👉 Grow computing, also known as edge AI or distributed AI, is a paradigm that extends the capabilities of traditional cloud computing by bringing artificial intelligence (AI) and machine learning (ML) models closer to the data sources, such as IoT devices, sensors, or local networks. This approach reduces latency, enhances privacy by keeping data on local devices, and minimizes bandwidth usage by processing data at the edge rather than sending it to centralized cloud servers. By distributing AI workloads across a network of edge devices, grow computing enables real-time analytics, faster decision-making, and more efficient use of resources, making it particularly valuable for applications requiring immediate responses, such as autonomous vehicles, smart cities, and industrial automation.
