NTT DATA introduced an enterprise AI infrastructure platform designed to help organizations deploy and operate large-scale AI workloads using accelerated computing systems and integrated data infrastructure.
The company said the platform combines compute infrastructure, data management tools, and AI development environments into an integrated system designed to support model development, training, and inference workloads. The architecture is intended to provide enterprises with access to infrastructure typically associated with hyperscale AI environments.
NTT DATA said the system is designed to help organizations manage the complexity associated with deploying AI workloads, including provisioning GPU infrastructure, managing training pipelines, and operating large data environments used to support AI applications.
Key Points
• NTT DATA introduces enterprise AI infrastructure platform
• Platform integrates compute, data infrastructure, and AI development tools
• Designed to support model training and inference workloads
• Architecture aimed at simplifying enterprise AI deployment
• Platform based on accelerated computing infrastructure
“Enterprises are increasingly looking for ways to deploy AI at scale while maintaining operational efficiency and governance,” said Abhijit Dubey, CEO of NTT DATA, Inc. “Our AI factory architecture provides the infrastructure foundation organizations need to build and operate advanced AI systems.”
🌐 Analysis
Many enterprises are seeking ways to deploy AI workloads without building the complex infrastructure environments used by hyperscale cloud providers. Platforms that combine compute, storage, and software tools into integrated systems are emerging as a way to simplify AI adoption.
These systems typically incorporate GPU clusters connected through high-performance switching fabrics designed to support distributed training environments. Data infrastructure also plays a central role because AI model development requires large datasets to be stored, processed, and transferred efficiently.
As enterprise adoption of AI accelerates, infrastructure platforms designed specifically for AI workloads are becoming an important segment of the broader data center infrastructure market.