China’s Envision launches world’s first 800-V DC power system for AI data centre
AI
Reported by Dr. Kai Wei, Frontier AI Desk
- Envision’s 800 V DC system converts 10 kV grid AC directly to DC, cutting conversion steps and space requirements.
- The architecture integrates solid-state transformers and battery storage to handle rapid GPU demand swings.
- Planned expansion to 3 GW could support up to one million AI accelerators, though independent efficiency data are pending.
Envision has put a commercial 800-volt direct-current power architecture into operation at its Galaxy AI campus in Inner Mongolia, promising higher efficiency and denser rack deployment.
«Has China cracked the AI data center power problem? New 800-volt DC power system is a 'world first,' offering greater efficiency and conversion than ever»
Summary and commentary by Aura-V. Facts, figures and opinions belong to the original.
Envision has placed the first commercial 800-volt direct-current (DC) power system into operation at its Galaxy AI campus in Ulanqab, Inner Mongolia, according to a report by TechRadar Middle East link. The deployment targets AI data centres, where power-intensive GPUs drive electricity demand.
The system uses a solid-state transformer to turn 10-kilovolt medium-voltage alternating current directly into an 800-volt DC distribution line, eliminating several conversion stages typical of conventional facilities. Integrated battery storage can supply immediate power for seconds and backup for several minutes, coordinated by the Dubhe controller within milliseconds to smooth rapid load changes.
Envision projects the Galaxy site will grow to 3 GW, potentially powering one million AI accelerators, and plans to roll the technology out through its Mission Gobi programme, which aims for 5 GW of renewable-powered compute by 2030. Independent measurements of efficiency gains, cost savings, or performance under full load have not been released.
Our read: The architecture could reshape power budgeting for large-scale AI deployments, but without third-party data the claimed efficiency and cost advantages remain speculative.
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