Polyaxon CE
Free Community Edition for managing ML experiments on Kubernetes.
Executive Summary
Polyaxon Community Edition (CE) is a free, self-hosted platform built on Polyaxon's open-source tools, designed for managing machine learning experimentation on Kubernetes. It provides core features necessary for ML engineers and data scientists to build, monitor, and scale their machine learning workloads efficiently within their own infrastructure. Polyaxon CE enables users to track parameters, code versions, metrics, and outputs of their ML experiments through a high-level API. It supports various ML frameworks like PyTorch, XGBoost, and Fastai, allowing for seamless integration and orchestration of diverse ML projects. The platform also offers capabilities for custom API integrations and webhooks to extend its functionality and integrate with existing internal systems. By leveraging Kubernetes, Polyaxon CE offers a robust and scalable environment for ML development, allowing teams to manage the entire lifecycle of their experiments from development to deployment. It provides essential tools for experiment tracking, visualization, and resource management, making it an ideal choice for individuals and teams looking to get started with MLOps on a powerful, open-source foundation.
Use Cases
- Orchestrating and managing machine learning experiments on Kubernetes.
- Tracking metrics, parameters, and artifacts for ML models.
- Scaling distributed machine learning workloads.
- Integrating with popular ML frameworks like PyTorch and XGBoost.
- Automating ML experiment lifecycle from development to deployment.
Features
Visibility
- Experiment Dashboard: Monitor the status, progress, and results of all machine learning experiments in a centralized view.
- Resource Monitoring: Track resource utilization for experiments running on Kubernetes.
Intelligence
- Tracking API: Log parameters, code versions, metrics, and outputs for comprehensive experiment tracking.
- Artifact Management: Manage and version models, datasets, and other artifacts generated during experiments.
Support
- Issue Tracker: Report bugs and request features through a dedicated issue tracking system.
- Slack Channel: Engage with the Polyaxon community and get support via Slack.
- FAQ: Access frequently asked questions for common issues and guidance.
Technical Specifications
- Architecture
- Open-source AI control plane on Kubernetes
- Deployment
- Self-Hosted
- API Available
- Yes
Infrastructure
- Kubernetes
- GPU clusters
- Cloud
- On-prem
- Hybrid
AI/ML Stack
- PyTorch
- XGBoost
- Fastai
- Ray
- Dask
- Spark
- MPI
- Horovod
- LoRA
- SFT
Integrations
- FastAPI
- Flask
- PyTorch
- XGBoost
- Fastai
- Webhooks
- Custom API
Pricing
- Model
- Free
- Starting Price
- Free
- Target Customer
- SMB,Mid-Market,Enterprise
- Free Trial
- No
About Polyaxon
Polyaxon offers an MLOps platform designed for building, training, and monitoring machine learning and deep learning models. It provides both an open-source, Kubernetes-native platform and managed SaaS solutions, focusing on reproducibility, automation, and scalability for ML experiments and pipelines.
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