Discover how HPE Private Cloud AI (PCAI), co-engineered with NVIDIA, delivers a fast, scalable foundation for enterprise AI workloads. See how HPE Alletra MP X10000 Storage powers data-driven innovation with built-in data intelligence and ultra-fast object performance with RDMA to streamline data pipelines—accelerating customers’ AI journey.

Ed Beauvais from HPE presented the HPE Alletra MP X10000 storage solution, emphasizing the challenge that many AI pilot projects fail to reach production due to data-related issues. He highlighted the need for a shift in mindset, where data is considered the product, particularly in the context of generative AI and RAG. The presentation underscored the importance of having fresh, trusted, and well-managed data for building effective AI models, particularly in a distributed infrastructure environment. HPE's Alletra Storage MP architecture offers a cloud operating model for managing this data, with the X10000 specifically designed to accelerate data readiness for AI, offering fast performance, simplified management, and enterprise-grade features.

A key innovation discussed was RDMA for Object, enabling near doubling of throughput, reduced latency, and lower host CPU consumption, all aimed at accelerating insights. HPE is moving beyond traditional storage by incorporating built-in data intelligence, enabling customers to gain deeper insights into their data assets. The presentation also detailed HPE's approach to transforming unstructured data by adding metadata tags in an open format (Iceberg tables), facilitating SQL queries and integration with LLMs. This enables the extraction of vector embeddings and integration with an MCP server, providing agentic AI with insights into the storage system and enhancing security and data curation.

Looking forward, HPE plans to bring compute closer to the data, offering customers flexible management facilities and working with solution providers to enable data cataloging and management. HPE envisions a future where customers can bring their own models for data analysis, with a data intelligence server integrated within the storage fabric. The ultimate goal is to provide intelligence and visibility across the entire unstructured data ecosystem, enabling customers to fully leverage their data assets through the ElectroStorage MP platform.

Presented by Ed Beauvais, Director, Product Management AI & Cloud Data Infrastructure, HPE. Recorded live at Cloud Field Day in Millbrae on October 22, 2025. Watch the entire presentation at https://techfieldday.com/event/cfd24/ or visit https://www.hpe.com/ for more information.