Core Insights - NVIDIA has introduced the NVIDIA AI Data Platform, a customizable reference design aimed at building AI infrastructure for enterprise storage platforms that support demanding AI inference workloads [1][12] - The platform enables storage providers to create AI query agents that enhance data insights generation in near real-time using NVIDIA's AI Enterprise software [2][5] Group 1: Infrastructure and Technology - The NVIDIA AI Data Platform allows certified storage providers to optimize their infrastructure with NVIDIA Blackwell GPUs, BlueField DPUs, and Spectrum-X networking to enhance AI reasoning workloads [3][6] - BlueField DPUs can deliver up to 1.6 times higher performance than traditional CPU-based storage while reducing power consumption by up to 50%, achieving over 3 times higher performance per watt [6] - Spectrum-X networking can accelerate AI storage traffic by up to 48% compared to traditional Ethernet through adaptive routing and congestion control [6] Group 2: Collaboration and Industry Impact - Leading storage providers such as DDN, Dell Technologies, and IBM are collaborating with NVIDIA to develop customized AI data platforms that leverage enterprise data for complex query responses [4][13] - Jensen Huang, CEO of NVIDIA, emphasized the importance of data as a key resource in the AI era, stating that the collaboration aims to build infrastructure necessary for deploying and scaling agentic AI across hybrid data centers [5] Group 3: AI Query Agents and Capabilities - AI query agents developed using the NVIDIA AI-Q Blueprint can access and process various data types, including structured, semi-structured, and unstructured data from multiple sources [8] - The AI-Q Blueprint utilizes NVIDIA NeMo Retriever microservices to accelerate data extraction and retrieval by up to 15 times on NVIDIA GPUs [7]