NTT DATA Expands AI Factory Network to Munich

The new facility provides a testing environment for enterprises to benchmark AI workloads against infrastructure requirements.

Updated on Oct. 27, 2026 in Data Centers

Isometric editorial illustration featuring modular metallic server cooling infrastructure, representing an enterprise AI testing environment.
NTT DATA opened a new AI Factory facility in Munich on October 7, 2026, to help enterprise clients benchmark performance metrics for AI workloads. AI Illustration. Upload story photo >

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NTT DATA expanded its global network of AI Factory facilities with the opening of a site in Munich on October 7, 2026. This facility joins an existing ecosystem of centers in Riyadh, Paris, Singapore, and Plano designed for enterprise AI testing.

Why it matters

Enterprise leaders increasingly require verified performance metrics and proof-of-concept validation before committing to large-scale AI investments. These facilities provide the necessary hardware environments to test workload efficiency against infrastructure and cost requirements.

The Munich facility is housed within the existing Munich 2 data center, expanding a network that includes infrastructure partners Cisco and NVIDIA. The site provides a controlled environment to benchmark AI workloads compared to prior manual or siloed testing methods.

The players

NTT DATA

A global IT services provider that operates infrastructure, data centers, and enterprise AI consulting services.

NVIDIA

A manufacturer of high-performance graphics processing units that serve as the primary compute engine for most enterprise AI workloads.

Cisco

A networking hardware company providing the foundational data center infrastructure required to support high-speed AI data traffic.

The details

The AI Factory sites provide hands-on environments where enterprises can conduct discovery workshops and technical deep dives to evaluate AI deployment. These centers facilitate proof-of-concept planning and solution design, allowing companies to test how specific workloads perform against infrastructure constraints and operational cost requirements before full-scale implementation.

Timeline

  1. September 2026: The Riyadh AI Factory launched.

  2. October 7, 2026: The Munich AI Factory launched.

The Tech Race

This network expansion follows a trend where IT service providers establish dedicated physical hubs to bridge the gap between AI model development and enterprise production. It positions NTT DATA alongside competing data center and cloud providers racing to offer verified performance environments for proprietary AI workloads.

Enterprise technical teams can now access regional testing facilities in Munich, Riyadh, Paris, Singapore, and Plano to validate AI projects. Organizations should expect to use these locations for proof-of-concept planning and cost-optimization workshops before deploying large-scale AI applications.

The takeaway

The expansion of physical AI factories indicates a transition from abstract software experimentation to rigorous, infrastructure-heavy testing in enterprise environments. IT leaders should track how these facilities influence hardware procurement decisions in upcoming fiscal quarters.

Further reading

Explore more developments in Data Centers to understand how infrastructure providers are scaling AI capacity.

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Do you trust that businesses are successfully balancing AI innovation with responsible, cost-effective deployment?