The field of 3D Gaussian Splatting is witnessing significant developments, with a focus on improving rendering speed, reducing memory consumption, and enhancing reconstruction quality. Researchers are exploring innovative methods to accelerate 3D Gaussian Splatting, including tile-grouping-based accelerators and codebook-condensed representations. These advancements have the potential to enable real-time applications and high-quality reconstructions of complex scenes. Noteworthy papers include GS-TG, which achieves an average speed-up of 1.54 times over state-of-the-art 3D-GS accelerators, and ContraGS, which significantly reduces memory consumption during training and rendering. Additionally, the introduction of multi-GPU extensions and quantization schemes is expanding the capabilities of 3D Gaussian Splatting for high-resolution isosurface visualization and large-scale scene reconstruction.