A major obstacle in the blockchain field is obtaining complicated processing and data richness while preserving verifiability. Blockchains lack natural support for large-scale parallel processing, especially high-performance AI workloads, but they are tuned for deterministic execution and decentralized consensus.
From March 7–9, student developers and researchers from UC Berkeley, UWaterloo, and ETH Zurich participated in the Flare x Google Cloud hackathon, organized in partnership with Blockchain at Berkeley, to investigate how blockchains can facilitate AI-driven computation without compromising verifiability.
The participants made use of Google Cloud Confidential Space, a secure enclave that generates cryptographic attestations and offers hardware-enforced confidentiality via the use of Trusted Execution Environments (TEEs). The Flare blockchain allows for the verification of these attestations, guaranteeing that calculations were carried out accurately and without
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