Core Insights - VAST Data Federal has announced a strategic partnership with Leidos to create a scalable model for cyber defense, leveraging AI technologies to enhance security operations for U.S. public sector agencies [1][3] - The collaboration aims to address the overwhelming volume of security events generated by global enterprises and federal agencies, which currently amount to trillions, by utilizing advanced AI and data processing capabilities [2][6] Company Overview - VAST Data Federal is a subsidiary of VAST Data, focused on delivering AI Operating Systems to defense, intelligence, and civilian agencies in the U.S. public sector [5][7] - The VAST AI Operating System integrates foundational data and compute services, enabling agencies to deploy intelligent systems and automate complex workflows [5][8] Technology and Solutions - The partnership will utilize NVIDIA AI Enterprise software, NVIDIA Morpheus, and BlueField Data Processing Units (DPUs) to enhance real-time inspection and inference capabilities [2][4] - Key features of the solution include immediate visibility across hot and historical data, agentic triage and response, and accelerated data analytics for cyber investigations [6] Operational Benefits - The collaboration aims to reduce alert fatigue and improve response times by automating security processes and enabling policy-driven actions [2][3] - The solution is designed to lower operational costs by eliminating data storage constraints and allowing for the retention of more telemetry data [6]

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]