Technology & AI - zkPyTorch compiles Gemma-3 into zk-friendly proofs of inference [1] - The compilation process involves quantization to circuit optimization [1] - This technology aims to make AI both powerful and trustworthy [1] Scalability & Efficiency - The solution enables efficient and scalable proofs of inference [1]

Key Features of zkPyTorch - zkPyTorch enables verifiable and data-protective AI without compromising performance [1] - Model weights remain local, ensuring they are never exposed or transmitted [2] - Cryptographic proofs guarantee that results are derived from Gemma-3 [2] - zkPyTorch is fully compatible with existing PyTorch workflows [2]

AI has always promised transformation.With Polyhedra zkML + zkPyTorch, we’re making sure it’s transformation we can trust.#zkML #zkPyTorch #SafeAI ...

We’re building the safe AI economy.What does that mean — and how are Polyhedra zkML + zkPyTorch laying its foundations? 🧵 https://t.co/1TFAEbDery ...

We’re excited to share that Polyhedra has joined the @NVIDIA Developer Program.This gives our team access to cutting-edge SDKs, APIs, and performance tools — accelerating our work in zkML, zkPyTorch, and verifiable AI at scale.Another step forward in building the infrastructure for a safer, provable AI future. ...