How Nvidia Tech Drives Samsung’s Global AI Factory Vision

Samsung Electronics has unveiled plans for a new AI Megafactory in partnership with Nvidia.

The project brings AI to Samsung’s worldwide manufacturing ecosystem, spanning semiconductors, mobile devices and robotics.

Powered by more than 50,000 Nvidia GPUs, the initiative embeds AI across Samsung’s entire production network to analyse, forecast and optimise operations in real time.

The AI Factory will unify every stage of semiconductor manufacturing – from design and processing to equipment management, operations and quality assurance – within one intelligent framework.

AI will oversee data generated throughout chip design and production, turning the manufacturing environment into a fully connected system driven by continuous learning and automation.

The collaboration builds on a partnership between Samsung and Nvidia that has evolved over more than 25 years.

The relationship began when Samsung provided DRAM for Nvidia’s first graphics cards and later expanded into foundry partnerships and the co-development of high-bandwidth memory technologies.

Samsung and Nvidia collaborate on HBM4 and Omniverse

Samsung and Nvidia continue to advance high-performance memory development through the HBM4 platform.

Built using Samsung’s 6th-generation 10-nanometre-class DRAM and a 4nm logic base die, HBM4 delivers processing speeds of up to 11 gigabits per second, surpassing the JEDEC standard of 8Gbps.

The companies anticipate the technology to accelerate AI workloads and strengthen the foundation for AI-driven manufacturing infrastructure.

Alongside HBM4, Samsung will keep expanding its next-generation memory portfolio, including HBM, GDDR and SOCAMM products, while broadening its foundry services.

These innovations contribute to a wider strategy aimed at ensuring the scalability of AI technologies across global production operations.

In the coming years, Samsung will harness Nvidia-accelerated computing to extend its AI Factory capabilities.

Using Nvidia Omniverse libraries, the company will create digital twin models of its manufacturing facilities, mirroring real-world environments and processes.

These virtual systems will enable predictive maintenance, anomaly detection and performance optimisation before applying adjustments in physical operations.

Samsung will incorporate Nvidia’s cuLitho and CUDA-X libraries into its optical proximity correction (OPC) platform, achieving a 20-fold increase in computational lithography speed and accuracy.​

This advancement improves the precision of wafer patterning and shortens development timelines, enabling AI to efficiently predict and correct circuit pattern variations, a critical requirement in advanced chip manufacturing.​

Expanding digital twin manufacturing with Nvidia technology

Samsung plans to extend its AI Factory infrastructure to global manufacturing hubs, including its new chip fab in Taylor, USA.

The company will deploy Nvidia’s accelerated computing and digital twin technologies to interconnect production systems across its memory, logic, foundry and advanced packaging divisions.

This collaboration also includes working with electronic design automation (EDA) partners to create GPU-accelerated EDA tools and design technologies.

By leveraging Nvidia’s Omniverse libraries, Samsung can visualise complete fab operations within a digital environment, continuously analysing and simulating operational data to optimise performance.

This global rollout aligns with Samsung’s ambition to lead in every major semiconductor segment and represents a crucial step in its AI-driven manufacturing transformation journey.​

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.”

It highlights Nvidia’s pivotal role in driving the large-scale AI infrastructure set to transform manufacturing.

The AI Factory marks Samsung’s transition to a data-driven manufacturing model, integrating automation and AI analytics across every stage of production.
The programme seeks to connect manufacturing intelligence end to end, from semiconductor design to robotics assembly and logistics.

Samsung advances AI robotics with Nvidia platforms

It extends beyond semiconductors, as Samsung continues to leverage Nvidia technology across robotics and generative AI development.

The company designs proprietary AI models powered by Nvidia accelerated computing and the Megatron framework.

This model, used across more than 400 million Samsung devices, showcases advanced reasoning capabilities in real time, multilingual interaction, and intelligent summarisation.

In robotics, Samsung deploys the Nvidia RTX PRO 6000 Blackwell Server Edition to drive automation and enhance humanoid systems.

The platform enables AI-driven reasoning and autonomy in physical operations, bridging virtual simulations with real-world robotic data.

Through Nvidia Jetson Thor, Samsung achieves real-time AI processing in robotics, advancing task execution and safety management.

Together, these capabilities allow robots to sense their environment, make operational decisions and function autonomously within manufacturing environments.

Samsung intends to integrate these systems into its AI Factory and expand deployment across global production operations.

Samsung and Nvidia explore AI-RAN network integration

Samsung is collaborating with Nvidia, Korean telecommunications providers, universities, and research institutions to accelerate AI-RAN development.

AI-RAN integrates AI computing directly into mobile network infrastructure, enabling physical and agentic AI systems – such as robots, drones and industrial automation – to process data and make inferences at the network edge.

This approach allows AI-enabled machines to operate in real time, closer to where data is generated, rather than relying on remote cloud processing.

It supports latency-sensitive applications like factory automation and connected robotics.

The initiative builds on a 2024 proof-of-concept by Samsung and Nvidia, where Samsung’s software-based network was combined with Nvidia GPU technology to demonstrate AI-RAN performance.

Both companies intend to deepen their collaboration in this field, strengthening the integration of AI and mobile network infrastructure.

According to a Samsung spokesperson, these efforts align with the company’s strategy to scale AI-driven manufacturing and connectivity across its global ecosystem.

“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.