… On my aged system, I simply ran the ls -l /dev/nvidia command to get the device IDs 195, 235, and 237 for my GPU , pasted the following syntax into the LXC’s config file, and installed the graphics card drivers inside the LXC to configure GPU passthrough, before compiling llama.cpp’s Vulkan variant… …
… I’d already done this for my host machine with the following commands, so all I had to do was pass them to the freshly-configured LXC. wget https://us.download.nvidia.com/XFree86/Linux-x86 64/580.119.02/NVIDIA-Linux-x86 64-580.119.02.run chmod +x NVIDIA-Linux-x86 64-580.119.02.run ./NVIDIA-Linux-x8… …
… Related 4 reasons you should create a dev VM if you’re even remotely into coding Virtual machines are a game-changer for coding enthusiasts But it’s just as effective for Docker-based projects You can even set up conventional FOSS utilities on Coolify Coolify may be more dev-centric than most conta… …
… For my Nvidia-powered rig, I tend to add the following lines at the bottom of the file, but you might want to change the number after the lxc.cgroup2.devices.allow: c argument to match the GPU components from the output of the ls -l /dev/nvidia command. lxc.cgroup2.devices.allow: c 195: rwm lxc.cgr… …
… Heck, you’ve got handy tools like AirDrop that remain inaccessible outside of Apple’s premium devices. Self-hosted applications on a local server spare me from the OS problem, without the privacy-intrusive aspects of their cloud-based counterparts. …
… SearXNG See at Github Home Assistant A central hub for your smart home Despite making your life more convenient, smart devices that connect to the cloud are riddled with privacy and security problems. …
… Its absence in RapidRAW is a commendable feat for experienced software developers, and more so, for one teen. Yes, the community is steering and assisting in the development of this well-documented project, but it's already usable on Windows, macOS, and Linux, with Android builds in the pipeline. …
… If I’m working on something that requires spinning up heavy service stacks, database containers, or intensive cloud-aligned architectures, I don’t want my laptop fans spinning at maximum speed. Running it on Antigravity’s cloud workspace infrastructure leaves my local machine unburdened. …
… As a home labber who loves tinkering with DevOps projects, I conduct most of my experiments on my local nodes, and I’d rather not let some cloud-based LLM gain access to the credential files, API tokens, and server configs I keep in my Terraform and Ansible project directories. …
… And if I need anything bigger, I can use Nvidia's cloud models or my Claude subscription. …