diff --git a/web/app/docs/hardware/coral-tpu-lxc/page.tsx b/web/app/docs/hardware/coral-tpu-lxc/page.tsx index aeb6fd1..234ebb1 100644 --- a/web/app/docs/hardware/coral-tpu-lxc/page.tsx +++ b/web/app/docs/hardware/coral-tpu-lxc/page.tsx @@ -14,7 +14,7 @@ export default function CoralTPULXC() {

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. + 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.

Overview

@@ -68,14 +68,10 @@ export default function CoralTPULXC() {

Important Considerations

-

- By using ProxMenux, Coral TPU and iGPU support can be enabled in LXC containers efficiently, avoiding manual configuration steps. -

) }