Confidential Computing

Running models and inference inside hardware-backed trusted execution environments so an untrusted host or peer node cannot read the weights or the data it processes.

grounded in: trend theme 'Distributed / decentralized AI compute: running LLMs across meshed peer nodes' (Mesh LLM) — untrusted peers hosting a model require hardware enclaves to protect weights/data, an establish

Connected concepts

Verifiable inference, Model extraction / weight theft, Distributed inference, Decentralized mesh inference, Agent sandboxing