NTT Data has unveiled a new enterprise AI factory offering powered by NVIDIA, with the company positioning it as a way for organisations to deploy AI more securely and at scale.
The new platform is designed to bring together infrastructure, data, workflows and governance into what NTT Data describes as a repeatable operating model for enterprise AI. The offering is intended to support the full AI lifecycle, from model training and inference through to application development and deployment across cloud, data centre and edge environments.
At the heart of the launch is the integration of NVIDIA AI infrastructure with NVIDIA AI Enterprise software, including NVIDIA NIM microservices. NTT Data has also expanded its AI portfolio through the integration of NVIDIA NeMo, which is designed to help enterprises build, customise and manage agentic AI systems on GPU-accelerated infrastructure.
The move reflects a broader shift in the enterprise AI market, where the challenge is no longer simply testing models, but turning those pilots into systems that can be deployed reliably in live environments. NTT Data is aiming this offer at businesses that want a more standardised route into production, particularly in sectors where governance, performance and compliance carry greater weight.
“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 of NTT Data. .
“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.”
The new enterprise AI factories are intended to be domain-specific, with early deployments already under way in healthcare and manufacturing.
In healthcare, the company said a cancer research hospital is working with NTT Data and Dell to use NVIDIA HGX platforms for radiology analysis and model evaluation in support of clinical research and diagnostic workflows.
In automotive manufacturing, NTT Data said a global supplier has used GPU as a Service built on NVIDIA AI infrastructure to support smart factory modernisation. According to the company, this helped reduce production setup time from months to days by allowing workloads to be validated on bare metal before being scaled through an AI factory architecture.
The company also pointed to a US-based advanced manufacturing business that is using NVIDIA-accelerated simulation and 3D visualisation to validate a next-generation battery production line before physical deployment. NTT Data said this work is intended to reduce commissioning risk, improve throughput and provide a platform for wider digital factory expansion.
NTT Data said its updated AI solutions now offer prequalified generative AI prototypes and platforms intended to reduce deployment complexity and standardise outputs. With the addition of NVIDIA NeMo and NIM microservices, it says customers will be able to build on a full-stack, production-ready AI agent platform.
“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.”
