Easily set up a pipeline of frames you want your render farm to work through and wake up in the morning with finished renders.
Save money on unnecessary components/peripherals and focus on specializing render nodes to do just that—render.
View the fruits of your labor more often with more iterations, allowing you to continually improve upon the quality of your work.
A render farm is a cluster of individual computers – a workstation and multiple render nodes – that are connected through a network connection to process or render computer-generated imagery (CGI), as found in animated films, CG commercials, VFX shots, or rendered still images. GPUs enable distributed or parallel rendering where frames of a 3D sequence are simultaneously calculated across the render nodes, drastically cutting time to completion versus on just a single computer.
| Rendering Comparison | CPU | GPU |
|---|---|---|
| Speed | ||
| Quality Results | ||
| Memory Capacity | ||
| Feature Rich | ||
| Handle Complex Tasks | ||
| Stable Performance | ||
| Scalability | ||
| Upgradability | ||
| Graphic Intensive |
When it comes to choosing between a CPU and a GPU-based solution, the choice will depend on your specific wants, needs, and application. GPU enhances the existing infrastructure and allows you to accelerate image rendering significantly. Both CPU and GPU are equally important: GPUs take on the largely mathematical resource-intensive 3D visualization elements, while the CPU executes more complex and serial tasks like scheduling.
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