Manycore Tech Makes Spatiallm Open-source To Empower Embodied Intelligence Training

Manycore Tech Inc., a fast-growing spatial intelligence company, announced that it has made its multimodal spatial comprehension model, SpatialLM, open-source at the GTC 2025, significantly lowering barriers for training embodied intelligence.

Manycore Tech is the worlds largest spatial design platform, with an average of 86.3 million monthly active visitors. It has served more than 45,500 enterprise customers across over 200 countries and regions.

SpatialLM serves as a powerful model that teaches robots how to understand the surrounding 3D environment. It provides a basic training framework for practitioners in the embodied intelligence sector, allowing them to fine-tune the model to fit into specific scenarios as needed.

Global developers can access the open-source SpatialLM on platforms, including Hugging Face, GitHub and ModelScope, to power their research and development of embodied intelligence.

SpatialLM overcomes the limitations of traditional large language models to enhance the machines ability of understanding real-world geometry and spatial relationships, much like humans do. It can automatically generate structured 3D scenes from videos, based on point cloud data extracted from those videos. It is able to accurately recognize and understand these scenes and translate them into 3D structural layouts.