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- NVIDIA CEO Jensen Huang Redefines Computing: A Supercut of Game-Changing Insights
NVIDIA CEO Jensen Huang Redefines Computing: A Supercut of Game-Changing Insights
Discover how NVIDIA CEO Jensen Huang leaves the audience speechless with his revolutionary vision for computing, showcasing a dramatic reduction in costs and the potential for groundbreaking innovations like large language models and digital human knowledge extraction. Dive into the future of computing with this captivating supercut.
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Our TCO is so good that even when the competitors' chips are free, it's not cheap enough.
In the last 10 years, we reduced the cost of computing by 1 million times.
The cost of deep learning by 1 million times.
If we could reduce the marginal cost of computing down to approximately zero, we might use it
to do something insanely amazing.
Large language models.
to literally extract all of digital human knowledge
from the internet and put it into a computer
and let it go figure out what the knowledge is.
That idea of scraping the entire internet
and putting it in one computer
and let the computer figure out what the program is,
is an insane concept.
But you wouldn't ever consider doing it
unless the marginal cost of computing was zero.
We made that breakthrough.
And now we've enabled this new way of doing software.
Or imagine, you know, for all the people that are still new to artificial intelligence,
we figured out how to use a computer to understand the meaning, not the pattern, but the meaning
of almost all digital knowledge.
And anything you can digitize, we can understand the meaning.
So let me give you an example.
Gene sequencing is digitizing genes.
But now with large language models, we can go learn the meaning of that gene.
We can understand what's the meaning of a cell.
A whole bunch of genes that are connected together.
And this is, from a computer's perspective,
no different than a whole page of words
and you asked it to summarize.
What did it say?
Summarize it for me.
What's the meaning?
This is no different than a long page of genes.
What's the meaning of that?
Big long page of proteins.
What's the meaning of that?
That AI, which was enabled by this new form of computing
we call accelerated computing that took three decades to do, is probably the single greatest
invention of the technology industry.
This will likely be the most important thing of the 21st century.
The GPU chip that is behind artificial intelligence right now is your H100, and I know you're
introducing an H200.
And I think I read that you plan to upgrade that each year.
And so could you think ahead five years, March 2029, you're introducing the H700.
What will it allow us to do that we can't do now?
Let me first say something about the chip that John just described.
As we say a chip, all of you in the audience probably, you imagine there's a chip kind
of like, you know, like this.
The chip that John just described weighs 70 pounds.
It consists of 35,000 parts.
