Anyscale is a managed platform built on the open-source Ray framework for scaling AI and Python workloads, aimed at teams running distributed ML and AI applications. Ray itself is open-source under Apache 2.0 and self-hostable, while Anyscale provides the managed layer with a free trial; platform usage is billed on a usage basis. It supports managed training, model hosting via Ray Serve, and fine-tuning, though it does not provide notebooks. Founded in 2019, Anyscale carries a SOC 2 attestation and suits teams wanting distributed training and serving on Ray, either self-hosted or managed.
rayopen-sourceself-hostabledistributed
Overview
- Founded
- 2019
- Pricing tier
- Mid
- Startup-friendly
- Yes
- Enterprise-ready
- Yes
ML platform
- Free tier
- Yes: Ray is open-source/free; Anyscale has a free trial.
- Open-source
- Yes
- Self-hostable
- Yes
- Managed training
- Yes
- Model hosting
- Yes
- Fine tuning
- Yes
- Notebooks
- No