Render farm user interfaces, compared

We checked 43 recordings, the retained benchmark jobs, current desktop clients, and provider documentation. A feature gets Yes when the interface or current documentation confirms it.

No means we did not find the feature in the screens and sources checked.

Interface feature ranking

Sorted by Yes results, then Partial results. iRender is unranked because it rents a workstation instead of managing render jobs.

The evidence for all 72 cells records the screen or source behind each answer.

Superluminal

The whole submission starts in Blender:

1. Choose the project, Blender version, node count, output, and required add-ons.
2. Select Submit. The add-on checks external files, packages the project, and uploads it.
3. You do not need a second start action. The job queues and starts rendering.
4. The job view shows finished, active, and queued frames. With live download enabled, completed files also start moving to local disk.

The August 6 Classroom recording showed 30 selected nodes and all 145 frames at completion. Its four published stills mark upload, active render, provider completion, and local completion.

The job submission guide covers the Blender controls. The job details guide explains the frame viewer, timing chart, machine data, and logs. See the Superluminal interface guide for the full workflow.

Blendergrid

Each recorded Blendergrid job required four stages:

1. Upload the project in the browser.
2. Wait for the scene check.
3. Confirm the scene settings and wait for price calculation.
4. Choose a deadline quote and start the render.

Classroom reached render submission 373.0 seconds after upload began. Junk Shop took 617.8 seconds, and Monster took 206.3 seconds.

The job page showed one status tile per frame. The authoritative recordings did not open a rendered-frame preview.

All three runs exposed a ZIP after finalization. The Blendergrid comparison has each phase and displayed quote.

Fox Renderfarm

Fox Renderfarm split submission between a desktop client and the browser:

1. Upload the project with Raysync.
2. In the browser, choose the scene, hardware, and render device.
3. Run the required scene analysis.
4. Review the result and select Render full job.

After the job started, the page showed progress, cost, and running nodes. Classroom peaked at 129 visible nodes. Raysync handled the output download.

A completed task also showed a per-frame time graph and timestamped Blender logs. Task details listed RAM, GPU model, GPU memory, and GPU count. The Fox Renderfarm comparison has the scene results.

GarageFarm

GarageFarm used three connected interfaces:

1. Send the Blender scene to renderBeamer.
2. Let renderBeamer check, compress, and upload the project.
3. Open WebManager, review the settings, choose the priority and node groups, then select Submit.

WebManager showed the active node count and per-worker load. Completed worker groups added average frame time, logs, and separate pre-render and render times. The stage values cover five-frame groups.

renderBeamer downloaded finished files in the background. For Classroom, the last file reached local disk 301.3 seconds after GarageFarm reported completion. The GarageFarm comparison has all four scene results.

RebusFarm

RebusFarm also moved between local and web tools:

1. Send the scene from Blender to RebusDrop.
2. Let RebusDrop validate, package, and upload it.
3. Open ControlCenter in the browser.
4. Find the job marked Ready to Render, choose the tier, and select Render.

ControlCenter then showed the preview, progress, charge, and active node count. Current documentation also shows per-frame time, render elements, AOV review, and logs for supported renderers.

RebusDrop downloaded files in the background. The RebusFarm comparison explains the tested tiers and the incomplete Fox (EEVEE) download.

RenderJuice

RenderJuice required a packer and the browser:

1. Pack the project with the desktop app.
2. Upload the package in the browser and wait for validation.
3. Confirm the frame range, engine, render settings, and priority.
4. Select Start Render.

Overview showed progress and GPU minutes. Monitor exposed job output, warnings, and errors. Review opened a contact sheet and frame gallery after completion.

No inspected job tab, Stats page, or Performance page showed a per-frame timing graph. The RenderJuice comparison explains the subscription cost.

RenderStreet

RenderStreet kept submission and monitoring in the browser:

1. Upload the .blend file and wait for scene analysis.
2. Check the Blender version, frame range, output format, and render device.
3. Choose the On Demand plan and select Launch job.
4. Watch the job state, active-machine count, sequence preview, price, elapsed time, and billed device time.

The live Classroom job created a playable sequence preview before the render finished. The completed job exposed each frame's duration, size, and individual download action.

The persistent header showed live active-machine counts. The observed peaks were 16 for Classroom, 22 for Junk Shop, 9 for Monster, and 2 for Fox (EEVEE).

The RenderStreet comparison has the scene results and both plans. The comparison clock starts when the operator selects Launch job. It stops when Finished and the download controls first appear. Upload, form handling, retrieval navigation, destination handling, and archive transfer remain separate measurements.

The supplemental One recording used the same form with RenderStreet One and CPU selected. The job page did not expose the assigned CPU or server count. It showed 3:19:46 elapsed and 9:29:13 total rendered time at completion.

Render Network

The recorded job began with a package prepared outside the service:

1. Prepare the Blender package.
2. Upload it in the browser.
3. Choose Tier 2 Priority, RNDR Credits, and manual frame review.
4. Create the job.

The job view showed a frame grid, review controls, overall progress, and up to 100 frames in progress. The completed Classroom job opened individual previews and a sequence player.

The settings listed requested VRAM and render passes. They did not list assigned hardware. The browser opened one download prompt per file, so we switched to Downloader Manager. The Render Network comparison covers the two Junk Shop attempts that returned no output.

iRender

iRender rented a remote Windows workstation instead of running a managed farm job:

1. Choose GPU Server 5S with four RTX 4090 GPUs and start the machine.
2. Wait for the connection, then open the remote desktop.
3. Move the project to the workstation and open it in Blender.
4. Start the render in Blender and use iRender Drive to synchronize the output.

For Classroom, the remote desktop became usable 13 minutes 11 seconds after the paid machine started. The dashboard lists each retained machine's package, CPU, GPU count, Blender version, and hourly price.

The user had to manage Blender, storage, rendering, and file transfer. The iRender comparison reports the full paid window.