| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Google's multimodal AI API supporting text, image, audio, and video understanding natively. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay-per-use (Free-$$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Gemini 1.5 Pro
- Gemini 1.5 Flash
- 1M token context
- Multimodal input
- Grounding
- Code execution
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Generous free tier
- Massive context window
- Native multimodal
- Google ecosystem integration
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Availability varies by region
- API changes frequently
- Complex pricing tiers
|
