HPE Ezmeral ML Ops

An ML Ops solution that lets you build, train and deploy models with DevOps-like speed and agility to operationalize the machine learning lifecycle and accelerate your workloads.

Operationalize machine learning at enterprise scale

HPE Ezmeral ML Ops standardizes processes and provides pre-packaged tools to build, train, deploy and monitor machine learning workflows, giving you DevOps-like speed and agility at every stage of the ML lifecycle.

View the solution brief

Speed time to value

Manage and provision development, test, or production environments in minutes instead of days. Instantly on-board new data scientists without creating siloed development environments.

Improve productivity

Keep your team building models and analyzing results instead of waiting for training jobs to complete, while ensuring no loss in accuracy or performance.

Reduce risk

Leverage enterprise-grade security and access controls, track lineage for model governance and auditability, and trust high availability deployments to help ensure that critical applications do not fail.

Gain flexibility and elasticity

You can deploy on-premises, in the cloud, or in a hybrid model to suit your business requirements. HPE Ezmeral ML Ops autoscales clusters to meet the requirements of dynamic workloads.

What people are saying

“Our online games generate billions of data points every day. Using complex ML models, our data scientists leverage this data for prescriptive analytics to improve our players’ experience, lifetime value, and loyalty. With HPE Ezmeral software, we’re containerizing these ML and analytics environments to help improve operational efficiency and optimize our business.”

Alex Ryabov, Head of Data Services, Wargaming

“As a healthcare company, we have vast amounts of data, but it’s been difficult for data science teams to get access to that data and operationalize their analytics and machine learning pipelines. HPE Ezmeral has helped us to address these challenges with their containerized solution that has delivered faster time-to-insights, reduced our costs, and freed up our staff to innovate. It’s paying big dividends for our organization, and we look forward to continuing our journey together.”

Ramesh Thyagarajan, Executive Director, The Advisory Board Company (Optum)

“While most businesses are ramping up on the build and train phase of their AI/ML projects, they are struggling to operationalize the entire ML lifecycle from PoC to pilot to production deployment and monitoring. HPE is closing this gap by addressing the entire ML lifecycle with its container-based, platform-agnostic offering – to support a range of ML operational requirements, accelerate the overall time to insights, and drive superior business outcomes.”

Ritu Jyoti, Program Vice President, AI Strategies at IDC

“HPE’s solution enables data scientists and developers to quickly deploy sandbox environments for rapid innovation and then operationalize their models in production deployments.”

Mike Leone, Senior Analyst, Enterprise Strategy Group (ESG)

HPE Ezmeral ML Ops in action

HPE Ezmeral ML Ops overcomes “last mile” challenges with a platform that delivers a cloud-like experience, combined with pre-packaged tools, to operationalize the machine learning lifecycle from pilot to production. Watch the demos to see how it works.

Build and train a model with HPE Ezmeral ML Ops

See how to build and train a model in a Jypyter notebook in ML Ops using the EPIC container orchestration option built into the Ezmeral Container Platform.

Deploy the model with HPE Ezmeral ML Ops

Explore model management and model deployment, in ML Ops using the EPIC container orchestration option built into the Ezmeral Container Platform.

Set up a project repository with HPE Ezmeral ML Ops

See how to create new or update existing project repositories in ML Ops using the EPIC container orchestration option built into the Ezmeral Container Platform.

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.

ML Ops on-demand learning

Learn HPE Ezmeral ML Ops through on-demand courses that provide Artificial Intelligence (AI) and Machine Learning (ML) foundational knowledge as well as hands-on technical experience. With only an estimated 20% of ML projects making it into production, learn the basic concepts of AI and ML, and how learning algorithms work.

Training

Build machine learning projects

This course introduces learners to the most important aspects of putting together a machine learning project plan.
Training

Introduction to AI and machine learning

This course introduces learners to the basic concepts of AI and ML and covers how learning algorithms work.
Training

HPE Ezmeral on-demand course

Discover a wide variety of courses covering the HPE Ezmeral platform.

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