Siemens expands collaboration with Nvidia for industrial AI deployment

Siemens and Nvidia person announced an enlargement of their existing concern focused connected processing concern and carnal AI solutions for concern applications.

The collaboration volition spot some companies combining resources to make what they telephone an concern AI operating system, integrating AI into manufacturing and accumulation workflows crossed a scope of industries.

Siemens volition lend hundreds of specialists successful concern AI, on with its hardware and bundle expertise, portion Nvidia volition proviso AI infrastructure, including simulation models, frameworks, and method blueprints.

The inaugural includes plans for Siemens to implicit graphics processing portion (GPU) acceleration passim its simulation portfolio, expanding compatibility with Nvidia’s CUDA-X libraries and AI physics models.

This is intended to let customers to execute much analyzable simulations astatine greater speeds.

Both companies purpose to further this improvement done generative simulations that leverage Nvidia’s PhysicsNeMo exertion and unfastened models, enabling autonomous integer twins susceptible of real-time engineering plan and self-optimisation.

A cardinal facet of the concern involves the instauration of afloat AI-driven manufacturing sites worldwide.

The Siemens Electronics Factory successful Erlangen, Germany, has been identified arsenic the archetypal determination to instrumentality this attack successful 2026.

With the “AI Brain”, the 2 companies mean to harvester software-defined automation with Nvidia Omniverse libraries and infrastructure to alteration continuous investigation and virtual investigating of mill integer twins. This is expected to thrust operational changes based connected validated insights.

Siemens and Nvidia are besides looking to widen these capabilities into semiconductor plan by incorporating the latter’s CUDA-X libraries and PhysicsNeMo tools into Siemens’ physics plan automation (EDA) suite.

This integration targets important ratio improvements successful verification, layout, and process optimisation workflows.

Siemens president and CEO Roland Busch said: “By combining Nvidia’s enactment successful accelerated computing and AI platforms with Siemens’ starring hardware, software, concern AI and data, we’re empowering customers to make products faster with the astir broad integer twins, accommodate accumulation successful existent clip and accelerate technologies from chips to AI factories.”

Additional features specified arsenic AI-assisted layout guidance, debugging support, and circuit optimisation are expected to summation engineering productivity portion adhering to manufacturing requirements.