| Overview |
Scalable AI compute platform built on Ray for deploying and fine-tuning large language models in production. |
SpeedCurve combines synthetic and real user monitoring to help teams track and improve web performance. It provides competitive benchmarking and performance budgets for proactive optimization. |
| Pricing |
Pay-per-use ($$-$$$$) |
Paid ($17-500/mo) |
| Key Features |
- Ray-based
- Auto-scaling
- Fine-tuning
- Managed endpoints
- Multi-model
- GPU clusters
|
- Synthetic monitoring
- real user monitoring
- performance budgets
- competitive benchmarking
- filmstrip comparisons
- custom metrics
- Lighthouse integration
- deploy tracking
|
| Pros |
- Built on Ray
- Excellent scaling
- Production-grade
- Fine-tuning support
|
- Excellent performance visualization
- Good competitive benchmarking
- Performance budget alerts
- Clean interface
|
| Cons |
- Complex setup
- Higher learning curve
- Enterprise-focused pricing
|
- Limited to performance monitoring
- Can be expensive
- Smaller feature set
- Niche use case
|
