There comes a time when a unique opportunity presents itself to upgrade your secondary machine GPU to something a bit beefier and up-to-par with some of the more recent specs. Such an opportunity just happened to come up this week - in the midst of the crypto crash there are now magically GPUs available at MSRP again. It’s like Christmas in the middle of Summer. With Founders Edition (FE) versions being available at select retailers, I decided to invest in a NVIDIA GeForce RTX 3080 Ti that will replace my (not yet aging) EVGA GeForce RTX 2080 Super which I will now use as a backup card, or at some point - as an external pass-through GPU for a Linux gaming box.
One of the things that I am diving much deeper (pun intended) into lately is deep learning. And with deep learning, one of the things that can help you the most when it comes to having the right hardware locally is a beefy Graphics Processing Unit (GPU). As it turns out, offloading tasks that involve matrix multiplication to the GPU yield massive performance benefits compared to doing the same thing on the Central Processing Unit (CPU).
Right before the end of the year, I wrote about my updated approach to recording Nest video streams without having to worry about the Nest Aware subscription by reading from the video stream directly with the help of a .NET-based application I wrote, called FoggyCam.