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141 points zdw | 1 comments | | HN request time: 0s | source
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andrewstuart ◴[] No.45665124[source]
Despite this APU being deeply interesting to people who want to do local AI, anecdotally I hear that it’s hard to get models to run on it.

Why would AMD not have focused everything it possibly has on demonstrating and documenting and fixing and showing and smoothing the path for AI on their systems?

Why does AMD come across as so generally clueless when it comes to giving developers what they want, compared to Nvidia?

AMD should do whatever it takes to avoid these sort of situations:

https://youtu.be/cF4fx4T3Voc?si=wVmYmWVIya4DQ8Ut

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sidkshatriya ◴[] No.45665215[source]
> Why does AMD come across as so generally clueless when it comes to giving developers what they want, compared to Nvidia?

I have some theories. Firstly, Nvidia was smart enough to have a unified compute GPU architecture across all its architectures -- consumer and commercial. AMD has this awkward split between CDNA and RDNA. So while AMD is scrambling to get CDNA competitive, RDNA is not getting as much attention as it should. I'm pretty sure its ROCm stack has all kinds of hacks trying to get things working across consumer Radeon devices (which internally are probably not well suited/tuned for compute anyways). AMD is hamstrung by its consumer hardware for now in the AI space.

Secondly, AMD is trying to be "compatible" to Nvidia (via HIP). Sadly this is the same thing that AMD did with Intel in the past. Being compatible is really a bad idea when the market leader (Nvidia) is not interested in standardising and actively pursues optimisations and extensions. AMD will always play catch up.

TL;DR AMD made some bad bets on what the hardware would look like in the future and never thought software was critical like nvidia.

AMD now realizes that software is critical and what future hardware should look like. However it is difficult to catch up with Nvidia, the most valuable company in the world with almost limitless resources to invest in further improving its hardware and software. Even while AMD improves, it will continue to look bad in comparison to Nvidia as state of art keeps getting pushed forward.

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1. alessandru ◴[] No.45673805[source]
radeon historically gimped the double precision less badly than nvidia, one might say radeons were more suited for scientific compute. actual scientific compute that cares about numbers and precision.

idk about bad bets, they were just slow to release rdna for desktop when they had it already for consoles. there wasn't conflict between cdna and rdna, cdna was product for their data center. they slow-walked rdna chips because they were busy selling them to consoles. and they never invested in software like nvidia did. they wanted outside people to make openCL work when nvidia was directly investing.

these kind of amateur takes are like a poor distillation of whatever you read in the hardware news. sorda muddying the waters a bit with your confusion.