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About Datagram Network

Datagram Network (DGRAM) is an innovative, AI-driven Hyper-Fabric Network designed to provide global, real-time connectivity while enabling cross-network interoperability within the decentralized physical infrastructure network (DePIN) ecosystem. Operating through hundreds of thousands of nodes across more than 150 countries, Datagram aims to overcome the limitations of traditional cloud infrastructure, offering scalable, efficient, and community-owned solutions for Web3 applications, AI workloads, gaming, and real-time communication.

What Is Datagram?

Datagram is a next-generation decentralized infrastructure protocol (DePIN) that leverages idle hardware and bandwidth resources worldwide. Traditional cloud systems are centralized, costly, and often inefficient, creating bottlenecks for modern applications. While other DePIN projects provide alternatives, they often remain fragmented, limiting economies of scale. Datagram addresses these challenges through its Hyper-Fabric Network, a unified infrastructure that dynamically allocates resources in real-time using AI-driven optimization.

The network is designed to serve multiple stakeholders:

  • Businesses and Developers: Datagram functions as a decentralized Infrastructure-as-a-Service (IaaS) platform, offering scalable and cost-effective solutions for real-time communication, gaming, AI inference, and other internet applications.
  • Node Operators and the Community: Individuals can contribute hardware and bandwidth to the network, earning performance-based incentives aligned with network demand and usage.

Key Features That Make Datagram Unique

Datagram differentiates itself from other decentralized networks by offering a comprehensive, multi-functional infrastructure platform, rather than focusing on a single function such as compute, storage, or bandwidth. Core innovations include:

  • Hyper-Fabric Network: Optimizes and unifies decentralized node networks into a scalable, high-performance connectivity layer capable of handling low-latency, mission-critical applications.
  • AI-Driven Resource Management: Dynamically distributes resources across UDP and TCP protocols, ensuring efficient, affordable, and reliable performance for real-time workloads.
  • Datagram Core Substrate: Provides a unifying framework for DePIN-to-DePIN interoperability, enabling third-party projects to integrate seamlessly into the network, expanding the ecosystem and improving resource utilization.
  • Burn-and-Mint Equilibrium Tokenomics: Aligns long-term value creation with network adoption by reducing circulating token supply through fee burning while linking new issuance to active participation.

Tokenomics and Ecosystem

Datagram’s native token, DGRAM, has a fixed supply of 10 billion tokens, with 57.5% initially in circulation. The token model is designed to incentivize both community participation and long-term network growth. By combining fee-burning mechanisms with reward issuance, the Burn-and-Mint Equilibrium aims to sustainably increase value as network usage grows.

The ecosystem is focused on decentralized real-time communication and IoT infrastructure, offering interoperability and performance optimization for diverse applications. The network is supported by major exchanges, including Binance Alpha and Gate, providing liquidity and market access for token holders.

Why Datagram Matters for the DePIN Space

Datagram bridges critical gaps in decentralized infrastructure by:

  • Providing a unified, scalable platform for multiple infrastructure functions.
  • Offering AI-driven optimization for low-latency, real-time applications.
  • Promoting DePIN interoperability through the Core Substrate framework.
  • Enabling community participation and sustainable network growth through its tokenomics model.

As Web3, AI, and real-time digital experiences continue to grow, Datagram positions itself as a foundational layer for decentralized connectivity, offering a sustainable alternative to centralized cloud providers and fragmented DePIN networks.

Datagram Network Technical Details

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