AMD’s Radeon VII is an extremely robust card on paper, having twice the VRAM as a comparably priced NVIDIA GeForce card. However, while 16GB of video memory is nice, it is rarely required for Photoshop. Does the Radeon VII have a performance advantage in Photoshop as well, or is going with NVIDIA still a better option?
In the latest version of Lightroom Classic CC (8.2), Adobe has added a new featured called “Enhanced Details” which uses machine learning to improve the quality of the debayering process for RAW images. This is very GPU-intensive, so we wanted to see exactly how much faster it can be on a modern, high-end GPU.
Despite how popular SOLIDWORKS is, there is a lot of outdated and simply inaccurate information on the web regarding what video card you should use. This is especially true for SW 2019, because it adds a new mode that changes how the video card is utilized when displaying parts and assemblies. To see how this new mode affects GPU performance, I tested multiple graphics cards from the Quadro P and RTX series at both 1080p and 4K resolutions.
OctaneRender is a GPU-based rendering engine, utilizing the CUDA programming language on NVIDIA-based graphics cards. An update to their benchmark, OctaneBench 4.00, was recently released – so we gathered most of the current and recent GeForce and Titan series video cards and tested them to see how they perform in this version of OctaneRender.
Redshift is a GPU-based rendering engine, compatible with NVIDIA’s CUDA graphics programming language. We recently saw how GeForce RTX cards perform in this renderer, but now the Titan RTX is out with a staggering 24GB of memory onboard. That sounds great for rendering complex 3D scenes, but how does it actually perform? And are there any caveats?
The new NVIDIA Titan RTX has a stunning 24GB of video memory, making it very attractive for many editors and colorists working with 8K media. But is the extra VRAM all it has going for it or is it also significantly faster than something like the RTX 2080 Ti 11GB?
Pix4D is an advanced photogrammetry application, suited to a wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes / textures is time-consuming, heavily using a computer’s CPU and GPU. A new version, 4.3, was released recently – so we have tested multiple projects across the new GeForce RTX series of video cards, as well as the previous generation, to see which graphics card performs the best.
V-Ray is a hybrid rendering engine that can run on both CPUs and GPUs, depending on the version that is used. The current benchmark only measures CPU and GPU performance separately, though, and while that is not ideal or a perfect match for how the modern V-Ray Next engine performs it can still be helpful to look at when comparing GPU rendering performance. Let’s see how NVIDIA’s new GeForce RTX 2070, 2080, and 2080 Ti cards stack up against the previous generation.
Pix4D is an advanced photogrammetry application, suited to a wide range of uses, with a focus on handling images captured by drone cameras. Processing of those images into point clouds and 3D meshes/textures is time-consuming, heavily using a computer’s CPU and GPU. In this article, we are looking at whether multiple GPUs improve Pix4D performance and if NVLink has any impact.
While we just recently tested the RTX 2080 and 2080 Ti in After Effects CC 2018, a number of changes have happened that prompted us to update our testing. Will the update to CC 2019, launch of the RTX 2070, or launch of the Intel Core i9 9900K change our conclusions or are powerful GPUs still unnecessary for most Ae users?
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