HPE Ezmeral Data Fabric is a software-defined, distributed file and object store specifically designed to provide a global namespace and a unified data platform for data-intensive workloads like AI, machine learning, and high-performance computing (HPC). It manages files, objects, tables, and streams across edge, core, and cloud environments, creating a persistent storage layer that simplifies data access and management for analytics and AI/ML pipelines. Its architecture is optimized for the performance and scale required by these demanding applications.

B. HPE NimbleOS: This is the operating system for HPE Nimble Storage arrays, focused on managing block and file storage with features like predictive analytics, not a global data fabric.

C. HPE StoreOnce: This is a purpose-built backup and data protection appliance focused on deduplication and long-term retention, not a primary data platform for active AI/HPC workloads.

D. HPE OneView: This is an infrastructure automation and management platform used to deploy and manage servers, storage, and networking, not a data access or data fabric solution.

1. HPE Ezmeral Data Fabric Datasheet: "HPE Ezmeral Data Fabric provides the data foundation for all your data

from edge to cloud... It is ideal for a wide range of data-intensive use cases

including analytics

AI/ML

and HPC." (Hewlett Packard Enterprise

Datasheet

Document ID: a00103918enw

Page 1).

2. HPE Ezmeral Software Platform Solution Brief: "The HPE Ezmeral Data Fabric is a key component

providing a persistent storage layer that spans multiple environments... It simplifies data pipelines for AI/ML and analytics applications by providing a single

unified data source." (Hewlett Packard Enterprise

Solution Brief

Document ID: a00104539enw

Page 3

"HPE Ezmeral Data Fabric" section).

3. HPE Solution for AI White Paper: This document details how the HPE Ezmeral portfolio

including the Data Fabric

underpins HPE's strategy for AI. It describes the data fabric as essential for "managing the entire machine learning lifecycle" by providing unified access to distributed data. (Hewlett Packard Enterprise

"An HPE Reference Configuration for enterprise AI on HPE Apollo 6500 Gen10 Plus systems"

Page 6

Figure 2).