Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Watch this 49-minute conference presentation from Tech Field Day at NetApp INSIGHT 2025 to explore how NetApp's AI Data Engine (AIDE) addresses critical enterprise AI challenges. Learn from speakers Tore Sundelin and Arindam Banerjee as they examine the current state of enterprise AI adoption and reveal why many AI projects fail to reach production due to fragmented tools, siloed data sets, and complex management requirements. Discover how NetApp's unified platform, anchored by ONTAP data management software and powered by NVIDIA integration, simplifies AI operations across data discovery, governance, transformation, and cost-efficiency to help organizations transition from isolated AI experiments to production-ready systems. Explore the technical architecture featuring dedicated Data Compute Nodes (DCNs) connected via high-speed networks to ONTAP-based AFX clusters, enhanced with NVIDIA GPUs and co-engineered embedding models for efficient vectorization and semantic search in AI workloads like Retrieval Augmented Generation (RAG). Understand the platform's rich metadata indexing capabilities, resilient snapshot-based lineage tracking, and automated detection and governance tools designed to protect sensitive data across hybrid and multi-cloud environments. Gain insights into NetApp's future roadmap for AIDE, including plans for a decentralized knowledge graph architecture to support advanced AI use cases such as Agentic AI, compatibility with AI tools like Langchain and Domino Data Labs, and bring-your-own-model scenarios. Learn about the deep collaboration with NVIDIA that has resulted in optimized pipelines and hardware compatibility for upcoming GPU generations, positioning AIDE as a comprehensive solution to unlock the value of massive enterprise data estates for advanced AI applications.
