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    Home»Data Science»DDN Teams With NVIDIA on AI Data Platform Reference Design
    Data Science

    DDN Teams With NVIDIA on AI Data Platform Reference Design

    Team_AIBS NewsBy Team_AIBS NewsMay 20, 2025No Comments3 Mins Read
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    CHATSWORTH, Calif.– AI and knowledge intelligence vendor DDN right this moment introduced the NVIDIA AI Knowledge Platform reference design, in-built collaboration with NVIDIA to assist organizations’ generative AI methods by simplifying how unstructured knowledge is saved, accessed and activated.

    With greater than 90 of latest knowledge being unstructured — from paperwork and movies to code and conversations — organizations are sitting on a goldmine of insights. However DDN stated conventional methods weren’t designed to assist the velocity, scale and intelligence that AI now calls for.

    The DDN-NVIDIA providing is designed to deal with this by combining DDN Infinia, an AI-native knowledge platform, with NVIDIA NIM and NeMo Retriever microservices, NVIDIA RTX PRO 6000 Blackwell Server Version GPUs, and NVIDIA Networking. This permits enterprises to deploy Retrieval-Augmented Technology (RAG) pipelines and clever AI purposes grounded in their very own proprietary knowledge—securely, effectively, and at scale, DDN stated.

    “Within the age of agentic AI platforms and scalable AI factories, enterprises should essentially reimagine their relationship with knowledge. It’s not nearly storing info—it’s about activating it. Knowledge has change into the gasoline, the material, and the inspiration of aggressive benefit,” the corporate stated in its announcement.

    “At DDN, we aren’t simply conserving tempo with this transformation—we’re defining it,” stated Santosh Erram, International Head of Partnerships—NVIDIA and Hyperscaler, at DDN. “In case your knowledge infrastructure isn’t purpose-built for AI, then your AI technique is already in danger. DDN is the place knowledge meets intelligence, and the place the way forward for enterprise AI is being constructed.”

    “Clever storage is vital to reworking enterprise knowledge into real-time intelligence for agentic AI reasoning,” stated Pat Lee, vice chairman, Enterprise Strategic Partnerships at NVIDIA. “Collectively, DDN and NVIDIA are constructing storage methods with accelerated computing, networking, and software program to drive AI purposes that may automate operations and amplify individuals’s productiveness.”

    Throughout industries—from finance and healthcare to telecom and manufacturing—organizations utilizing DDN and NVIDIA options are realizing transformative outcomes:

    • Accelerated decision-making by way of conversational entry to inner data
    • Enhanced buyer engagement with domain-specific chatbots and digital assistants
    • Decrease whole price of possession by decreasing infrastructure sprawl and maximizing AI throughput
    • Stronger knowledge governance by way of on-prem, hybrid, or sovereign deployment fashions

    Main AI adopters are not simply operating pilots—they’re constructing AI factories: repeatable, scalable pipelines that flip knowledge into choices. This subsequent part of enterprise AI requires a brand new basis—one the place storage is clever, high-performance, and seamlessly linked to AI pipelines.

    “AI has modified the foundations—and DDN is redefining what enterprise knowledge infrastructure should appear to be,” stated Sven Oehme, CTO and President at DDN. “Our work with NVIDIA accelerates time-to-value and permits enterprises to maneuver quicker and smarter within the AI financial system.”





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