Our own senior hardware analyst, Matt Bach, gave a presentation at PNY’s booth at SIGGRAPH 2019 on 6K to 8K editing workflows and what you need to be able to handle it.


Our own senior hardware analyst, Matt Bach, gave a presentation at PNY’s booth at SIGGRAPH 2019 on 6K to 8K editing workflows and what you need to be able to handle it.

One of the big advantages of GPU-based rendering is that you can easily put multiple video cards inside a single workstation. How much benefit does each additional card provide for V-Ray Next, though? We put four GeForce RTX 2080 Ti video cards to the test to find out!
In this post I’ve done more testing with Ryzen 3900X looking at the effect of BLAS libraries on a simple but computationally demanding problem with Python numpy. The results may surprise you! I start with a little bit of history of Intel vs AMD performance to give you what may be a new perspective on the issue.

Outside of very specific situations, After Effects is usually going to be limited more by your CPU than your GPU. However, the more GPU accelerated effects you use, the larger the benefit to using a faster video card. Both AMD and NVIDIA have recently released a number of new video cards, but is there any benefit to using them in After Effects?

Both AMD and NVIDIA have recently released a number of new video cards including the Radeon RX 5700 XT and the NVIDIA SUPER cards. Photoshop only uses the GPU to accelerate a small (but growing) list of effects, however, so is there any benefit to using any of these new card?
This is a short post showing a performance comparison with the RTX2070 Super and several GPU configurations from recent testing. The comparison is with TensorFlow running a ResNet-50 and Big-LSTM benchmark.

V-Ray Next is made up of two rendering engines: a traditional CPU based renderer, as well as a GPU-based hybrid engine that can run on both GPUs and CPUs for extra performance. With the launch of NVIDIA’s new GeForce RTX “SUPER” series of video cards, we are taking a look at how the whole RTX lineup performs on the GPU side of V-Ray Next.

OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. With the launch of NVIDIA’s new GeForce RTX “SUPER” series of video cards, we are taking a look at how the whole RTX lineup performs on both the current OctaneRender 4 and the upcoming 2019 release which adds support for RTX technology and greatly increased rendering speeds.

Redshift is a GPU-based rendering engine, now owned by Maxon and available bundled with Cinema 4D – as well as in the form of plug-ins for other 3D applications. It was written to use NVIDIA’s CUDA graphics programming language, and since NVIDIA recently refreshed their GeForce series with new 2060, 2070, and 2080 “SUPER” cards we thought it would be a good time to re-test the whole RTX lineup.
If you stick around long enough, you’ll recognize that many technologies come and go without a lot of fanfare. That has certainly been t he case when it comes to online news consumption.