
Polyaxon v1.13: Easy hyperparameter tuning from CLI
Users can now use the cli to pass hyperparaeter directlu from the CI without creating a YAML file.
Practical guides to building, running, and improving ML and AI in production.
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Users can now use the cli to pass hyperparaeter directlu from the CI without creating a YAML file.

Polyaxon v1.12 release of our MLOps platform builds on top of the previous version and brings new features and improvements to the specification and dashboard experience.

Improved init section with support for promoted models and artifacts.

New hyperparam generators for dates and datetimes and Backfill scheduling strategy.

A new feature for IO and Params sectiosn to turn parameters to environment variables `toEnv`.

Managing cross project runs and moving runs from one project to another to re-organize or refactor previous work.

Admins can create predefined tags with colors and specific description to organize projects and runs.

Improved table - dashboard layout and resizing.

A new feature to automatically query or exclude runs based on a value directlu from the table cells.

A new feature to compare runs.

Turn recurring Kubernetes incident patterns into practical controls for initial access, workload isolation, identity, software supply chains, detection, and response.

Polyaxon v1.11 release of our MLOps platform builds on top of the previous version and brings new features and improvements to the dashboarding experience.

Reworked logs UI with new features and several fixes.

Improved inspection and monitoring capabilities and Container Shell debugging in the UI.

Improved rendering and faster events loading, new plotting and charts capabilities, improved resizing and caching.

Effective data science and MLOps involve a number of different practices and approaches that aim to improve the efficiency and effectiveness of data science and machine learning (ML) workflows. These are the core principles and practices that can contribute to effective data science and MLOps.

Polyaxon v1.10 release of our MLOps platform brings several new features and improvements to the search and dashboarding experience.

Organization owners can now set resources quotas on their queues to limit operations concurrecy based on CPU/Memory/GPU/TPU/...

The search and filtering experience was improved with suggestions, multi-run actions, browser persistence, and many more enhancements.

The new dashboarding capabilities allows users to define advanced dashboards and visualizations widgets.

Use kubectl run to create quick pods for testing images, commands, ports, and dry-run manifests in a Kubernetes cluster.

Today, we are pleased to announce the v1.9 release of our MLOps platform, a stable version that brings several new guides for serving machine learning REST APIs on Kubernetes, running Tensorboard in sync mode, new upload command improvements, new copy mode capabilities, and a UI based connections management.

Organization owners and managers can now add, update, and delete connections directly from the UI.

Polyaxon compiler has a uniform logic to deal with pending runs.