The latest guides, tutorials, and product updates.
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.
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.
Polyaxon v1.10 release of our MLOps platform brings several new features and improvements to the search and dashboarding experience.
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.
Today, we are pleased to announce the v1.8 release of our MLOps platform, a stable version that brings several new rendering and UI features and scheduling enhancements.
Today, we are pleased to announce the v1.7 release of our MLOps platform, a stable version that brings several new features, enhancements, and fixes. This release does not introduce any breaking changes and is fully compatible with previous releases.
Today, we are pleased to announce the v1.6 release of our MLOps platform, a stable version which brings several new visualization features, scalable operator concurrency enhancements, and fixes.
Today, we are pleased to announce the v1.5 release of our MLOps platform, a stable version which brings several new features and enhancements to performing map-reduce operations on Kubernetes.
Today, we are pleased to announce the v1.4 release of our MLOps platform, a stable version which brings several new features and enhancements to our component hub for reusable Kubernetes workload templates and a built-in model registry.
Today, we are pleased to announce the v1.3 release of our MLOps platform, a stable version which brings several new features and improvements to the managed hyperparameter optimization capabilities on Kubernetes and lineage tracking system.
Today, we are pleased to announce the v1.1.8 release, a stable version which brings several new features, enhancements, and fixes. This release does not introduce any breaking changes and is fully compatible with previous releases (> v1.0.9).
Today, we are pleased to announce the v1.0.8 release of our MLOps platform, a stable version which brings significant improvements to Polyaxon’s user experience.
Today, we are pleased to announce the v0.5 release of our MLOps platform, a stable version which brings significant improvements to Polyaxon’s deployment and management experience, model management and Machine Learning (ML) workflows automation.
Today we are not announcing a new release of our Product, instead we would like to update our users and community about some changes and short-term roadmap of our product.
Today, we are pleased to announce the v0.4.3 release of our MLOps platform, a stable version with improved functionalities and documentation.
Polyaxon now integrates with Kubeflow, Horovod, and MPI natively.
Polyaxon v0.4 added integrations, machine learning CI, experiment tracking, cloud storage support, TPU scheduling, and workflow improvements.
Today’s release is the first step towards experiments comparison on Polyaxon and overall model analysis.
We’re pleased to announce the new release of Polyaxon 0.2.3. Today’s release continues to focus on internal improvements and stability, and make the best experience to run and scale machine learning on Kubernetes.
The new version of Polyaxon comes with a lot of new features, bug fixes, and performance enhancement.
This post tries to answer a couple of practical questions about the project and the intent behind it’s creation.