NVIDIA^® Data Loading Library™ (DALI) is a data loading library that accelerates the preprocessing of input data for deep learning applications. By offloading augmentations onto GPUs, DALI addresses performance bottlenecks in today’s computer vision deep learning applications that include complex, multi-stage data augmentation steps. With DALI 0.1 beta release, deep learning researchers can scale training performance on image classification models such as ResNet-50 with MXNet, TensorFlow, and PyTorch across Amazon Web Services P3 8 GPU instances or DGX-1 systems with Volta architecture. Framework developers will have less duplication due to better code reuse and maintainability.

DALI offers both performance and flexibility of accelerating different data pipelines (graphs that can have multiple outputs and inputs), as a single library, that can be easily integrated into different deep learning training and inference applications.