Siemens and NVIDIA Unveil Industrial AI Operating System Paving the Way for AI-Driven Factories
At CES 2026, Siemens and NVIDIA announced an expanded partnership aimed at transforming industrial manufacturing through artificial intelligence. Building on years of collaboration, the companies introduced the Industrial AI Operating System, a platform designed to accelerate innovation and optimize operations across the full lifecycle of products and production.
The Industrial AI Operating System will leverage NVIDIA’s advanced AI and high-performance computing capabilities alongside Siemens’ expertise in industrial automation and digital twins. The goal: enable faster design iterations, continuous process optimization, and more resilient, sustainable manufacturing workflows. By embedding AI at every stage—from engineering and simulation to production and quality control—manufacturers can achieve unprecedented levels of operational efficiency.
A cornerstone of this initiative is the development of the world’s first fully AI-driven, adaptive manufacturing sites, starting with the Siemens Electronics Factory in Erlangen, Germany. This facility will serve as a blueprint for global deployment, integrating AI-powered systems to autonomously monitor and adjust production lines, optimize energy consumption, and ensure consistent product quality.
For metrology and quality control, the implications are profound. Traditional inspection workflows often rely on discrete measurements and manual analysis. By integrating AI into measurement systems, factories can shift from reactive to predictive quality assurance. Real-time data from sensors, coordinate measuring machines (CMMs), and inline inspection tools can feed AI models to detect anomalies, predict maintenance needs, and adapt production parameters dynamically, significantly reducing scrap rates and downtime.
Moreover, the Industrial AI Operating System promises tighter integration between digital twins and physical processes. High-fidelity virtual models of products and manufacturing lines will allow engineers to simulate, validate, and optimize operations before implementing changes on the shop floor. When paired with AI-driven metrology, this creates a feedback loop where measurement data continuously refines both the digital twin and production processes.
“This collaboration represents a major step toward the factory of the future,” said a Siemens spokesperson. “By embedding AI across design, engineering, and production, we can accelerate innovation cycles, improve operational reliability, and reduce environmental impact.”
As manufacturing increasingly embraces AI-driven automation, Siemens and NVIDIA are positioning themselves at the forefront of a new paradigm – adaptive factories where intelligence is built into every process, from design to delivery. For the metrology community, this shift signals a move toward continuous, data-driven precision, transforming how quality is defined and maintained in the age of smart manufacturing.
For more information: www.sw.siemens.com
