Inside Nvidia & Samsung's AI-Powered Semiconductor Factory

Samsung and Nvidia have announced a collaboration focused on integrating AI into semiconductor manufacturing operations, with the aim of enhancing efficiency across production processes.

The semiconductor AI factory will be powered by more than 50,000 Nvidia GPUs, alongside Nvidia CUDA-X libraries and solutions from Synopsys, Cadence and Siemens. This infrastructure is being positioned as a central element of Samsung's broader digital transformation strategy.

The companies report that the collaboration has led to 20 times greater performance and scalable deployment across semiconductor manufacturing operations.

By embedding AI and digital twin capabilities into its production lines, Samsung aims to strengthen supply chain visibility, responsiveness and collaboration across its global operations.

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

“As Korea’s and one of the world’s foremost technology and industrial leaders, Samsung is forging its AI foundation with Nvidia to lead the future of intelligent and autonomous manufacturing — transforming Samsung itself and the many industries around the world built on Samsung technologies.”

The implementation is designed to achieve speedups in circuit simulation, verification and manufacturing analysis, whilst improving operational efficiency across multiple parameters.

Josh Parker, Head of Sustainability at Nvidia, will be speaking at Sustainability LIVE: The Net Zero Summit, co-located with Procurement & Supply Chain LIVE: The Net Zero Summit, on AI in Sustainability.

Secure your tickets to attend now and save more than £200 with our Early Bird offer.

Digital twin technology applications

The facility will incorporate a real-time digital twin system, which could enable operational planning, anomaly detection and logistics optimisation.

This technology could potentially help to reduce the environmental impact of semiconductor manufacturing processes by providing enhanced visibility into resource consumption and operational inefficiencies.

“Nvidia has been a visionary of this new AI era, and its technologies have empowered innovators to reinvent industries,” says Jay Y. Lee, Executive Chairman of Samsung Electronics.

“From Samsung’s DRAM for Nvidia's game-changing graphics card in 1995 to our new AI factory, we are thrilled to continue our longstanding journey with Nvidia in leading this transformation as we envision creating new standards for the future and accelerating breakthroughs for the world.”

How Nvidia is supporting sustainability in AI

Jensen explains: "Data centres are already about 1-2% of global electricity consumption and that consumption is expected to continue to grow.

“This continued growth is not sustainable, neither for operating budgets nor for our planet."

Nvidia's AI platform, the GB300 NVL72, incorporates onboard energy storage and power management tools that are designed to reduce the strain AI workloads place on electricity grids.

The system uses both hardware and software to limit energy spikes, which could offer a method to improve grid stability during power-intensive training sessions.

Josh Parker, Senior Director of Corporate Sustainability at Nvidia, says: "AI, I firmly believe, is going to be the best tool that we've ever seen to help us achieve more sustainability and more sustainable outcomes."

Its approach centres on the concept of accelerated computing, which combines GPUs and CPUs to handle complex computations quickly and efficiently. 

The company says these systems can be up to 20 times more energy efficient than traditional CPU-only systems for AI inference and training.

Josh explains: "If you compare the energy efficiency for AI inference from eight years ago until today, it's 45,000 times more energy efficient."

About Nvidia's sustainability leader

Josh leads Corporate Sustainability at Nvidia.

An engineer and a lawyer, he believes following the data wherever it leads is critical for an effective sustainability programme.

He previously led sustainability at Western Digital, a computer storage company, and practiced patent law at the law firm Baker Botts. 

At Sustainability LIVE: The Net Zero Summit in London, Josh is set to discuss the use of AI in emissions tracking, energy optimisation, climate modelling and sustainable supply chains with a panel of sustainability leaders.

This event is co-located with Procurement & Supply Chain LIVE: The Net Zero Summit, where more than 50 expert speakers will tackle topics like supply chain resilience and risk mitigation.

Secure your tickets to Sustainability LIVE: The Net Zero Summit.