OctaneRender® requires the latest CUDA® 10 drivers and a CUDA-enabled NVIDIA® video card with support for compute capability 3.0 or higher . An up-to-date list can be found here. This includes Turing (e.g. RTX™ 20 Series, Titan RTX, GeForce RTX, and GTX 16 Series), Quadro® GPUs, Volta™ GPUs, GTX Titan (high-end), Pascal™ (GTX 10xx), Maxwell (GTX 7xx, GTX8xx, GTX9xx), and Kepler™ (GTX 680, GTX 690).
OctaneRender also requires a minimum of 8 GB RAM, and we recommend 16 GB or more.
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 usually 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 perfectly in a multi-GPU configuration and can use different types of NVIDIA cards at once — e.g., a GeForce RTX 2080Ti combined with a Quadro RTX 6000. The official list of NVIDIA CUDA-enabled products is located at https://developer.nvidia.com/cuda-gpus.
NOTE: Using multiple GPUs together combines the cores, resulting in a linear speedup, but VRAM is not compounded. All textures, HDRIAn image which presents more than 8 bit per color channel unlike most common image formats., geometry, and other scene elements must fit into a functional memory – each render GPU must have the same copy of all of the scene elements to complete the process. Therefore, this function is limited by the card with the least amount of VRAM. If there’s not enough VRAM, then you can enable OctaneRender’s Out-Of-Core features.
As OctaneRender does not use the CPU for rendering, a fast multi-core CPU is not required, but it does significantly improve scene-loading speeds.
To use OctaneRender's denoiser features, you'll need additional memory to collect all necessary information. For 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 other 3D modeling software, so it is necessary to increase the available system RAM and about 450 MB VRAM on devices to run the denosier.
If you need to free up some space for the denoiser, use out-of-core features to move geometry and textures onto system memory.
There are several things to consider when purchasing a new GPU. You’ll want to purchase a video card with the most VRAM and the most amount of 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 denoiser features, OctaneRender requires additional memory to collect all necessary information. For example, a 4k render requires about 5 GB, while an 8k render requires about 20 GB. High-definition renders, on the other hand, require around 0.5 GB. On top of this, memory is required for geometry, textures, post-processing buffers, and for other 3D modeling software. Increase the available RAM along with about 450 MB VRAM on devices to run the denosier.
If you need to free up space for the denoiser, use out-of-core features to move geometry and textures onto system memory.
OctaneRender requires authentication with its designated license key, and it requires internet access during the initial launch. Once you launch the program, OctaneRender requests your OTOY® credentials, and it attempts to retrieve an available license from the OctaneRender LiveTM server.
We recommend using your on-board graphics or a second graphics card for the Windows® display adapter, and dedicate a more powerful CUDA-enabled card for rendering.