C_EmailAddress,C_FirstName,C_LastName,C_BusPhone,C_Company,C_Address1,C_Address2,C_City,C_Zip_Postal,C_State_Prov,C_Country,C_Number_of_Employees1,C_Email_Opt_In1,C_Estimated_Budget1,C_Industry1,C_Language1,C_Lead_Source___Most_Recent1,C_Mail_Opt_in1,C_Mobile_Opt_in1,C_Phone_Opt_in1,C_MobilePhone,C_Timeframe_to_Buy1,C_Response_Type1,C_Purchase_Role1,C_Contact_Me_Request1,ContactIDExt

Our system could not confirm your address to be valid and cannot find a recommended alternative. It is strongly recommended that you edit the address and try again. You may also continue with the address as you entered it if you are sure it is correct.

Image may differ from actual product

Show less

HPE Ezmeral Runtime Enterprise

HPE Ezmeral Runtime Enterprise is an enterprise-grade container orchestration platform that is designed for the containerization of both cloud-native and non-cloud-native monolithic applications with persistent data. It deploys 100% open-source Kubernetes for orchestration, provides a state-of-the-art file system and data fabric for persistent container storage, and provides enterprises with the ability to deploy AI and Analytics workloads in containers. Enterprises can now easily extend the agility and efficiency benefits of containers to more of their enterprise applications—running on either bare-metal or virtualized infrastructure, on-premises, in multiple clouds, or at the edge.

Get Started

QuickSpecs

Chat with us

Features

Select offerings

Learn more

Launch HPE GreenLake

Features

Features

Maximize your HPE Ezmeral Runtime Enterprise

What's New

Decoupling of platform and Kubernetes-related components.
Support for SLES 15 SP3 OS, K8s 1.21, 1.22, 1.23, external HPE Ezmeral Data Fabric on Bare Metal 7.0, and flexibility around data fabric registration.

Support for Apache Spark 3.2, 3.3, and GPU acceleration for Spark workloads.
Enhanced machine learning (ML) user experience and secured model management in a multi-tenant environment.

Decoupling of Platform and the Kubernetes-related Components

HPE Ezmeral Runtime Enterprise will decouple the upgrade of platform and K8s-related components, reduce downtime, and give the administrator an ability to upgrade K8s-related components without performing a complete platform upgrade.

The Kubernetes-related components will be delivered in Kubernetes Bundles, which will package the software to support newer Kubernetes versions and updated add-ons. See Kubernetes Bundle for more details.

No changes were made to the upgrade procedure of an existing Kubernetes cluster and if the Kubernetes version update requires changes in the HPE Ezmeral Runtime Enterprise platform, the administrator can perform the complete HPE Ezmeral Runtime Enterprise upgrade.

Support for SLES 15 SP3, Newer K8s Versions, and External HPE Ezmeral Data Fabric on Bare Metal 7.0

The HPE Ezmeral Runtime Enterprise 5.5.0 release adds support for SLES 15 SP3 OS, K8s versions 1.21.14-hpe1, 1.22.12-hpe1, 1.23.9-hpe1, and open-source components such as Istio® (1.13.5). The K8s versions are based on the HPE with K8s distro, hence the “-hpe1” suffix.

It also adds support for external Ezmeral Data Fabric on Bare Metal 7.0 and flexibility around data fabric registration by allowing multiple Ezmeral Runtime Enterprise instances to register with the same external HPE Ezmeral Data Fabric on Bare Metal cluster as tenant storage.

Support for Apache Spark 3.2, 3.3 and GPU Acceleration for Spark Workloads

HPE Ezmeral Runtime Enterprise includes HPE Ezmeral Spark version 3.2 compatible with HPE Ezmeral Data Fabric 7.0, along with user authentication and governed data access to the data fabric. In addition, the Spark Operator has been enhanced to support open-source Apache Spark versions 2.x and 3.x.

Spark workloads can use GPU acceleration through built-in support for the NVIDIA® RAPIDS plugin.

Enhanced ML User Experience and Secured Model Management in a Multi-tenant Environment

Improves data scientist productivity to both build and operationalize ML models quickly.

Streamline access to data sources, notebooks, experiment tracking and model registry from a single, intuitive UI.

Built-in support to use MLflow integrated with Kubeflow for experiment tracking and model management.

Shared MLflow model registry and experiment tracker across tenants; end users are authenticated and provided controlled access to model and model metadata.

Includes support for Kubeflow 1.6

Decoupling of Platform and the Kubernetes-related Components -

Support for SLES 15 SP3, Newer K8s Versions, and External HPE Ezmeral Data Fabric on Bare Metal 7.0 +

Support for Apache Spark 3.2, 3.3 and GPU Acceleration for Spark Workloads +

Enhanced ML User Experience and Secured Model Management in a Multi-tenant Environment +

QuickSpecs

{"baseProduct":{"productID":"1014123493","productName":"HPE Ezmeral Runtime Enterprise"},"navigationList":["Enterprise Solutions","Artificial Intelligence and Analytics","Artificial Intelligence and Analytics","HPE Ezmeral Runtime Enterprise"],"cartDetail":{},"productInfo":[{"productInfo":{"quantity":"1","productID":"R9J39AAE","productName":"HPE Ezmeral Runtime Enterprise Imported Cluster Manager E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"R9J35AAE","productName":"HPE Ezmeral Runtime Enterprise E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"R9J34AAE","productName":"HPE Ezmeral Runtime Enterprise Essentials E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M15AAE","productName":"HPE Ezmeral Runtime Enterprise 3\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M17AAE","productName":"HPE Ezmeral Runtime Enterprise 5\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M13AAE","productName":"HPE Ezmeral Runtime Enterprise 1\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M31AAE","productName":"HPE Ezmeral Runtime Enterprise Imported Cluster Manager 4\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M32AAE","productName":"HPE Ezmeral Runtime Enterprise Imported Cluster Manager 5\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M29AAE","productName":"HPE Ezmeral Runtime Enterprise Imported Cluster Manager 2\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M30AAE","productName":"HPE Ezmeral Runtime Enterprise Imported Cluster Manager 3\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M16AAE","productName":"HPE Ezmeral Runtime Enterprise 4\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M28AAE","productName":"HPE Ezmeral Runtime Enterprise Imported Cluster Manager 1\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M14AAE","productName":"HPE Ezmeral Runtime Enterprise 2\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M09AAE","productName":"HPE Ezmeral Runtime Enterprise Essentials 2\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M12AAE","productName":"HPE Ezmeral Runtime Enterprise Essentials 5\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M11AAE","productName":"HPE Ezmeral Runtime Enterprise Essentials 4\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M10AAE","productName":"HPE Ezmeral Runtime Enterprise Essentials 3\u2011year 24x7 E\u2011LTU"}},{"productInfo":{"quantity":"1","productID":"S0M08AAE","productName":"HPE Ezmeral Runtime Enterprise Essentials 1\u2011year 24x7 E\u2011LTU"}}]}

Additional resources

QuickSpecs

Additional Documents

Videos

HPE Services

How can we help

Get advice, answers, and solutions when you need them. For general questions, email us at hpestore.quote-request@hpe.com

Live Chat

Product Support

Email Us

How to Buy

Provided User Id doesn't have access to this country, Please try sign in to authorized country partner portal.

Partner doesn’t have any country associated. Please contact System administrator.

Your Email/Password combination is incorrect. Please try again.

We've identified you as an Partner Store customer accessing HPE Storefront. Please 'click here' to log in to the Partner Store.

We've identified you as an HPE storefront customer accessing the Partner Store. Please 'click here' to log in to the HPE storefront.

Login Error

Sign-in Error

HPE Ezmeral Runtime Enterprise

Maximize your HPE Ezmeral Runtime Enterprise

What's New

Decoupling of Platform and the Kubernetes-related Components

Support for SLES 15 SP3, Newer K8s Versions, and External HPE Ezmeral Data Fabric on Bare Metal 7.0

Support for Apache Spark 3.2, 3.3 and GPU Acceleration for Spark Workloads

Enhanced ML User Experience and Secured Model Management in a Multi-tenant Environment