| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
Open-source vector database designed for scalable similarity search with GPU acceleration and billion-scale vector support. |
| Pricing |
Pay-per-use ($$-$$$$) |
Free (Free-$$$) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Open-source
- GPU acceleration
- Billion-scale
- Hybrid search
- Partition
- Multi-vector
- Zilliz Cloud
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Highly scalable
- GPU support
- Open-source
- Billion-scale
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Complex setup
- Resource hungry
- Steep learning curve
- Operational overhead
|
