Linux is often considered the operating system of choice for power users, but does DaVinci Resolve actually perform any better in it than in Windows? Even if it does, is it enough to compensate for Linux’s much higher learning curve?
GPU Technology Conference 2018
Puget Systems will be exhibiting at this year’s GPU Technology Conference, March 26th – 29th. We will be displaying our new GPU accelerated workstations including those for photogrammetry, rendering, virtual reality and machine learning. Come meet with us at Booth #705!
NAMD Performance on Xeon-Scalable 8180 and 8 GTX 1080Ti GPUs
This post will look at the molecular dynamics program, NAMD. NAMD has good GPU acceleration but is heavily dependent on CPU performance as well. It achieves best performance when there is a proper balance between CPU and GPU. The system under test has 2 Xeon 8180 28-core CPU’s. That’s the current top of the line Intel processor. We’ll see how many GPU’s we can add to those Xeon 8180 CPU’s to get optimal CPU/GPU compute balance with NAMD.
After Effects CC 2018 CPU Comparison: Intel 8th Gen vs X-series vs Ryzen vs Threadripper
After Effects is a tricky application when it comes to choosing a CPU as there are many factors that come into play. Not only is there raw rendering performance, but the new integration with Cinema4D and even the amount of system RAM you need all play a role in determining what CPU is the ideal choice for your workflow.
SOLIDWORKS 2018 GPU Comparison: Monster (Sized) Model
Following up on our previous article about SOLIDWORKS 2018 GPU performance, we have been provided with an extremely complex assembly that finally shows some performance difference between low- and high-end video cards within the same family. Armed with this 4372 part, 40.9 million triangle model we ran through testing on multiple Quadro and Radeon Pro graphics cards to see how they handle such a monstrously large project.
DaVinci Resolve 14 GPU Scaling: Core i9 vs Xeon W vs Dual Xeon SP
Blackmagic’s DaVinci Resolve is known for how well it utilizes multiple GPUs to improve performance, but is this still true with cards like the new NVIDIA Titan V? And do you really need a Xeon or Dual Xeon setup to get the best performance possible?
Workstations with PNY Quadro
Designed and built specifically for professional workstations, NVIDIA Quadro GPUs power more than 200 professional applications across a broad range of industries including manufacturing, media and entertainment, sciences, and energy. Professionals trust them to realize their most ambitious visions
TensorFlow Scaling on 8 1080Ti GPUs – Billion Words Benchmark with LSTM on a Docker Workstation Configuration
In this post I present some Multi-GPU scaling tests running TensorFlow on a very nice system with 8 1080Ti GPU’s. I use the Docker Workstation setup that I have recently written about. The job I ran for this testing was the “Billion Words Benchmark” using an LSTM model. Results were very good and better than expected.
How-To Setup NVIDIA Docker and NGC Registry on your Workstation – Part 5 Docker Performance and Resource Tuning
This should be the last post in this series dealing with the Docker setup for accessing the NVIDIA NCG Docker registry on your workstation. There are a couple of configuration tuning changes that you may want to make. These will improve performance and ensure that you have proper system “user limit” resources to handle large application and job runs with docker.
$10,000 iMac Pro vs Custom PC – Which is faster??!
In this video, Matt Granger breaks down the real world performance in the Adobe CC of a Puget Systems workstation versus similarly priced 2018 iMac Pro.
