👉 Ref computing, or remote function computing, is a distributed computing paradigm where computational tasks are offloaded to remote servers or cloud-based resources rather than being executed locally on a user's device. This approach leverages the power of remote computing infrastructure to handle complex calculations, data processing, and AI tasks efficiently, often providing scalability and cost-effectiveness. By breaking down large computations into smaller, manageable functions that can be executed in parallel across multiple remote nodes, ref computing enhances performance and enables real-time processing, making it particularly valuable for applications requiring high computational power or frequent updates, such as machine learning models and real-time analytics.
