Collaborate and train ML models at enterprise scale

Secure, cost-efficient collaboration across machine learning teams

Built upon the widely popular open source Determined Training Platform, HPE Machine Learning Development Environment helps developers and scientists focus on innovation by removing the complexity and cost associated with machine learning model development. Our platform accelerates time-to-production by removing the need to write infrastructure code, and makes it easy to set-up, manage, secure, and share Artificial Intelligence (AI) compute clusters. With HPE Machine Learning Development Environment, you can:

  • Train models faster
  • Build more accurate models
  • Manage GPU costs
  • Track and reproduce experiments
Innovations
Build models, not infrastructure

Train models faster using state-of-the-art distributed training. Find better modules with advanced hyperparameter tuning. Get more from your GPUs with smart on-prem and cloud scheduling. Track and reproduce your work with built-in experiment tracking. 

Build models, not infrastructure

Train models faster using state-of-the-art distributed training. Find better modules with advanced hyperparameter tuning. Get more from your GPUs with smart on-prem and cloud scheduling. Track and reproduce your work with built-in experiment tracking. 

Distributed Training
Hyperparameter Tuning
Experiment Tracking
Resource Management
Distributed Training
Distributed Training

Train at Any Scale

Take advantage of distributed training without changing your model code. HPE Machine Learning Development Environment manages the provisioning of machines, networking, data loading, and fault tolerance to make distributed model training fast and easy.

Hyperparameter Tuning
Hyperparameter Tuning

Automatically Find High-Quality Models

Build more accurate models faster with scalable hyperparameter search, seamlessly orchestrated by HPE Machine Learning Development Environment. State-of-the-art tuning algorithms and hyperparameter search visualizations reduce the time and cost needed to find better models.

Experiment Tracking
Experiment Tracking

Analyze Your Results

Easily interpret your experiment results, reproduce your experiments with artifact tracking, and deploy your model using HPE Machine Learning Development Environment’s built-in model registry.

Resource Management
Resource Management

Share Cluster Resources

Easily share on-premise or cloud GPUs with your team. HPE Machine Learning Development Environment’s cluster scheduling offers first-class support for machine learning and seamless spot instance support.

HPE Machine Learning Development Environment extends open-source software

The foundation for the HPE Machine Learning Development Environment is an open-source machine learning training platform called Determinedwhich HPE acquired in June 2021. Model developers can start training models on the open-source version of Determined to easily run, scale and share experiments. HPE Machine Learning Development builds upon Determined's world-class capabilities to support training at enterprise-scale. In addition to premium support, it includes advanced security and tools for monitoring and observability. 

Model development and training

HPE Machine Learning Development Environment integrates these features into an easy-to-use, high-performance machine learning environment — which means you can spend your time building models instead of managing infrastructure.

Built on open-source software, developed for enterprise

HPE Machine Learning Development Environment is a full-featured machine learning training platform for teams to collaborate and train models at enterprise scale. Built on top of the world-class capabilities of the Determined open-source deep learning training platform, HPE Machine Learning Development Environment includes additional advanced security features – like Single Sign-On (SSO) via SAML and automated user provisioning via SCIM - as well as premium support, provided by our team of ML and distributed systems experts.

Train models in hours and minutes, not days and weeks

Ship models faster and do more science

Our machine learning platform enables you to train models in hours and minutes, not days and weeks.

Focus on research and models

Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources.

Expert-built for expert teams

We’re dedicated to the science of machine learning and are leaders in productionizing ML workflows, and we can’t wait to help your team thrive. 


Your team, your infrastructure, your tools – we support it all

Serious compatibility

HPE Machine Learning Development Environment works with the leading machine learning frameworks — PyTorch, TensorFlow, and Keras. We support a variety of data storage systems and make it easy to export models to downstream serving systems.

Your infrastructure, your choice

Our platform integrates with your hardware whether you’re in the cloud or on-premise.

Get the most out of your hardware

We’re dedicated to the science of machine learning and are leaders in productionizing ML workflows, and we can’t wait to help your team thrive. 

Learn more

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