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


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

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!

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.

Joel Beasley talks with Jon Bach, the Founder of Puget Systems. They discuss crafting company culture, why they are a computer company with no computers on their homepage, and Jon gives some advice to young entrepreneurs looking to break into the startup world.

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

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.

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.
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.

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.