Why GPU rendering has become the default recommendation
Modern GPUs are extremely good at the parallel math that path-tracing rendering requires, and for the same money, a strong GPU generally out-renders an equivalently priced high-core-count CPU today. This is why GPU-based engines (Octane, Redshift, V-Ray GPU) have become so popular.
Where CPU rendering still wins
- Very large or complex scenes that exceed available VRAM -- CPU rendering uses system RAM, which is typically available in much larger capacities (64-128GB+) than GPU VRAM, so it doesn't hit the same hard ceiling
- Certain engines are CPU-only by design (Corona, for example), so the comparison doesn't apply if your studio's pipeline is already built around one of these
Cost comparison, roughly
| Approach | Typical cost for comparable speed | Scene size ceiling |
|---|---|---|
| GPU rendering (single strong GPU) | Lower | Limited by VRAM |
| CPU rendering (high core-count CPU) | Higher for same speed | Limited by system RAM (much higher) |
The practical recommendation for most Ugandan studios
For typical architectural visualisation and product rendering scene sizes, GPU rendering is usually the better value today -- faster renders per shilling spent, as long as your scenes fit comfortably in the GPU's VRAM. Only lean toward CPU rendering if you're regularly hitting VRAM limits on very large or texture-heavy scenes.
If you're not sure which camp you fall into
Tell us your typical scene complexity (polygon count, texture resolution, scene size) and we'll help you figure out whether GPU or CPU rendering -- and which hardware tier -- actually fits your work.
Not sure if CPU or GPU rendering fits your workflow better? Tell us your typical scene size and we'll advise honestly.
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