Core Products and Services

AISTO focuses on providing high-performance AI computing power leasing, DePIN project deployment, and DePIN project incubation support for global users. It leverages tokens to share profits with all token holders. By integrating cutting-edge technology and flexible computing power scheduling, AISTO is dedicated to meeting the diverse needs of users in both AI and blockchain projects. The specific services are as follows:

1. AI Computing Power Leasing Service

AISTO offers users on-demand high-performance computing resources such as GPU, TPU, and NPU, suitable for AI model training, inference computing, and data analysis. Users can flexibly choose computing resources based on project needs, avoiding the high costs of building their own data centers, thereby significantly improving development efficiency.

• Key Features:

  • Supports large-scale AI model training and inference computing

  • Flexible leasing of computing resources for specific durations

  • Global data centers (e.g., USA, Singapore, Malaysia) providing high availability services

  • Secure data storage and computing environments to protect user data privacy

2. DePIN Project Computing Power Leasing Service

AISTO’s computing resources also support the deployment of DePIN (Decentralized Physical Infrastructure Network) projects, helping users earn returns from DePIN project investments. Through AISTO, users can deploy the required computing power for DePIN projects with one click, enabling operations and scaling within decentralized networks.

• Key Features:

  • One-click deployment for users, saving time and avoiding technical complexities

  • Enables distributed computing and physical infrastructure management, reducing dependence on centralization

  • Users can earn substantial returns by participating in DePIN projects

3. Frontline DePIN Project Deployment

AISTO plans to allocate 45% of its computing resources for the deployment of cutting-edge Web3 and DePIN projects. With deep expertise in Web3, AI, and hardware, the AISTO team can achieve higher Alpha returns in Web3 projects, offering innovative solutions to maximize user investment returns.

• Key Features:

  • Professional research and analysis: Conduct thorough analysis of underlying technology, economic models, and business logic to select top-quality DePIN projects for high returns.

  • Computing power angel investors: Establish deep partnerships with quality projects, providing computing power resources to foster growth and earn token rewards.

  • Fast computing power scheduling: Quickly allocate computing power or lease third-party computing power based on dynamic monitoring of Web3 project returns, capitalizing on periods of high returns.

4. DePIN Project Incubation Support

AISTO supports the development of early-stage DePIN projects, offering incubation services for promising projects. Through computing power investments and resource support, AISTO helps these projects achieve cost-effective and efficient development in their early stages, gaining the necessary technical and computing resources.

• Key Features:

  • Computing power investment: Provides computing resources to early-stage DePIN projects to help them launch quickly

  • Technical support: Offers guidance and infrastructure support for project development

  • Project incubation: Provides computing power and technical support to foster the growth of promising DePIN projects

  • Token rewards: AISTO and participants can earn token rewards from projects, benefiting from long-term project growth

5. Computing Power Scheduling and Flexible Management

AISTO utilizes an intelligent and precise computing power scheduling system to provide users with flexible management solutions. Whether for AI model training or DePIN project deployment, AISTO’s system can allocate and optimize computing power in real-time based on user needs, ensuring efficient resource utilization.

• Key Features:

  • End-to-end workflow management: Covers data preparation, model training, deployment, and monitoring, enabling users to complete workflows in four steps.

  • Simplified model deployment: Uses components like KFServing to easily deploy and manage models.

  • Automated GPU allocation: Leverages Kubernetes' GPU scheduling feature to automatically allocate GPU resources, improving utilization.

  • Elastic scaling: Dynamically adjusts computing resources based on load, ensuring efficient operation during both peak and low-demand periods.