Christopher Miller
speaker
26 appearances
1 recordings
1 series
first heard Feb 2026
last heard 10 Feb
Christopher Miller’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Feb 2026 with 1.
Appearances
Google was realizing that because it owned YouTube and Google Search and many other applications, had to do many of the same types of calculations.
And that was why Google started devising its own in-house chip design arm.
And that lets them be faster than the more general purpose AI chips that NVIDIA sells, or faster at least for the specific use cases that Google needs them for.
Well, it's really all about speed and power consumption.
The more tailored the chip to a specific use, the more it can be efficient than a general-purpose chip.
But there's another side of that trade-off, which is that the more specific the chip, the fewer the use cases it can be used for, which is why for most of the AI ecosystem, NVIDIA's more general-purpose GPU chips are still the most commonly used.
Well, for Google's TPU and NVIDIA's GPU, they're used for both.
There are other types of specialized AI chips that focus on one or the other, and particularly on inference, because Google's and NVIDIA's ecosystems are especially capable of training.
And I think we're going to see over time more and more specialization.
Just as we use more AI, it will become economically viable to have more specialized hardware for certain types of use cases.
They certainly are.
We already see in the newest PCs and phones specific types of chips that are designed to accelerate the types of AI that are already being deployed on devices like this.
And I think as we use more AI in more types of devices, in cars, for example, in robots and industrial equipment, there will in some cases be specialized chips to accelerate the specific types of AI workloads that are used in those different domains.
Well, we're going to find out over the next couple of years.
Until very recently, Google didn't sell its chips to anyone else.
It developed its chips for its own purposes.
But now that looks like it's beginning to change.
But of course, NVIDIA's got an extraordinary market position right now.
And so it'll be quite the competition to watch the two of them compete for AI market share.
There are a number of dynamics that encourage that concentration.
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