HPE’s unified data foundation is a single, intelligent storage and data platform designed to manage, protect, and activate data across all your environments—edge, data centers, and cloud—through one agentic AI-driven cloud experience.

Many organizations struggle with scattered data, siloed tools, and infrastructure that wasn’t built for today’s scale of unstructured data and AI workloads. This leads to higher costs, limited visibility, and slower time to insight. HPE’s approach is to simplify the foundation instead of adding more point solutions.

With this unified foundation you can:

• Connect: Break down data silos and gain a consistent view across your data estate.
• Accelerate: Support everything from legacy applications to AI workloads with enterprise-scale performance.
• Simplify: Use a single AI-powered cloud experience to reduce operational overhead and routine management tasks.
• Optimize: Improve efficiency, resource utilization, and ROI.
• Activate: Make data easier to discover, enrich, and use for analytics and AI.

Organizations using this model have seen up to 99% operational time savings and up to 43% less storage administration effort. The goal is to help your teams spend less time managing infrastructure and more time turning data into business value.

HPE focuses on giving you a common architecture for all major data types so you can move from raw data to AI-ready assets more efficiently.

Key building blocks include:

• HPE Alletra Storage MP: Brings block, file, and object storage together on a shared architecture. This lets you scale performance and capacity independently, which helps control costs and avoid overprovisioning.
• HPE Alletra Storage MP X10000: Designed for high-performance file and object workloads. It adds automated metadata enrichment so you can transform raw files, videos, telemetry, and machine data into AI-ready assets—ideal for active data lakes, analytics, generative AI, and large language models.
• HPE Data Fabric Software: Provides an AI-ready data lakehouse platform that unifies data access across environments, strengthens governance, and supports high-performance analytics.

For structured, business-critical workloads, HPE Alletra Storage MP B10000 offers high performance and scalability with a 100% data availability guarantee for databases such as SAP, Oracle, Microsoft SQL, and MongoDB, as well as healthcare, analytics, and virtualized environments.

By consolidating these capabilities on one intelligent platform, you can support both traditional applications and modern AI workloads without creating new silos or operational friction.

HPE addresses resilience and cost control by combining a zero trust security posture, integrated protection tools, and an architecture that separates performance from capacity.

Resilience and cyber protection

• High availability: HPE Alletra Storage MP B10000 offers a 100% data availability guarantee for critical workloads, helping keep key applications online.
• Issue prevention: Built-in AIOps can predict and prevent up to 86% of infrastructure issues before they affect applications, reducing firefighting and unplanned downtime.
• Ransomware and recovery:
  • HPE Zerto Software delivers continuous data protection and rapid recovery for critical apps.
  • HPE Cyber Resilience Vault provides isolated, air-gapped recovery environments for your most important assets.
  • HPE StoreOnce Systems enable fast, efficient backup and restore, while HPE Cloud Bank Storage and HPE StoreEver Tape support secure, cost-effective long-term retention.
• Ecosystem integrations: Native integrations with Cohesity, Commvault, and Veeam extend protection across the data lifecycle.

Cost and efficiency benefits

• The disaggregated architecture of HPE Alletra Storage MP B10000 lets you scale performance and capacity independently, helping lower storage costs by up to 40% and reduce overprovisioning.
• Unified, AI-driven operations reduce manual tasks and operational overhead, contributing to up to 99% operational time savings and up to 43% less storage administration effort in many environments.

Given that 85% of organizations experienced a data loss incident in the last 12 months, this multi-layered approach is designed to help you recover quickly, maintain business continuity, and keep data ready for analytics and AI—without losing control of cost and complexity.