Puget Systems print logo

https://www.pugetsystems.com


 (HPC and Scientific Computing)

PCIe X16 vs X8 with 4 x Titan V GPUs for Machine Learning

Posted in HPC Blog on 05/21/2018 by Dr Donald Kinghorn

One of the questions I get asked frequently is "how much difference does PCIe X16 vs PCIe X8 really make?" Well, I got some testing done using 4 Titan V GPU's in a machine that will do 4 X16 cards. I ran several jobs with TensorFlow with the GPU's at both X16 and X8. Read on to see how it went.


Recommended Systems for Machine Learning / AI TensorFlow etc..

Posted in Featured Systems on 05/21/2018

Our Machine Learning / AI Workstation configurations are single CPU, multi-GPU and optimized for deep-learning workloads. These are great platforms for working with Tensorflow, Caffe and Torch as well as other frameworks like CNTK, MXNet, etc.. We have two base recommendations to meet performance and budget requirements.


Puget Systems Hardware Subscription

Posted in Landing Pages on 05/20/2018 by Jon Bach

Receive the best hardware for your workload without a large upfront investment! Puget Systems has partnered with LiftForward to redefine ownership with business leasing, providing a 24-month subscription option, or device-as-a-service (DaaS).


 (Customer Happiness Engineer)

Selling vs. Problem Solving

Posted in Blog on 05/18/2018 by Brett Nordquist

"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

Posted in Articles on 05/18/2018 by William George

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.


V-Ray CPU Comparison: Xeon Scalable vs Core i7 8700K, Core X, and Threadripper

Posted in Articles on 05/18/2018 by William George

Intel has launched their new Xeon Scalable processor series, with very high core counts and multi-CPU configurations. How do they stack up to single-socket workstations using other Intel and AMD processors when rendering in V-Ray?


V-Ray CPU Rendering: Apple iMac Pro and Mac Pro vs PC Workstations

Posted in Articles on 05/17/2018 by William George

"Mac or PC?" - the age-old question among computer enthusiasts. How fast are Apple and PC workstations when rendering in V-Ray? And which offers a better value?


Cinema 4D: Apple iMac Pro and Mac Pro vs PC Workstations

Posted in Articles on 05/17/2018 by William George

"Mac or PC?" - the age-old question among computer enthusiasts. How do Apple and PC workstations compare for content creation and rendering in Cinema 4D?


Cinema 4D CPU Comparison: Xeon Scalable vs Core i7 8700K, Core X, and Threadripper

Posted in Articles on 05/16/2018 by William George

Intel has launched their new Xeon Scalable processor series, with very high core counts when used in dual CPU configurations. How do they stack up to single-socket workstations using other Intel and AMD processors in Cinema 4D?


After Effects CC 2018: iMac Pro & Mac Pro vs PC Workstation

Posted in Articles on 05/15/2018 by Matt Bach

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.


Premiere Pro CC 2018: iMac Pro & Mac Pro vs PC Workstation

Posted in Articles on 05/15/2018 by Matt Bach

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?


DaVinci Resolve 14: iMac Pro & Mac Pro vs PC Workstation

Posted in Articles on 05/15/2018 by Matt Bach

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?


Puget Systems Benchmark Tool for Pix4D

Posted in Articles on 05/15/2018 by William George

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.


Agisoft PhotoScan 1.4.1 - CPU Performance Comparison

Posted in Articles on 05/11/2018 by William George

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.


Watchdog DPC Violation Error on Asus X99E-10G WS Motherboard + Multiple NVIDIA GPUs

Posted in Support Hardware Guides on 05/11/2018 by Ken Colorossi

In this article, we discuss an issue we have been seeing with the Asus X99E-10G WS motherboard and triple or quad NVIDIA GPU configurations. When running a GPU and CPU heavy workload, it will cause the system to crash and give the DPC_WATCHDOG_VIOLATION error or "blue screen of death". We have included an instructional video outlining a work around we have found to resolve this issue. We are also currently coordinating with NVIDIA on a permanent fix. Updates will be published to the article as they become available.


 (HPC and Scientific Computing)

Microsoft Build 2018 -- impressions

Posted in HPC Blog on 05/11/2018 by Dr Donald Kinghorn

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.


Featured: Case Study with RentPath

Posted in Featured Systems on 05/08/2018

David McFarland, Head of Data Science at RentPath uses Puget Systems DIGITS box for Deep Learning and GPU-accelerated computation


 (HPC and Scientific Computing)

Multi-GPU scaling with Titan V and TensorFlow on a 4 GPU Workstation

Posted in HPC Blog on 05/04/2018 by Dr Donald Kinghorn

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.


Agisoft PhotoScan 1.4.1 - CPU and GPU Preferences

Posted in Articles on 05/03/2018 by William George

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!


Agisoft PhotoScan 1.4.1 - Multi GPU Scaling

Posted in Articles on 05/02/2018 by William George

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.


HomeGroup Is No Longer Part of Windows 10

Posted in Support Software Guides on 05/02/2018 by Geno Rosario

Windows Update 1803 launched this week, and one specific change may catch some users off-guard.


Poor Performance in Premiere Pro CC 2018 (Ver. 12.1.X) with ProRes footage

Posted in Support Software Guides on 05/01/2018 by Matt Bach

We have recently found an issue with Premiere Pro 2018 version 12.1.X with ProRes footage causing up to 35% longer export times and a 50% drop in live playback performance with both ProRes 422 HQ and ProRes 4444 footage. Unfortunately, currently the only fix appears to be rolling back to version 12.0.1 of Premiere Pro 2018.


Linux in Windows, how exciting

Posted in Support Software Guides on 04/30/2018 by Chad Warmenhoven

Microsoft generously wrote in the ability to install a FEW Linux distros but unfortunately, it doesn't work right out of the box. In the guide I will discuss how to install the WSL and get the distros installed.


 (HPC and Scientific Computing)

GPU Memory Size and Deep Learning Performance (batch size) 12GB vs 32GB -- 1080Ti vs Titan V vs GV100

Posted in HPC Blog on 04/27/2018 by Dr Donald Kinghorn

Batch size is an important hyper-parameter for Deep Learning model training. When using GPU accelerated frameworks for your models the amount of memory available on the GPU is a limiting factor. In this post I look at the effect of setting the batch size for a few CNN's running with TensorFlow on 1080Ti and Titan V with 12GB memory, and GV100 with 32GB memory.


Agisoft PhotoScan 1.4.1 - GeForce GPU Comparison

Posted in Articles on 04/26/2018 by William George

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 the GeForce 1000-series - based on NVIDIA's Pascal GPU architecture - to see how they compare to each other.