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It's 1. It means that a developer can use their relatively low-powered Apple device (with UMA) to develop for deployment on nvidia's relatively high-powered sy
by quitit 1y ago
It's 1.
It means that a developer can use their relatively low-powered Apple device (with UMA) to develop for deployment on nvidia's relatively high-powered systems.
That's nice to have for a range of reasons.
- _zoltan_ 1y ago"relatively high powered"? there's nothing faster out there.
- chvid 1y agoRelative to what you can get in the cloud or on a desktop machine.
- MangoToupe 1y agoIs this true per watt?
- spookie 1y agoIt doesn't matter for a lot of applications. But fair, for a big part of them it is either essential or a nice to have. But completely off the point if we are waging fastest compute no matter what.
- johnboiles 1y ago...fastest compute no matter watt
- sgt101 1y agoI wonder what Apple would have to do to make metal + its processors run faster than nVidia? I guess that it's all about the interconnects really.
- summarity 1y agoRight now, for LLMs, the only limiting factor on Apple Silicon is memory bandwidth. There hasn’t been progress on this since the original M1 Ultra. And since abandoning UltraFusion, we won’t see progress here anytime soon either.
- szundi 1y ago[dead]
- glhaynes 1y agoHave they abandoned UltraFusion? Last I’d heard, they’d just said something like “not all generations will get an Ultra chip” around the time the M4 showed up (the first M chip lacking an Ultra variation), which makes me think the M5 or M6 is fairly likely to get an Ultra.
- librasteve 1y agothis is like saying the only limiting factor on computers is the von neumann bottleneck
- quitit 1y agoRelative to the apple hardware, the nvidia is high powered. I appreciate that English is your second language after your Hungarian mother-tongue. My comment reflects upon the low and high powered compute of the apple vs. nvidia hardware.
- chvid 1y agoIf Apple cannot do their own implementation of CUDA due to copyright second best is this; getting developers to build for LMX (which is on their laptops) and still get NVIDIA hardware support. Apple should do a similar thing for AMD.
- deleted 1y ago[deleted]
- xd1936 1y agoI thought that the US Supreme Court decision in Google v. Oracle and the Java reimplementation provided enough case precedent to allow companies to re-implement something like CUDA APIs? https://www.theverge.com/2021/4/5/22367851/google-oracle-supreme-court-ruling-java-android-api https://www.theverge.com/2021/4/5/22367851/google-oracle-sup... https://en.wikipedia.org/wiki/Google_LLC_v._Oracle_America,_Inc https://en.wikipedia.org/wiki/Google_LLC_v._Oracle_America,_....
- timhigins 1y agoExactly and see also ROCM/HIP which is AMD’s reimplementation of CUDA for their gpus.
- pjmlp 1y agoReimplementation of CUDA C++, not CUDA. CUDA is a set of four compilers, namely C, C++, Fortran and Python JIT DSLs, a bytecode and two compiler backend libraries, a set of compute libraries collection for the languages listed above, plugins for Eclipse and Visual Studio, a GPU graphical debugger and profiler.
- qalmakka 1y agoThere's ZLUDA for AMD that actually implements CUDA, but it's still quite immature yet
- deleted 1y ago[deleted]
- randomNumber7 1y agoWhat is the performance penalty compared to a program in native CUDA?
- karmakaze 1y agoIt would be great for Apple if enough developers took this path and Apple could later release datacenter GPUs that support MLX without CUDA.
- nightski 1y agoIt's the other way around. If Apple released data center GPUs then developers might take that path. Apple has shown time and again they don't care for developers, so it's on them.