How can AI computations be distributed across multiple devices?

AI computations can be distributed across multiple devices through a technique known as distributed computing. This involves breaking down the computational tasks of the AI model and distributing them across a cluster of devices, such as multiple servers or even edge devices like smartphones or IoT devices. In this approach, each device handles a portion of the overall computation, and their results are combined to produce the final output. Effective distribution of AI computations requires careful partitioning of the workload, efficient communication protocols, and synchronization mechanisms to exchange data and intermediate results among the devices. This distributed approach allows for parallel processing, increased speed, and scalability, making it possible to handle larger and more complex AI models and datasets.

This mind map was published on 5 October 2023 and has been viewed 51 times.