Apple to occupy 90% of TSMC 3nm capacity in 2023
macrumors.com
Apple to occupy 90% of TSMC 3nm capacity in 2023
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Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#2As a complete other aside, I'm excited to see what comes with the M3, particularly any neural cores. I would be much more excited about all the new AI tools if they could be run locally, Apple are again in the unique position to be able to make that possible for the masses. WWDC is hopefully going to be super interesting.
What we need is a sudden and massive increase in memory on these chips to make having LLMs viable on everyday affordable devices. I do wander if that may be something Apple surprise us with.
Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#3Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#4Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#5Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#6Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#7I am really excited about the M3. The M1, with its unified memory it can already run decently large LLMs. It would be great if Apple was able to make the M3 even better at that. In addition, it seems like there is a lot of momentum in releasing models that the user can run on consumer hardware. I would love to have my own private LLMs running on my own hardware
Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#8I feel this is a complete waste of leading tech: going into another slate of Apple products that do not need these advancements. I feel these slots should go to GPUs for AI and Apple is just hogging the capacity. It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers.
Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#9Re: Apple to occupy 90% of TSMC 3nm capacity in 2023
#10I feel this is a complete waste of leading tech: going into another slate of Apple products that do not need these advancements. I feel these slots should go to GPUs for AI and Apple is just hogging the capacity. It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers.