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!
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 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.
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.
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?
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
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.
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.
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.
Despite how popular SOLIDWORKS is, there is a lot of outdated and simply inaccurate information on the web regarding what video card you should use. For this article I tested multiple graphics cards from the Quadro, GeForce, and Radeon Pro families at both 1080p and 4K resolutions – and quickly found that either things are now a lot simpler than in my past experience, or else something is no longer up to snuff regarding how we have tested SOLIDWORKS GPU performance in the past.
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
