( ESNUG 588 Item 3 ) ---------------------------------------------- [09/12/19]
Subject: Mo Faisal on analog IP inside $50 billion worth of AI/ML chips
DAC'19 Troublemakers Panel in Las Vegas, NV
Cooley: Mo, all this talk about machine learning. Why are you doing
analog stuff? That's dull.
Mo: Ouch, dull? That kind of hurts, John. (laughter)
As Joe Sawicki said, there are two sides to this. There's
machine learning and AI on the EDA side, and then there
are the actual ML chips that we're designing.
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ML/AL start-up
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VC funding
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Graphcore
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$312 million
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UK
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Unisound
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$301 million
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China
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SambaNova
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$206 million
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U.S.
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Wave Computing
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$203 million
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Cambricon
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$200 million
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China
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Cerebras
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$112 million
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AtScale
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$95 million
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ThinCI
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$85 million
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Mythic
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$85 million
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Habana Labs
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$75 million
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Israel
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ThinkForce
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$68 million
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China
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Groq
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$52 million
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Syntiant
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$30 million
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Hailo
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$21 million
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Israel
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Gryfalcon
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$8 million
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Cornami
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$6.5 million
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Bigstream
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$5.5 million
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AlphaICs
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$2.4 million
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India
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I've seen all kinds of crazy numbers about the market size
and opportunity there. You know, one of the most recent
one I saw was that the AI chip market is going to be close
to $50 billion within the next 5 years; that's a huge
opportunity for everybody in this room.
I'm really excited about it. As a matter of fact, [Movellus]
actually has customers in the AI chip space, so we are in it.
And when you actually look at the AI chips, there's two ends
to the spectrum.
First are the edge AI chips. These are very close to the data
collection or the sensor device. And the goal of that chip is
just minimize the amount of data that needs to be shipped to
the cloud. So, power and size are really important.
And we are the only game in town that can actually squeeze every
ounce of power savings out of these analog blocks which are
digitally generated.
We've even delivered sub-microwatt PLL to one of our IoT
customers. That's the kind of level of efficiency we can
deliver.
At the opposite end of the spectrum are the big honking high
performance workhorse AI chips, which are all hundreds of
thousands of cores. And by the way, I think some of them are
using RISC-V cores, which is really good for Naveed. So, so
we are very much part of this AI revolution -- just on the
chip side.
Cooley: But you're saying farmers are part of the AI revolution because
they feed all the engineers making the AI Chips. [laughter]
Mo: Well, actually, that's a good question. But what's happening
with AI, especially at the edge, is there is a lot of process
customization happening as well.
For example, when an AI company wants to do an AI algorithm at
the edge, your traditional digital algorithms don't work anymore
...they're very very inefficient.
So, people are exploring memory-based architectures, analog
compute, add-and-subtract charge instead of binary bits and
numbers.
What happens there is all of a sudden, these chips, which are
going to be everywhere -- part of the 50 billion market -- are
going to be analog heavy. They could be as much as 60% analog.
Cooley: Right.
Mo: Well guess what? Somebody's has to figure out how to make
analog a bit more efficient. And that's us [Movellus].
Movellus beats True Circuits PLL/DLL IPs as #9 "Best of 2018"
Cooley: Good farmer feeding the people. Good.
Mo: Exactly.
Cooley: Okay.
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Related Articles:
Joe Sawicki on ML, Calibre, Solido, VC funding, and heuristics
Anirudh on each Machine Learning engineer is worth $10 million
Mo Faisal on analog IP inside $50 billion worth of AI/ML chips
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