news
Valnet's HowTos for Proxmox
-
XDA ☛ Who needs Proxmox templates? I built my own base image instead
This year has been somewhat of a revelation for my home lab, as I finally moved my mess of containers and virtual machines from my Windows desktop and NAS to a dedicated mini PC with Proxmox as the hypervisor. Then I got really excited about HA clustering, only to decide that those mini PCs weren't powerful enough and move the whole shebang onto a Strix Halo mini PC with tons of RAM.
It'll be going onto a dedicated server in a 6U chassis after the holidays have quietened down, but the constant shifting in scale has taught me one thing. I need to be smarter about the images I use to create my containers and VMs, and also that automation tools are my next knowledge gap.
-
XDA ☛ I automated my Proxmox home lab with Terraform
Besides housing my self-hosted arsenal, Proxmox serves as a solid testing ground for tinkering with VMs and training my DevOps skills. After all, it’s light enough to run on practically any old hardware, while including advanced features such as clustering and SDN stacks without charging a dime. In fact, I often use Proxmox with different automation services just to get the hang of managing nodes via configuration files.
-
XDA ☛ Running Proxmox VMs with GPU passthrough is much easier than it used to be
Proxmox includes plenty of advanced options to make your home lab a force to be reckoned with, including everything from clusters and SDN tools to ZFS-powered RAID pools and cloud-init templates. But if you’re working on intensive virtual machine projects, you’ll want to arm them with ample system resources. And I don’t just mean extra v-cores and memory, either.
Since Proxmox supports GPU passthrough, you can even equip your VM with a graphics card to boost its prowess in gaming, LLM training, and other demanding tasks. On the surface, GPU passthrough may seem rather convoluted, as you’ll have to configure a bunch of settings, modify some kernel parameters, and tweak certain config files to leverage your graphics card in your virtual machine. However, it’s a lot more straightforward than you might think – even more so when you rely on third-party tools.