Generative AI offers practical, high-impact solutions. From crafting attractive content to summarizing vast datasets and providing insightful answers, GenAI helps organizations to innovate and drive efficiency. Gartner predicts that spending on AI software will surge to $297.9 billion by 2027, and GenAI is poised to account for a substantial portion of this investment.
However, the true value of GenAI lies not merely in its technological capabilities, but in its ability to use data effectively. To tap into the full potential of AI, businesses must prioritize the governance, trust and traceability of their data. By ensuring data quality, security, and ethical use, organizations can maximize the benefits of GenAI while mitigating risks and building a strong foundation for future success.
Luckily for organizations, NetApp (the intelligent data infrastructure company) recently announced advanced GenAI data vision and end-to-end integrated solutions that combine NVIDIA AI software and accelerated computing with NetApp intelligent data infrastructure for enterprise retrieval augmented generation, or RAG, to power the future of agentic AI applications.
This isn’t the first time “agentic AI” has been mentioned in our articles. Opnova recently released its agentic AI platform, which is designed to close the automation gap in complex operational workflows. My colleague Alex Passett also mentioned “agentic” is his piece about Letta, a new GenAI startup spun out of BAIR.
With the NetApp announcement, NetApp brings new capabilities to its ONTAP unified storage operating system and a global metadata namespace. By combining NetApp's proven AIPod architecture with ONTAP, BlueXP, NVIDIA NeMo Retriever and NIM microservices, NetApp is empowering organizations to unlock the full potential of their data for AI-driven applications.
This powerful integration enables businesses to discover, search and curate data while adhering to strict governance policies. Once collected, data is processed and vectorized using NeMo Retriever, which makes it readily accessible for enterprise GenAI deployments with robust security and privacy controls.
This AI-powered data flywheel lays the groundwork for agentic AI applications that autonomously and securely utilize data to accomplish a wide range of tasks across industries. NetApp's end-to-end integration makes certain that data remains secure and compliant throughout the AI lifecycle.
“To power AI applications and drive transformative progress for their business, enterprises must unlock the potential of their data,” said Harv Bhela, Chief Product Officer at NetApp. “Combining the NetApp data management engine and NVIDIA AI software empowers AI applications to securely access and leverage vast amounts of data, paving the way for intelligent, agentic AI that tackles complex business challenges and fuels innovation."
NetApp is also expanding its NVIDIA certifications to include ONTAP storage on the AFF A90 platform with DGX SuperPOD. By addressing the unique challenges of large language models, NetApp ONTAP ensures that AI training workloads can be executed without compromising data management.
“Data is fundamental to the evolution of generative AI,” said Manuvir Das, Vice President, Enterprise Computing at NVIDIA. “By combining NVIDIA AI software and accelerated computing with NetApp intelligent data infrastructure, enterprises can turn their data into knowledge, and AI agents can turn that knowledge into action.”
Be part of the discussion about the latest trends and developments in the Generative AI space at Generative AI Expo, taking place February 11-13, 2025 in Fort Lauderdale, Florida. Generative AI Expo covers the evolution of GenAI and feature conversations focused on the potential for GenAI across industries and how the technology is already being used to create new opportunities for businesses to improve operations, enhance customer experiences, and create new growth opportunities.
Edited by
Alex Passett
