CPU

“We deeply believe that, that someday everything will be accelerated. And the reason for that is, is very clearly that, that the CPU will run its course. And there's a limit to how far you could scale general purpose computing and you'll always need it. You alw…”

“The fact is the bulk of inferencing done today is done on general purpose CPUs, not the huge LLM inferencing, but, you know, just general inferencing for AI applications.”

“And to me, it was clear that the industry needed That powerful combination of the serial, the scalar competing of these traditional CPU workloads and the massive parallelization that you get from a GPU.”

“Everything maybe besides like the battery cell and the GPU and CPU at this point, it feels like we've done what we're doing.”

“We're going to speed run the last 30 years of CPU efficiency gains. In, in the next, you know, five to 10 in, in GPUs.”

“Right now, the authentic AI and inference, CPU become, you know, highly in demand. And so, you know, versus one to eight in the training CPU to GPU, now I can see one to four, maybe one to one, and I'm delighted CPU become important.”

“So until something's invented that says the CPU has gone away and we're now doing it through some other mechanism, which has yet been defined or invented. The CPU is gonna be doing just fine and there's gonna be a lot of demand for it, a ton of demand, in addi…”