HERNODE is a decentralized inference network powering open-source language models. Run Hermes-grade AI workloads on distributed hardware. Earn rewards. Build the future of intelligence.
Workloads are sharded across node operators globally. Low latency, high throughput, zero single points of failure.
Optimized for Hermes model family — full GGUF/ONNX support with hardware-aware scheduling across GPU and CPU nodes.
Node operators stake $HRND to participate. Higher stake = higher task priority. Slashing ensures honest computation.
Cryptographic verification of compute work. Every inference job is attested on-chain. Fraud proofs protect requesters.
All rewards, payments, and staking settle on Base L2. Sub-cent gas fees. Finality in seconds.
Anyone can register open-source models. Community-governed curation ensures quality. No centralized model gatekeeping.
Deposit tokens to activate your node. Minimum stake scales with hardware tier. Higher stake unlocks priority task routing.
Your node receives inference tasks from the network scheduler. Execute workloads using local GPU/CPU resources and submit proofs.
Verified compute earns $HRND rewards per task. Rewards are proportional to work completed, uptime, and hardware contribution.
Token launch on Base. Initial node operator onboarding. Core inference engine deployment with Hermes model support.
Mainnet node activation. Multi-model registry. Staking contracts. First enterprise inference partnerships.
On-chain compute verification. Fraud proof system. Cross-chain inference requests from Ethereum, Optimism, Arbitrum.
DAO governance activation. Autonomous model fine-tuning pipelines. Agent-to-agent inference marketplace.
Consumer GPU (8GB+ VRAM). Run quantized models for lightweight inference tasks. Perfect for community contributors.
Professional GPU (24GB+ VRAM). Full-precision inference. Priority task routing. Serve enterprise-grade workloads.
Multi-GPU cluster. Run inference + validate proofs. Highest reward tier. Participate in network governance.
Stake without hardware. Curate the model registry. Vote on model quality. Earn curation fees from inference volume.