Resource Estimates Before You Render
Renderjuice now estimates the GPU memory your scene needs and flags VRAM risks before you render — so you can spot heavy or duplicated textures and pick the right setup up front.
Running out of GPU memory is one of the more frustrating ways for a render to fail — it often happens partway through, after the render has already started and GPU minutes are being spent. We’ve added a way to see that risk before you hit render.
A Resource Estimate for Every Scene
Once your file is validated, Renderjuice now shows a Resource Estimate for your render. It rates your scene’s GPU memory needs as Low, Medium, or High, and shows the minimum VRAM we’d recommend for it.
If your scene fits comfortably, you’ll see a green check and nothing to worry about. If it’s close to or over what a typical GPU can hold, we’ll tell you up front.
Warnings You Can Act On
A number on its own isn’t very useful, so the estimate also explains why a scene is heavy. You might see warnings for:
- Large textures that take up most of a GPU’s memory on their own
- Duplicate textures — the same image imported several times, each taking its own slice of VRAM
- GPU denoising, volumes, and other settings that add memory pressure
Most of these are things you can fix in Blender before rendering — for example, reusing a texture instead of importing it again.
It Updates With Your Settings
The estimate isn’t static. As you change resolution or denoising options, it recalculates so the number always reflects the render you’re about to submit.
A Guide, Not a Hard Limit
A High estimate doesn’t stop you from rendering — you can still submit the job and it may well be fine. But if a scene needs more memory than the GPU has, the render can slow down significantly or crash partway through, and that wastes GPU minutes. The estimate is there so you can make that call with eyes open.
It’s also exactly that — an estimate, not a guarantee. The actual memory a render uses can vary, and we’re continually tuning the model to bring it as close as possible to what really happens on the GPU. Treat it as a strong signal, not an exact number.