Digital twins are shaping the industry of tomorrow
Siemens and NVIDIA are pooling their expertise in industrial AI, automation and simulation. Their new technology stack brings the real and digital factory worlds together and points the way to a scalable, energy-efficient era of manufacturing.
At the NVIDIA GTC in Washington, Siemens and NVIDIA presented a new type of AI-based system architecture that links the Siemens Xcelerator portfolio with the NVIDIA Omniverse platform. This “industrial tech stack” enables digital twins that visualize, simulate and optimize factories in real time. This creates a foundation for the industrial metaverse. A networked ecosystem that seamlessly brings together design, operation and energy supply.
The new solution dramatically accelerates planning and engineering processes. Factory layouts can be simulated and adapted in just a few hours instead of weeks. AI-driven workflows make data-based decisions and increase precision, efficiency and sustainability.
Chip-to-grid end-to-end industrial value creation
At the heart of the approach is the “chip-to-grid” value chain, which integrates semiconductor design, factory operation, energy supply and building technology. It ensures that power, cooling and computing power function as a unified system, whether for new buildings or existing modernizations. With the help of AI-based simulation, operators can optimize production facilities in months rather than years.
This integrated approach corresponds with the blueprint for “AI Factories” with gigawatt capacity. Together, the two companies are setting new standards for efficiency, scalability and energy intelligence in AI data centers and production facilities.
Industrial AI as a driver of innovation
With this cooperation, the two companies are underlining the global upheaval in manufacturing. Digital twins, AI automation and real-time simulation are becoming the basis for new industrial intelligence.
By merging planning, engineering, energy and building management into one platform, companies have a tool that streamlines complex processes, conserves resources and accelerates innovation. A clear step towards self-optimizing industrial environments.