Idea of getting GPU into the lab popped up long time ago, around 2019, and idea was to run small models for some tasks, like an upscaling of images and image recognition.
Idea of getting GPU into the lab popped up long time ago, around 2019, and idea was to run small models for some tasks, like an upscaling of images and image recognition.
Since our last one-side conversation, plenty of different new obstacles appeared and challenged homemade infrastructure, but some of them are accumulated as general term “network issue”. And yes, this post about network from non-network engineer.
As a continuation of the previous post about hardware racking and cabling, to bring more order in the cables and server composition, including cases, cables and overall view.
This story started some time ago with intention to learn a bit about buzz words and their influence to modern word. On other hand all of the applications working for a while on Docker, and from this side come another problem. With growing up container infrastructure at home lab appeared problem with resources and upsetting performance of Hyper-V VM (yes, it still exist).