The new AMD Threadripper 7000 series CPUs are here, offering significant perforamnce gains in DaVinci Resolve. But, is it enough for AMD to take the lead over Intel Xeon W?
LLM Server Setup Part 1 – Base OS
This post is Part 1 in a series on how to configure a system for LLM deployments and development usage. The configuration will be suitable for multi-user deployments and also useful for smaller development systems. Part 1 is about the base Linux server setup.
Setting Virtual Production Standards with Vū
We spoke with the team at Vū about their experiences working with Puget Systems and how clusters of our workstations help them drive massive LED walls.
How to Resolve ‘This Device is Disabled (Code 22)’ Error in Windows 11
At the heart of resolving many hardware problems is the ability to diagnose and alter device settings effectively within this powerful tool.
AI/ML Vocabulary Glossary
AI and Machine Learning have a large number of technical terms that can be confusing to those new to this space. This glossary features easy to understand definitions for a variety of terms related to AI and machine learning.
Case Study with The Slow Mo Guys
We talked with Gavin about the evolution of The Slow Mo Guys YouTube channel and how Puget Systems provides the computing power required to make it work.
AMD Microsoft Olive Optimizations for Stable Diffusion Performance Analysis
AMD has published a guide outlining how to use Microsoft Olive for Stable Diffusion to get up to a 9.9x improvement in performance. But is that enough to catch up to NVIDIA?
NVIDIA TensorRT Extension for Stable Diffusion Performance Analysis
NVIDIA has released a TensorRT extension for Stable Diffusion using Automatic 1111, promising significant performance gains. But does it work as advertised?
Case Study with Ross Shain
We talked with Ross Shain, a veteran of the post-production industry and creative technology evangelist, about how he uses his Puget Systems workstation.
Case Study with Jonathan Winbush
VFX and motion graphics legend Jonathan Winbush talks about his work, his workflows, and how those impact the hardware he relies on to do his best work.
