Polyaxon
polyaxon.com
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. Orchestration covers jobs, services, DAGs, schedules, sweeps, distributed workloads and reusable components. Isolated execution environments can be launched with controlled filesystems, network access, tools, SSH and runtime policies. Evaluation and monitoring include offline and online evaluations, 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. Deployment is available through managed cloud or self-hosted Community and Enterprise editions. The core is Apache 2.0 licensed. A free Community Edition covers one cluster and namespace; paid access starts at $555/mo.
Spec sheet
- Purpose
- Polyaxon is an AI engineering control plane for running machine learning, training, inference, and agent workloads on Kubernetes.Read 4 Oct 2026 · polyaxon.com
- Deployment
- Polyaxon offers a managed cloud service and self-hosted deployments, including Community and Enterprise editions.Read 4 Oct 2026 · polyaxon.com
- Integrations
- The site lists integrations including PyTorch, TensorFlow, Hugging Face, LangChain, Ray, Dask, Spark, AWS, GCP, Azure, GitHub, GitLab, Slack, and Datadog.Read 4 Oct 2026 · polyaxon.com
- Support
- For self-hosting issues, the setup guide directs users to troubleshooting, GitHub Discussions, or GitHub bug reports and feature requests.Read 4 Oct 2026 · polyaxon.com
- Agents and sandboxes
- It can launch isolated execution environments with controlled filesystems, network access, tools, SSH, and runtime policies.Read 4 Oct 2026 · polyaxon.com
- Data control
- The maker says self-hosted deployments can run fully offline or air-gapped, and customers can choose their region and provider.Read 4 Oct 2026 · polyaxon.com
- Evaluation and observability
- It supports offline and online evaluations and monitoring with logs, traces, metrics, health checks, alerts, and dashboards.Read 4 Oct 2026 · polyaxon.com
- Experiment tracking
- It captures run parameters, metrics, logs, code versions, artifacts, lineage, and runtime state.Read 4 Oct 2026 · polyaxon.com
- Open source
- Polyaxon says its core is Apache 2.0 licensed and can be inspected, extended, and self-hosted.Read 4 Oct 2026 · polyaxon.com
- Orchestration
- It supports jobs, services, DAGs, schedules, sweeps, distributed workloads, and reusable components.Read 4 Oct 2026 · polyaxon.com
- Security and compliance
- Polyaxon says it is working toward SOC 2 Type II and ISO 27001 certifications and conducts regular external penetration tests.Read 4 Oct 2026 · polyaxon.com
Plans and prices
Strong points and limits
Strong points
- Tracks parameters, metrics, artifacts and lineage
- Supports distributed jobs and reusable components
- Offers managed cloud and self-hosted deployment
- Core is Apache 2.0 licensed
- Free Community Edition has no node-count limit
Limits
- Free edition is limited to one cluster and namespace
- Paid access starts at $555/mo
- SOC 2 Type II and ISO 27001 are still in progress
- Self-hosting support points to community channels
Who it suits
It suits AI and machine-learning teams running workloads on Kubernetes that need experiment tracking, orchestration and observability. Self-hosting supports organizations requiring offline or air-gapped operation.
Verdict
Polyaxon covers experiment records, workload orchestration, isolated agents and evaluation in a Kubernetes-focused control plane. The free edition is narrowly scoped, and paid pricing starts at $555/mo, so deployment requirements and budget should be checked first.
Where Specifiction places it
- Model Registry Software#17 of 367.3
- Model registries#18 of 387.6
- MLOps Platforms#16 of 297.2
- ML Experiment Tracking Software#23 of 397.3
- Experiment Tracking#13 of 227.3