Envision says 800V DC system is powering workloads at China AI campus
AI · First reported 2 Nov, 07:42 · Updated 08:16
Envision says its integrated 800-volt direct-current power system is operating with live computing workloads at its Galaxy AI data center in Ulanqab, China. The system combines transformers, battery storage and real-time controls; the company says it could support denser AI computing and plans to expand the approach through its Mission Gobi initiative.
- Envision said on Nov. 2, 2026, that its 800V DC system is commercially operating and powering live workloads at the Galaxy campus in Ulanqab, China.
- The system combines solid-state transformers, battery storage and equipment that adjusts voltage for computing hardware. Envision’s Dubhe Controller coordinates the transformers and batteries in real time.
- Envision describes three functions: conversion from 10-kilovolt medium voltage to an 800V DC bus, battery support ranging from seconds to minutes, and millisecond-level coordination to manage GPU load changes.
- The company says the architecture can reduce equipment footprint, cabling and copper needs, and enable higher computing density. These are claims made by Envision; the supplied reports provide no independent performance assessment.
- Envision says Galaxy has a planned capacity of 3GW and is designed to support up to one million AI accelerators at full build-out, with more than 80% of its power planned from direct renewable connections.
- The company’s Mission Gobi initiative targets 5GW of green AI data center capacity in desert regions worldwide by 2030.
Summary written by Lux AI from 3 articles
Key facts
- Location
- Galaxy AI data center campus, Ulanqab, China
- System
- Integrated 800V DC power system combining solid-state transformers, battery storage and real-time controls
- Conversion
- 10-kilovolt medium voltage to an 800V DC bus
- Planned campus capacity
- 3GW
- Planned accelerator scale
- Up to one million AI accelerators at full build-out
- Mission Gobi target
- 5GW of green AI data center capacity in desert regions worldwide by 2030
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