Envision Energy has completed the commercial deployment of an integrated 800-volt DC power system at its Galaxy AI data center in Ulanqab, Inner Mongolia, China. The system, supported by the Dubhe Controller and Dubhe Energy Foundation Model, has been under testing since August.
This deployment represents a shift from traditional data center power architectures, which typically involve multiple power conversion stages from the grid to usable supply.
The Dubhe technology converts power directly from 10kV medium-voltage AC to an 800V DC bus. This direct conversion reduces the number of power conversion stages, which increases efficiency and decreases the physical size of the power conversion apparatus.
Key components include a solid-state transformer (SST) for stable 10kV to 800V DC conversion, battery storage for second-scale power support and minute-scale backup, and millisecond-level coordination between SST and storage to manage GPU load fluctuations.
The 800V DC system supports higher-density AI racks, allowing for more computing power within the same physical footprint. This is crucial for AI data centers that require significant computational resources.
The Galaxy campus plans to scale to 3GW capacity and eventually support up to one million AI accelerators, with the new power system instrumental to this expansion. The system is also designed to integrate with renewable energy sources.
Envision Energy plans to roll out this 800V DC technology in its Mission Gobi initiative. This initiative targets 5GW of green AI data center capacity in desert regions by 2030.
The company reports that the Dubhe tech system is performing as expected, indicating its potential for broader application in large-scale AI infrastructure.
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Envision Energy has deployed an 800-volt DC power system at its Galaxy AI data center in Ulanqab, Inner Mongolia, China. This system converts 10kV AC directly to 800V DC, reducing power conversion stages and supporting higher computing density for AI workloads. The technology is intended to scale the Galaxy campus to 3GW capacity and support up to one million AI accelerators.