| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
AI data platform providing high-quality training data through human annotation combined with AI-assisted labeling tools. |
| Pricing |
Pay-per-use ($$-$$$$) |
Pay-per-use ($$$-$$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Data labeling
- RLHF
- Model evaluation
- Generative AI
- Sensor fusion
- Custom annotation
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- High quality annotations
- Enterprise scale
- Government clients
- RLHF expertise
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Expensive
- Enterprise focused
- Long setup time
- Complex pricing
|
