Polyaxon EE

On-premise Enterprise ML platform for comprehensive control, security, and premium support.

by Polyaxon · Scientific Computing

Executive Summary

Polyaxon EE is an on-premise Enterprise Edition control plane designed for larger organizations requiring robust, self-hosted solutions for their machine learning operations. It provides a comprehensive set of features for managing the entire machine learning lifecycle, including continuous upgrades, enhanced security, advanced monitoring, and compliance capabilities. This edition ensures high scalability for deep learning and machine learning workloads on Kubernetes, allowing organizations to maintain full control over their data and infrastructure. It is complemented by premium support, making it ideal for enterprises that prioritize data residency, security, and dedicated assistance for their MLOps initiatives.

Use Cases

  • Managing the full machine learning lifecycle on-premise within enterprise infrastructure.
  • Orchestrating and tracking deep learning and machine learning experiments at scale.
  • Ensuring security and compliance for sensitive ML workloads in regulated environments.
  • Scaling ML operations across multiple namespaces and Kubernetes clusters.
  • Integrating custom APIs and webhooks to extend and automate internal ML workflows.

Features

Visibility

  • Polyaxon Dashboard: Centralized interface for tracking and visualizing experiment metrics, artifacts, and logs across all ML projects.
  • Scalable API & Scheduler: Horizontally scalable components for managing and orchestrating ML workloads over multiple namespaces and Kubernetes clusters.

Intelligence

  • Experiment Tracking API: A high-level API for logging parameters, code versions, metrics, and outputs when running machine learning code.
  • Distributed Experiment Support: Ability to schedule, run, and track distributed PyTorch and other ML experiments at scale.

Support

  • Premium Support: Dedicated premium support for enterprise customers, ensuring operational continuity and expert assistance.
  • Issue Tracker & Slack Channel: Access to an issue tracker and a Slack channel for community and direct support interactions.

Technical Specifications

Architecture
Scalable control plane and agents on Kubernetes, with horizontally scalable API and scheduler components.
Deployment
On-Premise
API Available
Yes

Infrastructure

  • Kubernetes

AI/ML Stack

  • PyTorch
  • XGBoost
  • FastAPI
  • Flask

Integrations

  • FastAPI
  • Flask
  • XGBoost
  • PyTorch
  • Webhooks
  • Custom API

Pricing

Model
Subscription-based for Enterprise Edition
Starting Price
Contact sales
Target Customer
Enterprise
Free Trial
No

About Polyaxon

Polyaxon offers an MLOps platform designed for building, training, and monitoring machine learning and deep learning models. It provides both an open-source, Kubernetes-native platform and managed SaaS solutions, focusing on reproducibility, automation, and scalability for ML experiments and pipelines.

Founded: 2016 · Headquarters: Berlin, Germany · Employees: 11-50 · Private