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web/app/docs/hardware/coral-tpu-lxc/page.tsx
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@ -14,7 +14,7 @@ export default function CoralTPULXC() {
<p className="mb-4">
This guide explains how to configure Google Coral TPU support for LXC containers in Proxmox VE using <strong>ProxMenux</strong>.
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 <a href='https://frigate.video/' target='_blank' className='text-blue-600 hover:underline'>Frigate</a> or <a href='https://www.ispyconnect.com' target='_blank' className='text-blue-600 hover:underline'>Agent DVR</a> or <a href='https://blueirissoftware.com/' target='_blank' className='text-blue-600 hover:underline'>Blue Iris</a> using <a href='https://www.codeproject.com/ai/index.aspx' target='_blank' className='text-blue-600 hover:underline'>CodeProject.AI</a>.
</p>
<h2 className="text-2xl font-semibold mt-8 mb-4">Overview</h2>
@ -68,14 +68,10 @@ export default function CoralTPULXC() {
<h2 className="text-2xl font-semibold mt-8 mb-4">Important Considerations</h2>
<ul className="list-disc pl-6 space-y-2 mb-6">
<li>The script supports both USB and M.2 Coral TPU devices.</li>
<li>The container must be privileged to access TPU hardware.</li>
<li>The Proxmox host must have the required Coral TPU and Intel GPU drivers installed.</li>
<li>Additional application-specific configurations may be required inside the container.</li>
</ul>
<p className="mt-6 italic">
By using ProxMenux, Coral TPU and iGPU support can be enabled in LXC containers efficiently, avoiding manual configuration steps.
</p>
</div>
)
}