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.
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?
This article will hopefully help in getting past the Windows 1803 Install hurdle.
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?
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.
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.
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.
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.
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.
PyTorch is a relatively new ML/AI framework. It combines some great features of other packages and has a very “Pythonic” feel. It has excellent and easy to use CUDA GPU acceleration. It is fun to use and easy to learn. read on for some reasons you might want to consider trying it. I’ve got some unique example code you might find interesting too.
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
Support that understands
your complex workflows and can get you back up & running ASAP
A proven track record
as shown by our case studies and customer testimonials
