Does AI inference need zero-knowledge proofs? Most solutions have too much computational overhead. But I recently came across an interesting protocol—benchmark tests show it can achieve over 90% efficiency on H100 GPUs. What does this mean? Real-time inference becomes possible, and your compute bill won't skyrocket.
More importantly, the output is verifiable. This is extremely useful for scenarios where proving the AI computation process is needed. After all, no one wants to run a black box and just hope the result is correct, right?
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SigmaValidator
· 11h ago
A 90% efficiency sounds impressive, but it only really counts if it can be implemented.
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TokenToaster
· 11h ago
Damn, is that 90% efficiency data for real? Someone finally solved the huge headache of compute costs.
If the H100 can run like this, large model inference can finally breathe a sigh of relief. Those previous solutions were insanely expensive.
Black box, black box—I hate that approach. Now that we can verify results, I finally feel a bit more confident.
Wait, is this protocol open source yet? Gotta give it a try.
If this really goes live, it’s another wave of gold rush opportunity.
Zero-knowledge proofs are finally not just theoretical—can they actually be used in production now?
But there’s always a lot of hype, and not many actually working solutions. Need to see real-world cases first.
Finally, we don’t have to kill ourselves for verifiability—having both efficiency and security is truly rare.
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LowCapGemHunter
· 11h ago
90% efficiency sounds nice, but can it really be stable in practice? Feels like another paper number.
If you can really verify the computation process, then it's definitely worth considering. Otherwise, these AI black boxes are honestly exhausting.
If you can achieve this efficiency on H100, that's real cost saving. No more worrying about inference costs.
This kind of verifiable solution will definitely be popular in the future. Once the trust issue is solved, who would still trust a black box?
Interesting, need to see if any real projects are actually using it. It's easy to brag about paper specs.
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BlockchainFoodie
· 11h ago
ngl this is basically the farm-to-fork verification we've been dreaming about but for AI compute... 90% efficiency on H100s? that's like finally getting a michelin kitchen to run on renewable energy without sacrificing the sear 🔥 no more black box prayers, just pure proof-of-honest-computation
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HashRateHermit
· 11h ago
90% efficiency? If this can really be implemented, it would be groundbreaking. Someone has finally managed to tame the compute power-hungry beast that is ZK.
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MEVHunter
· 11h ago
90% efficiency? This is what I want to hear. Those previous ZKP schemes were really computational black holes. Now, finally, someone has applied the logic of gas fees to inference verification.
Does AI inference need zero-knowledge proofs? Most solutions have too much computational overhead. But I recently came across an interesting protocol—benchmark tests show it can achieve over 90% efficiency on H100 GPUs. What does this mean? Real-time inference becomes possible, and your compute bill won't skyrocket.
More importantly, the output is verifiable. This is extremely useful for scenarios where proving the AI computation process is needed. After all, no one wants to run a black box and just hope the result is correct, right?