Emre Yumlu 
Neurolov (NLOV) is a browser-based AI compute marketplace and GPU rental platform that focuses on scalability and cost issues in artificial intelligence and distributed computing. Built on Solana and TON blockchains, Neurolov uses WebGPU technology to allow users to access high-performance computing resources directly through their browser without any software installation.
The platform’s core goal is to create a decentralized, low-cost, and scalable global supercomputer infrastructure by aggregating idle GPU and device power worldwide. This structure enables AI developers and content creators to access affordable computing power while individual users can earn income by sharing the unused capacity of their devices.
What is Neurolov (NLOV) Aiming For?
One of the most important elements distinguishing Neurolov from similar projects is its “browser-based compute platform” approach. Users can include their desktop computers, laptops, tablets, or mobile devices in the network, while those demanding computing can access GPU power without any software or hardware investment.
This structure offers a significant advantage, especially for individual developers, small teams, and startups struggling to enter AI development processes due to high hardware costs. It creates a more flexible and cost-effective alternative compared to traditional cloud providers.
Distributed GPU Network with Neurolov (NLOV)
At the center of the Neurolov protocol is the unification of globally distributed GPUs and devices under a peer-to-peer (P2P) network. This network has a hybrid structure that includes individual devices beyond data centers.
The main computing resources in the network are:
- GPU clusters
- Individual GPUs
- Laptops and desktop computers
- Mobile devices
- Enterprise data centers and bulk GPU providers
These resources serve a wide range of use cases such as artificial intelligence training, inference, content creation, gaming, agent infrastructures, and research.
Dual-Engine System: SWARM and NLOV
The economic and technical structure of Neurolov is shaped around two main components: SWARM and NLOV.
SWARM Engine
SWARM is a gamified resource allocation mechanism that distributes computing tasks within the network. Devices solve tasks, contribute to the network’s operation, and are rewarded based on their performance. This structure aims to increase the network’s sustainability and efficiency.
NLOV Token Mechanism
The $NLOV token forms the economic backbone of the platform. Computing demand, AI model usage, and in-network transactions are performed with NLOV. As usage increases, token burn and staking mechanisms activate, bringing the supply-demand balance to a dynamic structure.
This system aims to establish a direct link between platform usage and token economy.
Federated Learning and Data Privacy
Neurolov adopts a federated learning approach in parallel with its decentralized structure. With this model, data is processed on different devices without being collected in a single central point. Thus:
- User data is protected without leaving the device
- Privacy and data security are increased
- Collaborative model development becomes possible
This structure provides a significant advantage, especially for AI projects working with sensitive data.
Products and Services
GPU Compute
One of Neurolov’s core services is the GPU rental infrastructure. Users can instantly rent the GPU power they need for AI training and inference processes. This model offers high-performance computing without expensive hardware investments.
AI Model Production
Text, image, audio, code, and video production can be done through the platform. This structure, which minimizes technical knowledge requirements, facilitates AI integration for creators and businesses.
Swarm Network
Users who include their devices in the network can earn $NLOV by sharing their idle processing power. This mechanism expands the network’s total computing capacity as the number of participants increases.
AI Agents
Neurolov supports the development of autonomous AI agents for decentralized applications. These agents can be used in Web3 projects for automation, data analysis, and intelligent decision-making processes.
Neurolov (NLOV) Roadmap
Neurolov’s near-term roadmap focuses on the platform’s token economy and governance structure.
Q1 2026 – Token Generation Event and Global Access
- $NLOV Token Generation Event (TGE)
- Activation of the on-chain governance system
- Feature development through community votes
- Listings on centralized and decentralized exchanges
- Creation of liquidity pools
These steps target the platform’s transition to a fully community-focused structure.
Neurolov (NLOV) Tokenomics
$NLOV sits at the center of all transactions and incentive mechanisms in the Neurolov ecosystem. The platform’s active operation aims to shape token demand directly through usage.
Basic Information
- Total Supply: 500,000,000 NLOV
- Ticker: $NLOV
- Blockchain: Solana
Token Distribution (Allocation)
- Seed Investors: 1%
- Pre-Sale Investors: 10%
- IDO: 2%
- Private Investment Round: 17%
- Team and Development: 12%
- Ecosystem and Rewards: 20%
- Community and Marketing: 12%
- Liquidity: 10%
- Foundation Treasury: 8%
- Burn: 8%
This distribution offers a structure that balances both early investors and long-term ecosystem growth.
Neurolov (NLOV) Team
The Neurolov team consists of individuals with deep experience in artificial intelligence, marketing, strategy, and Web3 fields. The project’s vision is not limited to technical infrastructure but aims to build a globally adoptable AI compute network.
Dhruv Panchal – Founder & CEO Panchal, the founder and CEO of Neurolov, has developed AI solutions for global brands and participated in projects reaching over 50,000 people in more than 40 countries. He signed a $13 million AI agreement with the Gujarat Government and is a humanitarian aid and innovation leader recognized by the United Nations.
Jesse Guglielmo – Strategy Head Guglielmo, contributing to the strategy side of the project, served as CMO at Binance Labs-backed Bracket. With over 20 years of marketing experience, Guglielmo has managed GTM processes generating over $50 million in revenue in fintech, consumer technologies, and Web3 fields.
Claire Cawthon – Marketing Head Claire Cawthon, prominent on the marketing side, serves as CMO at ForceField and advisor at Kinetic Capital. She has worked with over 280 Web3 projects, including Ethereum and Solana, and managed annual marketing budgets exceeding $145 million.
Official Links
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