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Samsung and Nvidia unite to build world’s first AI megafactory

Samsung and Nvidia unite to build world’s first AI megafactory

Laaheerie P
November 2, 2025

In a strategic move set to reshape the global semiconductor industry, Samsung Electronics has announced plans to establish a next-generation Artificial Intelligence (AI) Mega Factory in collaboration with Nvidia, the US-based graphics and AI computing powerhouse. The initiative, revealed through Focus Taiwan, marks a significant step toward Samsung’s vision of integrating AI into every aspect of semiconductor design, production, and quality assurance.

The collaboration between Samsung and Nvidia is not new; it extends over 25 years of shared innovation. The two companies first joined forces when Samsung supplied DRAM for Nvidia’s early graphics cards. Over time, this partnership evolved to include foundry operations, advanced memory technologies, and joint R&D in AI computing.

This latest venture, the AI Megafactory symbolizes the deepening of that alliance, combining Samsung’s leadership in semiconductor manufacturing with Nvidia’s dominance in AI and GPU acceleration . Together, they aim to establish a fully intelligent manufacturing ecosystem that redefines chip production at scale.

The AI* *m* *egafactory* *i* *ntelligent* *m* *anufacturing at* *g* *lobal* *s* *cale :

Samsung’s AI Megafactory is being designed as a comprehensive, AI-integrated manufacturing platform, running on more than 50,000 Nvidia GPUs. The system will connect every stage of the production process from chip design and wafer processing to equipment control and real-time quality management.

A company official emphasized that this initiative goes beyond automation, stating,“An intelligent, self-optimizing manufacturing environment is enabled as immense data generated across chip design, production, and equipment operations is connected and interpreted by the Samsung AI Factory.”

Through the use of AI-driven analytics and predictive modeling, Samsung expects to enhance production efficiency, reduce manufacturing errors, and accelerate time-to-market for advanced chips.

Digital* *t* *wins and* *p* *redictive* *o* *perations :

At the core of this transformation is the use of Nvidia’s Omniverse and Cuda-X platforms. These technologies will allow Samsung to build digital twins of its fabrication plants with detailed virtual replicas that simulate every element of chip production.

With these digital twins, engineers can test potential system upgrades, optimize processes, and predict maintenance needs long before changes are applied in physical environments. This predictive capability is expected to substantially reduce downtime and improve equipment performance across the production chain.

Technological* *a* *dvancements* *p* *owering the* *f* *actory :

Samsung is also adopting Nvidia’s cuLitho software, which delivers up to 20 times faster computational lithography performance. This accelerates key processes such as optical proximity correction (OPC) crucial for creating precise circuit patterns on silicon wafers. By integrating AI into these workflows, Samsung can improve yield rates and maintain superior chip quality standards.

In the design domain, the company is working with electronic design automation (EDA) partners to develop GPU-accelerated design tools, pushing the boundaries of semiconductor innovation.

Expanding into* *r* *obotics and* *s* *mart* *a* *utomation :

The Megafactory will not only revolutionize chipmaking but also transform the factory floor itself. Samsung is deploying Nvidia’s RTX Pro 6000 Blackwell Server Edition and Jetson Thor platforms to enhance its robotics and automation systems.

These solutions will enable humanoid and smart robots to perform real-time AI reasoning and task execution, making production lines more adaptive, safe, and efficient. This development aligns with the global trend toward AI-powered industrial robotics, a sector projected to grow exponentially as factories become more autonomous.

AI-RAN: The* *f* *uture of* *m* *obile and Edge Intelligence :

Samsung and Nvidia’s partnership extends into telecommunications through the development of AI-RAN (AI Radio Access Network) technology. This new system combines Nvidia’s GPU computing with Samsung’s software-based mobile network infrastructure, enabling edge devices such as drones, industrial robots, and autonomous systems to conduct on-site AI inference and decision-making.

According to Samsung, this AI-driven mobile network will function as a neural backbone for “physical AI,” connecting smart devices and machines in real-time and paving the way for fully AI-integrated industrial ecosystems.

Global* *e* *xpansion and* *s* *trategic* *i* *mplementation :

Samsung plans to deploy the AI Factory infrastructure across all its global manufacturing facilities, including the upcoming semiconductor fab in Taylor, Texas. The rollout will help the company strengthen its leadership across memory, logic, foundry, and advanced packaging four pillars of the semiconductor industry.

The initiative also supports Samsung’s broader ambition to maintain a competitive edge over rivals like TSMC and Intel, as all major chipmakers race to integrate AI into their manufacturing and R&D ecosystems.

Megatron* *f* *ramework and* *l* *ong-* *t* *erm* *v* *ision :

Currently, Samsung’s AI models operate in over 400 million consumer devices worldwide. The new Megatron framework will extend these AI capabilities internally, enabling multilingual interaction, intelligent summarization, and advanced reasoning within factory operations.

By fusing AI expertise with manufacturing excellence, Samsung is aimed to be positioned as the global leader in AI-driven industrial transformation. It was stated by a Samsung official that this marks a critical milestone in the company’s journey toward leading the global shift to AI-driven manufacturing.

Industry* *i* *mpact and* *o* *utlook :

Analysts believe this initiative could mark a paradigm shift in semiconductor production, transitioning from conventional automation to intelligent, data-centric manufacturing. With the convergence of AI, robotics, edge computing, and next-gen connectivity, Samsung and Nvidia are setting a new benchmark for how semiconductors are designed, tested, and produced.

The AI Megafactory represents not only an operational breakthrough but also a strategic step toward sustainable, self-optimizing, and scalable chip production, reinforcing Samsung’s long-term vision: to lead the global AI value chain through innovation, efficiency, and collaboration.