Install and Set Up HPE Machine Learning Development Environment#

Install and set up HPE Machine Learning Development Environment using the cluster deployment guide for your environment.

Tip

Store your installation commands and flags in a shell script for future use, particularly for upgrading.

Note

To configure your cluster, visit Configuring the Cluster.

Note

Administrators should first consult Advanced Installation when setting up HPE Machine Learning Development Environment for an organization.

Local#

Install HPE Machine Learning Development Environment on a single machine, for your own use. Compatible with Windows, Mac, and Linux. Ideal for getting started with HPE Machine Learning Development Environment.

HPE Machine Learning Development Environment Agent#

Use HPE Machine Learning Development Environment’s built-in resource management. This is an easier alternative to installing and administering via Kubernetes or Slurm. Ideal for teams of any size to share dedicated compute resources. Compatible with on-prem clusters and cloud auto-scaling (AWS and GCP).

Kubernetes#

Allow HPE Machine Learning Development Environment to submit jobs to a Kubernetes cluster. Compatible with on-prem, GKE, and EKS clusters.

Slurm#

Enable HPE Machine Learning Development Environment to submit jobs to a Slurm cluster.

Attention

This method is only available on HPE Machine Learning Development Environment Enterprise Edition.