| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
A CI/CD and automation platform built into GitHub for building, testing, and deploying code directly from repositories. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$0.008/minute) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Workflow automation
- Matrix builds
- Reusable workflows
- Marketplace actions
- Self-hosted runners
- Artifacts
- Caching
- OIDC support
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Integrated with GitHub
- Great marketplace
- Free for public repos
- Easy to start
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- YAML complexity
- Debugging is hard
- Minute limits on free
- Runner performance varies
|
