Will the workloads exist? As in not going straight to something at least as dedicated as the Strix Halo CPU/GPU combo (with air quotes around the G)? Or the Apple max? Somehow I don't picture this as an attempt to make a full AI rig that just happens to be x86 in the housekeeping parts but just something that will make CPU inference a little less bad. In that case it would at best be a hedge against some low requirements use case becoming more important than expected, yet another unused spec sheet checkbox engineering marvel otherwise.
This all went over my head, but does anyone know either how much faster this will make things (4x faster than AVX512 at 2048-bit??), and if unified memory plus a basic GPU will render this dead in the water?
FWIW, I wouldn't be surprised if you only have a couple threads using this at a time max since it looks an awful lot Apple's AMX/SME stuff. Those Apple execution units only have single engines shared about per cluster.
XSAVE lets you not bother saving register state that user space hasn't changed at the granularity of each large feature.
Great article. What does the (organizational) process look like to convert one of these specs to a processor product, does it go through a committee like the C++ standards?
> AMD, in partnership with Intel and the x86 EAG (Ecosystem Advisory
Group) [EAG24], is readying ACE as the standard matrix acceleration architecture for x86, further enhancing the already
vibrant x86 ecosystem.
In the meantime x86 don't have much in the roadmap that compete well with ARM vendor's offering. And that was before Nvidia decided to join the fight.
FWIW, I wouldn't be surprised if you only have a couple threads using this at a time max since it looks an awful lot Apple's AMX/SME stuff. Those Apple execution units only have single engines shared about per cluster.
XSAVE lets you not bother saving register state that user space hasn't changed at the granularity of each large feature.
Source: https://x86ecosystem.org/wp-content/uploads/2026/03/ACE-Whit...