HPE Ezmeral software portfolio
Run, manage, control and secure the apps, data and IT that run your business—from edge to cloud.
Fueling edge-to-cloud digital transformation
HPE Ezmeral advances digital transformation initiatives by shifting time and resources from IT operations to innovations.
Modernize your apps. Simplify your Ops. And harness data to go from insights to impact.
+ show more
News and upcoming webinars
HPE EZMERAL SOFTWARE PORTFOLIO
HPE Ezmeral Container Platform
HPE Ezmeral Container Platform provides an enterprise-grade platform to deploy Kubernetes at scale for a wide range of use cases on bare metal or VMs.
HPE Ezmeral Data Fabric
HPE Ezmeral Data Fabric delivers enterprise-wide global access to data from edge to cloud – with best-in-class reliability, security, and performance.
HPE Ezmeral ML Ops
HPE Ezmeral ML Ops increases speed and agility for machine learning ops by operationalizing end-to-end processes from pilot to production.
HPE Ezmeral IT Ops & Automation
HPE OneView and HPE InfoSight introduce automation and AI into IT Ops—improving productivity and mitigating risk of service disruption.
HPE is a contributor to CNCF’s open source SPIFFE and SPIRE projects, that allow you to deploy consistent, fine-grained service authentication across heterogeneous environments.
Deploy containers at scale with Kubernetes. HPE Ezmeral Container Platform provides an enterprise-grade solution to accelerate your app modernization efforts and run data-driven apps with persistent container storage—in your data centers, on any cloud, or at the edge.
Enable data-driven apps with no movement of data. HPE Ezmeral Data Fabric is a globally distributed data store with unequaled scale, performance and reliability that simplifies management and provisioning for data-driven applications and eases movement between on-premises and cloud environments.
Accelerate time-to-insights for ML projects. HPE Ezmeral ML Ops addresses the entire ML pipeline from data preparation and model-building to training, deployment, monitoring and collaboration—operationalizing the end-to-end process so you can focus on business outcomes.
Drive consistent service delivery and business agility. HPE’s automation software empowers you to focus more on innovation, improving execution reliability and efficiency that results in increased agility, reduced risk, and lower costs.
Gain visibility and control across all your clouds. HPE Managed Cloud Controls ensures compliance and cost control across multiple public cloud environments to simplify operations and optimize costs.
Speed app authentication in distributed clouds. HPE’s security software and open source contributions increase productivity and agility by enabling developers to build in inter-app authentication into containerized apps straddling legacy data centers and cloud-based infrastructure.
Now available on-demand, see how to run, manage, control and secure the apps, data and IT that run your business. Learn how HPE Ezmeral software runs containers and Kubernetes at scale to modernize apps, from edge to cloud.
Learn HPE Ezmeral on-demand
HPE Ezmeral Learn On-Demand offers courses that provide foundational knowledge as well as hands-on technical experience with a variety of topics, like how to build applications with Apache Spark or how to work with containers and Kubernetes.
Learn about expanding your data skills with free on-demand training
AI & Machine Learning On-Demand Courses
ACCELERATING AUTONOMOUS CAR DEVELOPMENT WITH READY ACCESS TO GLOBAL DATA
Global automaker Mercedes-Benz AG deployed HPE Ezmeral Data Fabric, accelerating its development of autonomous driving functions with ready access to global data.
To make intelligent and autonomous driving a reality, global automaker Mercedes Benz AG was faced with the challenge of managing and analyzing enormous amounts of data.
The automaker selected HPE Ezmeral Data Fabric to collect and manage massive amounts of data from test vehicles and make them available to developers across the world.
The HPE solution has worked out of the box as the enterprise data platform for the automaker. It enables the company’s data science teams to easily store, manage, process, and analyze data in one place.
Mercedes-Benz AG has accelerated the overall development of its automated and autonomous driving functions by leveraging deep learning techniques to train neural networks on representative data sets.