# 4.1. Key Use Cases **High-Performance, Real-Time Communication** The initial "killer app" for Datagram demonstrates its decentralized infrastructure's advantages over traditional platforms like Zoom. It can support more than 10,000 participants per room, reduces latency, enhances privacy, and offers cost savings of up to 90% compared to centralized solutions. Projects can deploy their real-time communication applications on Datagram’s infrastructure or white-label their own video conferencing service. **Artificial Intelligence & Decentralized Cloud Computing** Datagram is also developing an AI Compute Fabric Network, which is designed to provide a decentralized alternative to traditional cloud providers like AWS and Google Cloud. The network focuses on data transmission and edge computing for AI applications, enabling AI model training and compute power provisioning. The AI integration is a core part of Datagram’s infrastructure scaling strategy, allowing other DePIN projects to build on its Substrate-based connectivity layer. Key features include: * Real-time node uptime analytics to ensure optimal AI compute availability * On-chain performance tracking for transparency and efficiency * A Network Operations Center NOC dashboard that visualizes AI compute activity via a heat map This means that Datagram provides a decentralized alternative to centralized AI, enabling cloud computing and Various AI applications to operate on-chain with reduced costs and associated blockchain benefits. **Enterprise Privacy & Secure Communication** By running dedicated Full Cores, organizations can establish self-sovereign communication networks that eliminate reliance on external servers and offer complete control over data routing, storage, and encryption. This ensures that all calls, messages, and shared data remain within their infrastructure, mitigating risks associated with data interception, subpoena requests, or geopolitical interference. Additionally, Datagram’s decentralized architecture enables organizations to customize configurations in order to comply with strict data privacy regulations, including HIPAA, GDPR, and industry-specific security frameworks. Full Cores allow businesses to define access controls, encrypt communication end-to-end, and implement customized data retention policies, ensuring confidentiality, integrity, and availability of the enterprise communications. Examples of applications that can benefit from running dedicated Full Cores include educational platforms, telemedicine, secure data storage, and much more. Any type of solution requiring highly secure data communication can leverage Datagram. **Infrastructure for DePIN and Web3 dApps** Datagram supports Web3 applications, enabling them to integrate real-time messaging, video calls, and data processing without relying on centralized servers. This infrastructure is particularly valuable for DePIN projects, which require scalable, distributed compute and data transmission to support their expanding node networks. By leveraging Datagram’s Core Substrate connectivity layer, Web3 applications can scale their operations, ensuring low-latency communication, improved security, and cost-efficient decentralized infrastructure. For deployments on dedicated Full Core nodes, Datagram also supports data encryption, which has been a historical challenge given Web3’s inherent transparency. Whether it’s DePIN, GameFi, SocialFi, or decentralized AI applications, Datagram can serve as a backbone for Web3 projects looking to move beyond traditional cloud dependencies and reach new audiences. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://doc.datagram.network/documentation/whitepaper/4.-datagram-in-action-real-world-applications-and-adoption/4.1.-key-use-cases.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.