Polyaxon Cloud
Fully managed control plane for MLOps orchestration and secure deployments.
Executive Summary
Polyaxon Cloud provides a fully managed control plane for MLOps, streamlining the entire machine learning lifecycle. It offers essential capabilities such as 1-click deployment, robust orchestration, comprehensive logging, and automated backups. The platform also ensures seamless upgrades and strong security measures, allowing teams to focus on model development rather than infrastructure management. While Polyaxon Cloud is not a fully managed solution in its entirety, it specifically manages the core control plane components including the API, metadata management, and scheduling. This hybrid approach allows organizations to leverage the benefits of a managed service for critical MLOps infrastructure while maintaining flexibility over their underlying compute resources. It aims to simplify the operational complexities of MLOps for data scientists, team leads, architects, and executives.
Use Cases
- Orchestrating and scaling machine learning experiments
- Tracking and managing ML models, metrics, and artifacts
- Automating ML CI/CD pipelines with webhooks
- Deploying and serving ML models (e.g., with FastAPI)
- Managing distributed training for frameworks like PyTorch and XGBoost
Features
Visibility
- Centralized Dashboard: Monitor all MLOps activities, experiment runs, job statuses, and resource utilization from a single interface.
- Experiment Tracking: Track and visualize metrics, parameters, artifacts, and logs for every experiment run.
- Model Lineage & Versioning: Maintain a clear history of models, their versions, and associated experiments and data.
Intelligence
- Distributed Training: Orchestrate and scale distributed training jobs for popular ML frameworks across clusters.
- Artifact & Model Management: Manage and version machine learning artifacts, datasets, and trained models.
- ML CI/CD Automation: Automate continuous integration and delivery for machine learning pipelines using webhooks and custom integrations.
Support
- Issue Tracker: Access a dedicated platform for reporting and tracking issues.
- Slack Channel: Engage with the Polyaxon community and support team via Slack.
- FAQ & Resources: Access a comprehensive knowledge base, FAQs, and documentation for self-service support.
Technical Specifications
- Architecture
- Kubernetes-native control plane with open-source core and AI workload governance
- Deployment
- Hybrid
- API Available
- Yes
Infrastructure
- Kubernetes
- GPU clusters
- Cloud
- On-prem
AI/ML Stack
- PyTorch
- XGBoost
- Fastai
- Ray
- Dask
- Spark
- Horovod
- MPI
- LoRA
- SFT
Integrations
- Custom API
- FastAPI
- Webhooks
- PyTorch
- XGBoost
- Fastai
Pricing
- Model
- Free tier available; paid subscription for Cloud/EE
- Starting Price
- Start free
- Target Customer
- Mid-Market,Enterprise,SMB
- Free Trial
- Yes
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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