DSVT implements a dynamic sparse voxel transformer with rotated sets for processing large-scale point clouds. Published at CVPR 2023, it serves as an efficient and deployment-friendly sparse backbone for 3D object detection tasks. The model achieves state-of-the-art results on Waymo and nuScenes datasets for vehicle, pedestrian, and cyclist detection.