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A company moving away from Nvidia/CUDA while the field is developing so rapidly would result in that company falling behind. When (if) the rate of progress in the AI space slows, then perhaps the big players will have the breathing room to consider rethinking foundational components of their infrastructure. But even at that point, their massive investment in Nvidia will likely render this impractical. Nvidia decisively won the AI hardware lottery, and that's why it's worth trillions.


People said the same thing when tensorflow was all the rage and pytorch was a side project.

Granted, HW is much harder than SW, but I would not discount Meta's ability to displace NVIDIA entirely.


I don't think they could; nvidia has tons of talent, Meta would have to steal that. Meta doesn't do anything in either consumer or datacenter hardware that isn't for themselves either.

Meta is a services company, their hardware is secondary and for their own usage.


meta has the Quest. It's not so bad that they're looking to create an LPU for their headset to offer local play.


I'm more concerned to avoid nvidia (et al.) market domination, than chasing the top-edge of the genAI benefits sigmoid. This will prevent much broad-based innovation.


This space is so compeitive, even if Nvidia is asleep at the wheel a competitor will come and push them before too long. AMD has a history of noticing when their competitors are going soft and rapidly being compeitive.




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