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Press Release22 October 2026Siemens AGMunich
Siemens and NVIDIA are advancing Industrial AI
“Industrial AI gives our customers a once-in-a-century opportunity to do what was never possible before,” said Roland Busch, President and CEO of Siemens. “Together with NVIDIA, we are building the Industrial AI Operating System, combining their accelerated computing and AI platforms with our leading hardware, software, industrial AI and data. This will help customers make products smarter, factories more productive and infrastructure more efficient – with the safety, security and reliability industry demands.”
“AI is
driving a new industrial revolution, transforming every industry and redefining
what we can build and how we build it,” said Jensen Huang, founder and CEO of
NVIDIA. “Together with Siemens, we are reinventing how chips are designed and
AI factories are built – and putting that intelligence to work in the physical
world, powering a new era of autonomous engineering and manufacturing.”
Designing the chips that enable AI
AI starts
with chips. To deliver more computing power faster, Siemens and NVIDIA have developed AI agents that automate complex chip
design tasks and verify their results using Siemens’ electronic design
automation (EDA) tools and NVIDIA AI infrastructure. The latest application
extends this work to electrical and thermal analysis.
As
chipmakers stack components to build more powerful chips, heat becomes harder
to manage and can limit performance. With Siemens’ AI-driven electrothermal
workflow, engineers can predict where heat will build up and how it will affect
a chip’s performance before manufacturing begins. AI agents plan and run the
analysis across multiple engineering tools within Siemens’ EDA software
portfolio. NVIDIA CUDA-X libraries accelerate the thermal simulation workflow,
helping engineers evaluate design alternatives faster. The workflow helps
engineers to set up multiple tools in under five minutes instead of several
days and enables 50 times more design exploration than manual methods.
Building the infrastructure powering AI
AI factories
turn data and energy into AI at scale. NVIDIA DSX defines the reference
architecture for the AI factory. As a leading data center infrastructure
provider, Siemens provides the electrical distribution, protection, automation
and controls to the NVIDIA DSX architecture – from the grid connection to the
AI rack – and the digital twin that customers use to design, build and operate
the facility as one system.
Siemens,
NVIDIA and ecosystem partners have introduced the NVIDIA DSX Vera Rubin
Reference Design for the U.S. and European markets. These repeatable
architectures translate NVIDIA DSX requirements into deployable power and
controls infrastructure, bringing together power, cooling and compute
requirements and adapting them to local standards to simplify planning,
construction and operation. Siemens and Delta co-designed prefabricated,
factory-tested electrical power modules that can reduce data-center time to
market by up to 50 percent.
Siemens’
physics-based digital twin, developed with NVIDIA and built using NVIDIA
Omniverse libraries, helps operators plan and optimize this infrastructure as
one system. Even before construction begins, the digital twin shows how a
facility will interact with the grid, where cooling could fall short and how
noise from continuously operating cooling equipment could affect neighbors.
Operators can identify and address potential bottlenecks, evaluate
infrastructure tradeoffs that affect tokens per watt, and test noise-reduction
measures before committing capital – helping them meet local requirements and
build community trust. The digital twin can also provide utilities with
additional visibility to inform grid-connection assessments. During operation,
connected telemetry and simulation can help operators identify opportunities to
improve cooling and electricity use.
Turning AI into real-world impact
Putting AI
to work in industry means helping engineers develop better products faster and
manufacturers run more resilient, efficient operations. To enable engineers to
test more designs before building prototypes, Siemens combines its Simcenter
simulation software with NVIDIA accelerated computing and NVIDIA CUDA-X
libraries to accelerate supported simulation workloads. The package can run
without an internet connection, keeping sensitive data on site. Simulations run
up to ten times faster. Simcenter PhysicsAI uses models trained on simulation
data to predict design performance up to 1,000 times faster than traditional
simulation; local AI agents further accelerate simulation tasks, reducing
manual effort and helping engineers iterate faster.
Siemens’
electronics factory in Erlangen serves as the blueprint for adaptive
manufacturing. Here, Siemens and NVIDIA have developed and piloted AI
applications that coordinate production tasks and prepare quality inspections.
Intelligence Center X and Siemens’ operations software bring together data and
workflows from enterprise resource planning (ERP) systems and the shop floor.
AI agents built with the NVIDIA Factory Operations Blueprint (FOX) use this information to
coordinate and optimize production planning, helping manufacturers adapt faster
to changing conditions and cut costs by up to 20 percent.
For
automated optical inspections, Process Preparation X uses Siemens’ Digital Twin
and NVIDIA Cosmos Data Factory to create training data, eliminating a critical
bottleneck in preparing quality inspections – the need to build physical
prototypes – and helping to shorten time to market by up to 40 percent.
Manufacturers
can also test production changes before implementing them. Digital Twin
Composer – built using NVIDIA Omniverse libraries – connects virtual factory
models to real operational data, and AI-powered factory scheduling allows teams
to optimize production based on component availability, equipment maintenance
and other variables. An initial customer deployment increased throughput by 20
percent. This implementation brings the NVIDIA Factory Operations Blueprint (FOX) to life through Siemens Intelligence Center X for
operations.
For this press release
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations. Further information is available on the Internet at www.siemens.com.