blender rendering

Should You Use a Render Farm? A Practical Guide for Blender Artists

A practical guide for Blender artists on when and how to use a render farm — starting with optimizing your local setup first.

April 1, 2026 · 9 min read

I get asked this question a lot — usually by artists who are somewhere between “my renders take forever” and “do I really need to spend money on this?” Here’s the recommendation I give to everyone that’s not under a pressing timeline. If you are under a pressing timeline — obviously, you should consider using one. But for everyone else, read on. The answer isn’t as simple as yes or no, and it starts somewhere you might not expect.

First Things First: Optimize Your Local Setup

For anyone serious about Blender, this is the first thing to knock off your list. With or without a render farm, you need this.

This means a local machine that you do most of your work on. You do your preliminary renders on this machine, but it’s your main rig — so for render jobs that run long, you typically offload those to a secondary machine. That way your main machine is free to keep working, take a break to game on, whatever.

For GPU, I think most Blender professionals should have at least an RTX 3090 Ti or better — in both machines. It’s the most cost-effective way to optimize your setup. You get 24GB of VRAM, which handles the vast majority of production scenes without running into memory limits, and the used market has made them very accessible. Anything less and you’ll be fighting VRAM limits sooner than you’d like.

The rest of the secondary machine doesn’t need to be anything special — an older workstation, a repurposed gaming PC — but the GPU matters. Match it to your primary. Don’t bother making it headless either. Running Blender from the command line without a display sounds clean on paper, but most users aren’t going to want to deal with that.

More importantly, keeping a GUI and matching specs between your two machines solves a problem that render farms have to deal with all the time: consistency. When both your machines have the same GPU, the same Blender version, and you can open the same .blend file with the same settings on both, what you see on your primary is what you get on your secondary. No surprises with different GPU behavior, no subtle differences in how a scene renders across different hardware. You preview on one, render on the other, and the output matches. That’s the whole point.

There’s another reason this matters: when you do eventually use a render farm, having a capable secondary machine makes the farm cheaper. You can efficiently delegate parts of your render locally — knock out what your machines can handle in a reasonable timeframe, and only send the rest to the farm. Instead of uploading your entire job, you’re just offloading the overflow. That adds up to real savings.

If you haven’t done this yet, stop here. Get this working first. It’s the single biggest quality-of-life upgrade you can make for your rendering workflow.

If you want to stretch your local setup further, you can — adding a third machine or beefing up both of your existing ones. But at this point it’s far more optional. Worth noting: pairing a second GPU in a single machine isn’t as efficient as having a whole separate rig. These are long-term investments you grow into, not things you need to rush out and buy.

Don’t Build Your Own Render Farm

I know what some of you are thinking. “I’ve got two machines, what if I just keep adding more? Set up a network render, maybe throw Flamenco on it, build my own little farm.” I get it — it’s tempting. And as the founder of an actual render farm, I’m telling you: don’t.

It is significantly harder than you think. I say this as someone who does it for a living, and even I underestimated how difficult it would be. The consistency problem alone will eat you alive. Different hardware, different driver versions, different thermal behavior — all of it introduces subtle variation in your renders. Managing that across even five or six machines is a job in itself. And you’ll probably never have enough compute to make it worthwhile anyway. By the time you’ve bought, configured, maintained, and powered enough machines to meaningfully outpace a two-rig setup, you’ve spent more than you would have just using a render farm — and you’ve become a sysadmin instead of an artist.

Your time and money are better spent on your craft and on a two-machine local setup that keeps you productive. Let someone else handle the infrastructure at scale.

You’re Going to Need a Render Farm Anyway

Here’s the thing — whether your local setup is fully optimized or not, if you’re a professional Blender artist, you’re going to need a render farm at some point. Some scenes are simply too much to render realistically on a few GPUs. Dense volumetrics, heavy simulations, massive environments with millions of polygons — there’s a ceiling to what even a well-equipped two or three machine setup can handle in a reasonable timeframe.

Here’s a realistic example: say you’ve got a 10-second animation at 4K, 30fps. That’s 300 frames. Even on a 3090 Ti, a moderately complex scene might take 15–30 minutes per frame. That’s 75 to 150 hours of render time. Across two machines, you’re still looking at 2–3 days of both rigs running non-stop — and that’s assuming nothing crashes, nothing needs re-rendering, and you don’t need your machines for anything else in the meantime. Now scale that up to 30 seconds, or a minute, or add heavier effects. It stops being practical pretty quickly.

The best approach is to find a render farm you’re comfortable with and grow with it over time. Learn how it handles your files, understand its pricing, get familiar with its quirks. Just like your local setup, a render farm is a tool in your workflow — and the more fluent you are with it, the more effective it becomes when you actually need it under pressure. You don’t want to be figuring out how to upload and configure a job for the first time the night before a deadline.

Optimizing Your Workflow for Render Farms

Using a render farm well isn’t just about uploading a .blend file and hitting go. There are a few things you can do on your end to make the experience smoother, cheaper, and more predictable.

Be Selective With Add-ons and Extensions

Keep your workflow as lean as possible when it comes to add-ons. Most render farms don’t have great support for every extension out there, and a scene that depends on a niche add-on to generate geometry or drive an effect might not render correctly — or at all — on a remote machine. Renderjuice does a decent job of supporting a wide range of add-ons, but as a general rule, the less your scene depends on third-party extensions, the fewer surprises you’ll run into on any farm.

Optimize Your Scenes

This isn’t just a render farm tip — it makes everything faster, locally and remotely. Unoptimized Blender scenes don’t just render slowly, they can fail entirely. Even the highest-end consumer GPU right now, the RTX 5090, only has 32GB of VRAM. If even bleeding-edge hardware has hard memory limits, scene optimization isn’t optional — it’s a universal requirement.

Get in the habit of keeping VRAM in check. If you’re using 8K textures on objects that take up 50 pixels in the final frame, that’s memory you’re burning for nothing. Same with subdivision levels nobody will ever see, or duplicated geometry that should be instances.

You’ll also want to be aware of what doesn’t distribute well. A render farm splits your frames across many machines, and each machine renders its frames independently. That means simulations — fluid, smoke, cloth — need to be fully baked before you submit. If they aren’t, each node tries to compute the simulation from scratch and you get inconsistent or broken results. Same goes for motion blur with temporal sampling and anything that relies on persistent data between frames. The more self-contained each frame is, the smoother your farm experience will be.

Learn One Farm and Get to Know It

Don’t hop between three different render farms trying to save a few dollars per job. Pick one, learn how it works, understand its pricing model, and get comfortable with the submission process. Every farm has its own quirks — how it handles file paths, how it manages dependencies, what settings it respects or overrides. When you know your farm well, you can prep your files faster, predict costs more accurately, and troubleshoot issues without panicking.

What We Do at Renderjuice

We built Renderjuice specifically to eliminate the consistency issues that ruin renders. We track every Blender release and build optimized Blender images for every version, matched against specific driver versions and configurations. When you submit a job to Renderjuice, we’re not running some generic setup and hoping it works with your file — we’re running a build environment that’s been tested against the exact Blender version you’re using. That’s what it takes to get consistent results across hundreds of GPUs, and it’s the kind of thing you’d never want to manage yourself.

Our render speeds are also the fastest I’m aware of. We’ve invested heavily in the infrastructure to make that possible — not just raw GPU power, but how we distribute jobs, manage queues, and minimize the overhead between you clicking “render” and your frames actually starting.

We’re not perfect — there’s still a lot we’re actively improving, and we know it. But we’re genuinely excited about where Renderjuice is headed, and we’re building it because we think Blender artists deserve a render farm that actually understands their workflow.

If you’ve read this far and you’re thinking about trying a render farm, give Renderjuice a shot. Get your local setup right first — that advice doesn’t change. But when your scenes outgrow your hardware, or your deadline outpaces your render queue, we’re built to pick up exactly where your local machines leave off.