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Update page.tsx
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import type { Metadata } from "next"
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import type { Metadata } from "next"
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import { Steps } from "@/components/ui/steps"
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export const metadata: Metadata = {
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export const metadata: Metadata = {
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title: "Coral TPU to an LXC | ProxMenux Documentation",
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title: "Coral TPU to an LXC | ProxMenux Documentation",
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description: "Learn how to add a Coral TPU to an LXC container in Proxmox VE using ProxMenux.",
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description: "Learn how to add Coral TPU support to an LXC container in Proxmox VE.",
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}
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}
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export default function CoralTPULXC() {
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export default function CoralTPULXC() {
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return (
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return (
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<div className="max-w-3xl mx-auto">
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<div className="max-w-3xl mx-auto">
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<h1 className="text-3xl font-bold mb-6">Coral TPU to an LXC</h1>
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<h1 className="text-3xl font-bold mb-6">Coral TPU to an LXC</h1>
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<p className="mb-4">
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<p className="mb-4">
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This guide will walk you through the process of adding a Coral TPU to an LXC container in Proxmox VE using
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This script automates the process of adding Google Coral TPU (Tensor Processing Unit) support to LXC containers
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ProxMenux.
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in Proxmox VE. It configures containers to leverage the power of Coral TPU for AI and machine learning tasks,
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significantly accelerating inference operations.
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</p>
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<h2 className="text-2xl font-semibold mt-8 mb-4">What Does This Script Do?</h2>
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<p className="mb-4">When executed, this script performs the following actions:</p>
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<ol className="list-decimal pl-6 space-y-2 mb-6">
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<li>Presents a list of available LXC containers for selection</li>
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<li>Configures the selected container to support both Coral TPU and Intel iGPU</li>
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<li>Installs necessary drivers and tools inside the container</li>
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<li>Sets up proper permissions and mounts for hardware access</li>
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</ol>
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<h2 className="text-2xl font-semibold mt-8 mb-4">Key Steps</h2>
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<Steps>
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<Steps.Step title="Container Selection">
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<p>You'll be prompted to select the LXC container you want to enable Coral TPU support for.</p>
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</Steps.Step>
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<Steps.Step title="Container Configuration">
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<p>The script modifies the container's configuration to allow Coral TPU and iGPU access. This includes:</p>
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<ul className="list-disc pl-6 space-y-1 mt-2">
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<li>Ensuring the container is privileged (for necessary permissions)</li>
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<li>Enabling nesting feature</li>
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<li>Adding device permissions for TPU and GPU access</li>
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<li>Setting up proper mounts for TPU and GPU devices</li>
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</ul>
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</Steps.Step>
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<Steps.Step title="Driver Installation">
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<p>Inside the container, the script installs required packages:</p>
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<ul className="list-disc pl-6 space-y-1 mt-2">
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<li>GPU drivers (va-driver-all, intel-opencl-icd)</li>
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<li>Coral TPU dependencies and drivers</li>
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<li>Python and necessary libraries</li>
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</ul>
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</Steps.Step>
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<Steps.Step title="Coral TPU Driver Selection">
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<p>
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If a Coral M.2 device is detected, you'll be prompted to choose between standard and maximum performance
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drivers.
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</p>
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</Steps.Step>
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</Steps>
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<h2 className="text-2xl font-semibold mt-8 mb-4">What to Expect</h2>
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<ul className="list-disc pl-6 space-y-2 mb-6">
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<li>The script will guide you through the process with clear prompts.</li>
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<li>Your selected container will be stopped briefly during configuration.</li>
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<li>The entire process usually takes a few minutes to complete.</li>
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<li>After completion, your container will be ready to use both Coral TPU and the host's iGPU.</li>
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</ul>
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<h2 className="text-2xl font-semibold mt-8 mb-4">Important Notes</h2>
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<ul className="list-disc pl-6 space-y-2 mb-6">
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<li>This script supports both USB and M.2 versions of Coral TPU.</li>
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<li>The container will be changed to privileged mode if it wasn't already.</li>
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<li>Ensure your Proxmox host has the necessary Coral TPU and Intel GPU drivers installed.</li>
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<li>
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For M.2 Coral TPUs, you can choose between standard and maximum performance modes. The maximum performance
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mode may generate more heat.
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</li>
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<li>Some applications inside the container may require additional setup to utilize the Coral TPU.</li>
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</ul>
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<p className="mt-6 italic">
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This script simplifies the process of enabling Coral TPU and iGPU acceleration in your LXC containers without
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the need for manual configuration file editing or running complex commands. This setup is ideal for AI and
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machine learning workloads that can benefit from hardware acceleration.
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</p>
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</p>
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{/* Add more content here */}
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</div>
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</div>
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)
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)
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}
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}
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