eicker to TechnologyEnglish · 3 days agoTim Cook sees Apple’s hybrid AI strategy as a ‘competitive weapon’: Apple emphasizes that much of its AI suite — Apple Intelligence — can be run on the devices themselves.www.cnbc.comAquileo | external-linkAquileo | message-square40Aquileo | linkAquileo | fedilinkAquileo | arrow-up1144Aquileo | arrow-down18
Aquileo | arrow-up1136Aquileo | arrow-down1Aquileo | external-linkTim Cook sees Apple’s hybrid AI strategy as a ‘competitive weapon’: Apple emphasizes that much of its AI suite — Apple Intelligence — can be run on the devices themselves.www.cnbc.comeicker to TechnologyEnglish · 3 days agoAquileo | message-square40Aquileo | linkAquileo | fedilink
Aquileo | minus-squarefartsparklesAquileo | linkAquileo | fedilinkEnglishAquileo | arrow-up12Aquileo | arrow-down1·3 days agoIt seems to have been a plan for a long time, given their huge shift to unified memory architectures across most of their hardware. They’re pretty much the only vendor where you can cost-effectively deploy a foundational LLM locally.
Aquileo | minus-squareeickerOPAquileo | linkAquileo | fedilinkEnglishAquileo | arrow-up5·3 days agoIt would seem so. On the other hand, it is puzzling that they did not also allocate the necessary resources to the development of LLMs. 🤷
Aquileo | minus-squaregreyscale@lemmy.grey.oooAquileo | linkAquileo | fedilinkEnglishAquileo | arrow-up9·3 days agoWhy bother? Just wait for one of the AI bro companies to go bust and buy the wreckage.
Aquileo | minus-squareeickerOPAquileo | linkAquileo | fedilinkEnglishAquileo | arrow-up2Aquileo | arrow-down1·3 days agoHehe… 😈
Aquileo | minus-squareeleitl@lemmy.zipAquileo | linkAquileo | fedilinkEnglishAquileo | arrow-up2·3 days agoStill nobody build a unified memory model with HBM. I would buy Apple hardware, then. If I can put Linux on it. Perhaps I can buy a used Instict with generics science acceleration, once the smoke clears. And add a couple solar kWp to my capacity.
It seems to have been a plan for a long time, given their huge shift to unified memory architectures across most of their hardware.
They’re pretty much the only vendor where you can cost-effectively deploy a foundational LLM locally.
It would seem so. On the other hand, it is puzzling that they did not also allocate the necessary resources to the development of LLMs. 🤷
Why bother? Just wait for one of the AI bro companies to go bust and buy the wreckage.
Hehe… 😈
Still nobody build a unified memory model with HBM. I would buy Apple hardware, then. If I can put Linux on it.
Perhaps I can buy a used Instict with generics science acceleration, once the smoke clears. And add a couple solar kWp to my capacity.