Comment on NVIDIA CEO Huang urges faster AI development—to make it safer

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drdabbles@lemmy.world ⁨10⁩ ⁨months⁩ ago

I’m assuming you’re a big crypto fan

Swing and a miss.

because that’s about all I could say of ASIC in an HPC type of environment to be good for

Really? Gee, I think switching fabrics might have a thing to tell you. For someone that does this for a living, to not know the extremely common places that ASICs are used is a bit of a shock.

want a CHEAP solution

Yeah, I already covered that in my initial comment, thanks for repeating my idea back to me.

and ASIC is the most short-term

Literally being atabled to the Intel tiles in Sapphire Rapids and beyond. Used in every switch, network card, and millions of other devices. Every accelerator you can list is an ASIC. Shit, I’ve got a Xilinx Alveo 30 in my basement at home. But yeah, because you can get an FPGA instance in AWS, you think you know that ASICs aren’t used. lmao

e-wastey

I’ve got bad news for you about ML as a whole.

inflexible

Sometimes the flexibility of a device’s application isn’t the device itself, but how it’s used. Again, if I can do thousands, tens of thousands, or hundreds of thousands of integer operations in a tenth of the power, and a tenth of the clock cycles, then load those results into a segment of activation functions that can do the same, and all I have to do is move this data with HBM and perhaps add some cheap ARM cores, bridge all of this into a single SoC product, and sell them on the open market, well then I’ve created every single modern ARM product that has ML acceleration. And also nvidia’s latest products.

Woops.

When you get a job in the industry

I’ve been a hardware engineer for longer than you’ve been alive, most likely. I built my first FPGA product in the 90s. I strongly suspect you just found this hammer and don’t actually know what the market as a whole entails, let alone the long LONG history of all of these things.

Do look up ASICs in switching, BTW. You might learn something.

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