Parallel AI
Parallel AI refers to the application of parallel and distributed computing techniques to artificial intelligence workloads, especially the training and serving of large machine-learning models. The approach encompasses data, model, pipeline, and expert parallelism, along with optimizer and memory sharding, to scale computation across multi-GPU, multi-node, and heterogeneous systems.
