Samsung Unveils Ambitious AI-Driven Chip Plant Using Nvidia Omniverse Platform

TLDRs;

• Samsung is partnering with Nvidia to build an AI-powered chip factory using over 50,000 Nvidia GPUs.
• The facility will use Nvidia Omniverse to create digital twins that optimize semiconductor production in real time.
• Samsung reports a 20x improvement in lithography performance through Nvidia’s computing libraries.
• The company plans to expand AI manufacturing systems globally, integrating robotics and mobile device operations.

Samsung Electronics has announced plans to build one of the world’s most advanced AI-powered chip factories in collaboration with Nvidia.

The ambitious project aims to integrate artificial intelligence throughout Samsung’s global manufacturing operations, marking a pivotal step in the company’s digital transformation.

At the heart of the initiative is the Nvidia Omniverse platform, a 3D simulation and collaboration environment that enables “digital twins” of physical factories. Samsung will use more than 50,000 Nvidia GPUs to power these simulations and support real-time data analysis across its semiconductor, robotics, and mobile device manufacturing lines.

This large-scale effort seeks to link every stage of semiconductor production, design, process, equipment, and quality control, into a unified AI-driven system capable of optimizing performance and predicting issues before they occur.

50,000 GPUs to Drive Intelligent Production

According to Samsung, the new AI megafactory will connect and automate multiple layers of the chipmaking process. Using Nvidia’s powerful GPU infrastructure, Samsung engineers will gain the ability to run complex simulations, identify potential bottlenecks, and improve yields in real time.

One of the standout applications is in computational lithography, a process that determines how microscopic patterns are printed on silicon wafers. Leveraging Nvidia’s specialized computing libraries, Samsung reported a 20x improvement in certain stages of lithography simulation. This performance boost could shorten chip design cycles and enhance production precision, two critical factors in maintaining Samsung’s competitive edge against TSMC and Intel.

The new facility will also serve as a testbed for next-generation HBM4 high-bandwidth memory chips, which Samsung is co-developing with Nvidia to meet growing AI compute demands.

Digital Twins Bring Virtual Precision to Reality

Samsung’s deployment of digital twins, virtual replicas of its manufacturing plants, is a defining feature of this project. These twins will allow engineers to test and optimize production systems virtually before implementing changes in the physical world, minimizing costly downtime and equipment wear.

Beyond chipmaking, Samsung plans to apply digital twin technology to its robotics and mobile device assembly lines, improving coordination between hardware and software systems. By linking these AI-powered virtual environments with real-world data from sensors and cameras, Samsung can predict maintenance needs, reduce defects, and improve energy efficiency.

The company expects to roll out similar AI-integrated systems across its manufacturing hubs in the United States, South Korea, and other key markets.

A Broader Partnership with Nvidia

Samsung’s collaboration with Nvidia goes beyond hardware. Both companies are exploring GPU-accelerated design automation tools and AI-driven network technologies that could redefine how factories communicate and learn from one another.

However, industry experts note that scaling such an AI infrastructure poses challenges. The logistics of cooling, power supply, and managing 50,000 GPUs in a manufacturing environment are substantial. Moreover, digital twin implementation at global scale remains largely unproven, with even major adopters like BMW and Schaeffler still in early phases.

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