| # Hello, and welcome to makefile basics. | |
| # | |
| # You will learn why `make` is so great, and why, despite its "weird" syntax, | |
| # it is actually a highly expressive, efficient, and powerful way to build | |
| # programs. | |
| # | |
| # Once you're done here, go to | |
| # http://www.gnu.org/software/make/manual/make.html | |
| # to learn SOOOO much more. |
| #!/bin/bash | |
| iatest=$(expr index "$-" i) | |
| ####################################################### | |
| # SOURCED ALIAS'S AND SCRIPTS BY zachbrowne.me | |
| ####################################################### | |
| # Source global definitions | |
| if [ -f /etc/bashrc ]; then | |
| . /etc/bashrc |
| sudo dnf update -y && sudo dnf autoremove -y | |
| reboot | |
| # Enable RPMFusion repos: https://docs.fedoraproject.org/en-US/quick-docs/rpmfusion-setup/ | |
| sudo dnf install https://mirrors.rpmfusion.org/free/fedora/rpmfusion-free-release-$(rpm -E %fedora).noarch.rpm https://mirrors.rpmfusion.org/nonfree/fedora/rpmfusion-nonfree-release-$(rpm -E %fedora).noarch.rpm | |
| sudo dnf config-manager --enable fedora-cisco-openh264 | |
| sudo dnf update @core | |
| # If secure boot | |
| sudo dnf install kmodtool akmods mokutil openssl |
| #!/bin/bash | |
| set -e | |
| set -o pipefail | |
| sudo dnf install -y jq fuse fuse-libs | |
| curl -sL \ | |
| $(curl -s 'https://data.services.jetbrains.com/products/releases?code=TBA&latest=true&type=release' \ | |
| | jq -r '.TBA[0].downloads.linux.link') \ |
| #!/bin/bash | |
| # Author: Jesse Koch | |
| # Date: 2025-04-19 | |
| # Description: Runs all of the necessary install scripts for the system. | |
| ######################################## | |
| # RAZMAKAZ SERVER INSTALLER | |
| # | |
| # This script fully sets up a Fedora-based home server for gaming, |
Utilizing dnsmasq and netbootxyz docker container to become a PXE server to deploy various images over a local network. This setup will configure a TFTP server, a DHCP server, a DNS server and iPXE firmware boot files to utilize PXE booting for known or custom boot image resources
I'm going to assume that you already have a fresh copy of Ubuntu Server 22.04.3 LTS with no current packages installed other than SSH
ssh user@ip.ad.dr.ess
To make files with the .tfbackend.config extension use the same icons as .tf files in VS Code, you need to update the vsicons.associations.files entry in your user settings. Here’s how you can do it:
| version: '3' | |
| networks: | |
| mynetwork: | |
| ipam: | |
| config: | |
| - subnet: 172.20.0.0/24 | |
| services: | |
| nodered1: | |
| image: nodered/node-red-docker | |
| ports: |
| github-repo-launcher README | |
| Features | |
| This extensions allows you to clone a github repo and launch vscode just by clicking a link. The link must be in the following format: | |
| vscode://QuetzalSoftware.github-repo-launcher/open?repo=<REPO_NAME>&owner=<OWNER_GITHUB_USERNAME> | |
| For example launch this git training repo. | |
| This is the link: |
Your company's GPU computing strategy is essential whether you engage in 3D visualization, machine learning, AI, or any other form of intensive computing.
There was a time when businesses had to wait for long periods of time while deep learning models were being trained and processed. Because it was time-consuming, costly, and created space and organization problems, it reduced their output.
This problem has been resolved in the most recent GPU designs. Because of their high parallel processing efficiency, they are well-suited for handling large calculations and speeding up the training of your AI models.
When it comes to deep learning, good Cloud GPUs can speed up the training of neural networks by a factor of 250 compared to CPUs, and the latest generation of cloud GPUs is reshaping data science and other emerging technologies by delivering even greater performance