| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
A modern deployment platform that provisions infrastructure instantly with an intuitive interface and usage-based pricing. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay_per_use ($5/month + usage) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Instant provisioning
- Database hosting
- GitHub deploy
- Environment variables
- Observability
- Team collaboration
- Templates
- Private networking
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Incredibly easy to deploy
- Good developer experience
- Usage-based pricing
- Great templates
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Can get expensive
- Limited customization
- Newer platform
- Fewer enterprise features
|
