The four facilities will also complement the Nvidia GPU cluster NTT brought online at its Munich 2 data center earlier this month. Dubbed the AI Factory Munich, that cluster allows customers to evaluate AI workloads against the infrastructure, security, data, governance, and operational requirements they will face in production. The expansion reflects a broader industry trend in which data center operators are racing to build dedicated AI environments that combine high-performance computing hardware with the networking and software stack needed to support demanding AI training and inference workloads.
"AI at scale is ultimately about turning intelligence into measurable business impact," said Dilip Kumar, president and global head of infrastructure solutions at NTT Data. "That requires organizations to balance innovation with responsibility and make informed choices about where AI creates value and how it can be deployed sustainably and economically. Our AI Factories help clients build that confidence before they scale."
The move positions NTT Data among a growing field of infrastructure providers competing to capture enterprise demand for AI-ready capacity. By establishing AI factories across multiple regions, the company aims to give multinational customers access to localized GPU resources that can support data sovereignty requirements and latency-sensitive applications, while also providing a testing ground for AI workloads before organizations make larger infrastructure commitments.
