Dang It Was Me

Nothing will drive you to the brink of madness faster than trying to install Nvidia drivers on Linux. What should be a simple task becomes a descent into dependency hell, kernel module nightmares, and cryptic error messages that make you question your life choices. The true origin story of every supervillain isn't childhood trauma—it's just a sysadmin who tried to get CUDA working on Ubuntu.

Content When everyone is worried about the Corona Virus but you are using Linux 110 191 Tehe 1 D 0 69 o o Fig brig 1 0 040D

Content SO, WHERE DiD YOU TWO MEET?" At THE OFFicE AT STARBUCKS GiT HUB WiNDOWS USERS MAC USERS LiNUX USERS

Content Cyris sudooverflow All I want to know is will elonmusk's NeuroLink have an API and can I get my memories in JSON format? 3:50 01 Sep 20 TweetDeck

Content README.md FauxPilot This is an attempt to build a locally hosted version of GitHub Copilot. It uses the SalesForce CodeGen models inside of NVIDIA's Triton Inference Server with the FasterTransformer backend. Prerequisites You'll need: Docker docker -compose 1.28 An NVIDIA GPU with enough VRAM to run the model you want. nvidia-docker Note that the VRAM requirements listed by setup. sh are total - if you have multiple GPUs, you can split the model across them. So, if you have two NVIDIA RTX 3080 GPUs, you should be able to run the 6B model by putting half on each GPU Support and Warranty Imao

Content Where do you save your code? Google Drive