NTT DATA Opens AI Factory at Munich Data Center in Germany

The official opening of the NTT DATA AI Factory Munich took place on 7 October 2026 in Munich, with Bavaria's Minister for Digital Affairs, Dr. Fabian Mehring, joining Anne-Sophie Lotgering of NTT DATA to inaugurate the facility.

Opening Ceremony Draws Bavarian Officials and Industry Demonstrations

Representatives of NTT DATA and the Bavarian State Ministry for Digital Affairs photographed at the event included Michael Seiger, Anne-Sophie Lotgering, Dr. Fabian Mehring, Graham Clarke, and Günter Eggers.

Attendees at the ceremony, including client CxOs, saw demonstrations covering orchestration, sovereignty, and data-residency controls, along with showcases of client-specific use cases drawn from banking, manufacturing, and healthcare.

Clients will subsequently be able to bring their own use cases to the facility and test them alongside the NTT DATA team in real-world conditions.

Testing AI Where It Will Actually Run

What distinguishes the AI Factory Munich from a conventional demonstration or innovation lab, according to NTT DATA, is its location: the facility operates inside NTT Global Data Centers' Munich 2 Data Center, an environment that is live and production-grade.

Clients can therefore evaluate their AI workloads against the same infrastructure, security, data, governance, and operational conditions they would face in production, rather than watching staged presentations.

The company states the facility's purpose is to let organisations test AI they own and control against their own use cases before committing investment and to move AI from pilots into production within a live environment.

Access is available to enterprise and public sector organisations by appointment, arranged through an NTT DATA account team or the company's website. The Munich site also forms part of NTT DATA's global network of client resources for exploring, developing, and deploying advanced technologies.

Addressing the Gap Between Pilot and Enterprise Scale

NTT DATA frames the facility as an answer to a common bottleneck in enterprise AI, where deployments frequently stall between a successful pilot and enterprise-scale production that delivers value.

Closing that gap, the company says, requires capabilities spanning consulting, infrastructure, AI platforms, managed services, data centers and a global partner ecosystem, all of which are brought together at the Munich site.

Partner Technologies on Site

Two named technology partners are actively involved in the facility. NVIDIA contributes an accelerated computing platform comprising NVIDIA Blackwell GPUs, NVIDIA Spectrum-X Ethernet networking, and NVIDIA AI Enterprise software while Dell Technologies supplies the full-stack AI foundation, including AI-optimized servers and storage, along with services delivered through the Dell AI Factory with NVIDIA.

David Hogan, Vice President, Enterprise EMEA at NVIDIA, said that moving enterprise AI from pilots to production requires a full-stack AI factory built for the performance and scalability demands of AI.

He noted that combining NVIDIA accelerated computing, networking, and NVIDIA AI Enterprise software with NTT DATA's enterprise AI and data center expertise gives organisations a real-world environment in which to validate AI workloads, measure performance, and build a path to production.

Adrian McDonald, President, Dell Technologies EMEA, highlighted the sovereign dimension of the offering. He described sovereign, production-grade AI infrastructure as the foundation enterprises need to move from AI ambition to results while aligning with local regulatory frameworks.

According to McDonald, the NTT DATA AI Factory Munich combines the Dell AI Factory with NVIDIA, Dell infrastructure and services, with NVIDIA accelerated computing and NTT DATA's enterprise AI, data center and services expertise, providing a scalable, production-grade environment to test workloads, assess performance, governance, and data-residency requirements, and build a confident route to deployment at scale.

Vendor and Analyst Views on What Enterprises Now Want

Graham Clarke, Managing Director, Global Private & Sovereign AI at NTT DATA, Inc., put the value proposition bluntly. "Every leader I speak to wants AI they own, control, and trust," he said, adding that clients can run their own applications and data in a production data center on their terms before committing to deployment. "It's the difference between a slide and a decision," Clarke said.

Independent context came from Chris Barnard, Vice President, Networking and Infrastructure Services at IDC, who spoke at the opening. IDC's research, he said, indicates that as organisations shift AI from pilots into production, their questions are moving away from access to compute and toward ownership, control, and operational maturity.

Enterprises and public sector bodies increasingly want AI capability they can run within their own governance and jurisdictional boundaries, according to Barnard, and the hardest problems now concern integration, lifecycle management and operating these platforms at scale rather than the underlying technology.

Facilities that let organisations observe a complete, production-grade stack in operation and validate it against their own use cases, he noted, shorten the path from intent to measurable outcomes.

NTT DATA's Broader Position

NTT DATA describes itself as a global leader in AI, digital business and technology services, with revenues exceeding USD 30 billion and a client base that includes 75% of the Fortune Global 100.

The company says it is among the world's leading AI and digital infrastructure providers, with capabilities spanning enterprise-scale AI, cloud, security, connectivity, data centers and application services.

It states a commitment to responsible innovation and counts itself as a Global Top Employer, with consulting and industry solutions intended to help organisations and society move confidently and sustainably into the digital future.