why aren't all 6 resolved? a statement only gets an assessment when the public
record can support or contradict it. opinions and what-ifs never can, and 1 checkable
ones are still open, waiting for their date. predictions held up or didn't;
assertions are supported or contradicted. on every card:
▮▮▮▮▮ certainty ·
▮▮▮▮▮ debate potential. speakers are clickable
Prediction Open · timeframe Dec 2027
Patel: Google will buy tons of GPUs through 2027 due to TPU limits
“When we look in 26, Google would buy a lot more TPUs, but they can't ramp production fast enough, right? And so they have to buy tons of GPUs. And we go to 27, it applies again, right? Google simply cannot buy enough TPUs, and they have to buy tons of GPUs.”
Opinion
O'Laughlin: TPU v7 is Google's peak TCO advantage over Nvidia
“I think Ironwood a V seven is the peak gap between on Between TCO, between NVIDIA and TPU, right?”
Opinion
O'Laughlin: Google TPU business could be worth $1 trillion
“I've done the math. It could be like, it's like a trillion. It's like a trillion. It's like a trillion or something like that. Assuming it gets like 30% market share or something like that.”
Opinion
Lie: AMD, Trainium, and TPU are all trying to build a better Nvidia Rubin
“AMD, Tranium, in many ways TPU, like all of these in my mind are all trying to build a better Reuben, right? And there's a huge amount of value in that.”
Insight
Jeff Dean: ML chip design requires predicting research workloads 2-6 years out
“As a hardware designer for ML in particular, you're trying to design a chip starting today
And that design might take two years before it even lands in a data center, and then it has to sort of be a reasonable lifetime of the chip to take you three, four, or f…”
Assertion Supported
Frankle: Google TPUs provide much higher bandwidth-to-compute ratios
“TPUs have a very different network bandwidth to compute ratio. They have a lot more bandwidth just objectively and TPUs per chip tend to be a little bit less compute intensive and have a little bit less memory.”