NTT DATA and NVIDIA bring enterprise AI factories to production scale

NTT DATA has introduced an initiative to ship NVIDIA-powered platforms designed to give organisations a repeatable, production-ready mannequin for scaling AI.

The offering integrates NVIDIA’s GPU-accelerated computing and high-performance networking with NVIDIA AI Enterprise software program, together with NeMo and NIM Microservices, right into a full-stack agentic AI platform that may be deployed in cloud and edge environments. The structure covers the complete AI lifecycle of mannequin coaching and enterprise utility growth inside a ruled framework.

Abhijit Dubey, CEO of NTT DATA mentioned there’s a change in how enterprises strategy AI deployment. “By integrating NVIDIA applied sciences into our enterprise AI factories, we’re giving shoppers a strong and safe atmosphere to undertake agentic AI with measurable returns from the beginning.”

NTT DATA says the enterprise AI manufacturing unit mannequin addresses a niche that has stalled many AI programmes: the gap between a profitable pilot and a production system that runs. The platform is designed to standardise output and scale back the time and price of shifting from proof-of-concept to operational deployment.

Real-world deployments

Three early-adopter circumstances give a clearer image of enterprise AI factories. A number one cancer-research hospital is utilizing NVIDIA HGX platforms, with NTT DATA and Dell, for superior radiology evaluation and speedy mannequin analysis to help scientific analysis workflows.

In automotive manufacturing, a world provider has diminished production setup time by validating workloads on naked metallic earlier than scaling by an AI manufacturing unit structure on NVIDIA infrastructure. A 3rd deployment, in know-how manufacturing, includes a US-based firm utilizing NVIDIA-accelerated simulation and 3D visualisation to validate a next-generation battery production line earlier than bodily deployment.

NTT DATA is positioning enterprise AI factories as a domain-specific supply mannequin, with the NVIDIA stack serving because the widespread infrastructure beneath sector-by-sector customisation.

NeMo and NIM in an AI manufacturing unit stack

The technical integration contains of two NVIDIA elements. NVIDIA NeMo is a set for constructing agentic AI programs on GPU-accelerated infrastructure. NVIDIA NIM Microservices present pre-built, GPU-optimised containers with APIs for deploying AI purposes. Together, they type what NTT DATA describes as a full-stack, production-ready AI agent platform.

NTT DATA additionally gives pre-qualified GenAI prototypes constructed on this stack, which it says reduces complexity and accelerates time to worth for shoppers constructing sector-specific purposes.

John Fanelli, Vice President of Enterprise Software at NVIDIA, mentioned: “Enterprises are actually in search of strong, scalable platforms that may efficiently transition their AI initiatives from pilot initiatives to full-scale production.” He mentioned NTT DATA’s AI manufacturing unit choices present shoppers with domain-specific options wanted to obtain production-grade enterprise AI.

NTT DATA describes itself as the one world IT companies supplier energetic in all three of NVIDIA’s associate tracks: Solution Provider, Cloud Partner, and Global System Integrator Partner Network.

The current announcement comes as enterprises face rising stress to present monetary returns on AI spending. Governance and domain-specific efficiency are actually the standards by which enterprise AI investments are judged, and the AI manufacturing unit mannequin is an try to make all three extra systematic.

See additionally: Physical AI is having its moment – and everyone wants a piece of it

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