Since it's CPU vs GPU, it's not apples-to-apples. But in terms of wall-clock time, one inference pass is surely faster than 17 seconds. Plus there's the proof generation step, which the post describes as ~100x slower than generating the response itself.

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IanCal 3 hours ago | parent [-]

21s on a single core for 1024 tokens, that’s ~50t/s to verify and a 6.5 meg download. I’m pretty sure you won’t hit that for a 400B model at 4 bits, but then maybe you would I don’t track that performance so much. You’d need an enormous amount of ram to handle it though.

Yes, the generation is slower but I think here the verification itself is more efficient than regenerating the output.

	▲	nemo1618 3 hours ago \| parent [-]
		The bigger factor is that (IIUC) ZKP-based verification is constant-time in the size of the output, so it definitely beats regen-based verification (as long as the constant is reasonable). And the ability to verify on consumer hardware instead of a beefy GPU is important too. I think there is a place for both. Deterministic inference has other benefits, like "compressing" an output into input+model, as well as more esoteric applications like solving coordination problems. But if we get fast ZKPs for real frontier models, I'll be overjoyed!