<oembed><type>rich</type><version>1.0</version><author_name>npub1vfacxn2wepmqguu93takp8x5w0a2drjluqvrkx8p4u47dv46mzasvxznvn</author_name><author_url>https://nostr.ae/npub1vfacxn2wepmqguu93takp8x5w0a2drjluqvrkx8p4u47dv46mzasvxznvn</author_url><provider_name>njump</provider_name><provider_url>https://nostr.ae</provider_url><html>I&#39;ll note on that Ryzen AI Halo? It&#39;s Memory bandwidth is 256Gbs, so it&#39;s operating at a level on par with Framework&#39;s Max 395+ Desktop.&#xA;That being said, for local AI compute, your options for Frontier Models is to either network multiple devices like this together through stuff like exolab&#39;s software, or to get something like a Threadripper/EPYC, or Intel equiv. to get together a bunch of old Server GPUs like V100s from Nvidia or the AMD options with a couple of adapter cards if you can&#39;t find a central server unit that the SXM interface expects.&#xA;At that point, we&#39;re less getting a model together for AI Waifu Coom sessions, and building out a complicated stack for Homelab tier of AI compute, which means we&#39;re either exploring some niche use cases for AI, or building a bespoke coding assistant, or such.</html></oembed>