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.

• Quick Installation

• Install Determined Using det deploy

• Install Determined Using Homebrew (macOS)

• Install Determined Using Windows Subsystem for Linux (Windows)

Note

Initial Password: When you deploy locally using det deploy local with master-up or cluster-up commands and no user accounts have been created yet, an initial password will be automatically generated and shown to the user (with the option to change it) if neither security.initial_user_password in master.yaml nor the --initial-user-password CLI flag is present.

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).

• Deploy on Prem

  • Install Determined Using Linux Packages

  • Install Determined Using Docker

• Deploy on AWS

• Deploy on GCP

• Deploy Using HPE Machine Learning Development Environment Software (MLDES) Managed Service

Kubernetes

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

• Deploy on Kubernetes

  • Install Determined on Kubernetes

  • Set up and Manage an Azure Kubernetes Service (AKS) Cluster

  • Set up and Manage an AWS Kubernetes (EKS) Cluster

  • Set up and Manage a Google Kubernetes Engine (GKE) Cluster

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.

• Deploy on Slurm/PBS