How do DDN and NVIDIA boost AI factories?

On June 1 2026, the California based technology company, DDN, announced new advancements to its AI data intelligence platform, as NVIDIA introduced its latest AI infrastructure innovations at GTC Taipei.

DDN said that the revamped AI data intelligence platform is designed to help enterprises with faster agentic AI deployment, governance and security strengthening, reduction of operational complexity and GPU efficiency maximization across enterprise-scale AI factories.

As the world's largest privately held data storage company, highly specialized in AI and High-Performance Computing (HPC), DDN powers some of the world’s largest AI factories, sovereign AI deployments, hyperscalers, and enterprise AI environments supporting millions of GPUs globally.

“AI factories are becoming autonomous production environments where business outcomes depend on secure, real-time access to data. DDN helps organizations deploy agentic AI faster, maximize GPU efficiency, strengthen governance, and improve the economic return of their AI investments,”said Alex Bouzari, Co-Founder and CEO at DDN.

DDN’s new innovations deliver real-time observability, policy oriented control, multi-tenant isolation secure, and AI-native data orchestration with large-scale training optimization and autonomous AI workloads. The company claimed that these innovations help organizations move from pilot to production, improving their performance and ROI.

According to the company, the AI data intelligence platform helps organizations run secure AI factories by combining fast data routing, strict governance, and real-time data services optimized for everything from training and RAG pipelines to autonomous AI environments.

NVIDIA’s product release - A Jigsaw Fit

The company's AI data intelligence platform, is powered by NVIDIA accelerated computing and AI, and the announcement of the updates aligns with NVIDIA’s new AI infrastructure innovations, introduced at GTC Taipei, including NVIDIA Vera BlueField-4 STX architecture and NVIDIA DOCA security framework.

“Combining NVIDIA Vera BlueField-4 STX architecture and NVIDIA DOCA security frameworks with DDN’s AI-native data intelligence platform enables enterprises to operationalize secure, scalable AI factories for training and inference at scale,” said Jason Hardy, vice president of storage technology, NVIDIA.

NVIDIA Vera BlueField-4 STX architecture, features software frameworks and microservices like NVIDIA DOCA Argus, DOCA Vault, and DOCA Flow, which introduces a modular AI-native storage framework designed to support the performance, scalability, memory observability, zero trust controls, and security requirements of enterprise AI factories, DDN said. By blending fast computing, high-speed networking, and built-in security, this platform creates a safe-by-design infrastructure built specifically for autonomous AI agents, the company added.

The announcement highlights industry shift toward infrastructure-level AI security, where security is built directly into the data pathways rather than just on individual computers. Using NVIDIA’s new tools, the system can block threats instantly, monitor data in real time, and protect AI models across the entire corporate network.

“Agentic AI fundamentally changes the operational and security requirements of enterprise infrastructure,” said Sven Oehme, CTO at DDN.

DDN and NVIDIA have been collaborating since 2016 to build high-performance data infrastructure specifically optimized for GPU-accelerated computing. They have also partnered to drive progress in powering world-class supercomputers. Over the years, the joint engineering focus has been on maximizing GPU utilization and eliminating data bottlenecks.