- Who this is for
- Users comparing Deadline Cloud to local V-Ray queueing.
- Best fit
- Use this when upload workflow, cloud cost, asset privacy, or setup time makes local rendering more attractive for the current job.
Workflow
- Choose cloud rendering when local hardware is the bottleneck and remote compute is worth the setup.
- Choose a local queue when the workstation can finish the job and the main problem is manual job management.
- Keep cloud and local workflows separate in documentation so teams understand cost, privacy, and capacity tradeoffs.
Where it fits
V-Raykally handles the local case: no cloud account, no upload path, and no remote worker fleet.
- Local execution
- No cloud upload
- Lower operational setup
It cannot add cloud compute, managed AWS fleets, cloud troubleshooting, or remote capacity.
FAQ
Should I use AWS Deadline Cloud or a local V-Ray queue?
Use AWS Deadline Cloud when you need managed cloud render capacity and AWS infrastructure. Use V-Raykally when you only need to organize local V-Ray Standalone renders on owned hardware.
Is this a cloud render farm?
No. V-Raykally is designed for local V-Ray Standalone queues on the artist workstation or a local render machine.
What kind of V-Ray files does this workflow target?
The workflow targets V-Ray Standalone scene files such as .vrscene and .vrs, with output and frame options handled around the local V-Ray executable.