AI Magazine May 2026 Issue 42 | Page 102

SIEMENS: INDUSTRIAL AI AT THE EDGE AND ON-PREMISES

Siemens represents perhaps the most strategically sophisticated example of on-premises AI deployment in the industrial sector. With revenues of € 75.9bn in fiscal 2024 and operations spanning discrete manufacturing, process industries, infrastructure and mobility, the company has both the scale and the imperative to treat on-premises AI as a core engineering challenge rather than a technology experiment.

The company’ s Industrial Copilot ecosystem, showcased at CES 2025 and the Siemens AI with Purpose Summit, deploys AI directly onto the factory floor through its Industrial Edge platform, bringing large language model capabilities into production environments where latency, security and operational continuity make cloud dependency unacceptable. Siemens has also built on-premises AI into its EDA software portfolio for semiconductor and PCB design, offering customers the ability to deploy its AI system entirely within their own secure data centres, with enterprise-grade access controls and a multimodal data lake that improves model performance over time without exposing intellectual property externally.
The company partners with NVIDIA, deploying NIM microservices and Llama Nemotron reasoning models, while maintaining the flexibility for customers to run the full stack on private infrastructure.
Siemens is also developing its own modular data centre product line, alongside Cadolto DataCenter GmbH, and Legrand Data Center Solutions, debuted at Data Center World Frankfurt in June 2025. The product line is designed to deliver AI-ready compute capacity in factory-built, rapidly deployable units with approximately 30 % lower CO2 emissions than traditional facilities.
102 May 2026