About
This site contains documentation for HPE Ezmeral Runtime Enterprise, including installation, configuration, administration, and reference content, and information about related solutions. Examples of related solutions include HPE Ezmeral ML Ops and HPE Ezmeral Runtime Analytics for Apache Spark.
5.7 Reference
- HPE Ezmeral Runtime Enterprise 5.7
- Software Versions
- Kubernetes Bundles
  Kubernetes Bundles are software packages that can contain software to support newer Kubernetes versions, updated add-ons, and software fixes. Kubernetes Bundles enable you to update your deployment without requiring you to upgrade to a newer version of HPE Ezmeral Runtime Enterprise.
- Quick Links
- What's New in Version 5.7.x
  This topic summarizes the new features and important changes in HPE Ezmeral Runtime Enterprise 5.7.x compared to HPE Ezmeral Runtime Enterprise 5.6.5.
- Prepackaged Applications
- On-Premises, Hybrid, and Multi-Cloud Deployments
- Third-Party Licenses
- Universal Concepts
- Accessing HPE Ezmeral Runtime Enterprise Applications and Services
- Navigating the GUI
  Describes the screen layout of the HPE Ezmeral Runtime Enterprise graphical user interface (GUI).
- HPE Ezmeral ML Ops
  The topics in this section provide information about machine learning operations (ML Ops/MLOps) using HPE Ezmeral ML Ops in HPE Ezmeral Runtime Enterprise. (Not available with HPE Ezmeral Runtime Enterprise Essentials.)
- Spark on Kubernetes
  The topics in this section provide information about Apache Spark on Kubernetes in HPE Ezmeral Runtime Enterprise. (Not available with HPE Ezmeral Runtime Enterprise Essentials.)
- Kubernetes
  - Kubernetes Physical Architecture
  - Hewlett Packard Enterprise Distributions of Kubernetes
    The Hewlett Packard Enterprise distribution of Kubernetes, identified by the -hpe<number> suffix, incorporates the containerd runtime, which is required for all Kubernetes clusters created with HPE Ezmeral Runtime Enterprise version 5.5.0 and later.
  - Kubernetes Cluster Types and Compatibility
    An existing HPE Ezmeral Runtime Enterprise deployment that is upgraded from a previous release might contain Kubernetes clusters that use the containerd runtime and Kubernetes clusters that use the Docker runtime. All nodes in a Kubernetes cluster must use the same type of runtime.
  - Migrating Kubernetes Clusters from Docker to containerd
    This topic describes migrating legacy Kubernetes clusters from Docker container runtime to the the new Hewlett Packard Enterprise distribution of Kubernetes, which implements containerd runtime.
  - About HPE Ezmeral Data Fabric on Kubernetes
  - Kubernetes Tenant RBAC
  - Disabling or Enabling the Kubernetes Web Terminal
    As a Platform Administrator, you can enable or disable user access to the Kubernetes Web terminal. The Kubernetes Web Terminal is not available in HPE Ezmeral Runtime Enterprise Essentials.
  - Kubernetes Metadata
  - Centralized Policy Management
    Defines centralized policy management and describes the features and benefits of applying policies to Kubernetes clusters managed by HPE Ezmeral Runtime Enterprise. Not available in HPE Ezmeral Runtime Enterprise Essentials.
  - Kubernetes Troubleshooting Overview
  - Using Kubernetes
    The topics in this section describe information and tasks for non-administrator users of Kubernetes in HPE Ezmeral Runtime Enterprise.
    - Kubernetes Web Terminal
      The Kubernetes Web Terminal includes the HPE Kubectl plug-in, Helm, and access to the Kubernetes tenant FS mounts. Kubernetes Web Terminal is not available in HPE Ezmeral Runtime Enterprise Essentials. Privileges to execute commands are granted according to the user role.
    - Using the HPE Kubectl Plugin
    - General Functionality
      The topics in this section describe general Kubernetes functionality on HPE Ezmeral Runtime Enterprise.
      - Getting Started with General Kubernetes Functionality
      - Dashboard - Kubernetes Tenant Member
      - Toolbar & Main Menu - Kubernetes Tenant Member
        Describes the toolbar and navigation sidebar available to users with Kubernetes Tenant Member access rights to tenants that are not ML Ops tenants in HPE Ezmeral Runtime Enterprise.
      - Accessing the Kubeflow Dashboard
      - Accessing the Airflow Dashboard
      - DataTaps
        The topics in this section describe DataTaps on HPE Ezmeral Runtime Enterprise.
      - FS Mounts
      - General Kubernetes Tutorials
  - Tenant/Project Administration
    The topics in this section describe information and tasks that Kubernetes Tenant/Project Administrators can perform in HPE Ezmeral Runtime Enterprise. .
  - Kubernetes Cluster Administrator Tasks
    The topics in this section describe information and tasks that Kubernetes Cluster Administrators can perform in HPE Ezmeral Runtime Enterprise.
  - Kubernetes Administrator Tasks
    The topics in this section describe information and tasks that Kubernetes Administrators can perform in HPE Ezmeral Runtime Enterprise.
  - Kubernetes Application Administration
    The topics in this section describe information and tasks related to Kubernetes application administration on HPE Ezmeral Runtime Enterprise.
- Platform Administration
  Tasks and reference information for Platform Adminstrators (Site Administrators) managing the HPE Ezmeral Runtime Enterprise deployment.
- HPE Ezmeral Data Fabric Introduction
  HPE Ezmeral Data Fabric is a platform for data-driven analytics, ML, and AI workloads. The patented file-system architecture was designed and built for performance, reliability, and scalability. HPE Ezmeral Runtime Enterprise supports multiple implementations of HPE Ezmeral Data Fabric.
- HPE Ezmeral Data Fabric on Kubernetes Administration
  You administer HPE Ezmeral Data Fabric on Kubernetes and Embedded Data Fabric as part of your HPE Ezmeral Runtime Enterprise environment. The external "bare metal" implementation of HPE Ezmeral Data Fabric is administered through its own tools and has its own documentation. (Not available in HPE Ezmeral Runtime Enterprise Essentials.)
- GPU and MIG Support
  This topic provides information about support for NVIDIA GPU and MIG devices on HPE Ezmeral Runtime Enterprise.
- Licensing
- Global Settings
- Planning the Deployment
  A high-level overview of the items to consider when planning an HPE Ezmeral Runtime Enterprise deployment.
- System Requirements
- Deploying the Platform
  The topics in this section describe deploying HPE Ezmeral Runtime Enterprise. Deployment is divided into phases.
- Upgrading to HPE Ezmeral Runtime Enterprise 5.7.x
  This article describes the process to upgrade to the latest 5.7.x version of HPE Ezmeral Runtime Enterprise.
- Upgrading from HPE Ezmeral Runtime Enterprise Essentials
  Upgrade from HPE Ezmeral Runtime Enterprise Essentials to the full-featured HPE Ezmeral Runtime Enterprise or to HPE Ezmeral ML Ops by uploading a license. No additional steps are required.
- Manually Restarting HPE Ezmeral Runtime Enterprise Services
  This topic describes restarting HPE Ezmeral Runtime Enterprise services in non-Kubernetes hosts.
- Uninstalling and Reinstalling HPE Ezmeral Runtime Enterprise
- Support and Troubleshooting

Accessing the Kubeflow Dashboard

To access the Kubeflow dashboard:

Verify that the Kubernetes Administrator has installed Kubeflow, as described in Kubeflow Installation.
Log in to HPE Ezmeral Runtime Enterprise with your LDAP/AD credentials.
In the main menu, click ML Workbench. See Toolbar and Main Menu - Kubernetes Tenant Member.
In the Training and Workflow block, click the Kubeflow link:
The Kubeflow dashboard Login screen appears in a new browser tab. Log in with your AD/LDAP credentials.
On first time login, HPE Ezmeral Runtime Enterprise prompts you to create a new profile namespace. Continue to get to the Kubeflow dashboard screen. From this screen, you can create Tensorboards and run Experiments, pipelines, and more.

You can switch to the tenant namespace by specifying the tenant's name in the namespace dropdown list:

HPE Ezmeral Runtime Enterprise 5.7 Documentation
Abstract	HPE Ezmeral Container Platform is a unified container platform built on open source Kubernetes and designed for both cloud-native applications and non-cloud-native applications running on any infrastructure either on-premises, in multiple public clouds, in a hybrid model, or at the edge.
Published	October 2025
Edition	5.7.0
Topic last updated	2022-10-14