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THE COMPANY SAYING EARLY TESTING SHOWS A
SUBSTANTIAL IMPROVEMENT IN PERFORMANCE PER

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WATT, WITH GIGAWATT SCALE
DEPLOYMENT TARGETED TO BEGIN

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LATER THIS YEAR. JOINING US NOW IN A CNBC
EXCLUSIVE, OUR OPENING EYES PRESIDENT AND

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CO-FOUNDER GREG BROCKMAN
AND BROADCOM CEO HOCK E. TAN.

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GENTLEMEN, THANKS TO YOU BOTH
FOR BEING HERE. GREG, LET ME

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JUST START WITH YOU.
WE SPOKE TO YOU LAST OCTOBER WHEN YOU

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AND BROADCOM UNVEILED THIS EFFORT. AND I'M
I'M SORT OF CURIOUS. YOU KNOW AT THE TIME

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YOU SAID THAT THE GOAL WAS TO
DECREASE THE COST OF EACH TOKEN

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AT A FIXED LEVEL OF

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INTELLIGENCE. DOES THIS DO THAT.

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AND IF IT DOES IT IS IT

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SUBSTANTIALLY BETTER
OR IS IT MORE INCREMENTAL.

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>> FIRST OF ALL THANK YOU FOR HAVING ME.
IT ABSOLUTELY DOES THAT. THIS IS A REAL

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PERFORMANCE IMPROVEMENT
ON PERFORMANCE PER WATT IN TERMS

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OF PERFORMANCE PER DOLLAR.
AND SO FOR A FIXED AMOUNT OF

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INTELLIGENCE FOR A FIXED MODEL,
IT IS SO MUCH MORE PERFORMANT.

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BUT ALSO IT MEANS WE'RE GOING
TO BE ABLE TO SERVE JUST MUCH

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MORE INTELLIGENT MODELS
MUCH MORE BROADLY AT SCALE.

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>> AND WHEN YOU SAY SUBSTANTIALLY BETTER,
WHEN YOU TALK ABOUT PERFORMANCE PER WATT,

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YOU AREN'T GIVING US NUMBERS YET.
AND I'M CURIOUS, YOU KNOW,

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ARE WE GOING TO GET THEM IN TERMS OF
TECHNICAL BENCHMARK REPORTS AND THE LIKE?

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>> ABSOLUTELY. YEAH.
WE'LL HAVE A DETAILED TECHNICAL REPORT

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OVER THE NEXT COUPLE OF MONTHS.

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I'VE SEEN THE INITIAL NUMBERS
FROM OUR TEAM. THEY'RE LOOKING

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VERY, VERY STRONG. SO WE'RE
GOING TO BE VERY EXCITED TO

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SHOW ALL THE DETAILS TO THE WORLD.

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>> ALL RIGHT. I ASSUME YOU
HEARD OUR LAST GUEST SAYING,

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WELL, THEY'RE NOT GOING TO BE
GOOD ENOUGH TO MEET WHAT WE'RE

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DOING AT CEREBRAS. DO YOU DISAGREE?

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>> LOOK, I THINK THAT THE
MARKET IS VERY BIG, THAT THIS

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IS A CHIP THAT IS DESIGNED FOR LM
INFERENCE FROM THE GROUND UP.

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WE REALLY WENT FROM SCRATCH
AND HAD AN AMAZING TEAM WORKING ON

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THIS, ACTUALLY DESIGNED WITH OUR MODEL.
SO WE WERE ABLE TO

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DESIGN THE WHOLE THING FROM END
TO END TO TAPE OUT IN NINE

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MONTHS, WHICH IS REAL, JUST LIKE BLAZING
FAST FOR THIS INDUSTRY. AND IT'S REALLY

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TARGETED AROUND OUR KNOWLEDGE
OF LM INFERENCE, WHERE THE

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WORKLOADS ARE, WHERE THEY'RE
GOING, NOT JUST OUR MODELS, BUT

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THE WHOLE INDUSTRY.
AND SO IT'S SOMETHING THAT'S UNIQUE AND

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DIFFERENT AND REALLY CARVES OUT ITS
OWN NICHE THAT DOESN'T EXIST RIGHT NOW.

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>> YEAH. I WANTED TO COME
TO YOU TO THAT ON THE NINE MONTH,

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YOU KNOW, DESIGN TO TAPE OUT.
IT WAS AN AGGRESSIVE SCHEDULE.

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HAS IT CHANGED THE WAY YOU DO
THINGS AT ALL AT BROADCOM? DOES

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IT BECOME THE NEW NORMAL FOR

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SORT OF CUSTOM AI SILICON.

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>> IT IS FIRST OF ALL THANKS
AGAIN FOR HAVING ME. APPRECIATE

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SEEING YOU AGAIN DAVID. BUT ALWAYS.

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>> LIKE TO SEE YOU AS WELL. THANK YOU.

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>> WELL IT'S A GREAT
OPPORTUNITY BECAUSE THIS IS A

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KEY MILESTONE FOR US. BUT

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ANSWERING YOUR QUESTION, IT HAS

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ALWAYS BEEN OUR ASPIRATION TO

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DO THAT. WHAT WE HAVE HERE AND

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IN A BROADER CONTEXT, IT'S IT

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VALIDATES VERY WELL THE

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BUSINESS MODEL WE PUT IN PLACE,

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WHICH IS SIMPLY THAT EVERY

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MODEL MAKER, MLM, FRONTIER

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MODEL, DEVELOPER, WORLD

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EVENTUALLY GO TOWARDS BUILDING,

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DESIGNING, BUILDING THEIR OWN
SILICON COMPUTE CAPACITY,

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COMPUTE DEVELOPMENT, SIMPLY
BECAUSE THEY CAN DO IT MUCH

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BETTER. AND HERE WHAT WE HAVE

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IS WORLD CLASS, LEADING EDGE
FRONTIER MODEL DEVELOPMENT TO

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COMBINE WITH A TEAM, ONE OF THE

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BEST TEAM IN THE WORLD, IN THE

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WORLD OUT THERE TO CREATE AI

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CHIP DESIGN, WORKING WITH US

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AND WITH ALL THIS IP SILICON

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TECHNOLOGY. AND WHAT YOU GET IS

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A IS AN AI ACCELERATOR, THE

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JALAPENO, WHICH IS BUILT

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GUIDANCE ON THE FUNDAMENTALS OF

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OPEN AI. LLM IT'S BUILT ON

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CHATGPT AND IT'S THE FULL STACK

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FROM THE MODEL ALL THE WAY DOWN
HARDWARE AND SOFTWARE TO THE

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BASIC TRANSISTOR. WHEN YOU HAVE THAT KIND