After Effects users are often held back by the performance of their workstation, yet a surprising number of users lock themselves into the Mac ecosystem. In this article we will be looking at just how much faster a PC workstation can be in After Effects compared to the iMac Pro and Mac Pro.
Apple may have had a stranglehold on video editing workstations for many years, but with 4K, 6K, and even 8K footage being used more and more, many are starting to jump ship in favor of a PC workstation. Most people know that they can get more out of a PC, but just how much faster is a PC versus a Mac Pro or iMac Pro in Premiere Pro?
With the rise of 4K, 6K, and even 8K footage, colorists using DaVinci Resolve are quickly discovering that the Mac ecosystem is simply not able to give them the performance they need. Most people know that they can get more out of a PC, but just how much faster is a PC versus a Mac Pro or iMac Pro?
Want to see how your system stacks up to the latest hardware? Download our free, public Pix4D benchmark tool which will walk you through a couple of basic projects and display the calculation times. We’ve also included a video walkthrough, showing how to use this tool, and some comparison results from recent workstations built here at Puget Systems.
PhotoScan makes heavy use of the central processor (CPU) in a computer to run many of the calculations involved in turning still images into a 3D model or map. Different steps in that process utilize the CPU in various ways, though, so we are looking at how several Intel and AMD processors compare in this application.
I attended the Microsoft Build 2018 developers conference this week and really enjoyed it. I wanted to share my “big picture” feelings about it and some of the things that stood out to me. I’m not going to give you a “reporters” view or repeat press-release items. This is just my personal impression of the conference.
David McFarland, Head of Data Science at RentPath uses Puget Systems DIGITS box for Deep Learning and GPU-accelerated computation
I have been qualifying a 4 GPU workstation for Machine Learning and HPC use. The last confirmation testing I wanted to do was running it with TensorFlow benchmarks on 4 NVIDIA Titan V GPU’s. I have that systems up and running and the multi-GPU scaling looks very good.
PhotoScan makes use of both the CPU and GPUs (video cards) in a computer, during different steps of the photogrammetry workflow. One of the configuration options within this program also allows the CPU to be utilized during steps that are primarily performed on the GPU – and it is enabled by default. However, we have found in our testing that this option usually hampers performance more than it helps!
PhotoScan makes use of the video cards in a computer to assist with the computation of certain steps. As such, both the model of video card used and the number of GPUs present in a system can have an impact on the amount of time those steps take. In this article, we take a look at how multiple GeForce GTX 1080 Ti cards scale in performance across a few different CPU platforms.
Puget Systems builds custom workstations, servers and storage solutions tailored for your work.
We provide:
Extensive performance testing
making you more productive and giving better value for your money
Reliable computers
with fewer crashes means more time working & less time waiting
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