DePin

AI Capex refers to long-term financial investments in physical AI infrastructure like GPU chips, data centers, and power grids. This article explores its role in LLM evolution, AGI scaling, and ecosystem integration with Gate.

DePIN uses token incentives to coordinate distributed resources, but network growth does not guarantee lasting token demand. Explore AIOZ Network’s incentive model, supply dynamics, value capture and the conditions for sustainable infrastructure economics.

AIOZ Network provides decentralized infrastructure for Web3, including AI computing, distributed storage and content delivery. Explore its technology, tokenomics, ecosystem and long-term growth opportunities and challenges.

DePin uses blockchain and token incentives to coordinate decentralized physical infrastructure. Explore its economic model, the Sui Foundation’s $30 million backing of DATA Network, token utility and the project’s connection to Gate’s spot ecosystem.

Acurast is a DePIN Layer 1 that turns idle smartphones into confidential, verifiable cloud nodes. Developers deploy serverless workloads to TEE-secured phone processors; Compute Providers earn ACU. Mainnet and the ACU TGE went live on January 20, 2026.

Vangrid has completed a $9 million seed round of financing to explore the collection, verification, and distribution of spatial data through a DePIN network, providing real-world data infrastructure for robotics, autonomous systems, and Physical AI.

Solana Seeker SKR rewards must be separated into Season 1 historical allocations, individual Season 2 activities, and SKR staking. Season 1 allocations were published; Season 2 should not be presented as a fixed-amount airdrop, and each activity’s status and claim conditions must be checked separately.

IO (io.net) is a decentralized GPU compute network built for artificial intelligence (AI) and machine learning (ML) applications. By pooling underutilized GPU resources worldwide, it delivers on-demand, high-performance computing power to developers, enterprises, and AI projects.

The core distinction between OKZOO and traditional DePIN projects lies in the type of resources the network produces and utilizes. Traditional DePIN projects center on infrastructure resources like hashrate, communication networks, bandwidth, or geolocation. In contrast, OKZOO focuses on environmental data collection and AI data infrastructure. Through P-mini devices, OKZOO gathers real-world environmental data and combines AI Pet and AIOT incentive mechanisms to build an AIoT network.

OKZOO (AIOT) is an AIoT infrastructure integrating AI, IoT, and blockchain networks, collecting real-world data through distributed environmental sensing devices and leveraging AI Pet interaction mechanisms and AIOT tokens to incentivize user data contributions. OKZOO aims to build a global environmental data network, providing trustworthy, Tiempo real, and verifiable data sources for AI models, smart devices, and real-world applications.

OKZOO collects real-world data—such as air quality, temperature, humidity, and noise—via its P-mini environmental sensing device, then uploads the data to a decentralized network for verification and recording. A full data upload process typically involves six stages: environmental data collection, device preprocessing, network verification, on-chain recording, AI data integration, and reward distribution. Unlike traditional IoT networks, OKZOO integrates data contribution, on-chain incentives, and AI use cases, enabling real-world data to continuously become verifiable digital assets and AI resources.

Both GEODNET and traditional CORS networks deliver RTK high-precision positioning services, yet GEODNET operates on a Decentralized Physical Infrastructure Network (DePIN) model, whereas traditional CORS networks are predominantly centrally built and maintained by government agencies, surveying authorities, or commercial operators. While both depend on GNSS reference stations to produce positioning correction data, they differ markedly in network expansion approaches, cost structures, and participation models.

GEODNET (GEOD) is a global high-precision positioning network built on a Decentralized Physical Infrastructure Network (DePIN). By incentivizing users to deploy GNSS reference stations, it delivers centimeter-level Real-Time Kinematic (RTK) services for drones, robots, autonomous driving systems, and surveying equipment. Unlike traditional centralized positioning services, GEODNET leverages blockchain and token incentives to expand global positioning infrastructure, enabling high-precision coverage of a wider area at a lower cost.

RTK (Real-Time Kinematic, 实时动态定位) is a high-precision positioning technology built on Global Navigation Satellite Systems (GNSS). By calculating satellite signal errors in real time at a reference station and transmitting correction data to user devices, it elevates ordinary GPS accuracy from meter-level to centimeter-level precision. GEODNET integrates RTK with a decentralized physical infrastructure network (DePIN), leveraging globally distributed GNSS reference stations to continuously generate and share correction data. This delivers high-precision positioning services with broader coverage and lower cost. Unlike traditional RTK networks, GEODNET employs token-based incentives to fund infrastructure growth, enabling community-driven global expansion.

GEODNET and Helium are both part of the DePIN (Decentralized Physical Infrastructure Network) sector, but the infrastructure they build serves different purposes. At their core, GEODNET provides location data infrastructure, solving how devices pinpoint their position with accuracy, while Helium offers connectivity infrastructure, addressing how devices connect to the network. Both leverage token incentives to advance real-world infrastructure, yet they differ significantly in their target users, data types, business models, and industry applications.