Scalable Multi threaded Frameworks for AI
List of popular frameworks and libraries designed for building multi-threaded and scalable AI applications, focusing on distributed computing, parallel processing, and performance optimization: 1. Ray Description: An open-source framework for building distributed applications, particularly for machine learning and reinforcement learning. Ray simplifies parallel and distributed computing in Python. Key Features: Task parallelism and distributed execution. …