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this post was submitted on 16 Sep 2026
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Apple hardware is one of the best platforms for low scale AI workloads. A simple M4 Pro MacBook Pro with 64GB RAM can comfortably run the best "at-home" model currently available (Qwen3-Coder-Next) around 30-40tkps.
A comparably specced AMD Ryzen AI 395+ can do about half of that.
If Apple delivered that in server-scale, easily scalable packages, there would definitely be buyers.
I don't know man, anything that becomes a full-sized server/hardware has different pricing than mini-PCs. We are talking about a collaboration with Nvidia, a company that manages to overcharge everyone.
Of course the pricing will be different. My point here was that if Apple can jam that much compute into something as small as a Mac Mini, imagine what they can deliver at 4-5U scale.
Apple and Nvidia hardware combined might just be the solution to more scalable AI compute that uses less power.
I’m imagining someone sticking Mac Minis into a UCS chassis as the server blades and giggling a bit
i am assuming the performance comes from the soldered components improving signal integrity? the same reason the framework desktop has soldered memory? if true, then there would not be much customization, i imagine.