The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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every show 44 of 44
Vahdat: AI footprint will favor many medium data centers over gigawatt hubs
“It'll really come down to geographic locality and probably a medium number of medium-sized data centers. Sorry for the whatever lack of precision there, but medium number of medium-sized data centers augmented with a small number of large data centers.”
Vahdat: AI infrastructure build-out is 100x larger than 1990s internet boom
“The internet in the late nineties, early 2000 was big, and we felt like, oh my gosh, can't believe the Build out the rate. This makes it, I mean, 10 X is an understatement. It's a hundred X what the internet was.”
Vahdat: AI infrastructure deployment bottlenecks will persist for 3 to 5 years
“Like, in other words, literally, you all have some money, you can't spend it all as fast as you want. I think that's going to extend for three, four, five years.”
Vahdat: Interactive AI models will require geographically distributed inference infrastructure
“So as these services become more interactive, as they become more efficient, and that, that is still going to be a journey. We're not there today. You're going to want to have geographic locality. That's also going to impact reliability, because again, you can…”
Vahdat: AI hardware supply will lag behind demand in short term
“So one worry I have is that the supply isn't actually going to catch up to the demand as quickly as we'd all like.”
Vahdat: Google TPUs are 10x to 100x more energy efficient than CPUs
“TPU, I'll use that example again because I know it best for certain computation, is somewhere between 10 and a hundred times more efficient per watt, and it's this watt that really matters than a CPU.”
Vahdat: Bringing a specialized chip to production takes at least 2.5 years
“For the best teams in the world, really from concept to in live in production, the speed of light is two and a half years.”
Vahdat: Gigawatt-scale AI workloads create power fluctuations visible to utilities
“We've written about this power utilities notice when we're doing network communication relative to computation at the scale of 1000 of megawatts. Right, like massive demand for power, stop all of a sudden and do some network communication, and then burst back …”
Vahdat: Google is driving 10x to 100x reductions in AI inference costs
“What I would say though is that maybe something people don't realize is that we're actually driving massive reductions in the cost of inference. I mean, 10 X's and a hundred X's.”
Vahdat: AI agents executing long tasks will be transformative within 12 months
“The agents that get built on top of them, And the frameworks for making that happen are also getting scary good. So the ability to have things go quite right for quite long over the coming 12 months is gonna be transformative.”
Vahdat: Multimodal AI tools will become transformative productivity drivers within 12 months
“I think that what's going to happen in the next 12 months is the same thing is going to be happening with input and output of images and video to these models. And to the extent that even for images, Imagine them as productivity and educational tools, not just…”
Google reached 1 GW in utility demand response agreements by March 2026
“In March, we actually hit a significant milestone in agreements with utilities for a gigawatt of demand response across our fleet.”
Vahdat: Safety-critical physical AI compute will have to run on-device
“Without talking about any specific use case, I believe that a lot of it's going to have to be on device and dedicated to that use case.”
Vahdat: Google's seven- and eight-year-old TPUs maintain 100% utilization
“Our seven and eight year old TPUs have a hundred percent utilization.”
Vahdat: The entire computing stack will be unrecognizable by 2030
“And five years from now, whatever the computing stack is from the hardware to the software, right, it's going to be unrecognizable.”