HPE Machine Learning Development Environment

Uncover hidden insights from your data by helping engineers and data scientists collaborate, build more accurate ML models and train them faster.

Accelerate ML model development

Learn about the comprehensive array of features integrated into the easy-to-use, high-performance solution of HPE Machine Learning Development Environment.

Train models faster

Allow ML engineers to train models faster and take advantage of distributed training without changing their model code.  This gives teams the ability to train at any scale by managing the provisioning of machines, networking, data loading, and fault tolerance, making distributed model training fast and easy. 

Remove complexity and cost

Enable ML model developers to accelerate time to value by making it easier for IT admins to set up, manage, secure, and share AI compute clusters.   Developers get more from their GPUs with smart scheduling, as well as reduce cloud GPU costs by seamlessly using spot instances.

Enhance data science collaboration

Enable easier and faster ML team collaboration through features like simpler model reproducibility and experiment tracking.  The result is that teams are able to easily interpret experiment results and reproduce experiments.

Build models, not infrastructure

Learn how ML engineers can focus on building better models, instead of managing IT infrastructure.

Healthcare research redefined

AI and machine learning has helped create new medical methodologies that are open and collaborative, delivering better insights faster.

Reduce complexity and operational overhead

Leverage AI/ML infrastructure options for consumption options, accelerate the time to model development, help future-proof your AI/ML infrastructure, and help relieve management staffing and process burdens.

Power your next breakthrough with AI-at-scale

It’s time to redefine AI experiments with AI-at-scale. Learn how to seamlessly scale your AI projects with distributed training and collaborative resources for your AI projects.

Take the next steps

Ready to get started? Explore purchasing options or engage with HPE experts to determine the best solution for your business needs.

Featured products

Turn data into intelligence

A single source of truth from data to make smart decisions and recommendations to customers.

HPE Software

Unlock the value and insights from data, edge to cloud.

HPE Machine Learning Development System

Scale AI model training from idea to impact with minimal code rewrites or infrastructure changes.

HPE GreenLake, the open and secure edge-to-cloud platform

Complete your solution with a hybrid cloud operating model across all your workloads and data. HPE GreenLake - the cloud operating experience you have always wanted – flexible and scalable, combining security, visibility and ease of management.

Technical specifications

  • Train models faster

    Allows ML engineers to train models faster, allowing them to take advantage of distributed training without changing their model code.


  • Remove complexity and cost

    Enables ML model developers to accelerate time to value by making it easier for IT admins to set up, manage, secure, and share AI compute clusters.


  • Enhance data science collaboration

    Enables easier and faster ML team collaboration through features like simpler model reproducibility and experiment tracking.


  • Flexible AI infrastructure support

    Offers companies broad infrastructure flexibility, allowing it to run on a variety of compute environments such as cloud and on-premises AI infrastructure.