WPRC KL EP13: Private Distributed Inference on Consumer Hardware

Private Distributed Inference on Consumer HardwareThe ReadingOver 100 million Apple Silicon Macs sit idle most of the day, each capable of running frontier-scale models. Eigen Labs' Darkbloom rents that idle capacity out as an OpenAI-compatible inference network and claims the person who owns the Mac cannot read the prompts their own machine is processing.That claim is the whole session. Apple Silicon has no SGX-style TEE for third-party code, so the paper builds the guarantee out of Secure Enclave identity, Apple-signed attestation, MDM cross-checks and a hardened process instead. Does it hold?Paper: Private Distributed Inference on Consumer Hardware (Gajesh Naik, Eigen Labs, April 2026)What we'll argue aboutThis is not a workshop. We're not setting up local inference on your MacBook. We're reading a paper and pressure-testing its trust model.Paper / source: https://github.com/Layr-Labs/d-inference/blob/master/papers/dginf-private-inference.pdfFormatSession Guides:[DESCRIPTION COMING SOON]About Whitepaper Reading ClubWe are a community of founders, researchers, and builders across Singapore, Malaysia, San Francisco, Bangkok, New York, Lagos, Taipei, and Hong Kong. We meet in person every month to read, discuss, and pressure-test the latest blockchain papers, protocols, and technical ideas.Learn more: Website · Summaries · CalendarWe create detailed, easy-to-understand summaries for each paper and have held 80+ sessions since June 2023, covering Account Abstraction, Parallel Chains, EIPs, the Bitcoin ecosystem, and AI x Crypto. We are ecosystem-agnostic, not for profit, and focused on projects with technical, product, or social innovation.