Optix Blender



  1. Optix Blender Denoise
  2. Optix Blender Replacement Parts
  3. Optix Blender Gtx
  4. Optix Blender

As mentioned earlier, we have a dedicated Blender 2.91 performance article if you want to explore broader results, all of which include AMD’s current crop of graphics cards (except for OptiX testing, naturally). In a basic CUDA and OpenCL rendering test, the Classroom project really highlights AMD’s improved ray traced performance on its.

Noisy Render | 50 samples | 1:44.57 vs. D-NOISE Result | 50 samples | 1:46.88

  • OptiX is specifically built for ray tracing and is probably faster than CUDA, which is built for general compute. Blender OptiX option uses Nvidia RT tech, which is only available on the newer Nvidia cards (NVIDIA GeForce, Quadro and Tesla products with Maxwell and newer generation GPUs.).
  • A completely new workflow for editing meshes, new physics simulation methods, faster Cycles rendering, better compositing with Eevee, and so much more. Blender 2.92 marks the beginning of something incredible. Released February 25th, 2021.
  • However in Blender 2.83 and above there is a command you can run to allow the use of GTX GPUs so you can render with your RTX 2070 Super and any other Nvidia GPU. The command is 'CYCLESOPTIXTEST=1' and you need to add it to your launch commends for Blender.
D-NOISE is a next-gen AI denoising platform that rapidly accelerates the process of rendering noise-free images in Blender.
Powered by NVIDIA®'s new OptiX™ AI-Accelerated Denoiser, D-NOISE can produce beautiful noiseless images in just seconds.
D-NOISE comes packaged with a handful of easy-to-use settings so you can tailor the denoiser to fit your render.
Take a Tour
Blender's stock denoiser is notorious for leaving gross blotches all over your renders.D-NOISE is trained to keep smooth surfaces smooth.
Using D-NOISE's Extra Passes feature will ensure that the AI denoiser maintains sharp and accurate textures, even in the noisiest of renders.
Using built-in HDR training, D-NOISE is significantly better at preserving luminance values than Blender's stock denoiser.
An efficiently trained AI system paired with advanced CUDA acceleration means that D-NOISE will have any render denoised in seconds.

... but don't take our word for it,

Blender Denoiser | 50 samples vs. D-NOISE Result | 50 samples

D-NOISE brings the power of AI to Blender with high-quality CUDA accelerated denoising for everyone.
D-NOISE can denoise your animations as they render! All you need to do is enableD-NOISE before you render.
D-NOISE includes an HDR trained denoiser that can provide accurate results in any lighting condition
Sometimes noiseless images can feel lifeless. Bring some of grain back with the Blend with Original feature!
No need to configure the denoiser before you render. Just click 'Quick D-NOISE' you'll have a noiseless image.
Renders aren't the only thing D-NOISE can take care of. Any image in the image editor can be denoised!
With Extra Passes, D-NOISE can maintain accurate colors and edges even in your noisiest renders!
D-NOISE handles all of its data transactions with high-quality 32-bit EXRs so that no image quality is ever lost.
See how easy it is to start managing your projects properly.

Optix Blender Denoise

Grant's D-NOISE add-on is one of the MUST have add-ons for all Blender users.

Andrew Price,BlenderGuru & Poliigon

Watching D-NOISE turn a 50 sample noisy mess into a detailed render is just beautiful to watch!

Julius Harling,Founder of Graswald

Optix Blender Replacement Parts

D-NOISE is an essential tool for my renders, especially for my more complex scenes.

Somjade Chunthavorn,Freelance Artist
The OptiX AI Denoiser is now natively included in Blender 2.82.
Learn More Here

Operating System: Windows 8 or Newer
GPU: NVIDIA GeForce 700 Series or Newer
CPUs and AMD GPUs are NOT supported.

Optix Blender Gtx

Optix Blender

Optix Blender

Special thanks to Declan Russell for sharing his standalone NVIDIA AI Denoiser and Deep Blender for sharing his normal conversion script. Also, massive thanks to everyone who helped in beta testing!