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.
AMD’s Threadripper 2970WX and 2990WX processors have incredibly high core counts, but often give low performance when running applications that cannot effectively use all their cores. The new “Local Dynamic Mode” is meant to help alleviate some of these issues, but will it actually help photo editing applications like Lightroom Classic and Photoshop?
AMD’s Threadripper 2970WX and 2990WX processors have incredibly high core counts, but often give low performance when running applications that cannot effectively use all their cores. The new “Local Dynamic Mode” is meant to help alleviate some of these issues, but will it actually help video editing applications like Premiere Pro, After Effects, and DaVinci Resolve?
A couple of years ago, a new restaurant opened for business in town. For anyone traveling into St. George from Las Vegas or Zion National Park, it is hard to miss because it’s situated the ledge which overlooks the town.
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.
In this review, Premiere Bro explains how the computer builder is vitally important when selecting your next PC. What benefits does a smaller computer builder have over a large corporation?
More Machine Learning testing with TensorFlow on the NVIDIA RTX GPU’s. This post adds dual RTX 2080 Ti with NVLINK and the RTX 2070 along with the other testing I’ve recently done. Performance in TensorFlow with 2 RTX 2080 Ti’s is very good! Also, the NVLINK bridge with 2 RTX 2080 Ti’s gives a bidirectional bandwidth of nearly 100 GB/sec!
NVLink is enabled in different ways depending on what video cards you have, so we have compiled instructions for multiple GeForce and Quadro models. Once you’ve gone through those steps, though, it can be helpful to have a quick way to test and make sure it is working. We have put together a small program that does just that – and reports which video cards in a system are connected via NVLink as well as how much bandwidth they have between them.
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