{"id":19614,"date":"2026-03-16T12:06:47","date_gmt":"2026-03-16T12:06:47","guid":{"rendered":"https:\/\/ideainthebox.com\/index.php\/2026\/03\/16\/ntt-data-nvidia-enterprise-ai-factories-production\/"},"modified":"2026-03-16T12:06:47","modified_gmt":"2026-03-16T12:06:47","slug":"ntt-data-nvidia-enterprise-ai-factories-production","status":"publish","type":"post","link":"https:\/\/ideainthebox.com\/index.php\/2026\/03\/16\/ntt-data-nvidia-enterprise-ai-factories-production\/","title":{"rendered":"NTT DATA and NVIDIA bring enterprise AI factories to production scale"},"content":{"rendered":"
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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.<\/p>\n

The offering<\/a> integrates NVIDIA\u2019s 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.<\/p>\n

Abhijit Dubey, CEO of NTT DATA said there is a change in how enterprises approach AI deployment. \u201cBy integrating NVIDIA technologies into our enterprise AI factories, we\u2019re giving clients a powerful and secure environment to adopt agentic AI with measurable returns from the start.\u201d<\/p>\n

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.<\/p>\n

Real-world deployments<\/h3>\n

Three early-adopter cases give a clearer picture of enterprise AI factories. A leading cancer-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.<\/p>\n

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.<\/p>\n

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.<\/p>\n

NeMo and NIM in an AI factory stack<\/h2>\n

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.<\/p>\n

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.<\/p>\n

John Fanelli, Vice President of Enterprise Software at NVIDIA, said: \u201cEnterprises are now seeking robust, scalable platforms that can successfully transition their AI initiatives from pilot projects to full-scale production.\u201d He said NTT DATA\u2019s AI factory offerings provide clients with domain-specific solutions needed to achieve production-grade enterprise AI.<\/p>\n

NTT DATA describes itself as the only global IT services provider active in all three of NVIDIA\u2019s partner tracks: Solution Provider, Cloud Partner, and Global System Integrator Partner Network.<\/p>\n

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.<\/p>\n

See also: Physical AI is having its moment \u2013 and everyone wants a piece of it<\/a><\/strong><\/p>\n

Want to learn more about AI and big data from industry leaders?<\/strong> Check out AI & Big Data Expo<\/a> taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx<\/a> and is co-located with other leading technology events, click here<\/a> for more information.<\/p>\n

AI News is powered by TechForge Media<\/a>. Explore other upcoming enterprise technology events and webinars here<\/a>.<\/p>\n

The post NTT DATA and NVIDIA bring enterprise AI factories to production scale<\/a> appeared first on AI News<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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