Siemens has unveiled new AI solutions at its Electronics Factory in Erlangen, Germany, marking a new milestone in its partnership with NVIDIA to advance AI-driven, autonomous manufacturing. The applications that are currently unique in the manufacturing industry use AI and digital twins to accelerate production ramp-up and enable more adaptive production planning. Both companies announced at CES in Las Vegas in January 2026 that they would build the world’s first fully AI-powered manufacturing sites. Since then, both companies have been co-developing and testing applications in live production at the Erlangen plant.
Yes, brownfield environments are an important use case for Siemens and NVIDIA’s joint offerings. With our digital twin technology, manufacturers can create photorealistic, AI-enhanced models of their existing facilities to simulate, optimize, and manage operations. And with a comprehensive digital twin that includes power, thermal, orchestration, and data management, even AI factory operators can adapt and incorporate the latest technologies without the time and expense of replacing legacy infrastructure.
AI factories are next-generation data centers built specifically for the demands of AI workloads. Far more than computing centers, AI factories produce intelligence, much like traditional factories produce goods. This requires high-density power, advanced cooling systems, and tightly optimized operations to run AI at extraordinary speed and global scale. Turning raw data into real-time insights, AI factories enable organizations across industries to fully realize AI’s potential.
Siemens today announced significant advances in its collaboration with NVIDIA to accelerate computational lithography workflows. By integrating NVIDIA cuLitho, a CUDA-X library for GPU-accelerated computational lithography, with Calibre® manufacturing software, Siemens is enabling semiconductor manufacturers to overcome the runtime-limited challenges of advanced patterning, making next-generation AI semiconductors a manufacturing reality.
By running Siemens’ Electronic Design Automation (EDA) tools, along with the agentic capabilities of Fuse, on NVIDIA GPUs, we significantly accelerate the development of those very GPUs. We are also integrating NVIDIA CUDA-X libraries, Physics NeMo, and Nemotron into our EDA stack to enable AI-native chip design, verification, and manufacturing readiness. The result: shorter design cycles, greater yields, and more reliable outcomes.
Running Siemens’ design and simulation portfolio on NVIDIA’s GPUs shortens design cycles, accelerates complex simulations, and improves yield while reducing energy consumption. And by layering an AI brain on top of industrial software and software-defined automation, we enable AI-driven adaptive manufacturing, where digital twins can be continually optimized and validated insights can be translated into real-world changes.
Siemens and NVIDIA use our respective offerings to accelerate and optimize each other’s operations, acting as a mutual customer zero. After demonstrating concrete proof of impact and scalability, we bring those offerings to our customers across industries. Among the innovations we’re working toward: autonomous digital twins that deliver real-time engineering and optimization without human intervention.
As AI workloads grow, data centers are evolving into AI factories – where power, automation, and digital infrastructure must work together seamlessly to deliver performance, efficiency, and resiliency. We are co-creating the reference architecture for gigawatt-scale AI infrastructure, maximizing tokens per watt and setting the standard for how AI is powered, automated, and deployed globally.
As AI workloads place unprecedented demand on data centers, Siemens and NVIDIA have teamed up to develop the next generation of AI infrastructure. Together with our partners, we are engineering integrated systems from the chip to the rack, from the building to the grid. We are enabling high-efficiency, gigawatt-scale AI factories that operate reliably in real-world conditions.
As part of their long-standing strategic partnership, NVIDIA and Siemens have mastered a task previously considered impossible, capturing tens of trillions of cycles over a span of just a few days by taking advantage of Siemens’ Veloce proFPGA CS scalable and performance-optimized hardware architecture and combining it with NVIDIA’s performance-optimized chip architecture.
官网：https://www.siemens.com/en-gb/company/artificial-intelligence/siemens-nvidia-partnership/
资料来源：企业官网公司介绍页面（复核日期：2026-10-29）。