Cases/0G
0G enables confidential, tamper-proof LLM inference with Phala
Solutions Implemented
TEE-Powered LLM Execution
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.
Secure Communication
RA-TLS establishes encrypted channels between users and TEE nodes, protecting data integrity during AI inference.
Verifiable Results
Each AI output includes an RA report, enabling users to validate its origin from a secure TEE environment.
Node Integration
0G operators register TEE-secured nodes on the platform, linking them to 0G's Agent Provider for decentralized AI services.
End-to-End Confidentiality
User requests are routed through secure proxies to TEE-protected LLMs, ensuring privacy from input to output.
Key Benefits
Tamper-Proof AI Inference
TEEs and RA reports guarantee unaltered LLM request/response data.
Decentralized Trust
Eliminates reliance on centralized AI providers by enabling user-verifiable outputs.
Hardware-Backed Security
Combines Intel TDX and NVIDIA GPU TEEs for isolated, auditable execution environments.
Open-Source Transparency
Reproducible builds allow third-party verification of system integrity.
Scalable Confidentiality
Supports 0G's decentralized AI nodes while maintaining low-latency performance.
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