
Kubernetes architecture for ML workloads
A practical overview of Kubernetes architecture and how its control plane, worker nodes, services, and storage affect ML workloads.
Practical guides to building, running, and improving ML and AI in production.
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A practical overview of Kubernetes architecture and how its control plane, worker nodes, services, and storage affect ML workloads.

Organization's owners and managers can now invite read-only seats and billing seats to their organization.

Organization's owners and managers can create service accounts to issue tokens for CI/CD/CT services.

How to turn the runs table into a heatmap using the new heat field feature.

The queues table shows now a saturation bar for queues with quotas or concurrency limits and stats about the runs assigned to each queue.

A new logger for the HuggingFace transformer library.

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/...