Skip to content

A render management system you can deploy for visual effects and animation productions.

License

Notifications You must be signed in to change notification settings

akim-ruslanov/OpenCue

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

OpenCue

Supported VFX Platform Versions Supported Python Versions CII Best Practices

Introduction

OpenCue is an open source render management system. You can use OpenCue in visual effects and animation production to break down complex jobs into individual tasks. You can submit jobs to a configurable dispatch queue that allocates the necessary computational resources.

OpenCue features

OpenCue provides the following features to help manage rendering jobs at scale:

  • Sony Pictures Imageworks in-house render manager used on hundreds of films.
  • Highly-scalable architecture supporting numerous concurrent machines.
  • Tagging systems allow you to allocate specific jobs to specific machine types.
  • Jobs are processed on a central render farm and don't rely on the artist's workstation.
  • Native multi-threading that supports Katana, Prman, and Arnold.
  • Support for multi facility, on-premisses, cloud, and hybrid deployments.
  • You can split a host into a large number of procs, each with their own reserved core and memory requirements.
  • Integrated automated booking.
  • No limit on the number of procs a job can have.

Learn more

For more information on installing, using, and administering OpenCue, visit www.opencue.io.

Contact us

To join the OpenCue discussion forum for users and admins, join the opencue-user mailing list or email the group directly at opencue-user@lists.aswf.io.

About

A render management system you can deploy for visual effects and animation productions.

Resources

License

Code of conduct

Security policy

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 57.2%
  • Java 39.6%
  • PLpgSQL 2.3%
  • Shell 0.4%
  • Dockerfile 0.2%
  • HTML 0.2%
  • Other 0.1%