At the start of this year I bought the house I had been renting for the previous 14 years and since then I’ve been busy doing things like renovating and automating it.
How I’ve done that will be in a separate series of blog entries, however at it’s heart is a Raspberry PI 4B with the official touch screen mounted at the top of a wall in the Kitchen running Home Assistant.
I also have a larger monitor mounted on a wall in my home office which has a Raspberry PI 2B which shows a Grafana dashboard for monitoring my home systems.
In both instances they are running as a kiosk so that when they boot up they automatically open a browser on a fixed page.
This guide covers how to setup a PI from scratch into a simple kiosk.
Late last year I got a couple of ASUS 2U server’s off eBay which are now racked in my home lab. They came with some Nvidia Tesla K10 GPU compute cards in them, 4 in each, and I wanted to get them setup so that I could use CUDA & potentially rendering with either Blender or Davinci Resolve as a render farm.
As I installed Ubuntu 20.04 in them, I thought it was going to be as simple as just installing CUDA – which it was with a minor setback. The current version of CUDA is 11 which Nvidia decided to remove support for compute level 3.0 devices including the K10’s I have, so I had to install the earlier version.