This content originally appeared on DEV Community and was authored by Neurolov AI
Centralized AI infrastructure has long been dominated by large-scale data centers and proprietary platforms. Neurolov proposes a different model: a decentralized AI studio and compute marketplace, coordinated by its native token, NLOV.
Unlike speculative tokens with little practical function, NLOV is designed as a multi-utility coordination layer that powers compute access, AI tools, contributor rewards, and governance.
The Neurolov Ecosystem
Neurolov provides a browser-native platform where participants can:
- Contribute compute through the NeuroSwarm browser grid.
- Rent GPU capacity for training or inference tasks.
- Access AI tools such as image generation, video synthesis, and 3D modeling.
- Build and deploy autonomous AI agents.
All of these services are integrated with the NLOV token as the common payment and incentive mechanism.
Roles of NLOV
NLOV serves as more than a transactional token. Its technical functions include:
- Compute credits: Used to pay for GPU rentals and AI tools.
- Contributor rewards: Distributed to devices that share compute cycles.
- Staking for priority: Nodes that stake tokens gain higher scheduling priority.
- Governance rights: Token holders can participate in decisions about fees, upgrades, and feature proposals.
- Developer integrations: Builders can use NLOV to fuel their own AI dApps within the ecosystem.
⚠️ Disclaimer: This section explains token design and utility. It is not investment advice.
Why Solana?
Neurolov deployedNLOV as an SPL token on Solana due to the chain’s:
- Low-cost micro-transactions — necessary for compute cycles billed in fractions of a cent.
- High throughput — supporting thousands of tasks per second.
- Fast block finality — enabling near real-time settlement of rewards.
- Cross-chain connectivity — with bridges like Wormhole for future interoperability.
These properties make Solana well-suited for a compute economy that involves millions of small-scale interactions daily.
Example Scenarios
- Developers: Rent GPU compute with NLOV for AI model training at lower cost compared to centralized providers.
- Contributors: Devices connected via browsers provide compute resources and receive tokenized recognition.
- Governance participants: Community members stake NLOV to vote on platform changes.
These examples illustrate NLOV as a coordination tool, not a speculative asset.
Token Design Principles
The design of $NLOV follows three principles:
- Utility-first → Every token transaction corresponds to compute usage, tool access, or governance.
- Circular economy → Contributors earn tokens by providing resources, while users spend them for access, creating a feedback loop.
- Scalable infrastructure → Solana ensures the token can support high-volume, low-latency interactions at network scale.
Broader Context: AI and DePIN
Neurolov fits within the DePIN (Decentralized Physical Infrastructure Network) movement, where real-world resources are coordinated via token incentives. While Helium focused on bandwidth and Filecoin on storage, Neurolov brings GPU compute into this model—an increasingly critical resource in AI development.
Learn More
- Website: [https://neurolov.ai]
- Contributor Dashboard: [https://swarm.neurolov.ai]
- Follow updates: [https://x.com/neurolov]
This content originally appeared on DEV Community and was authored by Neurolov AI
Neurolov AI | Sciencx (2025-09-26T12:30:16+00:00) NLOV on Solana: Utility Token Design for a Decentralized AI Compute Marketplace. Retrieved from https://www.scien.cx/2025/09/26/nlov-on-solana-utility-token-design-for-a-decentralized-ai-compute-marketplace/
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