diff --git a/web/app/docs/hardware/coral-tpu-lxc/page.tsx b/web/app/docs/hardware/coral-tpu-lxc/page.tsx index c3b7c0e..b468c04 100644 --- a/web/app/docs/hardware/coral-tpu-lxc/page.tsx +++ b/web/app/docs/hardware/coral-tpu-lxc/page.tsx @@ -1,19 +1,86 @@ import type { Metadata } from "next" +import { Steps } from "@/components/ui/steps" export const metadata: Metadata = { title: "Coral TPU to an LXC | ProxMenux Documentation", - description: "Learn how to add a Coral TPU to an LXC container in Proxmox VE using ProxMenux.", + description: "Learn how to add Coral TPU support to an LXC container in Proxmox VE.", } export default function CoralTPULXC() { return (

Coral TPU to an LXC

+

- This guide will walk you through the process of adding a Coral TPU to an LXC container in Proxmox VE using - ProxMenux. + This script automates the process of adding Google Coral TPU (Tensor Processing Unit) support to LXC containers + in Proxmox VE. It configures containers to leverage the power of Coral TPU for AI and machine learning tasks, + significantly accelerating inference operations. +

+ +

What Does This Script Do?

+

When executed, this script performs the following actions:

+
    +
  1. Presents a list of available LXC containers for selection
  2. +
  3. Configures the selected container to support both Coral TPU and Intel iGPU
  4. +
  5. Installs necessary drivers and tools inside the container
  6. +
  7. Sets up proper permissions and mounts for hardware access
  8. +
+ +

Key Steps

+ + +

You'll be prompted to select the LXC container you want to enable Coral TPU support for.

+
+ +

The script modifies the container's configuration to allow Coral TPU and iGPU access. This includes:

+
    +
  • Ensuring the container is privileged (for necessary permissions)
  • +
  • Enabling nesting feature
  • +
  • Adding device permissions for TPU and GPU access
  • +
  • Setting up proper mounts for TPU and GPU devices
  • +
+
+ +

Inside the container, the script installs required packages:

+
    +
  • GPU drivers (va-driver-all, intel-opencl-icd)
  • +
  • Coral TPU dependencies and drivers
  • +
  • Python and necessary libraries
  • +
+
+ +

+ If a Coral M.2 device is detected, you'll be prompted to choose between standard and maximum performance + drivers. +

+
+
+ +

What to Expect

+ + +

Important Notes

+ + +

+ This script simplifies the process of enabling Coral TPU and iGPU acceleration in your LXC containers without + the need for manual configuration file editing or running complex commands. This setup is ideal for AI and + machine learning workloads that can benefit from hardware acceleration.

- {/* Add more content here */}
) }