| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
AI training data platform with auto-annotation, model training, and deployment for computer vision workflows. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium ($$-$$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Auto-annotation
- Model training
- DICOM support
- Video annotation
- Workflow management
- Dataset management
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Strong auto-annotation
- Medical imaging support
- Video support
- Good UI
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Expensive
- Enterprise focused
- Limited model deployment options
|
