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Start here for the decision-making essentials: what Polyaxon does, who it is for, how it is accessed, and the first-party sources behind this profile.
Risk-free 14-day trial period on all plans, no credit card required
Polyaxon is an open-source Kubernetes-based platform for managing the deep learning and machine learning lifecycle, offering experiment tracking, parallel optimization, workflow automation, and a collaborative model registry for teams and enterprises.
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Short answers to the questions buyers and builders commonly ask about Polyaxon. Each answer cites the shared ledger below, where every source is listed once.
Automatically track key model metrics, hyperparams, visualizations, artifacts and resource · Schedule jobs and experiments via CLI, dashboard, SDKs, or REST API · Optimization algorithms for running parallel experiments to find the best model · Automatic tracking of model metrics, hyperparams, visualizations, artifacts and resources,
Automatically track key model metrics, hyperparams, visualizations, artifacts and resources, and version control code and data.
Individuals, teams, and organizations that need reproducibility, compliance, power, flexib
It is designed for individuals, teams, and organizations who need reproducibility, compliance, power, flexibility, and performance
MLOps lifecycle for data scientists and machine learning engineers, running on Kubernetes · Training, tracking, monitoring, and managing the data science lifecycle
Open source Machine Learning at scale with Kubernetes - MLOps Lifecycle for data-scientists & machine-learning engineers
Polyaxon Agent is part of the commercial offering and requires access to a Polyaxon EE Con
This is part of our commercial offering. If you are here, we assume that you have access to a Polyaxon EE Control Plane or Polyaxon Cloud.
Risk-free 14-day trial period on all plans, no credit card required · Platform plan is 100% free for academics; 25% off for early-stage startups (pre-Series A o
all plans come with a risk-free 14-days trial period. No credit card required.
Native REST API · APIs and UI provided for Model Registry and Artifacts Versioning · Python sandbox SDK surface with client helpers · Async organization, project, and run clients with async logs, status polling, artifact str
Native REST API ✅
This profile connects the jobs Polyaxon is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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HTTP 200 verified twice
Open source Machine Learning at scale with Kubernetes - MLOps Lifecycle for data-scientists & machine-learning engineers - Model & Data Cent
Open-source platform for managing deep learning and machine learning lifecycle · Kubernetes-based open-source machine learning platform · Automatic tracking of model metrics, hyperparams, visualizations, artifacts, and resources
Automatically track key model metrics, hyperparams, visualizations, artifacts and resources, and version control code and data
Schedule jobs and experiments via CLI, dashboard, SDKs, or REST API
Optimization algorithms for running parallel experiments to find the best model
MLOps lifecycle for data scientists and machine learning engineers, running on Kubernetes
AWS, Microsoft Azure, Google Cloud Platform, and on-premises hardware
Kubernetes-based, deployable on-premise or on any cloud provider
Free and open source core engine that can be self-hosted
Risk-free 14-day trial period on all plans, no credit card required
Platform plan is 100% free for academics; 25% off for early-stage startups (pre-Series A or less than 2 years)
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Polyaxon. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Does not access, copy, or upload user train/test/dev data or models
Polyaxon Inc.
Platform for managing the deep learning and machine learning lifecycle
Automatic tracking of model metrics, hyperparams, visualizations, artifacts and resources, plus code and data version control
Cluster orchestration by scheduling jobs and experiments via CLI, dashboard, SDKs, or REST API
Optimization algorithms for running parallel experiments and finding the best model
Built-in insights dashboard to visualize, search and compare experiment results, hyperparams, training data and source code versions
End-to-end model lifecycle: develop, validate, deliver and monitor models
Versioning of datasets and artifacts with provenance tracking (artifacts lineage)
Supports self-hosted Polyaxon Server and cluster deployments in addition to managed environments
Runs on AWS, Microsoft Azure, Google Cloud Platform, and on-premises hardware
Supports Amazon S3, Google Cloud Storage, Azure Blob Storage, volumes, HTTP endpoints, and intranet directories as cloud storage targets
Uses commercially reasonable physical, administrative and technological safeguards to protect information
Open-source platform for managing deep learning and machine learning lifecycle
Training, tracking, monitoring, and managing the data science lifecycle
Individuals, teams, and organizations that need reproducibility, compliance, power, flexibility, and performance
Kubernetes-based open-source machine learning platform
Self-hosted into any data center or cloud provider, or hosted and managed by Polyaxon
Core engine is open-source
Native REST API
Supports all major deep learning frameworks including Tensorflow, MXNet, Caffe, and Torch
Make machine learning and deep learning simple and accessible to enterprises
Open-source core with paid Polyaxon Cloud and Polyaxon Enterprise Edition (EE)
Direct email support for subscribers of Polyaxon Cloud or Polyaxon EE enterprise editions
Workflow management system for data pipelines and machine learning workflows with retries, logging, dynamic mapping, caching, and failure notifications
Authoring DAGs, running hyperparameter tuning of ML models, running jobs and pipelines in parallel, running components on schedule, and subscribing components to events
Fully distributed execution that scales to multiple nodes, clusters, and hundreds of thousands of concurrent executions with controlled concurrency and fault tolerance
Model Registry system that provides APIs and a UI for collaborative model management with versioning, lineage, and team-level access control
