Feidu Technology Unveils Full-Stack Indigenous Spatial Intelligence Solutions, Chairman Elaborates on Closed-Loop Technology

Deep News
10小時前

On March 18, Feidu Technology held a launch event in Shanghai for its new spatial intelligence products. The company introduced a spatial intelligence foundational model, the DTS V7.0 platform, and the "Yuanzun Freedo Yuan S800" all-in-one machine. This marks a significant step for the company in integrating spatial intelligence with indigenous innovation.

Driven by policy initiatives, spatial intelligence is becoming a crucial foundational capability for the digital economy. National strategies have repeatedly emphasized activating the value of spatial data elements and promoting the deep integration of "AI+" with the real economy. The industry is transitioning from a phase of technological exploration to one of large-scale application.

He Wenwu, Chairman of Feidu Technology, stated that AI is evolving from two-dimensional information processing to three-dimensional spatial understanding. He believes spatial intelligence will be a key enabler for the next wave of industrial upgrades. The newly released foundational model establishes a closed-loop capability of "perception - understanding - simulation - decision-making," providing underlying support for scenarios such as urban governance and industrial simulation.

At the platform level, the DTS Spatial Intelligence Platform has been upgraded to version 7.0. This version enhances multi-source data fusion and simulation capabilities. Through over 2,000 APIs, it builds an open ecosystem to advance the application of spatial intelligence in sectors like transportation and marine industries.

On the hardware front, Feidu Technology launched the "Yuanzun S800" all-in-one machine. It utilizes domestically produced CPUs, GPUs, and operating systems, achieving full-stack indigenous innovation capabilities from computing power to the platform. This product integrates spatial intelligence software with a computing foundation, featuring out-of-the-box usability and rapid deployment, which is expected to lower the barrier to entry for industry applications.

Concurrently, domestic GPU manufacturer Lisuan Technology showcased the latest progress of its "rendering and inference integrated" architecture. It has developed differentiated advantages in scenarios like digital twins and local AI deployment, providing critical computing power support for spatial intelligence.

In terms of application, spatial intelligence is accelerating its implementation. Represented by projects like Shanghai's urban spatiotemporal information system, the relevant technologies are already being applied in areas such as urban operations management and planning decision-making, driving urban governance towards greater refinement and intelligence.

During the event, Feidu Technology also established partnerships with multiple industry players. These collaborations will focus on advancing application scenarios and building ecosystems around smart cities and the low-altitude economy.

From an industry perspective, as the domestic computing power system matures and application scenarios continue to expand, spatial intelligence is poised to become a vital bridge connecting the digital and physical worlds. The integrated product suite launched by Feidu Technology offers the industry a comprehensive solution from underlying technology to application platforms, providing a new pathway for the industrial adoption of spatial intelligence.

Looking further ahead, spatial intelligence is still in its early stages, but the path forward is becoming clearer: computing power is being solidified, models are evolving, platforms are taking shape, and scenarios are being implemented. When these elements align, the technology truly gains the ability to penetrate reality.

If the past decade was about the digital world continuously expanding its boundaries, the next decade may be about digital systems beginning to understand space.

And once space is understood, the world gains a new possibility of being recalculated.

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