@huyetkysi
Full model proving is the death of zkML in production the cost and latency are just too much.
@inference_labs
gets this: modularity wins, distribution wins and their DSperse + JSTprove combo delivers both.
2026 ZK Infrastructure Report data shows full model proving slows systems by 700% useless for real time apps like fraud detection. Inference breaks proofs into modules with JSTprove, then distributes verification via DSperse, cutting latency by 89% while keeping cryptographic certainty intact.
This isn’t just a tweak. It’s the difference between zkML as a lab project and as production ready infrastructure. It scales from financial AI to industrial robots, making verifiable AI accessible where it matters most.
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