Inside Nvidia & Samsung’s AI Manufacturing Partnership

Samsung and Nvidia are collaborating on the development of AI-driven semiconductor manufacturing in a move designed to increase operational efficiency.

Powered by more than 50,000 Nvidia GPUs, the companies state that Samsung’s semiconductor AI factory will be a centrepiece of Samsung's digital transformation efforts. This collaboration changes how industrial processes could be managed in the future.

“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.

Jensen explains that as a prominent technology and industrial leader, “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.”

AI-driven semiconductor manufacturing

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

The stated goal of this integration is to improve overall efficiency within the manufacturing lifecycle. The partnership builds on a history of collaboration between Samsung and Nvidia.

“From Samsung’s DRAM for Nvidia's transformative 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,” says Jay Y. Lee, Executive Chairman of Samsung Electronics.

The facility will feature a real-time digital twin, which enables operational planning, anomaly detection and logistics optimisation. This technology could also help to reduce the factory's environmental impact.

According to Samsung and Nvidia, their collaboration results in 20 times greater performance and allows for scalable deployment across the semiconductor manufacturing process.

Addressing the environmental impact of AI

As the capabilities and adoption of AI expand across industries, questions regarding the environmental impact of the technology, particularly its energy consumption, are becoming more prominent. The scale of energy required to power data centres is a key consideration for companies investing heavily in AI infrastructure.

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."

In response, Nvidia’s AI platform, the GB300 NVL72, includes a set of onboard energy storage and power management tools.

These are designed to lessen the strain that 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.

Utilising AI for enhanced sustainability

Beyond mitigating the energy demands of its own hardware, Nvidia also believes that AI can be a key tool for making 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.”

Nvidia’s approach is centred on the concept of accelerated computing, which combines GPUs and CPUs to manage complex computations with greater speed and efficiency.

Nvidia states that 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, who leads Corporate Sustainability at Nvidia, will be part of a panel on AI in Sustainability at Sustainability LIVE: The Net Zero Summit in March 2026.

An engineer and a lawyer, he will discuss the application of AI in emissions tracking, energy optimisation, climate modelling and creating sustainable supply chains alongside other sustainability leaders.

To secure your tickets, click here.