👉 Casting computing is a computational technique used to efficiently allocate and manage computational resources, primarily in cloud environments, to optimize the performance of machine learning models. It involves dynamically assigning specific tasks or workloads to specialized hardware, such as GPUs or TPUs, based on their capabilities and the requirements of the tasks. This process ensures that each task is executed on the most suitable hardware, maximizing efficiency and minimizing latency. By intelligently matching tasks with appropriate resources, casting computing enhances the scalability, cost-effectiveness, and overall performance of machine learning applications, enabling faster training and inference times while reducing energy consumption.
