QSplat is a system designed for the interactive display of large 3D meshes, typically containing hundreds of millions of samples. It combines a multiresolution hierarchy based on bounding spheres with a point-based rendering system. The system uses a single data structure for view frustum culling, backface culling, level-of-detail selection, and rendering, making it efficient and compact. QSplat is suitable for large datasets and maintains an interactive frame rate regardless of object complexity or camera position. It yields reasonable image quality during motion and refines progressively when idle to a high final image quality. The implementation is optimized for speed and memory usage, making it practical for large-scale 3D digitization projects. The paper discusses the design decisions, trade-offs, and performance of QSplat, comparing it to previous algorithms for displaying large meshes and suggesting future extensions for rendering other types of large geometric data sets.QSplat is a system designed for the interactive display of large 3D meshes, typically containing hundreds of millions of samples. It combines a multiresolution hierarchy based on bounding spheres with a point-based rendering system. The system uses a single data structure for view frustum culling, backface culling, level-of-detail selection, and rendering, making it efficient and compact. QSplat is suitable for large datasets and maintains an interactive frame rate regardless of object complexity or camera position. It yields reasonable image quality during motion and refines progressively when idle to a high final image quality. The implementation is optimized for speed and memory usage, making it practical for large-scale 3D digitization projects. The paper discusses the design decisions, trade-offs, and performance of QSplat, comparing it to previous algorithms for displaying large meshes and suggesting future extensions for rendering other types of large geometric data sets.