CHATSWORTH, Calif.– AI and data intelligence vendor DDN today announced the NVIDIA AI Data Platform reference design, built in collaboration with NVIDIA to support organizations’ generative AI strategies by simplifying how unstructured data is stored, accessed and activated.
With more than 90 of new data being unstructured — from documents and videos to code and conversations — organizations are sitting on a goldmine of insights. But DDN said traditional systems weren’t designed to support the speed, scale and intelligence that AI now demands.
The DDN-NVIDIA offering is designed to address this by combining DDN Infinia, an AI-native data platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Edition GPUs, and NVIDIA Networking. This enables enterprises to deploy Retrieval-Augmented Generation (RAG) pipelines and intelligent AI applications grounded in their own proprietary data—securely, efficiently, and at scale, DDN said.
“In the age of agentic AI platforms and scalable AI factories, enterprises must fundamentally reimagine their relationship with data. It’s no longer just about storing information—it’s about activating it. Data has become the fuel, the fabric, and the foundation of competitive advantage,” the company said in its announcement.
“At DDN, we are not just keeping pace with this transformation—we’re defining it,” said Santosh Erram, Global Head of Partnerships—NVIDIA and Hyperscaler, at DDN. “If your data infrastructure isn’t purpose-built for AI, then your AI strategy is already at risk. DDN is where data meets intelligence, and where the future of enterprise AI is being built.”
“Intelligent storage is key to transforming enterprise data into real-time intelligence for agentic AI reasoning,” said Pat Lee, vice president, Enterprise Strategic Partnerships at NVIDIA. “Together, DDN and NVIDIA are building storage systems with accelerated computing, networking, and software to drive AI applications that can automate operations and amplify people’s productivity.”
Across industries—from finance and healthcare to telecom and manufacturing—organizations using DDN and NVIDIA solutions are realizing transformative results:
Accelerated decision-making through conversational access to internal knowledge
Enhanced customer engagement with domain-specific chatbots and digital assistants
Lower total cost of ownership by reducing infrastructure sprawl and maximizing AI throughput
Stronger data governance through on-prem, hybrid, or sovereign deployment models
Leading AI adopters are no longer just running pilots—they are building AI factories: repeatable, scalable pipelines that turn data into decisions. This next phase of enterprise AI requires a new foundation—one where storage is intelligent, high-performance, and seamlessly connected to AI pipelines.
“AI has changed the rules—and DDN is redefining what enterprise data infrastructure must look like,” said Sven Oehme, CTO and President at DDN. “Our work with NVIDIA accelerates time-to-value and allows enterprises to move faster and smarter in the AI economy.”
