Good news for Intel and AMD.

Rught now on large scale codebases the bottleneck is both claude/codex inference, as well as time it takes to run tens of thousands of tests. We put those workloads on dedicated epyc 9005 build machines - but it still takes minutes per run. Those who can afford the fast tokens will be in the market for faster CPU that money can buy today.

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zuzululu 5 hours ago | parent [-]

why intel and amd ? these are cerebras wafers?

i know people are joking about the sol ultrafast prices (its unlikely to be accessible for average joes) but this shows scaling wafer cores works for inference boost

which makes me very excited, sol ultrafast will be as slow as it will get if that makes sense. at these token speeds , we will see a much deeper economic impact.

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_diyar 4 hours ago | parent [-]

Right now the bottle neck is not the CPU, so people aren‘t spending big $ on them. But with this ultra fast mode, CPU becomes a bigger part of the bottleneck and thus Intel and AMD can charge more $$$.

	▲	gpt5 3 hours ago \| parent [-]
		I noticed it myself. It's not just that the models are faster, but that by becoming more capable, they can take on larger tasks, which require larger compute.