| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
The leading feature management platform for controlling feature flags, A/B testing, and progressive rollouts at scale. |
| Pricing |
Pay-per-use ($$-$$$$) |
Subscription ($10/seat/month) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Feature flags
- Targeting
- Experimentation
- Progressive rollouts
- SDK support
- Audit logs
- Workflows
- Segments
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Industry leader
- Powerful targeting
- Many SDK integrations
- Enterprise-grade
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Expensive
- Complex for simple flags
- Learning curve
- Overkill for small projects
|
