Samsung & Nvidia: Rewiring Manufacturing With AI Megafactory

Samsung Electronics is partnering with Nvidia to establish an AI Megafactory, a project designed to embed AI throughout its global manufacturing operations.

The collaboration will see Samsung integrate over 50,000 Nvidia GPUs into its production network, enabling real-time analysis, prediction and optimisation for its semiconductor, mobile device and robotics divisions.

This AI Factory aims to unify every stage of semiconductor production from design and processing to quality control within a single intelligent system.

The core of the initiative involves using AI to manage the vast amounts of data generated by chip design and manufacturing systems.

This transforms the production process into an interconnected network that operates with continuous feedback and automated adjustments.

The project is an extension of a partnership between Samsung and Nvidia that has lasted for more than 25 years, beginning when Samsung provided DRAM for Nvidia’s early graphics cards and later evolving into foundry partnerships and joint memory development.

HBM4 and Omniverse collaboration

Samsung and Nvidia are continuing their joint development of high-performance memory through the HBM4 platform.

This platform, which is built using Samsung’s 6th-generation 10-nanometre-class DRAM and a 4nm logic base die, achieves processing speeds of up to 11 gigabits per second, a figure that surpasses the JEDEC standard of 8Gbps.

Samsung and Nvidia anticipate that this technology will help accelerate AI applications and provide the technical foundation for an AI-driven manufacturing infrastructure.

Alongside HBM4, Samsung intends to advance its next-generation memory solutions, including HBM GDDR and SOCAMM products and expand its foundry services. In the coming years, Samsung will use Nvidia-accelerated computing to scale its AI Factory.

Through Nvidia Omniverse libraries, Samsung will construct digital twin models of its manufacturing facilities.

These virtual replicas of physical sites and processes will facilitate predictive maintenance, anomaly detection and process optimisation before any changes are made in the real world.

Expanding digital twin manufacturing

Samsung is set to extend this AI Factory framework to its global manufacturing centres, including its facility in Taylor, USA.

Samsung will deploy Nvidia’s accelerated computing and digital twin technologies to connect production systems across its memory logic foundry and advanced packaging divisions.

This effort involves collaboration with electronic design automation (EDA) partners to create GPU-accelerated EDA tools and design technologies.

By utilising Nvidia’s Omniverse libraries, Samsung can visualise entire fab operations in a digital space, ensuring that operational data is constantly analysed and simulated for performance optimisation.

Jensen Huang, Founder and CEO of Nvidia, says: “We are at the dawn of the AI industrial revolution – a new era that will redefine how the world designs, builds and manufactures.”

This AI Factory represents Samsung’s adoption of a data-centric approach to manufacturing, where automation and AI analytics are integrated at every level of production.

The goal is to unify manufacturing intelligence from semiconductor design through to robotics and logistics.

AI robotics and network integration

Beyond semiconductors, Samsung is applying Nvidia technology to its robotics and generative AI development. Samsung has created proprietary AI models built on Nvidia accelerated computing and the Megatron framework.

These models currently power over 400 million Samsung devices. In robotics, Samsung employs the Nvidia RTX PRO 6000 Blackwell Server Edition to improve automation and humanoid robotics.

The platform supports AI-based reasoning and autonomy in physical applications, bridging virtual simulations with real-world robot data.

Samsung is also exploring AI-RAN development with Nvidia and other partners. AI-RAN integrates AI computing into mobile network infrastructure, allowing systems like robots and drones to process data at the network edge.

This enables AI-powered machines to operate in real time, closer to where data is generated. A Samsung spokesperson states that these initiatives align with Samsung’s broader strategy.

“Our long-term collaboration with Nvidia allows us to create a more intelligent manufacturing foundation while advancing technologies that connect industries and consumers through AI,” the spokesperson says.