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HPE Software

Unlock the value and insights from data, edge to cloud.

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HPE accelerates and simplifies analytics and AI/ML initiatives

Announcing new HPE Ezmeral Software capabilities for driving analytics and AI/ML insights across distributed enterprises.

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Provide global data visibility

Access and manage data in a variety of formats within a global data plane with enterprise-grade security, governance, and controls. 

Boost productivity

Open and extensible SaaS environment to quickly develop and deploy applications across hybrid cloud environments. 

Unlock real-time insights at the edge

Harness the real-time power of the edge with efficient, secure, and privacy-preserving decentralized AI/ML model deployment. 

Empower a distributed workforce

A fast and secure VDI environment, with on-demand access to on-premises resources from any device, regardless of location. 

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Software solutions across edge to cloud

Connect your edge

Analyze data where it’s created, empower remote workers, and ease migration headaches with access to data, edge to cloud.

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Turn your data into intelligence

Simplify data management, unlock data’s value, and uncover hidden insights in your data, edge to cloud. 

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Featured software products

HPE Ezmeral Data Fabric Software

Fuel decision velocity with single, consistent, easy to use edge to cloud data plane optimized for analytics workloads.

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HPE Ezmeral Unified Analytics Software

Accelerate analytics development and deployment from edge to cloud with a managed, open-source SaaS data analytics solution.

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HPE Machine Learning Development Environment

Collaborate and train ML models at enterprise scale.

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HPE Swarm Learning

Uncover insights with a privacy preserving, decentralized ML solution for increased accuracy and reduced bias in AI models.

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HPE GreenLake for VDI

Empower your remote workforce with secure, scalable virtual desktop infrastructure, delivered as a service.

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Clients

Software news and resources

Press release | July 6, 2022

Catharina Hospital selects HPE Ezmeral Software to power data-first modernization and improve accuracy and speed of diagnosis.

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