HPE Ezmeral ML Ops

A solution that brings DevOps-like agility to the entire machine learning lifecycle

HPE Ezmeral ML Ops Overview

The HPE Ezmeral ML Ops solution supports every stage of ML lifecycle—data preparation, model build, model training, model deployment, collaboration, and monitoring. HPE Ezmeral ML Ops is an end-to-end data science solution with the flexibility to run on-premises, in multiple public clouds, or in a hybrid model and respond to dynamic business requirements in a variety of use cases.

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Categories:
All
MLOps
Data
Data+MLOps

System-wide Features:
Teamwork and Collaboration
Enterprise Security
Governance
Enterprise Support

MLOps Features:
Data Acquisition
Data Versioning
Data Visualization
Data Preparation
Data Pipelines
Data Labeling
AutoML
Featurization
Feature Store
ML Pipelines or Workflows
Model Registry
Model Marketplace
Model Training
Distributed Model Training
Model Debugging
Experiment Management
Deep Learning Support
Reinforcement Learning Support
Bias Detection and Mitigation
Model Explainability
Hyperparameter Optimization
Model Packaging
Model Deployment and Serving
Edge ML Support
Model Monitoring
Cost Management
ML Infrastructure Orchestration
Accelerator Support
Kubernetes Support

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Additional Product Information

Product Links

Website

Use Cases

Community

Deploys On

Amazon Web Services
Google Cloud Platform
Microsoft Azure
Other Public Cloud
Kubernetes
NVIDIA
Private Cloud or Datacenter
SaaS

Hewlett Packard Enterprise Vendor Information

Vendor Overview

Formerly known as Technology Solutions Group, HP Enterprise Business is the largest global business unit of HP, and offers servers, storage, software, and information technology services for enterprise and midmarket business customers to manage their IT environments. It includes Enterprise Storage, Servers, and Networking (ESSN), HP Enterprise Services, and HP Software Division. Subsidiaries of HP Enterprise Services include HP Networking.