DePin

STAR sustains the Starpower network using energy contribution data, device participation incentives, and on-chain coordination mechanisms, converting real-world energy actions into an on-chain incentive framework.

Starpower leverages the DePIN network to aggregate solar energy, electric vehicles, and home energy storage devices, utilizing on-chain systems to coordinate energy data, device status, and energy dispatch workflows.

Starpower is a distributed energy network protocol built on the DePIN architecture. It aggregates solar power, electric vehicles, home batteries, and household energy devices, efficiently coordinating the supply and demand of renewable energy.

Theta EdgeCloud is a hybrid AI edge computing platform launched by Theta Network. It coordinates distributed Edge Nodes and cloud GPU resources to process AI inference, video rendering, and other computing tasks. After developers submit a task, the system allocates it to global nodes based on resource requirements, while TFUEL is used for resource payments and node rewards. Compared with traditional centralized AI cloud platforms, Theta EdgeCloud places greater emphasis on distributed GPU sharing, edge computing, and efficient resource utilization.

Theta Network uses a layered node system made up of three core roles: Validator Node, Guardian Node, and Edge Node. Validator Nodes are responsible for block production and main chain validation, Guardian Nodes provide consensus oversight and network security, while Edge Nodes handle edge tasks such as video delivery, AI inference, and GPU computing. Through multi-layer node collaboration, Theta aims to support blockchain security, decentralized governance, and AI edge computing capacity at the same time.

Theta Network (THETA) is a decentralized blockchain infrastructure built for AI, video streaming, and edge computing. Through globally distributed nodes that share bandwidth and GPU resources, it provides low-cost, highly scalable network support for video delivery, AI inference, and Web3 media applications. Its ecosystem uses a dual-token model with THETA and TFUEL, where THETA is used for governance and staking, while TFUEL is used to pay for network resources and transaction fees. As generative AI and decentralized infrastructure continue to develop, Theta has gradually expanded into EdgeCloud, GPU computing, NFTs, Web3 entertainment, and several other areas.

THETA and TFUEL are the two core tokens in the Theta Network ecosystem, but they do not serve the same function. THETA is mainly used for governance, node staking, and network security, while TFUEL is used to pay for gas, AI computation, video processing, node rewards, and other network resource consumption. Theta’s dual-token mechanism is designed to separate governance from network operations, improving ecosystem efficiency while supporting the growth of edge computing and AI infrastructure.

The SHARE token is the core utility asset of the ShareX ecosystem. It is mainly used for shared device service payments, ecosystem incentives, RWA participation, governance coordination, and on-chain value flow.

ShareX connects real world shared devices through Deshare, uses Trusted Chips to verify device data, and maps orders and revenue into on-chain revenue flows through PowerPass and ShareFi.

ShareX (SHARE) is a blockchain network that combines DePIN, ShareFi, and the sharing economy. At its core, it connects real world shared devices, IoT data, and on-chain financial systems.

Aethir is a decentralized GPU computing network built on blockchain technology, designed to integrate distributed computing resources into a flexible, schedulable AI infrastructure.

ATH tokens serve as the primary economic tool in Aethir’s decentralized computing ecosystem, enabling payment for GPU compute fees, participation in staking, node incentivization, and governance.

Aethir and Render are both decentralized GPU compute networks; however, Aethir primarily targets AI computing and cloud infrastructure, whereas Render specializes in 3D rendering and visual content creation.

Grass and Nodepay are both bandwidth sharing protocols. Users can participate in protocol operations and earn rewards by contributing idle network resources, which is why the two are often compared. Although both use a resource sharing and node incentive model, they differ clearly in resource use, reward mechanisms, and protocol positioning. Grass focuses more on building a decentralized data access network, using user nodes to provide public internet access capacity for data request distribution. Nodepay, by contrast, places more emphasis on recording the value of resource contribution itself, building its incentive mechanism around node online status and resource quality.

Grass allows users to share unused network resources by running nodes, providing distributed connectivity for access to public web data. The system records contribution points based on node online status, network quality, and task completion, encouraging users to continue supplying bandwidth resources.