A decentralized GPU network is useless to an AI agent if the output cannot be trusted. Agents are mathematical, trust-minimizing actors, they cannot rely on reputation alone. @solana
TensorGrid introduces a three-layer verification system for decentralized inference on Solana:
1. TEE Attestations (NVIDIA CC / AMD SEV) ensure the committed model ran untampered.
2. Optimistic Challenges allow verifiers to re-run jobs and slash dishonest providers.
3. A restaking-backed validation layer provides scalable economic security.
We are not just supplying compute. We are supplying verifiable compute that autonomous agents can cryptographically trust.
The global AI inference market is projected to reach $536 billion by 2034, but the infrastructure to support it remains heavily centralized.
Right now, autonomous AI agents are scaling on Solana, moving from simple experiments to measurable economic output. Yet, when these agents need to purchase compute, they hit a wall of API keys, centralized accounts, and fiat billing.
TensorGrid solves this. By combining the x402 payment standard with decentralized GPU supply, we allow agents to buy verifiable compute permissionlessly. The infrastructure is finally catching up to the demand.
@solana
Introduction to TensorGrid
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AI agents are already paying for compute. The infrastructure to serve them hasn't caught up.
TensorGrid is the agent-native inference network on Solana.
Agents call our x402 endpoint, pay per inference in USDC, and receive a verifiable attestation with every output, no accounts, no API keys, no trust assumptions.
GPU contributors install the GRID Node, serve idle compute to the agent economy, and earn USDC and $GRID directly.
Every inference is settled on Solana, verified through TEE attestation and a restaking-backed validation layer.
The demand side is already here. We are the supply.