Siemens partners with NVIDIA on digital twin tech stack for smarter factories

Siemens partners with NVIDIA on digital twin tech stack for smarter factories
Banking & Financial Services
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Rev Lebaredian, Vice President of Omniverse and Simulation Technology at NVIDIA | NVIDIA

Siemens and NVIDIA have announced the development of a new technology stack aimed at advancing artificial intelligence (AI) in manufacturing. The partnership seeks to support manufacturers as they adopt advanced technologies, enabling smarter and more energy-efficient factories.

The software, which is still under development, will form part of Siemens' forthcoming tech stack tailored for AI-driven manufacturing environments. It is designed to help manufacturers not only build but also continually optimize complex facilities by supporting planning, engineering, and operations with large-scale simulation and AI-driven workflows.

During a demonstration at NVIDIA’s GTC event, Siemens showed how the new system can assist customers throughout factory design and operational phases. One notable feature allows users to merge building infrastructure with production lines within a single engineering platform. This includes leveraging AI to simulate numerous factory layouts quickly, helping engineers identify the most efficient designs in hours instead of days or weeks. After layout selection, users can create photorealistic models that accurately represent physical properties.

The collaboration brings together Siemens’ expertise in industrial technology with NVIDIA’s capabilities in graphical processing technology. "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."

Rev Lebaredian, Vice President of Omniverse and Simulation Technology at NVIDIA stated: "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. 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 increasing complexity while seeking faster production cycles and improved energy use. The new tools aim to address these challenges by offering an integrated environment for creating digital twins—virtual representations that allow for rapid scenario testing before implementing changes on real production floors.

Siemens provides comprehensive solutions spanning from manufacturing processes through intelligent operations up to facility management systems like power supply or cooling infrastructure. This enables integration across all parts of what is often called chip-to-grid infrastructure value chains.

Simulation-based approaches combined with AI-enabled automation allow operators to optimize performance faster than traditional methods—potentially scaling or upgrading facilities within months rather than years.

The initiative aligns with NVIDIA's recent introduction of its Omniverse DSX Blueprint—a framework for building multi-generation gigawatt-scale AI factories emphasizing accelerated computing resources alongside energy-efficient cooling strategies.

Both companies are working together on GPU manufacturing improvements as well as optimizing data center infrastructures necessary for scalable industrial intelligence solutions.

By equipping partners involved in GPU or AI data centers—from electronic design automation through environmental controls—with these advanced tools from both companies:

- New facilities can come online more rapidly.

- Operations can be adapted efficiently for future upgrades.

- Power consumption and cooling requirements can be simulated in advance.

- Threats affecting uptime or supply chain stability can be anticipated proactively.

Through this joint effort between Siemens and NVIDIA NVIDIA and US Manufacturing Leaders Drive America’s Reindustrialization With Physical AI, both organizations aim to provide infrastructure that supports further advances in artificial intelligence while promoting innovation opportunities worldwide.