Secure AI Inference with Hardware Attestation

I’ll demonstrate a working prototype of running an open-source LLM inside an AWS Nitro Enclave, showing how to achieve verifiable privacy for AI inference. The live demo will show:
-Real-time hardware attestation of the Nitro Enclave
-A working chat interface connecting to the enclave
-(potentially) Privacy-preserving aggregated analytics using DAP (Distributed Aggregation Protocol), which is a multiparty computation protocol