diff --git a/web/app/docs/hardware/coral-tpu-lxc/page.tsx b/web/app/docs/hardware/coral-tpu-lxc/page.tsx index 234ebb1..3057f10 100644 --- a/web/app/docs/hardware/coral-tpu-lxc/page.tsx +++ b/web/app/docs/hardware/coral-tpu-lxc/page.tsx @@ -11,21 +11,17 @@ export default function CoralTPULXC() { return (
This guide explains how to configure Google Coral TPU support for LXC containers in Proxmox VE using ProxMenux. Coral TPU provides dedicated AI acceleration, improving inference performance for machine learning applications. It is particularly useful for video surveillance applications with real-time video analysis, such as Frigate or Agent DVR or Blue Iris using CodeProject.AI.
- +The script automates the following steps:
-The script automates the complete configuration of Coral TPU support in LXC containers, including USB and M.2 variants. It applies Proxmox-specific container settings, manages device passthrough permissions, and installs required drivers both on the host and inside the container.
+The USB variant uses a persistent mapping based on /dev/coral
via udev
rules, avoiding reliance on dynamic USB paths like /dev/bus/usb/*
. This ensures consistent device assignment across reboots and hardware reordering.
The M.2 version is detected automatically and configured only if present.
+The script installs the necessary components inside the container:
va-driver-all
ocl-icd-libopencl1
intel-opencl-icd
vainfo
intel-gpu-tools
python3
python3-pip
python3-venv
gnupg
curl
libedgetpu1-std
(standard performance)libedgetpu1-max
(maximum performance, optional)/dev/coral
created by a udev rule. This improves stability and avoids issues with changing USB port identifiers.lspci
and configured only if present.