alt Hacker NewsIs x86 ready to ACE it?
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I assume Zen 6 won't support these, so we are looking Zen 7 at the earliest, which is 2028 earliest.
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.
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?
Sounds interesting, I wonder if any of it will be available on consumer hardware. Making CUDA work across the stack seems to be the key thing that helped NVIDIA become the main purveyor of GPUs for AI. Apple seems to be doing well by the same approach.
Last time I looked, anything remotely useful here was only on the Xeon chips, which means there'll be very few open source and even fewer non-corporate folks doing anything interesting with it.
AMD seems to be better at that, maybe there's hope.
With 8kb of registers for just this one feature, what does a modern process-control-block look like?
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?
Could the registers potentially be used to store encryption keys?
Questionable acronym choice; immediately made me think of arbitrary code execution (which, you know, I would hope any processor would be capable of)
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.