Polyaxon

What Polyaxon is

Polyaxon is an AI engineering control plane for machine learning and agent workloads on Kubernetes. It covers training and inference as well as agent tasks, capturing run parameters, metrics, logs, code versions, artifacts, lineage and runtime state. For orchestration, it supports jobs, services, directed acyclic graphs, schedules, sweeps, distributed workloads and reusable components. It can launch isolated execution environments with controls for filesystems, network access, tools, SSH and runtime policies.

Evaluation and observability capabilities include offline and online evaluations, alongside logs, traces, metrics, health checks, alerts and dashboards. Listed integrations include PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack and Datadog. Organizations can use Polyaxon as a managed cloud service or deploy it themselves, with Community and Enterprise editions available. The maker says the core is licensed under Apache 2.0 and can be inspected, extended and self-hosted. Self-hosted deployments can run fully offline or air-gapped, and customers can choose a region and provider. The free Community Edition supports one cluster and one namespace with no node-count limit. The listing identifies a free plan and paid access from $555/mo.

Who it suits

Polyaxon suits engineering teams running machine learning, inference or agent workloads on Kubernetes that need experiment tracking and orchestration. Its self-hosted options, including offline deployments, may fit teams that need control over their deployment environment.

Limits

The free Community Edition supports one cluster and one namespace, with no limit on the number of nodes. Paid access starts at $555/mo.

Getting started

1. Visit the Polyaxon website.
2. Choose managed cloud or a self-hosted deployment.
3. For a self-hosted setup, follow the setup guide.
4. Choose the Community or Enterprise edition for a self-hosted deployment.
5. For self-hosting issues, use the troubleshooting guide, GitHub Discussions or GitHub bug reports and feature requests.

Verdict

Choose Polyaxon if you need a Kubernetes control plane that combines experiment tracking, workload orchestration and evaluation, with managed and self-hosted deployment choices. Check the Community Edition's one-cluster and one-namespace scope; paid access starts at $555/mo.