Episode Transcript
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SPEAKER_00 (00:00):
Welcome back to
Inspire AI, where we explore how
technology is reshaping ourworld and how we future-proof
ourselves for what's ahead.
I'm your host, Jason McGuinthy.
Today, I'd like you to imaginethis.
A hurricane is forming in theAtlantic.
(00:21):
In the past, predicting itsexact path might take days with
the wide margins of error.
But now, thanks tosupercomputers, we can simulate
the storm in real time, runningmillions of scenarios to save
lives, guide evacuations, withpinpoint accuracy.
(00:42):
That's the power ofsupercomputers.
They're not just big machineslocked away in government labs.
They're shaping medicine,climate science, national
security, and yes, artificialintelligence.
In this episode, we'll uncoverwhat supercomputers are, how
they're being used today, thechallenges they face, and most
(01:04):
importantly, why they matter toyou.
So let's get started.
Simply put, what exactly is asupercomputer?
At its core, it's a computerdesigned to perform calculations
at almost unimaginable speed.
While your laptop might handlebillions of operations per
(01:25):
second, supercomputers operateat scale of quadrillions, which
is fifteen zeros.
And the latest frontier calledexascale computing reaches
quatillions of calculationsevery second.
That's eighteen zeros.
But it's not just about rawspeed.
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Supercomputers are built withmassive parallel architectures.
Tens of thousands, sometimesmillions of processors all
working together on the sameproblem.
They require entire facilitiesfor cooling and power,
specialized chips to handlecomplex simulations and AI
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workloads.
Here's a few names to give you asense of their scale and
purpose.
Frontier, based at Oak RidgeNational Lab in the US, it's the
world's first exascale computer.
Then there's Fugaku in Japan.
It became a household nameduring the COVID-19 pandemic.
(02:28):
It simulated how virus dropletsspread in public spaces.
And then there's Summit, also atOak Ridge.
It was critical in virtuallyscreening billions of molecules
in real time.
These examples show what makes acomputer super.
They're not just bigger, fasterlaptops, they're national scale
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scientific instruments, likeparticle accelerators or space
scopes.
And they push the boundaries ofwhat humanity can understand and
achieve.
So what are they actually doing?
Let's take a look at some of themost impactful ways
supercomputers are alreadyshaping our world.
Like I said, climate andscience, right?
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Back in 2010, the Jaguarsupercomputer at Oak Ridge
National Lab ran one of thefirst ultra-detail climate
simulations.
The data produced shaped theUN's climate reports, guiding
governments on policy andplanning.
Fast forward to today, andFrontier can model hurricanes,
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droughts, and sea level risedecades into the future, giving
leaders better tools to preparefor disasters and build climate
resilience.
Then of course there'shealthcare and medicine, where
during the pandemic, Japan'sFugaku supercomputer simulated
how COVID droplets spread incrowded spaces, influencing
(03:58):
global policies on mask wearingand social distancing.
Meanwhile, Oak Ridge's summitcompressed years of drug
discovery work into days byscreening billions of molecules
against the coronavirus,speeding up the search for
treatments.
And then there's Alpha Fold,which used massive computing
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power to predict protein foldingwith astonishing accuracy.
That solved a fifty yearscientific mystery and opened
the door to breakthroughs indrug development and biology.
On the defense side, the Sequoiasupercomputer at Lawrence
Livermore National Lab is usedto maintain the US nuclear
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stockpile without live testing,thankfully, making sure weapons
remain safe and reliable whilestaying within international
treaties.
Supercomputers also test theresilience of cryptographic
systems, protecting bankingnetworks and military
communications worldwide.
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And of course there's AI.
Training large models like GPTrequired clusters of tens of
thousands of GPUs, essentiallydistributed supercomputers
working in parallel for weeks.
Without high performancecomputing, generative AI simply
wouldn't exist.
That's why it's so important.
(05:22):
Now you might be thinking,that's cool for scientists and
governments, but what does thismean for me?
Here's the connection.
Many of the technologies we useevery day started in
supercomputing labs.
Weather apps, autonomous cars,even recommendation engines like
Netflix that suggest your nextmovie.
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They all rely on algorithmsfirst tested at scale using high
performance computing.
And increasingly, supercomputingis moving into the cloud.
Companies like Amazon WebServices, Microsoft Azure, and
Google Cloud now offer on-demandhigh performance resources.
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That means startups,universities, and even small
businesses can access this onceexclusive power.
So in short, supercomputing isbeing democratized.
The ripple effect is fasterinnovation, broader access, and
more industries benefiting frombreakthroughs once reserved for
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elite labs.
And of course, they come withtheir challenges.
As you can imagine, energyconsumption is one of them.
These machines require enormousamounts of power, sometimes
enough to light a small city.
So cooling alone is a massiveengineering challenge.
That's why there's growinginterest in green
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supercomputing, reducing theenvironmental footprint of these
systems.
As you might have guessed it,green supercomputing focuses on
reducing the environmentalimpact of these high performance
computing systems, offeringthings like energy efficiency,
renewable energy sources,advanced cooling technologies.
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And yes, green supercomputing isincreasingly important as the
demand of computational powergrows.
It necessitates a balance ofperformance and environmental
responsibility.
Second is hardware bottlenecks.
We're hitting physical limitswith silicone chips, memory, and
data transfer speeds.
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Each leap forward demandsinnovation in architecture and
materials.
And next there's the loomingquestion of quantum computing.
Will quantum machines eventuallyreplace supercomputers?
Maybe.
But most experts agree we'restill years away, if not
decades.
For now, supercomputers remainthe workhorses of discovery.
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And another milestone isexascale computing.
Machines like Frontier, as Imentioned before, have broken
that barrier.
But the race is on to scale evenfurther.
The lofty goals of artificialgeneral intelligence, artificial
superintelligence, we're gonnaneed even more scale.
Each step in our AI advancementopens new up new possibilities
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from simulating entireecosystems to training even more
advanced AI models.
So think about this and think,why should we care?
Because the breakthroughs madeon supercomputers don't stay in
research labs.
They ripple into the tools andtechnologies that shape our
daily lives.
They're the reason weatherforecasts are more accurate.
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They're the reason new medicinesare developed faster.
And they're the reason AI isadvancing at lightning speed.
For students, this means careeropportunities in computational
science, AI, data intensiveindustries.
For business leaders, it meansaccess to tools that drive
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innovation and competitiveadvantage.
And for all of us, it meansliving in a world where problems
that once seemed unsolvable arenow at our fingertips.
So I want to bring us back downto earth here.
Supercomputers are the silentengines behind some of
humanity's greatestbreakthroughs.
They're complex, powerful, andoften hidden from view, but
(09:26):
their impact touches every partof our lives.
The next time you check out theweather, hear about a medical
discovery, or use AI to write,code, or learn.
Remember this (09:38):
somewhere, a
supercomputer made it possible.
Alright, thanks for joining meon Inspire AI.
I'm Jason McGinthy, remindingyou to stay curious, keep
innovating, and always look forways to future proof your
knowledge.