwell Server Edition and Jetson Thor platforms to link virtual simulations with real-world automation.

The megafactory also supports AI-RAN, a network-edge computing initiative that brings AI inference closer to devices like drones and industrial robots - developed jointly by Samsung, Nvidia, and South Korean telecom firms.

The collaboration extends a 25-year relationship between Samsung and Nvidia that began with DRAM for graphics cards and now spans cutting-edge HBM4 memory and GPU-accelerated infrastructure - solidifying their alliance at the forefront of the AI semiconductor race.