Hardware Requirements


OctaneRender® requires an NVIDIA® CUDA®-enabled video card. It runs on Kepler, Maxwell, Pascal, high-end GTX Titans, Volta, and Turing GPUs. Texture limits and differing power efficiency ratings also apply, depending on the GPUThe GPU is responsible for displaying graphical elements on a computer display. The GPU plays a key role in the Octane rendering process as the CUDA cores are utilized during the rendering process. microarchitecture. GPUs from the GeForce® line are clocked higher and render faster than the more expensive Quadro® and Tesla GPUs.

GeForce® cards are fast and cost-effective, but have less VRAM than Quadro® and Tesla cards. OctaneRender® scales well in a multi-GPU configuration, and can use different types of NVIDIA® cards at once, such as a GeForce® GTX 1080 combined with a Quadro ®6000. The official list of NVIDIA® CUDA®-enabled products is located at https://developer.nvidia.com/cuda-gpus.

OctaneRender® does not require RTX, but it does render some scenes much faster when RT Core hardware is present.

To use the engine's out-of-core features, we recommend using at least the following hardware:


Looking To Buy A New GPU For OctaneRender®?

There are several things to consider when purchasing a new GPU. You'll want to purchase a video card with the largest amount of VRAM and the most CUDA® cores for your budget. Make sure your power supply can handle the new card as well. If you're using a Mac®, make sure that you purchase an Apple®-approved GPU.

To use the OctaneRender® denoiser features, you need additional memory to collect all necessary information. As an example, a 4k render requires around 5 GB, while an 8k render requires around 20 GB. High-definition renders require around 0.5 GB.

Memory is also required for geometry, textures, post-processing buffers, and for other 3D modeling software, so it's necessary to increase the system RAM along with about 450 MB VRAM on devices to run the denosier.

Use out-of-core features to move geometry and textures onto system memory to free up some space for the denoiser on the device.