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Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

blogs.nvidia.com

231–240 of 347 posts

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#231
post #121

Earlier quoted context omitted.

> AMD could release a 2x powerful GPGPU tomorrow for half the price and most current NVIDIA users wouldn't care because what good is that if you can't program it?. Correction: Nobody will be able to use the AMD hardware (outside of computer graphics) because everybody has been locked-in with CUDA on Nvidia. They can not even change even if they want to: it is pure madness to reprogram an entire GPGPU software stack e…

> Nobody will be able to use the AMD hardware (outside of computer graphics) because everybody has been locked-in with CUDA on Nvidia. But numpy can be ported. So can pytorch. I don't think the lock-in is that big of an issue. GPUs do only simple things, but do them fast.

Part of Nvidia's advantage comes from building the hardware and software side by side. No one was seriously tackling GPGPU until Nvidia created Cuda, and if you look at the rest of the graphics stack Nvidia is the one driving the big innovations.

GPUs are sufficiently specialized in both interface and problem domain that GPU enhanced software is unlikely to appear without a large vendor driving development, and it would be tough for that vendor to fund application development if there is no lock in on the chips.

which leads to the real question. What business model would enable GPU/AI software development without hardware lock-in? Game development has found a viable business by charging game publishers.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#232
post #121

Earlier quoted context omitted.

> AMD could release a 2x powerful GPGPU tomorrow for half the price and most current NVIDIA users wouldn't care because what good is that if you can't program it?. Correction: Nobody will be able to use the AMD hardware (outside of computer graphics) because everybody has been locked-in with CUDA on Nvidia. They can not even change even if they want to: it is pure madness to reprogram an entire GPGPU software stack e…

> Nobody will be able to use the AMD hardware (outside of computer graphics) because everybody has been locked-in with CUDA on Nvidia. But numpy can be ported. So can pytorch. I don't think the lock-in is that big of an issue. GPUs do only simple things, but do them fast.

[deleted]

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#233
post #18

Earlier quoted context omitted.

I don't like that people downvoted you for asking a question. If someone thinks the question is stupid or not doesn't mean that a downvote is warranted. (nor an upvote, answer the question and move on.) To answer though; it's just a coincidence, as you might already know Nvidia uses famous scientists (especially in the field of electricity) as the names of their microarchitectures. * Volta (Alessandro Volta, inventor…

And even before that there was: * GeForce (for Andrea Geforce, the first to use the color electric green) * Riva (for Jose Riva, the discoverer that you can use TNT to generate electricity.)

Wow Riva, that brand name brings back memories. Almost as magical as 3dfx and Voodoo. (which NVIDIA ultimately acquired). Truly game changing hardware.

Thanks Scott, Gary and Ross (founders of 3Dfx) you cards gave me and my friends thousands of hours of enjoyment.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#234
post #67

Earlier quoted context omitted.

Same name, but Ampere the company probably came first (2017). They're both named after the famous mathematician and physicist. https://en.wikipedia.org/wiki/Andr%C3%A9-Marie_Amp%C3%A8re

Ampere has been on NVidia's roadmap for the better part of a decade.

> Ampere has been on NVidia's roadmap for the better part of a decade.

Not publicly, at least, since rumors of the "Ampere" naming surfaced around late 2017. https://www.kitguru.net/components/graphic-cards/matthew-wil...

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#235
post #33

In my experience, Jensen Huang's keynotes are unprofessional in the best possible way. I remember thinking during an entire GTC presentation "Wait, this guy is the CEO?" He seemed like an excited engineer who happened to stumble onto stage.

I thought he was nerdy business man trying to be cool and it was / is cringy, but years ago I saw him talking with TSMC founder on computer history museum and since I think highly of the guy and really appreciate him. There's a dose of genuineness behind him and you can tell.

I think that's as accurate of a description as I can imagine.

Most CEOs are nerdy business men trying to be cool. Jensen comes across more like a cool nerd trying to be business-y.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#236
post #121

Earlier quoted context omitted.

> They make good hardware, but there's a lot of lock-in, and not a lot of transparency. This sounds like you'd like NVIDIA to open-source all their software. I see this type of request a lot, but I don't see it happening. NVIDIA's main competitive advantage over AMD and Intel is its software stack. AMD could release a 2x powerful GPGPU tomorrow for half the price and most current NVIDIA users wouldn't care because wh…

> AMD could release a 2x powerful GPGPU tomorrow for half the price and most current NVIDIA users wouldn't care because what good is that if you can't program it?. Correction: Nobody will be able to use the AMD hardware (outside of computer graphics) because everybody has been locked-in with CUDA on Nvidia. They can not even change even if they want to: it is pure madness to reprogram an entire GPGPU software stack e…

Amd doesn't even have software for GPGPU on some of their cards. I have an rx5700xt and I cant use it for anything but gaming because ROCm doesn't support navi cards, a whole year after its release.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#237
post #31
post #25

Earlier quoted context omitted.

The large majority of researchers and business getting into NVidia products doesn't seem to find it that relevant, rather what tools, GPU programming languages and hardware they are able to put their hands on.

It's irrelevant to researchers. Research operates on rapid cycles: prototype, publish, move on. It does impact businesses. It doesn't prevent adoption for e.g. deep learning, but I haven't seen e.g. GPU-based databases reach broad adoption, or many other places where MIMD/SIMD would reduce costs or improve performance. Using classical hardware is clearly cheaper than the business risk and engineering time of relying…

> Technically, it makes sense. If I type a list comprehension in Python, it would run at higher speed and lower power on a SIMD or MIMD platform.

That assumes the operations, data types, and data arrangement are such that they are vectorizable. In databases at least this kind of optimization is typically done by hand because there are so many constraints. You can't just turn on a flag in the code and make it happen automatically. [1]

[1] https://www.vldb.org/pvldb/vol11/p2209-kersten.pdf

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#239
post #126

Earlier quoted context omitted.

If someone thinks the question is stupid or not doesn't mean that a downvote is warranted. (nor an upvote, answer the question and move on.) The type of questions being downvoted sometimes makes me question sanity. In general I believe that downvoting is probably one of the most poisonous thing invented in newsgroups.

downvoting is toxic yea, but look at twitter for what happens when its not a thing, its just as bad if not worse in this direction, comments have no almost no coherency and trolls are incredibly rampant. on sites with downvoting like reddit the problem is somewhat less, but the hivemind effect takes root. theres really not many good solutions right now.

How about moderators and the ability to ban? I understand it might not be economically sound.

Re: Nvidia CEO Introduces Nvidia Ampere Architecture, Nvidia A100 GPU

#240
post #231

Earlier quoted context omitted.

> Nobody will be able to use the AMD hardware (outside of computer graphics) because everybody has been locked-in with CUDA on Nvidia. But numpy can be ported. So can pytorch. I don't think the lock-in is that big of an issue. GPUs do only simple things, but do them fast.

Part of Nvidia's advantage comes from building the hardware and software side by side. No one was seriously tackling GPGPU until Nvidia created Cuda, and if you look at the rest of the graphics stack Nvidia is the one driving the big innovations. GPUs are sufficiently specialized in both interface and problem domain that GPU enhanced software is unlikely to appear without a large vendor driving development, and it wo…

Would you agree that that your observations somewhat imply that a competitive free market is not a fit for all governable domains (and don't mistake governable for government there, we're still talking about shepherding of innovation)?
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