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Recent advances in Gaussian splatting have enabled real-time and photorealistic rendering of volumetric scenes, showing potential to become a mainstream 3D representation. Through efficient learning, Gaussian splatting transforms multiview images into a 3D representation, which can be interpreted as a point cloud with additional attributes. One of the challenges of Gaussian splatting is the large file size needed for storing its raw representation, which may be in the order of 1GB to 10GB for objects and scenes. Fast and mass market adoption of this technology requires a standard that offers interoperability and allows to efficiently reduce the size of the Gaussian splat representation to manageable bitrates at high visual quality. In this paper, we present how the ISO/IEC 23090-5 visual volumetric video-based coding (V3C) and video-based point cloud compression (V-PCC) standard can be utilized for coding scenes and objects represented with Gaussian splats. We show that a new profile of V-PCC provides better compression gains compared to other existing methods. Moreover, as V-PCC leverages video coding at its core, the video decoding hardware acceleration ecosystem paves the way towards streaming, decoding and realtime rendering of static Gaussian Splat scenes on mobile devices.