Manycore Tech Releases Open-Source 3D Gaussian Viewer, Paving the Way for the 3D Internet Age

5e853d3f3b9418330506b04d1326aeed 2 Manycore Tech Open-Sources 3D Gaussian Viewer, Ushering in the Era of the 3D Internet

(SeaPRwire) –   HANGZHOU, China, May 25, 2026 — Manycore Tech announced today the open-source launch of Aholo Viewer. This 3D Gaussian viewer enables users to navigate expansive 3D environments seamlessly via a web browser. Compatible with PCs, smartphones, and VR hardware, the tool eliminates the need for client-side installations and supports the smooth rendering of city-scale 3D scenes containing over 1 billion Gaussian splats—a scale comparable to the entirety of Hangzhou’s West Lake.

Establishing Infrastructure for 3D Internet Adoption

“For over three decades, the internet has been largely restricted to 2D media like text, images, and video,” stated Huang Xiaohuang, co-founder and chairman of Manycore Tech. “Rooms are reduced to a few snapshots, and products are flattened into images. Rich physical-world data has been consistently compressed into lower-dimensional formats. By open-sourcing essential 3D infrastructure like Aholo Viewer, we intend to hasten the dawn of the 3D internet.”

Aholo Viewer utilizes a streamable Level-of-Detail (LoD) framework, allowing 3D content to be transmitted across devices with the fluidity of video streaming. Regardless of the hardware used, users can instantly engage with billion-splat 3D scenes directly through their browsers.

Industry experts highlight that the capacity for browser-based Gaussian splat handling and rendering speed are primary benchmarks for utility. While Fei-Fei Li’s open-source Spark 2.0 engine can stream over 100 million splats on consumer hardware, Aholo Viewer supports up to 1 billion—a tenfold increase—while offering significant gains in memory efficiency, fluidity, and rendering performance.

High-performance 3D browsers are poised to become the main entry point for mainstream 3D content consumption. In practice, navigating immersive 3D spaces could soon become as simple as scrolling through short-form videos, where a single link allows users to “enter” any virtual or real-world location.

Transitioning from “Viewable” to “Usable”: The Role of Spatial Intelligence

For Manycore Tech, visualization is merely the beginning; utility is equally vital. Alongside the open-source release of Aholo Viewer, the company is providing access to APIs for its Aholo Spatial Intelligence Platform. These include tools for cloud rendering, spatial reconstruction, and AI-driven 3D model generation, all designed to overcome barriers in the creation, distribution, and deployment of 3D content.

These features allow 3D scenes to move beyond passive viewing, becoming programmable and editable digital assets integrated into professional workflows. This enables tourism operators to map entire destinations, filmmakers to build virtual production sets, and game developers to create interactive experiences within accurately reconstructed real-world environments.

By merging open-source visualization tools with open APIs for spatial computing, Manycore Tech is systematically constructing the foundational architecture for the 3D internet ecosystem, reinforcing its position as a key infrastructure provider for the spatial intelligence sector.

The Long-Term Impact: Enhancing AI’s Understanding of the Physical World

The importance of the 3D internet transcends the shift from 2D to 3D content. Its deeper value lies in addressing a fundamental limitation of artificial intelligence: the struggle to form a comprehensive spatial grasp of the physical world.

Because the internet has historically been dominated by 1D and 2D data, AI systems have primarily learned from flat representations. This explains why current models, while proficient at generating text, often falter with spatial reasoning, real-world physical tasks, and distorted visual outputs.

As foundational 3D infrastructure like Manycore Tech’s Aholo Viewer gains traction, the obstacles to accessing and distributing 3D content will likely diminish. If the creation and consumption of 3D content become as simple as sharing videos, massive amounts of spatial data will become available, providing essential training material for embodied AI, including robotics and other intelligent agents that operate within physical spaces.

SOURCE Manycore Tech Inc.

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