Multi-application support is now available on Ray Serve, allowing different applications to run on the same cluster using separate containers. This feature helps in managing resources more effectively and reduces operational complexity by enabling independent upgrades of each application. With this new "runtime envs as containers" feature, users can specify a different Docker image per team's application, providing clean isolation between apps and unlocking the power of Ray's multi-tenancy capabilities. This enables users to share resources more efficiently and utilize GPU capacity granularly, reducing operational complexity and improving scalability. The feature is still experimental and has some drawbacks, such as startup delays and limitations on supported runtime environment fields. Further development plans include cleaning up the UX around combining containers with other runtime environment fields and adding more scalability testing.