*RRP - Reseller Recommend Price. Prices may vary based on local reseller.Prices provided in quotes by local resellers may vary.Show MoreShow Less
Loading...
https://connect.hpe.com/e/f2?nocache
en
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.
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
The requested account is an existing enterprise account. Please click here to login to enterprise store.
Sign-in Error
The associated account is connected to an employee profile. Please either register or use an alternative account to log in to the storefront.
Thank you for filling out your profile information. To complete your registration, please check your inbox for an email from Hewlett Packard Enterprise (HPE) and follow the validation steps.
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.
SKU #
S0M12AAE
Get Started
Pricing displayed for the products does not include applicable taxes and shipping.
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.
Istio is a registered trademark of Google LLC. NVIDIA is a trademark and/or registered trademark of NVIDIA Corporation in the U.S. and other countries. All third-party marks are property of their respective owners.
Get advice, answers, and solutions when you need them. For general questions, email us at hpestore.quote-request@hpe.com
Find what you are looking for?
Need help locating the right product for your business?
Our product experts would love to chat with you to find products and services that enable opportunities and resolve your business problems.
*All pricing displayed is indicative; the reseller sets the final transactional price and may include other fees such as sales tax/VAT and shipping. The transactional price set by the reseller may vary from other resellers and the indicative price displayed. Indicative pricing may include limited-time promotional offers. HPE reserves the right to make pricing adjustments at any time for reasons including, but not limited to, changing market conditions, product discontinuation, restricted product availability, promotion end of life, and errors in advertisements.
