Compare RTX 4090 vs RTX 6000 Ada vs RTX A6000 for content creation (2024)

Along with RTX4000 series like RTX4090, Nvidia has released a new workstation graphics card RTX 6000 Ada, with the same architecture Ada Lovelace. We have seen many comparison of RTX 6000 Ada and RTX A6000 (the older generation), but no comparison of three of them. In this article, let us collect the information and compare RTX 4090 vs RTX 6000 Ada vs RTX A6000 for content creationfor you.

Technology overview and comparison RTX 4090 vs RTX 6000 Ada vs RTX A6000

Collect from techpowerup.com

RTX4090 vs RTX 6000 Ada, the latest GPU of Nvidia, arebased onAda Lovelace architecture, while RTX A6000 ison the last generation Ampere architecture. The new architecture will introduce to you a new generation of RT cores for real-time ray tracing, Tensor cores for machine learning acceleration, and CUDA cores for basic graphics computations.

The clock frequency is for GPU clock speed, with higher means faster processing.RTX 4090based clock is surprisingly higher RTX 6000 Ada and RTX A6000. However, the boost clock of RTX 4090 is slightly slower than 6000 Ada.

The memory bandwidth will determine how fast it can move data from/to memory to the computation cores. If it’s high, there’s little chance of bottleneck because thousand of GPU compute cores do not have to wait for a memory response. In the table above, we see RTX 4090 has the highest bandwidth with 1008Gb/s, while 6000 Ada and A6000 is slower with 960Gb/s and 768Gb/s respectively.

The graphics features of the three GPUs are kind of the same, with RTX4090 vs RTX 6000 Ada’s CUDA is 8.9, while A6000 are 8.6.

Render config comparison

Come to the render config, you should pay attention to three different types of processing:

- - - CUDA Cores(Shading units): more CUDA cores or shading units means faster processing of different aspects of the image.
    - Tensor corescan accelerate the speed of matrix multiplication. It has more applications in machine learning or deep learning, but it also affects the creationof 4K graphics or videos.
    - RT coresis responsible for Real-time ray tracing, a technology that mimics the physical behavior of light rays, delivering a higher-quality and more photorealistic results than other technology. More RT cores means the GPU can do the math of ray-tracing quicker than the others.

RTX6000 Adais on the next level, when its CUDA cores are about 1.1times higherthan RTX 4090, and 1.7 times higher than A6000. Same result goesfor Tensor cores and RT cores.

Other things you should keep an eye on areTMUs and ROPs.

- - - TMUstake textures and map them to the geometry of a 3D scene. More TMUs will mostly mean that texture information is processed faster.
    - TheROPsare responsible for some of the final steps of the rendering process, writing the final pixel data to memory and carrying out other tasks such as anti-aliasing to improve the look of graphics.

RTX 6000 Ada is performing great, while its TMUs and ROPs are about 1.1 and 1.7 times greater than RTX 4090 vs RTX A6000 respectively.

See this result, we hope that 6000 Ada will perform great when testing with content creation applications.

Theoretical performance comparison

Thefloating-point performance(TFLOPS) helps you determine the raw power of the GPU. And here, you can see a great improvement when comparing 6000 Ada with A6000, as it is 2.4 times higher. When compared to RTX 4090, it’s only 1.1 times higher.

Testing on content creation applications

In general, there are specifications where 6000 Ada will outperform RTX 4090 and A6000. However, RTX 4090 has some specifications which are higher and better than 6000 Ada. It’s really hard to say which graphics card is the best. Now let’s test it with some content creation application. We would look into some benchmark tests of Redshift, Octane, V-Ray, Unreal Engine, Blender, DaVinci Resolve and Premiere Pro to have an answer.