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33 lines
1.9 KiB
TeX
33 lines
1.9 KiB
TeX
\section{Introduction}
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\subsection{Motivation}
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The rise of decentralized AI computation introduces a fundamental challenge: how to verify that computations executed on remote hardware are trustworthy and tamper-resistant. Traditional cloud computing relies on trust in centralized providers, but decentralized networks require cryptographic proof that code executed inside specific hardware enclaves.
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Trusted Execution Environments (TEEs) provide hardware-based isolation and attestation, but existing blockchain systems lack a unified attestation layer capable of:
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\begin{itemize}
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\item \textbf{Multi-vendor support}: Verifying attestations from Intel SGX, AMD SEV-SNP, NVIDIA H100 CC, and ARM CCA simultaneously
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\item \textbf{Compute class diversity}: Supporting CPU-only, GPU-accelerated, and hybrid CPU+GPU workloads
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\item \textbf{Single source of truth}: Providing a network-wide attestation registry accessible to all appchains
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\item \textbf{Economic separation}: Distinguishing security tokens (LUX) from application tokens (AI, ZOO)
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\item \textbf{Performance at scale}: Sub-100ms verification for real-time AI inference workloads
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\end{itemize}
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A-Chain addresses these challenges by providing a dedicated blockchain layer for attestation verification, serving as the foundation for trustless AI compute across the Lux Network.
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\subsection{Key Contributions}
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This paper makes the following contributions:
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\begin{enumerate}
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\item A unified attestation protocol supporting all major TEE vendors and compute classes
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\item Gas-efficient on-chain verification using EVM precompiles at address 0xAAA
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\item Global attestation registry accessible to all Lux appchains
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\item Economic model separating security budget (LUX) from application incentives (AI, ZOO)
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\item Performance benchmarks showing sub-100ms attestation verification
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\item Integration architecture for AI orchestration layers (Hanzo.Network, Zoo.Network)
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\end{enumerate}
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