0G supports signed interactions and several verification approaches, including trusted-execution attestation, optimistic machine learning, and zero-knowledge machine learning. These mechanisms are designed to make supported AI workloads and execution paths independently checkable.
0G Private Computer combines hardware-isolated inference, end-to-end encrypted routing, and zero data retention for supported private endpoints. Attestation can provide evidence that the expected model and execution environment handled a request.
0G Storage commits uploads on-chain as Merkle roots and uses replication and Proof of Random Access to support data integrity and availability. 0G DA separately applies erasure coding and sampled availability proofs.
0G Chain provides EVM-compatible execution and integrates with the wider compute, storage, and data-availability stack for AI applications and agent workflows.
