Tools:

Polyaxon: AI control plane to schedule, run, debug, observe, and automate AI/ML workloads, agents, and sandboxes on your infrastructure. (AIOps/MLOps/AgentOps) | code

MLOperator: Machine learning operator & controller for Kubernetes | code

TraceML: Engine for ML/Data tracking, visualization, dashboards, and model UI for Polyaxon | code

HyperTune: A library for performing hyperparameter optimization | code

Sandbox: Sandbox daemon for running AI agents and interactive sessions for Polyaxon | code

Haupt: Lineage metadata API, artifacts streams, sandbox, ML-API, and spaces for Polyaxon | code

Gatewayai: Unified LLM provider abstraction with streaming, adapters, credential pooling, and HTTP/SSE access | code

Helm Charts: For creating reproducible and maintainable deployments of Polyaxon with Kubernetes | code

CLI: Polyaxon Core Client & CLI | code

Vents: Connections catalog, integrations, tools, alerting, and notifications library | code

SDKs: Low level clients & language interfaces | code

Deployment options:

Community Edition: Get started locally or on your own cluster with our Machine learning management & orchestration Platform (MLOps) | website

Hybrid Cloud Deployment: A fully managed control plane for end to end ML/AI/data science orchestration, with on-premise security | website

Enterprise Edition: A powerful offering for larger organizations in need of security, monitoring, compliance, faster data scientists onboarding, higher performance, granular access, ... | website

Links: