Samsung & Nvidia: Using AI for Efficiency in Manufacturing

Samsung and Nvidia are working together on AI-powered semiconductor production to achieve greater operational efficiency across manufacturing processes.

The collaboration will see Samsung's semiconductor AI factory powered by more than 50,000 Nvidia GPUs, which the companies describe as a cornerstone of Samsung's broader digital transformation strategy.

“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, 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.

Advancing semiconductor production through AI

Samsung is deploying Nvidia GPUs alongside Nvidia CUDA-X libraries and solutions from Synopsys, Cadence and Siemens to deliver accelerated circuit simulation, verification and manufacturing analysis whilst improving operational 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 feature a real-time digital twin, which could enable operational planning, anomaly detection and logistics optimisation that may help to reduce environmental impact.

According to the companies, their collaboration has delivered 20 times greater performance alongside scalable deployment across semiconductor manufacturing operations.

Addressing AI's environmental impact

As AI capabilities continue to expand, the market size is growing correspondingly, with a majority of companies across various industries exploring and implementing AI solutions.

This rapid expansion raises questions about the environmental impact of the technology, particularly regarding 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 onboard energy storage and power management tools designed to reduce the strain AI workloads place on electricity grids.

The system could offer a way to improve grid stability during power-intensive training sessions by using both hardware and software to limit energy spikes.

Leveraging AI for sustainable outcomes

Nvidia 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."

The company's approach centres on accelerated computing, which combines GPUs and CPUs to handle complex computations quickly and efficiently.

According to Nvidia, 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 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 practised 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 are set to tackle cost efficiency, risk mitigation and long-term value creation.

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