Core Insights - Hitachi Vantara and Supermicro are forming a strategic partnership to integrate Supermicro's AI compute capabilities with Hitachi's VSP One unified storage platform, enhancing AI infrastructure and data management for enterprises [1][4][5] Partnership Details - The collaboration will allow Supermicro to sell VSP One to its customers while Hitachi Vantara will sell Supermicro's servers and hardware, expanding market reach [1][6] - The agreement is in the finalization stage, aiming to streamline infrastructure for AI-driven applications and data-intensive workloads [1][2] Market Context - A survey indicates that 85% of organizations are using data lakehouses for AI model development, with 67% expecting to run most analytics on lakehouses in the next three years, up from 55% [2] - Enterprises face challenges such as fragmented systems and rising costs, which hinder AI scalability [2] VSP One Features - VSP One integrates block, file, object, and software-defined storage into a single architecture, providing high throughput and low latency for mission-critical applications [3][4] - It includes features like native support for Amazon S3 Tables and advanced data intelligence services, facilitating easier data management and analytics [3][4] Strategic Importance - The partnership is seen as a significant step in aligning compute and data capabilities, which is essential for scalable AI workloads [4] - Hitachi iQ, the AI and data orchestration portfolio, will leverage VSP One to optimize data workflows for advanced AI applications [4][5] Technology Availability - The technologies from this partnership will be made available through global channels, enhancing the offerings for both companies' partners [6]

Core Insights - Broadcom Inc. has launched VMware Tanzu Data Intelligence, a data lakehouse platform designed to provide unified, low-latency access to multimodal data, enhancing analytics and AI capabilities for enterprise applications [1][4] - The platform aims to address challenges in data quality and accessibility, which are critical for the success of generative AI projects, as highlighted by Gartner's prediction that 30% of such projects will be abandoned by 2026 due to these issues [2][3] Group 1: Tanzu Data Intelligence Features - Tanzu Data Intelligence integrates ingestion, processing, querying, and AI/ML enablement into a single solution, catering to complex and regulated organizations [4][5] - It offers unified access to diverse data types, scaling from terabytes to petabytes with millisecond latency, and supports various applications including transactional and smart applications [6][8] - The platform includes components for ingestion, workflow orchestration, federated query services, and real-time data services, enabling seamless data movement and low-latency access [7][8] Group 2: Tanzu Platform 10.3 Enhancements - Tanzu Platform 10.3 introduces features for improved security transparency, operational control, and observability, enhancing the development and deployment experience for AI applications [9][10] - The platform provides an "AI Starter Kit" to help application teams quickly evaluate AI capabilities without a full upgrade, streamlining the process of building AI applications [11] - New capabilities include automated modernization for existing applications, a vulnerability insights dashboard for security management, and integrated data services observability for better performance tracking [13][14]