In this video, Puget Systems sits down and talks with Mike Pecci about the MAC vs PC debate and gets into how they firmly believe in supporting creative people and getting them what they need to do what they do best.
Doing Quantum Mechanics with a Machine Learning Framework: PyTorch and Correlated Gaussian Wavefunctions: Part 1) Introduction
A Quantum Mechanics problem coded up in PyTorch?! Sure! Why not? I’ll explain just enough of the Quantum Mechanics and Mathematics to make the problem and solution (kind of) understandable. The focus is on how easy it is to implement in PyTorch. This first post will give some explanation of the problem and do some testing of a couple of the formulas that will need to be coded up.
Media Encoder CC 2018 Transcoding: NVIDIA GeForce vs AMD Radeon Vega
Depending on how you use Media Encoder, the GPU may or may not have a large impact on performance. If you use it primarily as a transcoding tool, it should be mostly CPU-bound – so is there any reason to use NVIDIA GeForce over AMD Radeon or vice versa?
Failing to Update to Windows build 1803?
This article will hopefully help in getting past the Windows 1803 Install hurdle.
Photoshop CC 2018: NVIDIA Quadro vs AMD Radeon Pro
Many users require the use of a workstation graphics card as that is the only way to display 10-bit color in Photoshop. But will an NVIDIA Quadro or an AMD Radeon Pro video card give you the best performance for your dollar?
Power User Profiles: Puget System’s Jon Bach Talks Workstations
In this review, the team at Tom’s Hardware sat down with expert builder and Puget Systems President Jon Bach to find out what it takes to build professional grade workstations.
Photoshop CC 2018 NVIDIA GeForce vs AMD Radeon Vega
We are often asked how AMD’s Radeon Vega video cards compare to their NVIDIA GeForce counterparts. Photoshop rarely benefits from having a powerful GPU, but there is still a measurable difference between these two brands of cards.
Agisoft PhotoScan 1.4.1 NVIDIA GeForce vs AMD Radeon Vega
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 AMD’s Radeon line – including the Vega 64 and 56 – and see how they stack up to NVIDIA’s GeForce 1000-series.
Puget Systems Packaging Withstands Stolen FedEx Truck
What’s your worst nightmare when shipping out your most precious cargo? Raise your hand if taking a shipment for a joyride was your answer. Didn’t think so! But, it happened to us.
NAMD Custom Build for Better Performance on your Modern GPU Accelerated Workstation — Ubuntu 16.04, 18.04, CentOS 7
In this post I will be compiling NAMD from source for good performance on modern GPU accelerated Workstation hardware. Doing a custom NAMD build from source code gives a moderate but significant boost in performance. This can be important considering that large simulations over many time-steps can run for days or weeks. I wanted to do some custom NAMD builds to ensure that that modern Workstation hardware was being well utilized. I include some results for the STMV benchmark showing the custom build performance boost. I’ve included some results using NVIDIA 1080Ti and Titan V GPU’s as well as an “experimental” build using an Ubuntu 18.04 base.
