Introduction

1. Abstract

NeuroGrid represents a paradigm shift in decentralized physical infrastructure networks (DePIN), establishing a permissionless, trustless marketplace for high-performance GPU compute resources. The protocol addresses the critical bottleneck in AI development—access to affordable, scalable computational power—by aggregating heterogeneous GPU assets ranging from consumer-grade hardware (e.g., NVIDIA RTX 4090) to enterprise-tier infrastructure (e.g., NVIDIA H100 Tensor Core GPUs) into a unified compute liquidity pool.

The architecture employs a sophisticated dual-token economic model: USDT serves as the settlement currency to ensure pricing stability and minimize friction for enterprise adopters, while the native $NRG utility token functions as the primary mechanism for network incentivization, governance rights, and programmatic value accrual. This separation of concerns enables NeuroGrid to maintain competitive pricing dynamics while capturing protocol revenue through an automated deflationary mechanism.

At the consensus layer, NeuroGrid introduces a novel Proof-of-Inference (PoI) validation framework that cryptographically verifies computational work without requiring centralized attestation. This trustless verification mechanism, combined with an algorithmic Buyback-and-Burn Protocol, creates a direct mathematical relationship between network utilization and token scarcity, establishing a sustainable value flywheel that aligns stakeholder incentives across the entire ecosystem.

_{Note: NeuroGrid Protocol is a distinct Web3 initiative and is not affiliated with the Stanford Neurogrid project.}