Anyscale
The Best Place to Build and Run AI with Ray
Anyscale is the managed platform for Ray, created by Ray's founders, enabling teams to run and scale ML/AI workloads across data processing, training, and inference. It offers cloud-based development environments, fault-tolerant clusters, and cost optimization features.
Fonctionnalités
✓ Managed Ray platform
✓ Cloud development environments
✓ VSCode, Jupyter, Cursor integration
✓ Fault-tolerant clusters
✓ Zero-downtime upgrades
✓ Prometheus and Grafana monitoring
✓ Spot instance management
✓ Team budget controls
✓ RAG, fine-tuning, batch inference support
Avantages
- + Built by Ray creators
- + 12x faster iteration (per Canva)
- + 99% cost reduction possible
- + Excellent for distributed workloads
- + Multi-cloud support
Inconvénients
- − Ray learning curve
- − Overkill for simple workloads
- − Pricing can be complex
- − Requires Ray expertise