Skip to main content
HPE Machine Learning Development Environment

Build better AI models faster, together

Uncover hidden insights from your data — help engineers and data scientists collaborate, build more accurate ML models, and train them faster at any scale.

HPE Machine Learning Development Environment accelerates ML model development

Accelerate ML model development

A comprehensive, easy-to-use, high-performance environment that lets ML teams focus on building better models instead of managing infrastructure.

Train models faster

Distributed training at any scale — no model-code changes required.

Remove complexity and cost

Smart scheduling and spot instances cut GPU costs and admin overhead.

Enhance collaboration

Simple model reproducibility and experiment tracking for every team.

Flexible AI infrastructure

Run on cloud or on-premises AI infrastructure with broad flexibility.

See it in action

Learn about the comprehensive array of features integrated into HPE Machine Learning Development Environment.

   

Build models, not infrastructure

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

Healthcare research redefined

AI and ML create open, collaborative medical methodologies that deliver better insights faster.

Watch the video  

Scale AI from idea to impact

Speed time to value and time to market by dramatically increasing AI team productivity.

Watch the video  

Power your next breakthrough

Redefine AI experiments with distributed training and collaborative resources at scale.

View the brief  

Technical specifications

Everything HPE Machine Learning Development Environment delivers, at a glance.

Train models faster

ML engineers train models faster and take advantage of distributed training without changing their model code.

Remove complexity and cost

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

Easier, faster ML team collaboration through simpler model reproducibility and experiment tracking.

Flexible AI infrastructure support

Broad infrastructure flexibility to run on a variety of compute environments, cloud and on-premises.

Solution Brief

Build better AI models faster

See how HPE Machine Learning Development Environment helps engineers and data scientists collaborate to build, train, and reproduce more accurate ML models faster at any scale — without managing infrastructure.

Take the next steps with HPE GreenLake

Take the next steps

Ready to get started? Explore purchasing options, take HPE GreenLake for a no-cost, no-obligation test drive, or engage with HPE experts to find the best solution for your business.