New CPU Announcement: AMD Ryzen 9 3950X

AMD has launched the top-end model in their 3rd gen Ryzen processor family, a 16-core processor named Ryzen 9 3950X! We’ve tested it across a wide range of real-world applications, and are very excited about being able to offer this CPU in our workstations after AMD releases it for sale November 25th, 2019.

Real world benchmarks are about more than just competing for big numbers

Over the last year, we have been hard at work improving, polishing, and making our internal benchmarks available to the general public. But why are we spending so much effort on this project? After all, this kind of development takes a significant amount of time, and is often much harder to do than you might realize since most applications are not made to be used in this manner.

Will Artificial Intelligence End up Replacing Creatives?

At events like Adobe MAX, NAB, or SIGGRAPH, Artificial Intelligence and Machine Learning is always a hot topic. Creatives love what it is already doing to speed up or enhance their work, but there is almost always an underlying fear that one day, AI will replace them. Is that a valid worry, or is AI just a fad that will pass?

Samsung SSD Speed Comparison

Our systems have moved to almost entirely to solid-state drives (SSDs) for primary storage, making our old video looking at hard drive vs SSD boot times rather outdated. But are all of the SSDs we use equal, or are there benefits to one over another for typical computer usage? We compared four of the Samsung models we carry to see how they compare in boot up, file copy, and application launch times.

Rethinking SaaS

I had an experience with Office 365 that’s made me reconsider how I feel about the SaaS (software as a service) model. When Microsoft began offering Office as a subscription, I jumped at the opportunity. The idea of paying a reasonable monthly fee in exchange for the latest version and features seemed like a great deal.

Data Science PCs with NVIDIA Titan RTX

Puget Systems has worked directly with NVIDIA to provide turnkey solutions for data scientists. We’ve taken our approach of optimizing hardware configurations for specific use cases and paired that with an installation of RAPIDS, NVIDIA’s open source, GPU-accelerated platform for data science. This allows you to get up and running faster as well as makes you more efficient during testing and development.