- Who this is for
- Users comparing cloud render management to local V-Ray queues.
- Best fit
- Use this when cost, asset privacy, or setup time makes a local queue more appropriate than cloud rendering.
Workflow
- Export or collect the V-Ray Standalone scene files you want to render, usually .vrscene or .vrs files.
- Confirm that the V-Ray Standalone executable path is configured and valid on the machine that will render.
- Add the scene files to the queue, check output settings, and put jobs in the order they should run.
- Choose the useful safeguards for the job, such as frame range, skip existing frames, resumable rendering, output format, and log review.
- Start the local queue and monitor status, logs, and completed outputs from one dashboard.
Where it fits
V-Raykally keeps V-Ray jobs on the local workstation and avoids cloud farm configuration.
- No cloud upload
- Local execution
- Simple workstation queue
It does not provide cloud scalability, managed workers, or cloud cost controls.
FAQ
Do I need a cloud render manager for V-Ray rendering?
Use a cloud render manager when you need managed remote render capacity. Use a local queue when you only need to run V-Ray jobs on your own machine.
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.