| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Google's app development platform with real-time database, authentication, hosting, and machine learning features. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-pay-as-you-go) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Realtime Database
- Firestore
- Authentication
- Cloud Functions
- Hosting
- Cloud Messaging
- Analytics
- Remote Config
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Comprehensive BaaS
- Real-time sync
- Good documentation
- Free tier generous
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- NoSQL limitations
- Vendor lock-in
- Can get expensive
- Pricing unpredictable at scale
|
