Files
client-projects/applications/01-proxmox-&-vm-passthrough-setup.md
T
jerome 05eccd5b53 chore: consolidate Syslog Solution code into unified repository structure
- Moved scattered scripts, templates, and documentation into organized directories (applications/, scripts/, assets/).
- Updated .gitignore to strictly exclude secrets, state files, and IDE configs.
- Added comprehensive README.md outlining repository structure and best practices.
- Preserved all existing documentation and technical architecture files.
- Prepared infrastructure/ for AWS Org and Proxmox Terraform management.
2026-05-07 11:40:02 +00:00

1.5 KiB

01 - Proxmox & VM Passthrough — Home

Purpose: Complete setup guide for Proxmox VM passthrough with optimal resource allocation.

Topics Covered

  • GPU Passthrough: Configure AMD/Intel/NVIDIA GPUs for VM access
  • NVMe Passthrough: Pass NVMe drives to VMs for high I/O performance
  • USB Passthrough: Connect USB devices (webcams, dongles, etc.) to VMs
  • Networking: Bridge networking, VLANs, and virtual switches
  • Resource Allocation: CPU cores, RAM, and storage optimization
  • [00 - Proxmox & VM Passthrough](00 - Proxmox & VM Passthrough.md) — This overview document
  • [03 - AMD GPU Passthrough](../03\ -\ AMD\ GPU\ Passthrough/) — AMD-specific setup

Quick Start

Create a VM with GPU Passthrough

# Step 1: Find available GPU
rocm-smi | grep "GPU"  # AMD
nvidia-smi             # NVIDIA

# Step 2: Create VM with GPU passthrough
qm create 100 --name qwen-vm --memory 32768 --cores 8 --arch x86_64
qm set 100 --hostpci0=0000:03:00.0,pcie=1,x-vga=1  # AMD example

# Step 3: Install QEMU Guest Agent
apt install qemu-guest-agent

# Step 4: Reboot VM
qm reboot 100

Best Practices

  1. IOMMU Groups: Always check if devices are in separate IOMMU groups
  2. VFIO Modules: Ensure vfio-pci module is loaded before boot
  3. PCIe Hotplug: Disable for stability unless required
  4. Memory Ballooning: Disable in VM for consistent performance

This guide is essential for GPU passthrough to VMs running LLM inference workloads.