Designer, Kevin Airgid, uses a Recommended System for Adobe After Effects CC to create large-venue motion graphics.


Designer, Kevin Airgid, uses a Recommended System for Adobe After Effects CC to create large-venue motion graphics.

PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. The performance of an individual video card, or GPU, is known to impact the processing speed – but what about the connection between the video card and the rest of the computer? This interconnect is called PCI Express and comes in a variety of speeds. In this article, we will look at how PhotoScan performance scales across PCI-E 3.0 x4, x8, and x16.
Tensor-cores are one of the compelling new features of the NVIDIA Volta architecture. In this post I discuss the some thought on mixed precision and FP16 related to Tensor-cores. I have some performance results for large convolution neural network training that makes a good argument for trying to use them. Performance looks very good.

PhotoScan is a photogrammetry program: an application that takes a set of images and combines them to create a 3D model. A combination of CPU and GPU processing is used in this process. It has been a couple years (and several version updates) since we last tested PhotoScan, so we are revisiting it to see what has changed and how it performs on modern computer hardware.

Adobe has been leveraging the power of the GPU in their software more and more, but is there any reason to spend money on an expensive video card for Photoshop?

Intel has long been the performance king for After Effects, but AMDs new 2nd generation Ryzen CPUs have shown some great performance gains. Is it enough to let AMD overtake Intel?

AMD has made great improvements with the new 2nd generation Ryzen CPUs that really closes the gap between AMD and Intel for Photoshop users. But is it enough to put them above Intel’s 8th Gen CPUs?

In this article we will revisit the at-first frightening exposure of the security breach caused from the Intel Microcode breach possibility. We will review what the breach is, what solutions we use at Puget to protect our systems, and offer assistance finding your microcode patch.
Building TensorFlow from source is challenging but the end result can be a version tailored to your needs. This post will provide step-by-step instructions for building TensorFlow 1.7 linked with Anaconda3 Python, CUDA 9.1, cuDNN7.1, and Intel MKL-ML. I do the build in a docker container and show how the container is generated from a Dockerfile.

Safariland is a designer and manufacturer of equipment for sporting, military, law enforcement, investigation and public safety personnel., specifically gun holsters. The engineering team uses a certified Puget Systems workstation to conceptualize and produce prototypes.