System Architecture

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Last updated 11 months ago

System Architecture

AILayer's system architecture consists of three core layers: , , .

Basic Layer

The base layer of AILayer adopts the Bitcoin blockchain as the underlying infrastructure. The Bitcoin network provides a secure and reliable distributed ledger, as well as a mature consensus mechanism, which forms a solid foundation for AILayer.

At this layer, AILayer utilizes Bitcoin's native asset (BTC) as the primary medium for transactions and value transfer. Additionally, this layer supports the issuance and circulation of various Bitcoin-derived assets, laying the groundwork for a more diverse range of digital asset applications.

Furthermore, the base layer also assumes the responsibility of oversight and auditing for the entire AILayer system. By leveraging the reliability and transparency of Bitcoin, this layer can effectively maintain the security and compliance of the system.

the base layer serves as the foundation of AILayer, ensuring the operational security and reliability of the entire system. This architectural design fully harnesses the advantages of the Bitcoin blockchain, providing a robust support structure for AILayer's innovative applications.

Layer2

The Layer2 is a core component of the AILayer architecture, leveraging advanced scaling technologies to enhance the performance and efficiency of Bitcoin transactions. The key functionalities of this layer include:

Increased Transaction Throughput Layer2 technologies, such as Lightning Network and Liquid Network, can significantly improve the transaction throughput of the Bitcoin network. For example, Lightning Network can support thousands of transactions per second, far exceeding the processing capabilities of the Bitcoin mainchain. This allows the AILayer to meet the real-time and high-concurrency requirements of digital asset applications.
Optimized Transaction Costs Layer2 technologies can dramatically reduce the cost per transaction. Lightning Network's use of payment channels enables most transactions to be processed off-chain, avoiding the high miner fees on the mainchain. Liquid Network also offers lower transaction fees. This helps to reduce the usage costs for users, promoting the widespread adoption of digital asset applications.
Smart Contract Support The Layer2 not only enhances transaction performance, but also supports more sophisticated smart contract functionalities. Developers can deploy various decentralized applications (dApps) on the Layer2, leveraging the security and reliability of the Bitcoin blockchain. This provides a rich infrastructure for the upper-level AI applications on the AILayer.
Cross-Chain Interoperability The Layer2 networks also enable cross-chain interoperability between different blockchains. For instance, Liquid Network can facilitate asset conversion and interaction with the Bitcoin mainchain. This cross-chain capability greatly enhances the flexibility and applicability of the AILayer.

the Layer2 of the AILayer architecture harnesses the strengths of the Bitcoin network, while overcoming the limitations of the mainchain, to provide a high-performance, low-cost, and secure infrastructure for the upper-level AI applications. It is a critical component of the AILayer architecture, bringing significant technological advantages to the entire system.

The AILayer is the core component of the entire architecture, responsible for hosting and executing the AI models that drive the advanced applications and services in the ecosystem. This layer has the following key functionalities:

1.AI Model Hosting and Execution

The AILayer provides high-performance computing resources and storage space for running various advanced AI models and algorithms.
It adopts containerization and virtualization technologies to ensure AI models execute in a securely isolated environment, preventing mutual interference.
For different types of AI tasks, the AILayer is equipped with hardware accelerators such as GPUs and FPGAs to significantly improve the execution efficiency of the models.
The AILayer has elastic scalability, able to dynamically allocate the required computing resources based on the business workload.

2.Model Training and Optimization

The AILayer supports mainstream machine learning frameworks, such as TensorFlow and PyTorch, providing end-to-end model training and fine-tuning capabilities.
It can automatically manage massive training data sets, including the full-process data management capabilities such as data collection, cleaning, and labeling.
The AILayer is equipped with model performance monitoring, debugging, and optimization tools to help developers continuously improve the accuracy and efficiency of the models.
It supports advanced distributed machine learning technologies, such as federated learning and transfer learning, to fully utilize the computing power of edge devices.

3.Modular and Scalable Design

The architecture of the AILayer adopts a loosely coupled microservices design, where each functional module is independent and easy to expand and upgrade.
It provides standardized APIs and SDKs, allowing third-party developers to conveniently integrate their own AI models into the ecosystem.
The AILayer supports the flexible integration of heterogeneous hardware and different machine learning frameworks, meeting diverse business requirements

4.Secure and Compliant Execution

To protect the security of data and models, the AILayer adopts measures such as encryption and access control for comprehensive data protection.
It strictly follows industry standards and regulatory requirements, with built-in compliance checking functionalities to ensure business activities comply with relevant laws and regulations.
The AILayer has a comprehensive security audit and incident response mechanism, able to monitor the system status in real-time and quickly respond to various security threats

5.Scalable and Highly Resilient Infrastructure

The underlying architecture of the AILayer is based on a distributed, highly available, cloud-native design, able to dynamically scale computing, storage, and other critical resources.
It adopts load balancing, fault-tolerance, and backup techniques to ensure business continuity and avoid service interruptions caused by single points of failure.
The AILayer supports cross-cloud, cross-region disaster recovery and backup capabilities, protecting critical businesses from the impact of regional natural disasters or interruptions

As the core supporting layer of the entire ecosystem, the AILayer, through its powerful AI capabilities, strict security and compliance, and highly resilient infrastructure, provides a solid and reliable foundation for the upper-layer applications and services.