| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
A distributed SQL database designed for global scale with automatic data replication and strong consistency. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$0.50/vCPU-hour) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Distributed SQL
- PostgreSQL compatible
- Multi-region
- Auto-scaling
- Survivability
- Geo-partitioning
- Change data capture
- Managed service
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Survives outages
- Global distribution
- PostgreSQL wire protocol
- Generous free tier
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Complex for simple apps
- Can be expensive at scale
- Learning curve
- Fewer tools than PostgreSQL
|
