NetApp Unlocks Exabytes of Enterprise Data for GenAI with NVIDIA
NetApp in collaboration with NVIDIA, today announced a groundbreaking advancement in generative AI applications, enabling secure and private data interaction across the hybrid multicloud. This partnership leverages NVIDIA NeMo Retriever microservices, a component of the NVIDIA AI Enterprise software platform, to unlock exabytes of data stored on NetApp’s intelligent data infrastructure. Enterprises now have the capability to securely “talk to their data,” accessing proprietary business insights without compromising data security or privacy. This innovation addresses the challenges enterprises face in leveraging large language models for internal applications, such as chatbots and co-pilots, without risking data exposure. NetApp and NVIDIA’s solution simplifies the process, allowing any data stored on NetApp ONTAP—whether on-premises or in the cloud—to be queried through simple prompts. This ensures that enterprises maintain control over their data while benefiting from AI-driven insights. “As the leader in unstructured data management, NetApp makes data infrastructure intelligent to securely turbocharge AI innovation,” said George Kurian, CEO at NetApp. “AI is defining a new data-driven era and NetApp and NVIDIA are at the forefront of ensuring success for customers as they adopt and deploy AI.” Jensen Huang, Founder and CEO at NVIDIA, emphasized the transformative potential of retrieval-augmented generation, stating, “Together, NVIDIA and NetApp can help enterprises build accurate, intelligent generative AI applications that let companies talk to their data — and foster a new wave of business opportunity.” This collaboration not only reduces the friction, cost, and time to value for enterprises but also complements NetApp’s robust portfolio of AI offerings. Over 500 joint customers have already leveraged these solutions for AI model training and inference. The “Talk to Your Data” capabilities were also showcased at NVIDIA GTC, highlighting the partnership’s commitment to driving AI innovation and data security for enterprises worldwide.
Over 500 joint customers have already leveraged these solutions for AI model training and inference.
Over 500 joint customers have already leveraged these solutions for AI model training and inference.
["enterprise ai", "netapp"]
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["AI", "generative AI", "RAG", "chatbots", "microservices", "R", "data-driven", "innovation", "programming_languages:R"]
Shyam is a tech journalist with expertise in policy and politics, and exhibits a fervent interest in scrutinising the convergence of AI and analytics in society. In his leisure time, he indulges in anime binges and mountain hikes.