streaming
The StreamingDataset offers efficient large dataset training from cloud storage with minimal delay. Designed for distributed multi-node environments, it optimizes data delivery and accuracy while integrating with PyTorch workflows. Supporting diverse data types like images, text, and video, it works with major cloud storage providers for simplified dataset handling. This system features deterministic sampling, fast mid-epoch resumption, high throughput, and balanced convergence, enabling reproducible model training on setups spanning from single GPUs to large clusters, ensuring efficiency and scalability.