AI models run in NVIDIA GPU-backed TEEs (H100/H200) via https://docs.phala.network/overview/phala-network/gpu-tee, isolating computations and generating Remote Attestation (RA) reports.
RA-TLS establishes encrypted channels between users and TEE nodes, protecting data integrity during AI inference.
Each AI output includes an RA report, enabling users to validate its origin from a secure TEE environment.
0G operators register TEE-secured nodes on the platform, linking them to 0G's Agent Provider for decentralized AI services.
User requests are routed through secure proxies to TEE-protected LLMs, ensuring privacy from input to output.
TEEs and RA reports guarantee unaltered LLM request/response data.
Eliminates reliance on centralized AI providers by enabling user-verifiable outputs.
Combines Intel TDX and NVIDIA GPU TEEs for isolated, auditable execution environments.
Reproducible builds allow third-party verification of system integrity.
Supports 0G's decentralized AI nodes while maintaining low-latency performance.
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