MobiusHive highlights
Decentralized computing power market:
MobiusHive is built on top of the underlying MobiusHive protocol, providing a vast computing power market. Users can access the computing power socket of the MobiusHive network to find suitable computing power or applications in this decentralized market. This market operates on smart contracts and cryptocurrencies, ensuring secure and fast payments and settlements.
In addition, the MobiusHive protocol also introduces innovative features such as intelligent routing and data caching to optimize the utilization of computing resources and network efficiency.
MobiusHive adopts advanced encryption technology and security mechanisms to ensure the protection of user data and transaction information.
Node type:
MobiusHive consists of three types of nodes: validation nodes, intelligent routing nodes, and computing power nodes.
·Verification node: responsible for sending proof of computing power and reaching consensus. The initial total number of validation nodes is 13, and additional nodes will be added in batches to ensure a two-thirds consensus on Istanbul Byzantine Fault Tolerance (Istanbul BFT). Community members can apply to become verification nodes when needed.
·Intelligent routing node: responsible for allocating and scheduling computing power tasks. Any community member can apply to become an intelligent routing node at any time.
·Computing power node: Contribute computing power to complete tasks. Any community member can apply to become a computing node at any time.
Computing Power Sockets
The computing power interface converts computing resources into digital assets, with each asset assigned a unique identifier, essentially an NFT (Non Fungible Token). End users can purchase these NFTs to obtain corresponding computing resources. These NFTs can be sold or exchanged, providing a convenient way to obtain the required computing power.
The intelligent routing algorithm of MBSH efficiently allocates computing tasks and arranges idle computing resources, significantly reducing the computational cost of users.
For example, one computing power interface can be configured to support image generation tasks based on stable diffusion, while another interface can be configured for natural language processing tasks based on PyTorch. When computing power nodes use their interfaces to perform tasks, smart contracts ensure that nodes receive appropriate rewards after completing the tasks. This configuration allows computing power nodes to optimize based on their computing power and application requirements, providing AI applications with more efficient and reliable computing resources.
The computing power market operates using smart contract technology to automate the computing power trading process, ensuring transparency, fairness, and trustworthiness. Every transaction is recorded on the blockchain to ensure immutable and traceable transaction records. Computing nodes can utilize idle computing power to generate additional income while effectively managing their computing resources. Users can easily access the required computing resources without spending a lot of time and effort searching for suitable resources.
These highlights of MBSH reflect its commitment to providing users with a decentralized, efficient, and secure environment for accessing and utilizing computing resources.
Open Universe Framework
Openverse Framework is a Web3.0 Dapp development framework built on the MBSH protocol. It provides a comprehensive software development toolkit (SDK) and API to help developers create, deploy, and manage applications more efficiently. This framework enables Web2 developers to easily transition to building Web3.0 AI projects. Developers can use the Openverse Framework to directly deploy captivating Dapp on MBSH networks, achieving an 80% cost reduction compared to traditional cloud services.
Multiple AI applications have been or will be available on MobiusHive, including ChatBox, KSANA, AxiDraw, Fox Renderfarm, Title Protocol, IvySCI, Moonlight City, StoryCinema, and Lantern Academy.

Comments
Post a Comment