AI in Multiple GPUs: Point-to-Point and Collective Operations

The article explores PyTorch's capabilities for distributed operations in multi-GPU AI workloads, emphasizing the implementation of point-to-point and collective communication patterns. These techniques enable efficient data transfer and synchronization across multiple GPUs, enhancing scalability and performance for large-scale deep learning training.