Siemens and NVIDIA are expanding their partnership to support the global transformation of manufacturing, which is being shaped by rapid adoption of advanced technologies and significant investments. The two companies are developing a new digital twin software as part of a Siemens technology stack designed for AI-driven manufacturing.
The software, currently in development, aims to help manufacturers build and optimize factories using large-scale simulation, AI-driven workflows, and data-based decision-making throughout all stages of design and operation. At a demonstration during GTC, Siemens presented how the technology can assist customers from the initial design phase through factory operations. A central feature is the ability to integrate building infrastructure with production lines within one engineering environment. With AI simulation capabilities, users can test hundreds of potential layouts quickly to identify the most efficient configuration. Engineers will be able to perform these simulations in hours instead of days or weeks and create photorealistic models afterward.
The collaboration leverages Siemens’ experience in industrial technology and NVIDIA’s strengths in graphical processing to provide tools for designing more efficient factories, products, and AI data centers.
“Industrial innovation is accelerating at an unprecedented pace. Together Siemens and NVIDIA are leading the way,” said Peter Koerte, Member of the Managing Board, Chief Technology Officer and Chief Strategy Officer at Siemens. “By combining our strengths in industrial AI, digital twins, automation, and building technologies, we are enabling the industrial metaverse—and with it the next generation of factories and AI data centers – delivering the efficiency, power, scalability, and intelligence needed to meet growing global demand and shape the future of industry.”
“Digital twins have become essential in the age of industrial AI, enabling the simulation and optimization of entire production lines and training robotics virtually before a single piece of hardware is installed,” said Rev Lebaredian, Vice President of Omniverse and Simulation Technology at NVIDIA. “Our collaboration with Siemens brings NVIDIA Omniverse to the heart of manufacturing, providing the critical platform capabilities to accelerate the entire factory lifecycle, from concept to operation.”
Manufacturers today face challenges related to complexity management, faster production cycles, and energy efficiency improvements. The new software is intended to address these issues by offering an integrated environment for building digital replicas—digital twins—of factory operations. For example, semiconductor manufacturers can use this tool to simulate different configurations within existing facilities to increase production while managing complex processes.
Siemens’ expertise connects all aspects of chip-to-grid infrastructure—from manufacturing through intelligent operations—allowing both companies’ portfolios to deliver comprehensive solutions that promote efficiency and innovation for industrial clients.
Siemens also provides technology that ensures unified operation across power systems, cooling mechanisms, computing resources, and building management—whether for new construction or retrofits. Through simulation tools combined with AI-enabled automation operators can optimize facilities more rapidly than before.
This initiative aligns with NVIDIA’s recently announced Omniverse DSX Blueprint aimed at setting standards for multi-generation gigawatt-scale AI factory developments that emphasize accelerated computing performance alongside energy-efficient cooling solutions. The two firms are also working together on improving GPU manufacturing processes as well as optimizing data center infrastructure.
Their joint efforts support rapid deployment of new AI factories; flexible reconfiguration for GPU upgrades; advanced power/cooling optimization; proactive threat response; enhanced energy efficiency; and improved supply chain resilience.
Further details about this partnership can be found on NVIDIA’s official blog where they discuss how collaborations like this drive reindustrialization efforts using physical AI technologies.
