| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
An open-source observability platform for visualizing metrics, logs, and traces from multiple data sources in customizable dashboards. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$29/user/month (Cloud)) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Dashboards
- Multi-source queries
- Alerting
- Plugins
- Loki (logs)
- Tempo (traces)
- Mimir (metrics)
- Grafana Cloud
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Open source
- Beautiful dashboards
- Multi-source support
- Large plugin ecosystem
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Complex setup
- Self-hosting overhead
- Grafana Cloud expensive
- Alert configuration complex
|
