Deutsche Telekom and NVIDIA announce Industrial AI Cloud for Germany

Deutsche Telekom and NVIDIA unveiled an “Industrial AI Cloud” in Berlin, described as a sovereign, enterprise-grade platform planned to go live in early 2026. Built in German data centres and powered by up to 10,000 NVIDIA GPUs, the initiative is designed to support industrial digitalisation through AI training, simulation and deployment at scale. The platform is positioned for manufacturing, automotive and robotics workloads common across Europe’s engineering ecosystem, and because it promises European data residency and control.

What is in the stack

According to the partners, the Industrial AI Cloud combines Deutsche Telekom’s infrastructure and operations with NVIDIA’s AI Enterprise software and Omniverse for digital twins, alongside DGX B200 systems and RTX PRO Servers. The stated goal is to provide capacity for model training and inference, synthetic-data generation, factory simulation and predictive maintenance, as well as support for robotics platforms such as NVIDIA Isaac. Early customer access and contracts are expected from early 2026, which could help European engineering teams plan pilot deployments with clearer lead times.

In framing the rationale, Tim Höttges, Deutsche Telekom CEO, said: “We have to build a stack here in Germany which is enabling our industry to participate in this next-generation evolution of industrialization.” NVIDIA founder and CEO Jensen Huang added: “These computers, are the modern versions of factories. These are factories, just like factories of cars and all the industrial factories of Germany, these are factories of intelligence.”

Industrial use cases and partners

The companies highlight manufacturing use cases that potentially benefit from a sovereign cloud, for example, AI-driven simulation and digital twins to accelerate vehicle development, and model training on production data with data-residency controls. Event presentations referenced interest from Siemens, as well as automotive OEMs, and demonstrations from robotics firms such as Agile Robots and Wandelbots. Huang also argued that AI capability will become a second “factory” for manufacturers: “In the future, in industry 4.0, with AI, every company that’s a manufacturing company will have two factories, the factory for the car, and the factory for the AI that drives the car.”

Why it matters

For Europe-based engineering teams, the combination of on-shore infrastructure, high-end GPU capacity and digital-twin tooling could potentially cut iteration cycles for process optimisation, robotics validation and safety testing. The emphasis on a “sovereign” architecture may also help with regulatory alignment and sensitive data handling in industrial environments. As Huang put it, “[It] will turbocharge Industry 4.0. It’s going to be enormously important, and I think it’s going to be the beginning of a new phase of growth and innovation for Germany.” The industrial AI cloud could therefore serve as a strategic foundation for Europe’s broader shift toward AI-enabled manufacturing and digital engineering.