| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
A continuous integration and delivery platform for automating build, test, and deployment pipelines at scale. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$15/user/month) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- CI/CD pipelines
- Docker support
- Parallelism
- Caching
- Orbs (reusable config)
- Insights
- Self-hosted runners
- Matrix jobs
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Fast builds
- Good Docker support
- Orbs reusability
- Powerful parallelism
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Complex YAML config
- Debugging can be difficult
- Credit-based pricing confusing
- Outages have occurred
|
