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Nvidia (NASDAQ:NVDA) said it is building the world’s first industrial AI cloud for European manufacturers.
The Germany-based AI factory will feature 10,000 GPUs, including through Nvidia DGX B200 systems and Nvidia RTX PRO Servers, and run Nvidia CUDA-X libraries, Nvidia RTX and Nvidia Omniverse —accelerated workloads from software providers such as Siemens (OTCPK:SIEGY) (OTCPK:SMAWF), Ansys (NASDAQ:ANSS), Cadence (NASDAQ:CDNS) and Rescale.
It will enable Europe’s industrial companies to accelerate every manufacturing application, from design, engineering and simulation to factory digital twins and robotics.
In addition, Nvidia announced that European manufacturers including BMW Group, Maserati, Mercedes-Benz and Schaeffler are transforming their end-to-end product lifecycles — from simulated product design and factory planning to AI-driven operations and logistics — by running Nvidia-accelerated applications from software leaders such as Ansys, Cadence, and Siemens (OTCPK:SIEGY) (OTCPK:SMAWF).
“By building Europe’s first industrial AI infrastructure, we’re enabling the region’s leading industrial companies to advance simulation-first, AI-driven manufacturing,” said Nvidia’s Founder and CEO Jensen Huang.
Nvidia said the AI factory will be built following the framework highlighted in the Nvidia Omniverse Blueprint for AI factory design and operations. As part of the blueprint, Cadence’s Reality Digital Twin Platform will be used to simulate and optimize the entire AI factory in a physically accurate virtual environment, enabling the engineering teams to build a smarter, more reliable facility.
Earlier today, Huang spoke at the GTC Paris at VivaTech and shared what’s next in AI factories, agentic AI, and physical AI and how they’ll power the new industrial revolution.
Also announced at GTC Paris, was that software vendors such as Ansys, Cadence and Siemens are accelerating their product portfolios using Nvidia AI-physics technologies, Nvidia CUDA-X libraries, Nvidia Grace Blackwell systems and the Nvidia Omniverse platform.
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