Considering how long Apple has been putting neural cores in all their chips, and the speed at which their in house chips have outpaced competitors (like the M series for example), I feel like not only will Apple beat nvidia at this, Apple will do so by a decent amount.
That said, nvidia will continue to sell world wide in this market as Apple will keep their chips in only their own hardware, so if you’re not running a Mac/IOS device, you’ll be using nvidia chips.
Either way, even if Apple just keeps up, competition is still best for everyone, so I welcome this development.
The problem has two sides: software and hardware. You can open source the software side all you want, it’s not gonna go very far when it has to fight against the hardware instead of working with it.
ROCm is open source, but it’s AMD. Their hardware has historically not been as powerful and therefore attractive to the target audience, so it’s been going slow.
Considering how long Apple has been putting neural cores in all their chips, and the speed at which their in house chips have outpaced competitors (like the M series for example), I feel like not only will Apple beat nvidia at this, Apple will do so by a decent amount.
That said, nvidia will continue to sell world wide in this market as Apple will keep their chips in only their own hardware, so if you’re not running a Mac/IOS device, you’ll be using nvidia chips.
Either way, even if Apple just keeps up, competition is still best for everyone, so I welcome this development.
yes… apple is reserving their market leader to not capture a new market…
The m chips are only good for inference and not for training. That is still unparalleled with CUDA. Pun intended.
I still don’t understand how an open source alternative with better hardware support hasn’t happened yet.
The problem has two sides: software and hardware. You can open source the software side all you want, it’s not gonna go very far when it has to fight against the hardware instead of working with it.
ROCm is open source, but it’s AMD. Their hardware has historically not been as powerful and therefore attractive to the target audience, so it’s been going slow.