Cadence Unveils Europe's First Sovereign AI Platform for Semiconductor, System and AI Factory Design in Collaboration with NVIDIA

Paul Scannell, Senior Vice President of the Global Customer Success Team at Cadence

“Europe's semiconductor and system design community requires secure infrastructure that enables innovation without compromising data sovereignty”

Paul Scannell, Senior Vice President of the Global Customer Success Team at Cadence

“By combining NVIDIA Vera and Grace CPU platforms with the Cadence Millennium M2000 Supercomputer and making these capabilities available through Cadence OnCloud, we are providing European engineering teams with the compute, design intelligence and flexibility needed to build the next generation of AI-driven chips and systems.”

Tim Costa, Vice President and General Manager of Industrial and Computational Engineering at NVIDIA

“Chip designs and AI infrastructure are strategic assets for European industry, and sovereignty means being able to develop both while protecting the data behind them.”

Tim Costa, Vice President and General Manager of Industrial and Computational Engineering at NVIDIA

“With Cadence, we're bringing NVIDIA accelerated computing into European cloud-based design workflows and Omniverse libraries into AI factory simulation. Companies can design the silicon and validate the infrastructure to run it—from power delivery to cooling—within a European environment built to protect their design data.”

Viktor Petik, Senior Vice President, Infrastructure Solutions at Vertiv

“The Cadence Reality Digital Twin Platform helps Vertiv evaluate and optimize modular AI infrastructure before deployment, giving our teams greater confidence in design decisions and reducing risk throughout the project lifecycle.”

Viktor Petik, Senior Vice President, Infrastructure Solutions at Vertiv

“Combined with NVIDIA-powered AI systems and NVIDIA Omniverse technologies, the platform helps accelerate decision-making and deployment, enabling customers to bring AI infrastructure online more efficiently.”

Pascal Lecoq, CTO and Director of Data Center Strategy Office of the CTO, HPE

“By standardizing on the Cadence Reality Digital Twin Platform for our HPE Data Center AI Mod POD solution, including deployments built on NVIDIA accelerated computing, we can reduce deployment risk, optimize infrastructure utilization and help customers maximize the performance and efficiency of their AI solutions throughout the facility lifecycle. The University of Bristol’s modular, direct-liquid-cooled infrastructure and NVIDIA accelerated computing are brought together to deploy highly energy-efficient sovereign AI capacity at speed and supports the UK's leadership in AI innovation. Cadence digital twins can build on this foundation by providing deeper insight into power, thermal, cooling, and operational performance from planning through operations.”

Eric Arbaretaz, CTO of Nation Data Center

“Our ambition is to provide sovereign and responsible digital infrastructure tailored to regional needs.”

Eric Arbaretaz, CTO of Nation Data Center

“With the Cadence Reality Digital Twin Platform, we can optimize power, cooling, and thermal performance before deployment. Cadence's validated DC Elements model for NVIDIA DGX SuperPOD with DGX GB200 systems infrastructure is particularly valuable, allowing us to accurately simulate high-density AI environments from the earliest design stages. This enables us to deliver high-performance, sustainable infrastructure tailored to our clients’ digital transformation needs.”