| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
A full-stack observability platform offering APM, infrastructure monitoring, logs, and browser monitoring with generous free data. |
| Pricing |
Pay-per-use ($$-$$$$) |
Freemium (Free-$0.35/GB ingested) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- APM
- Infrastructure monitoring
- Log management
- Browser monitoring
- Synthetics
- Distributed tracing
- Dashboards
- Alerting
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Generous free tier (100GB/mo)
- Full-stack observability
- Good APM
- NRQL query language
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Complex pricing changes
- UI can be overwhelming
- Alerting setup complex
- Agent overhead
|
