Overview

AIOZ Edge Nodes are computers that operate AIOZ Nodes software, whether it's the GUI or CLI. AIOZ Edge Nodes contributes storage capacity, network bandwidth and computing power to the AIOZ dCDN and gets rewards in AIOZ Tokens.

In the digital era, edge computing has become a catalyst for change, especially in AI, big data, and video streaming sectors. AIOZ Network exemplifies this shift, using edge computing to revolutionize data processing. This innovation is embodied in the AIOZ Network's edge nodes, equipped with high-capacity storage, powerful CPUs and GPUs for computing, and advanced network interfaces for efficient content distribution.

The Potential of Edge Computing

Edge computing, by processing data close to its source, greatly reduces delays and improves real-time processing. This is crucial for AI algorithms and big data applications needing fast analysis. It also speeds up and enhances video streaming. Additionally, it cuts costs by reducing the need to send data to central cloud locations, boosting efficiency. Furthermore, as AI demand grows, especially for tasks like training and making decisions (inference), edge computing will play a vital role in meeting these increasing needs, making AI operations faster and more effective.

Hardware Contribution of AIOZ Edge Nodes into AIOZ Network

The AIOZ Network's edge nodes are powered by robust hardware components:

• Storage: High-capacity hard drives store large amounts of data, vital for delivering content swiftly and reliably.

• Computing: The integration of CPUs and GPUs enables efficient transaction processing, software operations, and enhanced capabilities for video transcoding and AI-driven tasks.

Participation in AIOZ Network

The AIOZ Node GUI Version, ideal for beginners, offers a user-friendly interface for joining and contributing to the network. It's designed for those interested in video streaming, AI computing, and big data, but with less technical expertise. The AIOZ Node CLI Version, suited for advanced users, provides greater control and is used for installing in cloud instances, catering to the technical demands of large-scale data storage and processing.