Polyaxon Product

An enterprise-grade platform for agile, reproducible, and scalable machine learning.

Product
Data connectors & data streaming
Data connectors & data streaming
Compute resources
Compute resources
Hardware accelerators
Hardware accelerators
Compute
Compute
Scheduling
Scheduling
Containerazation
Containerazation
Storage
Storage
Orchestration
Orchestration
Quotas management
Quotas management
Resource access
Resource access
Security
[Not supported by viewer]
Experimentation
Experimentation
Tracking
Tracking
Reproducibitly
Reproducibitly
Knowledge Center
Knowledge Center
Optmization
Optmization
Auditing
Auditing
Management
Management
Insights & Access
Insights & Access
Visualization
Visualization
Comparison
Comparison
Polyaxon API
[Not supported by viewer]
Polyaxon CLI
[Not supported by viewer]
Polyaxon Clients
[Not supported by viewer]
Pipelining
Pipelining
Plugins
Plugins
Enterprise Plugins
Enterprise Plugins
Search
Search
Dashboarding
Dashboarding
Roles
Roles
Config Interface
Config Interface
Community Edition
Community Edition
Enterprise Edition
Enterprise Edition

Ready to give it a try?

Start with one of our free solutions today, or get in touch to learn more about our enterprise offering!

Tracking

Polyaxon let's you automatically track key model metrics, hyperparams, visualizations, artifacts and resources, and version control code and data.

Once Polyaxon has been integrated into your model, each experiment and every trained model’s set of hyperparameters is recorded and viewable from the dashboard. Never again will you need to search through local config files to find that set of hyperparameters which performed well.

ClientRest API
Tracking Interface
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Knowledge Center
Knowledge Center
Logs
Logs
Metrics
Metrics
Parameters
Parameters
Storage Interface
Storage Interface
Artifacts
Artifacts
Outputs
Outputs
Data
Data
SDKs
Lightweight Integration

Add Polyaxon to your code with just a few lines, and we'll automatically capture and log system metrics for you.

Log anything
  • Enable hyperparams and metrics logging for performance measurement
  • Data, artifacts, and outputs logging for pipelines and reproducible experiments
  • Centralize your runs’ logs
Compare runs
  • Search and get better understanding of your experiments performance
  • Enable access to multiple dashboarding and vizualuasation tools
Integrate with with git

Link between code and model in very easy without altering your workflow

Orchestration
ClientsRest API
Auth
Auth
ACL
ACL
Security
Security
Scheduling
Scheduling
SDKsDashboard
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment

Maximize the usage of your cluster by scheduling jobs and experiments via our CLI, dashboard, SDKs, or REST API.

Develop models at any scale
  • Leverage advance scheduling schemas without wasting time on devops
  • Schedule parallel and distributed runs for rapid iterations
  • Maximize utilization of computing resources to scale the volume, variety, and complexity of models in development and production
Elastic and Auto Scaling
  • Grow and shrink compute resources elastically as needed
  • Add GPUs and resources to your cluster as needed
Hybrid Resources
  • Train experiments on the cloud, on premise, or local machines and keep track of results and artifacts
  • Manage all resources and workflows in a single interface
Restart experiments and jobs
  • Polyaxon knows how to schedule an experiment to run with the same conjugation and parameters to reach the same results
  • Automate repeatable tasks that do not benefit from domain expertise so your experts focus their effort where it will have the greatest impact
Insights
Experiments
Experiments
Jobs
Jobs
Builds
Builds
Pipelines
Pipelines
Metrics
Metrics
Parameters
Parameters
Code
Code
Artifacts
Artifacts
Logs
Logs
Resources
Resources
Knowledge center
Knowledge center
ComparisonInsightsVisualzationSearch
Tracking
Tracking
Monitoring
Monitoring

Visualize, search, and compare experiment results, hyperparams, training data and source code versions, so you can quickly analyze what worked and what didn’t.

Reproduce and analyze your experiments with the built-in insights dashboard.

Monitor, track, and analyze every single optimization experiment with the experiment insights dashboard. Reproducing experiments and results is one of the greatest challenges for the best modeling teams, and the built-in insights dashboard provides a visual interface for experimentation.

Enable analysis of past experiments through a powerful and interactive dashboard
  • Use various visualizations and graphs to derive insights from the experiments
  • Get accurate information about the importance of your Parameters
Experiment comparison

Compare experiment results, hyperparams, versions of training data and source code, so you can quickly analyze what worked and what didn’t

Auto-documentation

Automatically discovers and documents the success metrics, hyperparams, source code, data, visualizations, artifacts and resources used in each experiment

Experiment history

See the full experiment history at a glance, including when, who and where

Plugins for additional graphing and visualization

you can easily start various tools to enable data explorations and metrics visualizations

Insights for single researcher as well as large organizations
  • View other teammates’ experiments
  • Have enterprise-grade access control, team management, and usage monitoring features for data science managers and executives.
Collaboration

A single system for your entire experimentation process

Create a knowledge center through auto documentation.

Avoid manual documentation and take advantage of the built-in reproducibility framework to keeps track of all activities

Have an enterprise-grade access control and team management

Facilitate collaboration with a shared context to speed up idea generation, and use the monitoring features for data science managers and executives

enable knowledge transfer in your team.

Create a searchable environment to rerun experiments and avoid duplicate work