NTT DATA introduces enterprise AI factory model built on NVIDIA infrastructure

NTT DATA has introduced a new enterprise AI factory initiative designed to help organisations scale artificial intelligence deployments while managing the operational complexity of production systems. The approach combines infrastructure, software and governance frameworks intended to support enterprises moving from experimentation to production AI.

The initiative centres on NVIDIA-powered AI factories that integrate computing infrastructure, networking and enterprise software with domain-specific workflows. According to the company, the model aims to provide a repeatable framework for organisations deploying AI across operational environments.

Enterprise AI factories target production-scale deployment

The enterprise AI factory architecture is designed as a full-stack platform that integrates data pipelines, infrastructure and governance layers into a single operational model. NTT DATA positions the approach as a structured environment for enterprises managing the full lifecycle of AI systems.

The platform combines GPU-accelerated computing with high-performance networking and enterprise AI software. This infrastructure is designed to support model training, inference and application development across cloud, data centre and edge environments.

NTT DATA describes the AI factories as automated ecosystems capable of scaling AI workloads while maintaining consistent deployment across different infrastructure environments. The goal is to improve operational efficiency and enable organisations to measure return on investment from enterprise AI deployments.

“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,” said Abhijit Dubey, CEO, NTT DATA, Inc. “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.”

Industry deployments highlight sector-specific AI use cases

NTT DATA outlined several early deployments across healthcare and manufacturing sectors that demonstrate how the AI factory model is applied in real-world environments. These implementations focus on domain-specific workloads that require high-performance AI infrastructure.

In healthcare, a cancer research hospital is working with NTT DATA and Dell to apply NVIDIA HGX platforms for radiology analysis and model evaluation. The infrastructure supports clinical research workflows and diagnostic analysis.

Manufacturing deployments include a global automotive supplier using GPU as a Service powered by NVIDIA AI infrastructure to modernise smart factory systems. According to NTT DATA, the approach reduced production setup time from months to days by validating workloads on bare metal before scaling through an AI-factory architecture.

Another manufacturing project involves a U.S.-based company modelling a next-generation battery production line using NVIDIA-accelerated simulation and 3D visualisation. The simulation environment allows manufacturers to test production scenarios before physical deployment, reducing commissioning risks and improving production throughput.

Integration of NVIDIA NeMo and NIM microservices expands AI platform

NTT DATA also expanded its AI platform by integrating NVIDIA NeMo and NVIDIA NIM microservices. These components provide software tools for building and deploying enterprise-scale AI systems on GPU-accelerated infrastructure.

NVIDIA NeMo is designed as a modular software suite for building and managing agentic AI systems, while NIM microservices provide containerised AI services that can be deployed using standard APIs. Together they form part of a full-stack AI platform intended to simplify enterprise adoption of AI applications.

“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,” said Yutaka Sasaki, President and CEO, NTT DATA Group. “Embedding NVIDIA technologies into our platforms accelerates innovation while giving clients the performance, control and compliance they require.”

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

NTT DATA said its position across NVIDIA’s Solution Provider, Cloud Partner and Global System Integrator partner programmes enables it to deliver integrated AI services ranging from advisory and deployment to operational support. The company positions this ecosystem access as a foundation for delivering end-to-end enterprise AI solutions.