Re:Apple: Transformer architecture optimized for Apple Silicon
by brokencode on Thursday March 23, 2023 @07:40PM
(#35283093)
Nvidia is also no David to Apple’s Goliath. They are both Goliaths who will most likely be battling to build the best hardware for LLMs in the near future.
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Re:Apple: Transformer architecture optimized for Apple Silicon
by highwaylights on Thursday March 23, 2023 @07:48PM
(#35283157)
It’s an exciting time.
I think people are very prematurely counting AMD and even Intel out of this race considering the pace of change.
Re:Apple: Transformer architecture optimized for Apple Silicon
by thallium205 on Thursday March 23, 2023 @10:25PM
(#35284301)
Intel is getting way too comfy soaking in government subsidies. It’s definitely out on the innovation front.
Re:Apple: Transformer architecture optimized for Apple Silicon
by gitfan86 on Thursday March 23, 2023 @09:32PM
(#35283948)
NVDA has the potential to hit huge profit growth in the short term, but not long term
Re:Apple: Transformer architecture optimized for Apple Silicon
by btotes on Thursday March 23, 2023 @09:49PM
(#35284049)
What makes you say that?
Re:Apple: Transformer architecture optimized for Apple Silicon
by gitfan86 on Thursday March 23, 2023 @10:11PM
(#35284197)
There may be a short term panic to get position of CUDA GPUs which will allow NVDA to increase their prices a lot. But then other chip makers and software creator will build alternatives to NVDA
Re:Apple: Transformer architecture optimized for Apple Silicon
by stn_za on Friday March 24, 2023 @03:26AM
(#35286092)
And be so far behind it's not even funny.
Look at AMD vs NVIDIA RTX implementations. Nah, NVDA is a solid buy for long term. They also almost acquired ARM (Which shows where their heads are at at the very least.)
Owning ARM, the thing that is inside ya know, everyone's phones, routers, etc
Re:Apple: Transformer architecture optimized for Apple Silicon
by dragonwriter on Thursday March 23, 2023 @10:18PM
(#35284254)
Google is also in the machine learning hardware, game, on both the remote end and the device end.