[AI]NTT DATA and NVIDIA bring enterprise AI factories to production scale

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NTT DATA has announced an initiative to deliver NVIDIA-powered platforms designed to give organisations a repeatable, production-ready model for scaling AI.

The

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integrates NVIDIA’s GPU-accelerated computing and high-performance networking with NVIDIA AI Enterprise software, including NeMo and NIM Microservices, into a full-stack agentic AI platform that can be deployed in cloud and edge environments. The architecture covers the full AI lifecycle of model training and enterprise application development inside a governed framework.

Abhijit Dubey, CEO of NTT DATA said there is a change in how enterprises approach AI deployment. “By integrating NVIDIA technologies into our enterprise AI factories, we’re giving clients a powerful and secure environment to adopt agentic AI with measurable returns from the start.”

NTT DATA says the enterprise AI factory model addresses a gap that has stalled many AI programmes: the distance between a successful pilot and a production system that runs. The platform is designed to standardise output and reduce the time and cost of moving from proof-of-concept to operational deployment.

Real-world deployments

Three early-adopter cases give a clearer picture of enterprise AI factories. A leading *******-research hospital is using NVIDIA HGX platforms, with NTT DATA and Dell, for advanced radiology analysis and rapid model evaluation to support clinical research workflows.

In automotive manufacturing, a global supplier has reduced production setup time by validating workloads on bare metal before scaling through an AI factory architecture on NVIDIA infrastructure. A third deployment, in technology manufacturing, involves a US-based company using NVIDIA-accelerated simulation and 3D visualisation to validate a next-generation battery production line before physical deployment.

NTT DATA is positioning enterprise AI factories as a domain-specific delivery model, with the NVIDIA stack serving as the common infrastructure underneath sector-by-sector customisation.

NeMo and NIM in an AI factory stack

The technical integration comprises of two NVIDIA components. NVIDIA NeMo is a suite for building agentic AI systems on GPU-accelerated infrastructure. NVIDIA NIM Microservices provide pre-built, GPU-optimised containers with APIs for deploying AI applications. Together, they form what NTT DATA describes as a full-stack, production-ready AI agent platform.

NTT DATA also offers pre-qualified GenAI prototypes built on this stack, which it says reduces complexity and accelerates time to value for clients building sector-specific applications.

John Fanelli, Vice President of Enterprise Software at NVIDIA, said: “Enterprises are now seeking robust, scalable platforms that can successfully transition their AI initiatives from pilot projects to full-scale production.” He said NTT DATA’s AI factory offerings provide clients with domain-specific solutions needed to achieve production-grade enterprise AI.

NTT DATA describes itself as the only global IT services provider active in all three of NVIDIA’s partner tracks: Solution Provider, Cloud Partner, and Global System Integrator Partner Network.

The recent announcement comes as enterprises face rising pressure to show financial returns on AI spending. Governance and domain-specific performance are now the criteria by which enterprise AI investments are judged, and the AI factory model is an attempt to make all three more systematic.

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