Roadmap
Phase 1:
GPU Rent and Lending: Enable GPU renting for users to access computational power. Implement GPU lending functionality for users to lend their GPU resources.
MeshMine Mining Dapp: integrate MeshMine.cc mining D App for decentralized cryptocurrency mining. Allow users to participate in mining activities through the software.
AI Service Integration: Dockerize AI services for seamless integration into the software. Allow users to easily integrate AI services for various tasks.
Monitoring Tools: Develop performance and health monitoring tools for nodes within the network. Provide insights into the performance of the decentralized network.
Beta Platform Launch: Roll out the beta version of MeshAi platform to a limited user base. Test platform functionalities, token usage, and rental system.
Community Building : Expand user base through marketing and community engagement efforts. Gather feedback from beta users to improve platform usability.
GPU Complete development of core platform features. Implement user registration, authentication, and profile management. Launch alpha version for internal testing and feedback.
Phase 2:
Token Generation Event (TGE) : Conduct Token Generation Event to distribute MeshAi tokens. List MeshAi token on major exchanges for trading.
Task Distribution with Smart Contracts: Develop smart contracts to efficiently allocate tasks within the network. Ensure fair and automated task distribution based on predefined conditions.
Decentralized Network (MeshAi Network): Operate the MeshAi Network as a decentralized cloud network. Enable users to utilize decentralized computing resources for their tasks.
Phase 3:
Platform Expansion: Enhance platform features based on user feedback and market demand. Introduce new services and tools to improve user experience. Expand platform offerings to include additional GPU types and resources.
Staking with ETH Rewards: Integrate staking functionality with ETH rewards for network participants. Allow users to stake their tokens and earn ETH rewards for network contribution.
Kubernetes Integration : Implement Kubernetes for container orchestration to manage workloads efficiently. Ensure seamless deployment and scaling of applications using Kubernetes.
Task Distribution with Smart Contracts: Develop smart contracts to efficiently allocate tasks within the network. Ensure fair and automated task distribution based on predefined conditions.
Decentralized Network (MeshAi Network): Operate the MeshAi Network as a decentralized cloud network. Enable users to utilize decentralized computing resources for their tasks.
Stretegic Partnership: Scaling ML Inference with Server less: Introduce server less architecture for scaling machine learning (ML) inference. Enable auto-scaling of ML workloads based on demand using server less functions.
MeshAi Network: Develop MeshAi network capabilities for decentralized communication. Enable peer-to-peer communication and data transfer within the network.
Research and Development (Ongoing): invest in R&D to integrate cutting-edge technologies such as AI-driven resource allocation and optimization. Explore integration with emerging technologies like edge computing for distributed GPU resources.
Community Engagement and Education (Ongoing): Foster a vibrant community around MeshAi through events, forums, and educational content. Provide resources and tutorials to help users make the most out of GPU resources and block chain technology.
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