All Puget Systems come with lifetime labor and support. Although we hope that you never have to send your system in to be repaired there maybe be a time when you do. This article was created in an effort to show you what to expect when you do have to send your system in for repair.
In this post I’ll walk you through the best way I have found so far to get a good TensorFlow work environment on Windows 10 including GPU acceleration. YOU WILL NOT HAVE TO INSTALL CUDA! I’ll also go through setting up Anaconda Python and create an environment for TensorFlow and how to make that available for use with Jupyter notebook. As a “non-trivial” example of using this setup we’ll go through training LeNet-5 with Keras using TensorFlow with GPU acceleration. We’ll get a setup that is 18 times faster than using the CPU alone.
The Puget Tools application is installed on all Puget computers built after 01/01/2018. If you do prefer to remove this application, this guide will help you do so.
Redshift is a GPU-based rendering engine, which recently updated from version 2.5.72 to 2.6.11. That update added compatibility with NVIDIA’s Volta GPU architecture, and cards like the Titan V, but did it also improve render speeds?
Redshift is a GPU-based rendering engine, and the latest version 2.6.11 introduced compatibility with NVIDIA’s Volta graphics architecture and cards like the Titan V. Lets take a look at how different GeForce and Titan models perform.
Redshift is a GPU-based rendering engine, but how well does its performance scale when multiple video cards are used in a system?
PhotoScan makes heavy use of both the central processors (CPUs) in a computer and the video cards (GPUs) to run many of the calculations involved in turning still images into a 3D model or map. Agisoft, the makers of PhotoScan, have versions available for both Windows and macOS – so let’s take a look at how these two, competing computer platforms compare.
This article goes over some issues we’ve discovered recently related to Windows Builds 1709, 1803, & audio-related issues.
If you are wanting to use Ubuntu 18.04 and also want a CUDA install this post should help you get that working.
Recently we have noticed an issue when transferring data between mechanical drives and the Glyph Studio Raid external device. Specifically the issue pertains to large folders with numerous subfolders. In our initial testing it would appear that the data size is irrelevant beyond a few GB and mostly revolves around the number of subfolders.
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
