How Nvidia & Samsung are Boosting Manufacturing Efficiency

Samsung and Nvidia are collaborating on AI-driven semiconductor manufacturing to achieve increased operational efficiency. 

Powered by more than 50,000 Nvidia GPUs, the companies say that Samsung’s semiconductor AI factory will be a centrepiece of the company’s digital transformation.

“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.”

Josh Parker, Head of Sustainability at Nvidia, will be speaking at Sustainability LIVE: The Net Zero Summit on AI in Sustainability.

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AI-powered semiconductor manufacturing

Samsung is using Nvidia GPUs, Nvidia CUDA-X libraries and solutions from Synopsys, Cadence and Siemens to achieve speedups in circuit simulation, verification and manufacturing analysis alongside improved efficiency.

“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.”

The facility will have a real-time digital twin, enabling operational planning, anomaly detection and logistics optimisation which could help to reduce its environmental impact.

The companies say that their collaboration has led to 20 times greater performance and scalable deployment across semiconductor manufacturing. 

How Nvidia is supporting sustainability in AI

As the capabilities of AI continue to expand, so too does its market size, with an overwhelming majority of companies across various industries exploring and implementing AI solutions. 

However, this rapid growth raises important questions about the environmental impact of the technology, particularly in terms of energy consumption.

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, introduces a set of onboard energy storage and power management tools designed to reduce the strain AI workloads place on electricity grids.

By using both hardware and software to limit energy spikes, the system offers a way to improve grid stability during power-intensive training sessions.

Using AI for sustainability

The company also believes that AI can help to make data centres more sustainable.

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."

Josh will be part of a panel on AI in Sustainability at Sustainability LIVE: The Net Zero Summit in March 2026, discussing how AI is transforming how organisations manage environmental performance.

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

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.

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