Ray Serve Pack
Add Ray Serve to your Nebari cluster so your team can serve ML models and Python applications at scale. The pack handles cluster setup, autoscaling, and routing, with optional Nebari single sign-on so each endpoint can be locked to specific users.
- Status: Official (OpenTeams)
- Maintainer: nebari-dev
- Source: nebari-dev/nebari-rayserve-pack
For install and configuration, see the upstream README.