Datagram Architecture Overview
Datagram is a Layer 1 network built on Avalanche, designed to power real-time applications by providing scalable, decentralized, and cost-efficient access to compute, bandwidth, and storage. Its architecture abstracts the complexity of decentralized systems, delivering a Web2-like experience while preserving the benefits of blockchain—security, interoperability, and efficiency.
Datagram also supports Decentralized Physical Infrastructure Networks (DePIN) through its connectivity layer via the Datagram Core Substrate, its core mission is to make decentralized infrastructure easily accessible to applications that require high-performance connectivity. It currently supports EVM-based networks, with non-EVM compatibility planned for future releases.
The architecture is composed of four key components, each playing a vital role in enabling low-latency, secure, and high-throughput decentralized infrastructure:
Datagram Node Network: The backbone of Datagram, consisting of distributed nodes (Datagram Cores) that handle routing, validation, and data transmission. It supports both native and external DePIN projects, providing decentralized compute, bandwidth, and storage resources.
Fabric Networks: Independent DePIN networks that integrate with Datagram’s infrastructure. These networks leverage shared resources while maintaining specialized operations for both scalability and interoperability.
Datagram Core Substrate (DCS): The connectivity layer that enables seamless coordination of compute, bandwidth, and storage across the network. It is integrated with the Network Operations Center (NOC) for real-time performance monitoring and reward distribution.
Hyper Network Layer: An AI-driven coordination system that intelligently manages traffic routing, load balancing, and resource allocation in real-time, ensuring low-latency, fault-tolerant performance.
Each component works in concert to provide a robust foundation for enterprises, developers, and service providers to deploy DePIN solutions with ease. The following documents offer deeper insight into each layer of the architecture.
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