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CUDA Toolkit Release Notes

docs.nvidia.com

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Re: CUDA Toolkit Release Notes

#51

Post by pilooch »

andybak wrote: post #43
dang wrote: post #19

Submitted title was "Nvidia drops support for CUDA on macOS". We changed that for a while to "CUDA 10.2 is the last release to support macOS", which is language from the article itself. Since then someone emailed and asked why the title was like that in light of the discussion at https://news.ycombinator.com/item?id=21617016 , so I've reverted to the article's title. Edit: If the article were more a burying the lede…

Any title that gives us a clue why the story is worthy of note. At the moment it's frustrating as you have to click through to find out if you want to click through. (title at the time of my comment was "CUDA Toolkit Release Notes")

As an ML + open source developer for over 10y, MacOS support for deep learning is already long gone, Linux is the prime AI/ML OS. However, Apple and NVidia parting away is a good omen for GPU competition I believe. Whatever Apple hw comes up with, if usable outside MacOS software stack, it'd be an interesting alternative.

Re: CUDA Toolkit Release Notes

#52

Post by amelius »

bitL wrote: post #15
alphagrep12345 wrote: post #11

Why doesn't apple support NVIDIA though? Considering the whole ML and AI community use only NVIDIA GPUs, it sucks that we can't use apple laptops for the same.

NVidia didn't want to pay for failing NVidia chips in MacBooks when they had problems with their manufacturing over half a decade ago and since then Apple tries everything to make NVidia's and its customers' life difficult.

Weren't these chips failing because of bad thermal design of the enclosure?

Re: CUDA Toolkit Release Notes

#53

Post by pvg »

andybak wrote: post #43
dang wrote: post #19

Submitted title was "Nvidia drops support for CUDA on macOS". We changed that for a while to "CUDA 10.2 is the last release to support macOS", which is language from the article itself. Since then someone emailed and asked why the title was like that in light of the discussion at https://news.ycombinator.com/item?id=21617016 , so I've reverted to the article's title. Edit: If the article were more a burying the lede…

Any title that gives us a clue why the story is worthy of note. At the moment it's frustrating as you have to click through to find out if you want to click through. (title at the time of my comment was "CUDA Toolkit Release Notes")

As the whiner who whined about this title - the story isn't worthy of note at all, other than someone fishing a supposedly-important detail out of it and putting it in the title. Apple hasn't as much as sold a machine with an Nvidia GPU for many years. This non-editorializing thing is explained in great illustrative detail here:

https://news.ycombinator.com/item?id=21617907

Re: CUDA Toolkit Release Notes

#54

Post by andybak »

pvg wrote: post #53
andybak wrote: post #43

Earlier quoted context omitted.

Any title that gives us a clue why the story is worthy of note. At the moment it's frustrating as you have to click through to find out if you want to click through. (title at the time of my comment was "CUDA Toolkit Release Notes")

As the whiner who whined about this title - the story isn't worthy of note at all, other than someone fishing a supposedly-important detail out of it and putting it in the title. Apple hasn't as much as sold a machine with an Nvidia GPU for many years. This non-editorializing thing is explained in great illustrative detail here: https://news.ycombinator.com/item?id=21617907

1. I didn't know the fact highlighted in the original title 2. Doesn't this have an impact on eGPUs, Hackintoshes and other customizations?

It basically means heavy GPU-based work is pretty much a Linux/Windows only thing now. Huge problem as machine learning starts to become an interest topic for people in the art and design community.

Re: CUDA Toolkit Release Notes

#55

Post by mciancia »

amelius wrote: post #52
bitL wrote: post #15

Earlier quoted context omitted.

NVidia didn't want to pay for failing NVidia chips in MacBooks when they had problems with their manufacturing over half a decade ago and since then Apple tries everything to make NVidia's and its customers' life difficult.

Weren't these chips failing because of bad thermal design of the enclosure?

They were failing in any computer with that chip (Nvidia 8600m), whether it was MacBook, Thinkpad or some Dell.

Re: CUDA Toolkit Release Notes

#56

Post by pvg »

andybak wrote: post #54
pvg wrote: post #53

Earlier quoted context omitted.

As the whiner who whined about this title - the story isn't worthy of note at all, other than someone fishing a supposedly-important detail out of it and putting it in the title. Apple hasn't as much as sold a machine with an Nvidia GPU for many years. This non-editorializing thing is explained in great illustrative detail here: https://news.ycombinator.com/item?id=21617907

1. I didn't know the fact highlighted in the original title 2. Doesn't this have an impact on eGPUs, Hackintoshes and other customizations? It basically means heavy GPU-based work is pretty much a Linux/Windows only thing now. Huge problem as machine learning starts to become an interest topic for people in the art and design community.

For 1., again, the standard isn't 'someone might not have known a detail in the story', it's 'does the title represent the story'. If that particular detail is worthy of highlighting, it's easy to find (or even write!) a story about that or point it out in a comment. For 2., that's been the unfortunate case for ages but more importantly, see 1.

Re: CUDA Toolkit Release Notes

#57

Post by PeterisP »

nevi-me wrote: post #25
suyash wrote: post #22

We need a CUDA alternative for non NVIDIA gpu's, specially on a Mac.

Would this from AMD count? https://rocm.github.io/

It's not supported on Mac, and even on Linux seems to have weird limitations on specific kernel versions.

It also supports just a subset of AMD chips, which doesn't seem to include the actual AMD chips of the different Macs that I have available.

ROCm would count if it's mature enough so that the setup "just works" on any reasonable environment (in the way that it mostly is so for the major ML platforms on nvidia/CUDA) but it does not yet seem ready for that.

Re: CUDA Toolkit Release Notes

#58

Post by salicideblock »

ActorNightly wrote: post #30
alphagrep12345 wrote: post #11

Why doesn't apple support NVIDIA though? Considering the whole ML and AI community use only NVIDIA GPUs, it sucks that we can't use apple laptops for the same.

Why would you do anything compute intensive on laptops that suffer from cooling issues?

Maybe you want to functionally validate your task in the SW environment that you can take with you.

Re: CUDA Toolkit Release Notes

#59

Post by ComodoHacker »

solidasparagus wrote: post #47
bayindirh wrote: post #35

Earlier quoted context omitted.

In my understanding, Radeon Instinct cards are not doing that bad. Yes, they're not supported by CUDA, but they're not slouching either.

It's extremely hard to use the standard ML toolchains for GPU on anything that doesn't support CUDA.

>standard ML toolchains

So Nvidia has achieved their goal and pushed ATI out of ML market?

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