NTT DATA Launches NVIDIA-Powered Platforms to Scale AI for Enterprises
In a significant move towards advancing artificial intelligence (AI) in organizational frameworks, NTT DATA has announced a pioneering initiative aimed at delivering NVIDIA-powered platforms. This strategic offering is designed to provide organizations with a repeatable and production-ready model for effectively scaling AI capabilities.
The Power of NVIDIA’s Technology
At the heart of this initiative lies the integration of NVIDIA’s GPU-accelerated computing and high-performance networking with NVIDIA AI Enterprise software. Key components include NeMo for language model development and NIM Microservices, which feature pre-built, GPU-optimized containers that simplify the deployment of AI applications. All of this converges into a robust full-stack agentic AI platform that is versatile enough to be deployed in both cloud and edge environments.
According to Abhijit Dubey, CEO of NTT DATA, there is a definitive shift in how enterprises perceive and approach AI deployment. He emphasized, “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.”
Bridging the Gap in AI Deployment
One of the key challenges that have stalled many AI initiatives is the gap between successful pilot programs and fully operational production systems. NTT DATA’s innovative enterprise AI factory model is specifically designed to tackle this issue, standardizing output and significantly reducing the time and cost associated with transitioning from proof-of-concept to operational deployment. This structured approach aims to smooth the path for organizations eager to embrace AI at scale.
Insights from Real-World Deployments
Real-world applications provide a clearer perspective on how these enterprise AI factories are functioning. For instance, a leading cancer-research hospital is currently leveraging NVIDIA HGX platforms in collaboration with NTT DATA and Dell. This partnership focuses on advanced radiology analysis and rapid model evaluation, vital for supporting clinical research workflows.
In another noteworthy case, a global automotive supplier has successfully diminished production setup time. By validating workloads on bare metal before scaling, they’ve utilized the AI factory architecture powered by NVIDIA infrastructure to enhance their operational efficiency. Additionally, a technology manufacturing company in the U.S. is using NVIDIA-accelerated simulation and 3D visualization tools to validate its next-generation battery production line prior to physical deployment.
The Role of NeMo and NIM Microservices
The technical integration at the core of NTT DATA’s platform involves two critical NVIDIA components: NeMo and NIM Microservices. NeMo serves as a suite for building agentic AI systems on GPU-accelerated infrastructure, while NIM Microservices offer pre-built, GPU-optimized containers that come with APIs for straightforward deployment of AI applications. This powerful combination exemplifies the full-stack, production-ready AI agent platform envisioned by NTT DATA.
Moreover, NTT DATA has introduced pre-qualified Generative AI (GenAI) prototypes built on this formidable tech stack, aimed at reducing complexity and expediting value realization for clients developing sector-specific applications.
Industry Perspectives on AI Factory Model
John Fanelli, Vice President of Enterprise Software at NVIDIA, reinforced the growing demand for robust, scalable platforms that can support the transition of AI initiatives from pilot projects to large-scale production systems. He stated that “NTT DATA’s AI factory offerings provide clients with domain-specific solutions needed to achieve production-grade enterprise AI.” Such endorsements indicate a collective recognition of the importance of structured frameworks in enhancing AI deployment effectiveness.
NTT DATA’s Unique Positioning in the Market
NTT DATA distinguishes itself as a global IT service provider, actively engaging in all three of NVIDIA’s partner tracks: Solution Provider, Cloud Partner, and Global System Integrator Partner Network. This versatile involvement underscores NTT DATA’s commitment to pushing the envelope in AI technology adoption across various sectors.
This recent announcement arrives at a time when enterprises are feeling persistent pressure to demonstrate financial returns on their AI investments. As the criteria for successful AI endeavors increasingly revolve around governance and domain-specific performance, the emergent AI factory model endeavors to make operations more systematic and accountable.
See also: Physical AI is having its moment – and everyone wants a piece of it
Want to learn more about AI and big data from industry leaders? Check out AI & Big Data Expo taking place in Amsterdam, California, and London. The comprehensive event is part of TechEx and is co-located with other leading technology events; click here for more information.
AI News is powered by TechForge Media. Explore other upcoming enterprise technology events and webinars here.
Inspired by: Source

