NTT DATA: The NVIDIA Tech Behind its AI Data Centre Push

NTT DATA has introduced a new enterprise AI factory initiative built on NVIDIA infrastructure, designed to help organisations scale artificial intelligence workloads across cloud, data centre and edge environments.

The global technology services company says its AI factories combine compute infrastructure, data integration and operational workflows into a single platform for enterprise AI deployment. By integrating GPU-accelerated computing with software tools for model development and deployment, the company aims to provide organisations with a standardised approach to building and operating AI applications.

These environments are intended to support the full lifecycle of enterprise AI – from model training and testing through to inference and operational deployment.

Abhijit Dubey, CEO of NTT DATA. says: "Visionary enterprises are redesigning core workflows end to end with AI, and they need trusted partners working in unison to achieve transformative and measurable results.

“By integrating NVIDIA technologies into our enterprise AI factories, we’re giving clients a powerful, standardised and secure environment to adopt agentic AI with measurable returns from the start.”

Building AI infrastructure for enterprise workloads

At the centre of the initiative is the integration of NVIDIA’s AI infrastructure platform. This includes GPU-accelerated computing and high-performance networking designed to support demanding AI workloads.

The platform also incorporates NVIDIA AI Enterprise software, including NVIDIA NeMo and NVIDIA NIM microservices. These tools provide prebuilt containers and APIs that allow organisations to deploy AI applications across different environments while maintaining consistent performance and operational control.

NTT DATA says the approach allows companies to deploy AI capabilities across multiple locations, including on-premises data centres, public cloud platforms and edge infrastructure.

By combining these components into a single architecture, the enterprise AI factory model is designed to provide a repeatable operational framework for organisations moving AI projects from pilot stages into production.

From experimentation to production AI

Many organisations have begun experimenting with generative AI and advanced analytics but face challenges scaling those projects into operational environments.

NTT DATA says its AI factory approach aims to address this by providing a production-ready environment where infrastructure, data management and governance processes are integrated.

The company’s platform is designed to support high-throughput, low-latency AI workloads, enabling organisations to build and deploy models at scale while maintaining compliance and operational oversight.

“Organisations worldwide are moving from isolated model adoption to intelligent AI solutions and platforms, often complementing GenAI with agents that reason, act and adapt within enterprise systems,” explains Yutaka Sasaki, President and CEO of NTT DATA Group.

“Embedding NVIDIA technologies into our platforms accelerates innovation while giving clients the performance, control and compliance they require.”

Real-world deployments across industries

NTT DATA says early deployments of the AI factory architecture are already supporting projects across multiple industries.

In healthcare, the company is working with a cancer research hospital and Dell to deploy NVIDIA HGX systems for advanced radiology analysis. The infrastructure supports rapid model evaluation and helps researchers analyse imaging data used in diagnostic workflows.

In manufacturing, a global automotive supplier has partnered with NTT DATA to modernise its smart factory systems using GPU as a Service powered by NVIDIA AI infrastructure. According to the company, the platform reduced production set-up times from months to days by validating workloads on bare metal systems before scaling through an AI factory architecture.

Another project involves a US-based advanced manufacturing company using NVIDIA-accelerated simulation and 3D visualisation to test a next-generation battery production line. By modelling production processes digitally before physical deployment, the company can evaluate automation logic, material flows and operational scenarios while reducing commissioning risks.

Strengthening NVIDIA partnership

The launch of the enterprise AI factories builds on NTT DATA’s longstanding partnership with NVIDIA.

NTT DATA is active across several parts of NVIDIA’s partner ecosystem, including its Solution Provider, Cloud Partner and Global System Integrator Partner Network programmes. The company says this positioning allows it to deliver advisory services, infrastructure deployment and operational support around NVIDIA-powered AI platforms.

John Fanelli, Vice President of Enterprise Software at NVIDIA, adds: “Enterprises are now seeking robust, scalable platforms that can successfully transition their AI initiatives from pilot projects to full-scale production.

“NTT DATA’s AI factory offerings, built on the NVIDIA full-stack platform, provide clients with the domain-specific solutions needed to confidently achieve production-grade enterprise AI at scale.”