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.
Pix4D is an advanced photogrammetry application, suited to 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 are taking a look at performance of the previous version versus this one to see if there have been any improvements.
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?
Photoshop uses the video card to accelerate a number of tasks, but a high end GPU is rarely necessary to get great performance. Do the RTX cards follow this trend in the latest version of Photoshop CC 2019, or will we finally see a reason to use a high-end GPU?
Blackmagic has not made any announcements about DaVinci Resolve supporting NVLink, but we decided to try it out to see what happens. Unfortunately, you need to enable SLI in order for NVLink to work on the GeForce RTX cards which results in some major performance issues.
NVIDIA’s new RTX cards perform very well in Premiere Pro, but Premiere tends to be limited by the CPU more than the GPU. Because of this, is there any reason to use the RTX 2080 or 2080 Ti over the more affordable RTX 2070?
DaVinci Resolve heavily leverages the GPU to improve performance which means that the new RTX cards should give excellent performance. This article is a follow-up to the RTX 2080 and 2080 Ti testing we did recently and adds results for the RTX 2070 8GB card.
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, the model of video card used can have an impact on the amount of time those steps take. In this article, we take a look at the GeForce RTX 2000-series – based on NVIDIA’s Turing GPU architecture – to see how they compare to each other.
We found previously that stacking multiple RTX 2080 video cards next to each other for multi-GPU rendering led to overheating and significant performance throttling, due to the dual-fan cooler NVIDIA has adopted as the standard on this generation of Founders Edition cards. Now that manufacturers like Asus are putting out single-fan, blower-style cards we can repeat our testing to see if the throttling issues are resolved and find out how well these video cards scale when using 1, 2, 3, or even 4 of them for GPU-based rendering in OctaneRender and Redshift.
There was a lot of excitement when it was first announced that GeForce RTX 2080 and 2080 Ti cards would have NVLink connectors, because of the assumption that it would allow them to pool graphics memory when used in pairs. Digging into the functionality of the NVLink connection on these cards, however, things are not as straightforward as folks may have hoped.