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Manycore Tech Open-Sources 3D Gaussian Viewer, Ushering in the Era of the 3D Internet
The browser-based viewer can render city-scale scenes with over 1 billion Gaussian splats and adds open APIs for spatial reconstruction and AI model generation.
On Monday, Manycore Tech announced the open-source release of Aholo Viewer, a 3D Gaussian viewer enabling users to explore massive 3D environments directly from web browsers without client installation, rendering city-scale scenes with over 1 billion Gaussian splats.
For more than 30 years, the internet remained confined to 2D formats, limiting AI's ability to form complete spatial understanding of the physical world, as Huang Xiaohuang noted that "a room is reduced to a handful of photos, a product becomes a flat image."
Aholo Viewer achieves a tenfold increase in splat capacity compared to Fei-Fei Li's Spark 2.0 engine, which streams over 100 million splats on consumer devices, while delivering meaningful improvements in rendering speed, fluidity, and memory efficiency.
Alongside the viewer release, Manycore Tech opened APIs for its Aholo Spatial Intelligence Platform—including spatial reconstruction, cloud rendering, and AI-powered generation—enabling 3D scenes to evolve into editable, programmable digital assets for tourism, filmmaking, and gaming.
As 3D infrastructure adoption accelerates, vast amounts of real-world spatial data could emerge at scale, providing critical training data for embodied AI systems and robotics, positioning Manycore Tech as a core infrastructure provider for the spatial intelligence industry.