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Install TensorFlow with GPU Support on Windows 10 (without a full CUDA install)

HPC Post Posted on by

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. I’ll go through how to install just the needed libraries (DLL’s) from CUDA 9.0 and cuDNN 7.0 to support TensorFlow 1.8. 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.

Case Study with Utah State University

Case Study Posted on by

Professor George and his students at Utah State University used three Puget Systems workstations, along with photogrammetry and virtual reality programs, to design a new, sustainable community on Powder Mountain in the Ogden Valley of Utah.

Install TensorFlow with GPU Support the Easy Way on Ubuntu 18.04 (without installing CUDA)

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TensorFlow is a very important Machine/Deep Learning framework and Ubuntu Linux is a great workstation platform for this type of work. If you are wanting to setup a workstation using Ubuntu 18.04 with CUDA GPU acceleration support for TensorFlow then this guide will hopefully help you get your machine learning environment up and running without a lot of trouble. And, you don’t have to do a CUDA install!

When to use Windows 10 Recovery Options

Support Article Posted on by

Experiencing the well known blue screen of death, dramatic slowdowns, software instability, or simply want to know your options for restoring your Windows 10 system? This article will go over the recovery options available within Windows 10 to return your system to a stable point. Knowing WHICH restore option to use to when, will help get your system back up and running quickly and efficiently.

Selling vs. Problem Solving

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“I don’t know where to begin.”

That’s what I told Beth, who was working the counter at my local auto parts store.

I sheepishly placed a sleek can refrigerant on the counter and began to explain my predicament. I purchased a refill because I already owned a pressure gauge, I assumed it was compatible with any can. I found out that isn’t ​the case when I tightened the gauge and heard the stem pop.

Agisoft PhotoScan 1.4.1 – Xeon Scalable CPU Performance and GPU Scaling

Hardware Article Posted on by

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. Intel’s new Xeon Scalable processors offer configurations with dozens of CPU cores, as well as the ability to support multiple GPUs – so let’s see how they perform in PhotoScan.