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Polyaxon
What it is
Polyaxon is an AI engineering control plane for machine-learning training, inference, and agent workloads on Kubernetes. It records run parameters, metrics, logs, code versions, artifacts, lineage, and runtime state for experiment tracking. Its orchestration handles jobs, services, DAGs, schedules, sweeps, distributed workloads, and reusable components. Polyaxon can launch isolated environments with controlled filesystems, network access, tools, SSH, and runtime policies. Evaluation and observability include offline and online evaluations, logs, traces, metrics, health checks, alerts, and dashboards. Integrations listed by the maker include PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack, and Datadog. Deployment is available as managed cloud or self-hosted Community and Enterprise editions. The core is Apache 2.0 licensed. Self-hosted installations can run offline or air-gapped, with region and provider choice. Community Edition is free for one cluster and namespace; paid access starts at $555/mo.
For and against
For
- Tracks experiments, artifacts, lineage, and runtime state
- Supports distributed jobs, DAGs, schedules, and sweeps
- Isolated environments with runtime policies
- Managed cloud and self-hosted deployment choices
- Free Community Edition for one cluster and namespace
Against
- Paid plans start at $555/mo
- Community Edition covers one cluster and namespace
- Kubernetes is required for its workloads
- Security certifications are still in progress
The verdict
Polyaxon combines Kubernetes workload orchestration with experiment tracking, model serving, and evaluation tools. Its free Community Edition offers a limited starting point, while broader use requires the paid tier or self-hosted deployment.
Who it suits
It suits AI and machine-learning teams running workloads on Kubernetes that need experiment tracking, orchestration, serving, and evaluations. Self-hosting options fit organizations requiring offline or air-gapped deployment.
Plans and prices
Polyaxon Community Edition
single cluster · single namespace · no limit on number of nodes
Read 4 Oct 2026 · polyaxon.com
On the record
- Agents and sandboxes
- It can launch isolated execution environments with controlled filesystems, network access, tools, SSH, and runtime policies.polyaxon.com · read 4 Oct 2026
- Data control
- The maker says self-hosted deployments can run fully offline or air-gapped, and customers can choose their region and provider.polyaxon.com · read 4 Oct 2026
- Deployment
- Polyaxon offers a managed cloud service and self-hosted deployments, including Community and Enterprise editions.polyaxon.com · read 4 Oct 2026
- Evaluation and observability
- It supports offline and online evaluations and monitoring with logs, traces, metrics, health checks, alerts, and dashboards.polyaxon.com · read 4 Oct 2026
- Experiment tracking
- It captures run parameters, metrics, logs, code versions, artifacts, lineage, and runtime state.polyaxon.com · read 4 Oct 2026
- Integrations
- The site lists integrations including PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack, and Datadog.polyaxon.com · read 4 Oct 2026
- Open source
- Polyaxon says its core is Apache 2.0 licensed and can be inspected, extended, and self-hosted.polyaxon.com · read 4 Oct 2026
- Orchestration
- It supports jobs, services, DAGs, schedules, sweeps, distributed workloads, and reusable components.polyaxon.com · read 4 Oct 2026
- Purpose
- Polyaxon is an AI engineering control plane for running machine learning, training, inference, and agent workloads on Kubernetes.polyaxon.com · read 4 Oct 2026
- Security and compliance
- Polyaxon says it is working toward SOC 2 Type II and ISO 27001 certifications and conducts regular external penetration tests.polyaxon.com · read 4 Oct 2026
- Support
- For self-hosting issues, the setup guide directs users to troubleshooting, GitHub Discussions, or GitHub bug reports and feature requests.polyaxon.com · read 4 Oct 2026
