👉 Glen Computing is a distributed computing framework designed to simplify the development and deployment of large-scale machine learning applications. It leverages a decentralized architecture where computation is spread across multiple nodes, enabling efficient processing of massive datasets and complex models without the need for centralized infrastructure. This approach enhances scalability, fault tolerance, and resource utilization, making it particularly suitable for industries like healthcare, finance, and autonomous systems where data privacy and real-time processing are critical. By abstracting away the complexities of distributed computing, Glen Computing allows developers to focus on building sophisticated algorithms and models, accelerating innovation and deployment in data-intensive applications.
