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How Jensen Huang's Nvidia is powering the A.I. revolution

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Re: How Jensen Huang's Nvidia is powering the A.I. revolution

#6
post #5

Did Nvidia power it or are they stifling it behind its monopoly. Tricky question to answer.

They’re powering it.

they have the best hardware for it. Their vendor lock in is just CUDA, but that’s not really much lock in.

You can train models on AMD cards too, but why would you when nvidia cards are just better for it atm.

Re: How Jensen Huang's Nvidia is powering the A.I. revolution

#7
I'm an Nvidia fanboy, but the lack of competition they have right now is concerning. Without competition, the prices of computing will stop going down, which means only big players would be able to play. It means that most of the economy will be cut off from most of the benefits of AI[^1].

[^1] That could be a good thing if our AIs are destined to replace us...it means it will take longer, because the AIs will have to pay very high taxes to NVIDIA[^2].

[^2] Or to the AIs in control of NVIDIA.

Re: How Jensen Huang's Nvidia is powering the A.I. revolution

#8
post #7

I'm an Nvidia fanboy, but the lack of competition they have right now is concerning. Without competition, the prices of computing will stop going down, which means only big players would be able to play. It means that most of the economy will be cut off from most of the benefits of AI[^1]. [^1] That could be a good thing if our AIs are destined to replace us...it means it will take longer, because the AIs will have t…

There are competitions in the AI accelerator field. Google's TPU in addition to Intel Arc and AMD GPUs. The latter two have incomplete pytorch and JAX support.

Re: How Jensen Huang's Nvidia is powering the A.I. revolution

#9
post #5

Did Nvidia power it or are they stifling it behind its monopoly. Tricky question to answer.

Nvidia doesn't have a monopoly here. Google have their TPU, AMD have MI300, Intel have Data Centre GPU Max, and then there are start ups like Graphcore. There are many alternatives. I think people choose Nvidia because it's easier for them to use. That's because everyone else uses them, and that's because for years and years their competitors (other than Google perhaps) have dropped the ball on good software.

Re: How Jensen Huang's Nvidia is powering the A.I. revolution

#10
post #8
post #7

I'm an Nvidia fanboy, but the lack of competition they have right now is concerning. Without competition, the prices of computing will stop going down, which means only big players would be able to play. It means that most of the economy will be cut off from most of the benefits of AI[^1]. [^1] That could be a good thing if our AIs are destined to replace us...it means it will take longer, because the AIs will have t…

There are competitions in the AI accelerator field. Google's TPU in addition to Intel Arc and AMD GPUs. The latter two have incomplete pytorch and JAX support.

Yes but those aren't whole ecosystems of hardware and software like what Nvidia has
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