Data:
{
"text": ">AFAIK their bread and butter is the software/drivers allowing the chip to do it's magic and there are rumors of people working on allowing it to run on other GPUs. It's only a matter of time before a competitor releases something for a fraction of the price.\n\nIn the AI datacenter space, their bread and butter is CUDA, which is a combination of both hardware and software, and is proprietary to nVidia. Most important AI software projects right now have a ton of performance-critical code that's written specifically for CUDA, and not a lot of people want to spend the money and effort to re-write a whole fuckton of difficult code so that they maybe save a few bucks on infrastructure (from AMD or someone else) in the short term.\n\nAn alternative approach would be to write some sort of translator from CUDA to the equivalent on another platform, but depending on the approach, this could mean a big performance penalty (not acceptable in the AI space which is extremely performance-sensitive), or just a bit hacky, which means anyone serious like OpenAI, or top tech companies wouldn't do because the risk/jank isn't worth the cost savings.",
"label": "r/wallstreetbets",
"dataType": "comment",
"communityName": "r/wallstreetbets",
"datetime": "2024-05-22",
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