DALI
NVIDIA's DALI library improves deep learning workflows by moving data loading and preprocessing tasks from CPU to GPU, thus overcoming CPU bottlenecks. It enhances performance for complex tasks like image classification and object detection. With compatibility across popular frameworks such as TensorFlow, PyTorch, and PaddlePaddle, DALI ensures smooth integration and application portability. It supports a wide range of data formats and offers multi-GPU scalability features, making it suitable for research and production. Additionally, DALI integrates with NVIDIA Triton Inference Server, facilitating efficient deployment of optimized inference models.
