Polyaxon Product

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

Product
Data connectors & data streaming
Data connectors & data...
Compute resources
Compute resources
Hardware accelerators
Hardware accelerators
Compute
Compute
Scheduling
Scheduling
Containerization
Containerization
Storage
Storage
Orchestration
Orchestration
Quotas Management
Quotas Management
Resources Access
Resources Access
Queues & Routing
Queues & Routing
Experimentation
Experimentation
Tracking
Tracking
Reproducibility
Reproducibility
Knowledge Center
Knowledge Center
Plugins
Plugins
Bookmarking & Auditing
Bookmarking & Auditing
Management
Management
Insights & Access
Insights & Access
Visualization
Visualization
Comparison
Comparison
API
API
Alerts
Alerts
Optimization
Optimization
Workflows
Workflows
Search
Search
Dashboarding
Dashboarding
Roles & Restrictions
Roles & Restrictions
Config Interface
Config Interface
Community Edition
Community Edi...
Enterprise Edition
Enterprise Ed...
Concurrency Control
Concurrency Control
Lineage
Lineage
ML Apps
ML Apps
Caching Layer
Caching Layer
Events & Hooks
Events & Hooks
Joins
Joins
Component Hub
Component Hub
Model Registry
Model Registry
Custom Actions
Custom Actions
Spark Operator
Spark Operator
Kubernetes Native Primitives
Kubernetes Native Primi...
Kubeflow Operators
Kubeflow Operators
CLI
CLI
Clients
Clients
Events
Events
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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 hyperparameter configuration is recorded and viewable from the dashboard. Never again will you need to search through local config files to find that set of parameters 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 visualizations

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
Optimization engine
ClientsRest API
Auth
Auth
ACL
ACL
Security
Security
Scheduling
Scheduling
SDKsDashboard
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment
Optimization Engine
Optimization Engine
Tracking
Tracking

Use our optimization algorithms to effectively run parallel experiments and find the best model.

Enable Rapid iteration and ideation process
  • Perform model selection and architecture search to transform the model development process
  • Develop high-performing, differentiated models at a faster rate to amplify the impact of these models on your business
Access large number of algorithms to search large hyperparmeters spaces
  • Automate your model tuning and parameters search
  • Use hyperparameter optimization to schedule large number of experiments
Use blackbox optimization to scale your models

Augment your data scientists with solutions to produce better models

Model Management
Experiments
Experiments
Optimzation
Optimzation
Insights
Insights
Knowledge center
Knowledge center
Deployment
Deployment
Monitoring
Monitoring
Governance
Governance

consistently and safely develop, validate, deliver, and monitor models that create a competitive advantage.

Get ahead and increase your return on investment by accelerating the developing and the running of models in consistent and rigorous ways.

Serve models on Kubernetes or on third-party services in seconds, using our CLI, API, or dashboard.

Add agility and drive innovation
  • Leverage your compute resources and tooling to give data scientists the agility they need to develop and deploy innovative models
  • Model development allows data scientists to rapidly develop models, experiment collaboratively, and extract intuitive insights
  • Deploy models to Production in a rigorous way to have impact on real business decisions and drive real value
Add governance
  • Enhance your Model Governance by monitoring and maximising the performance of your models
  • Establish rigorous model CI/CD to centralize knowledge, insights, and artifacts generated while building or using the models
  • Find, reuse, and build upon to drive rapid innovation
Compliance

Reproduce results and meet regulatory compliance without any added work.

Manage risk that spans development and usage

Assign and manage permissions to facilitate collaboration and ensure privacy for model development and deployment

Reduce operational risk

Introduce rigorous yet auditable workflow through best practices, containerisation, and auto-documentation

Keep your data safe

Keep your data behind your firewall, and have a portable environment
Scalability
ClientsRest API
Scheduler
Scheduler
SDKsDashboard
Optimization Engine
Optimization Engine
Parallel experiments
Parallel experiments
Distributed experiments
Distributed experiments

Polyaxon provides a simple, transparent, and powerful way to maximize your cluster resources by running distributed models and concurrent experiments. Polyaxon takes care of scheduling, managing, and tracking all your jobs.

Polyaxon runs everywhere, on cloud and on premise, giving you full control over your data. You can scale up and down your infrastructure as needed.

No matter which programming language or libraries are in use or how code is structured, reproducibility and pipelines are based on input and output files.

Python, R, Julia, Scala, Spark, Dask, Ray, custom binary, Notebooks, flatfiles/TensorFlow, PyTorch, etc. are all supported.

ClientRest APISDKs
Scheduler
Scheduler
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment
Experiment

Use S3, Azure, GCP, SSH, SFTP, rsync or any network-attached storage to store data.

Polyaxon supports a growing list of supported protocols.

Ready to give it a try?

Start with one of our free solutions today!


Learn more!

Get in touch to learn more about our enterprise offering!