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NewsMaterial2 min readDisconfirmAI Editorial

GPU Cloud Provider GMI Cloud Showcases Taoyuan AI Factory: Power Replaces Space as Compute Expansion Bottleneck

GMI Cloud unveiled its converted IDC-based AI factory in Taoyuan, highlighting that power supply, not physical space, is now the primary constraint for high-density GPU clusters like GB300, with disclosed metrics including 87% liquid cooling usage and a PUE of 1.35.

2026-10-30 19:45 GMT+8

GMI Cloud, a provider specializing in GPU cloud computing, showcased the first phase of its AI Factory in Taoyuan, Taiwan, on October 30, 2026. The facility was not newly built but converted from existing Internet Data Center (IDC) infrastructure owned by Taiwan Mobile. The tour revealed that despite significant unused floor space, the core constraint on expanding compute capacity has shifted from physical area to power availability.

According to iThome's report, GMI Cloud's deployment engineers stated that the central question for AI-era data centers has changed from "how many more racks can we fit" to "how much power can support GPU computation." The site has a maximum load capacity of approximately 25 MW, but only about 16 MW is available for IT loads, with the remainder dedicated to cooling systems, air conditioning, and other auxiliary equipment. This advantage stems from previous cautious power management by Taiwan Power Company for large data centers north of Taoyuan due to grid constraints, making existing facilities with substantial power capacity more viable for AI deployment.

The first phase features Nvidia DGX SuperPOD GB300 systems, comprising three SuperPODs and roughly 48 AI racks. A second phase, planned for December, will add approximately 3.5 SuperPODs. GMI Cloud noted that future expansion cannot simply involve adding more racks; it requires solving power efficiency issues. If the IT load approaches the 16 MW limit, additional GPU equipment cannot be installed regardless of available space.

To ensure stability for high-density GPU operations, the AI Factory employs a multi-layered power backup architecture. Lithium batteries provide an immediate buffer for about six minutes during grid interruptions, followed by UPS systems maintaining power until diesel generators start. The N+1 designed diesel generators have fuel tanks capable of supporting over 24 hours of full-load operation. Additionally, transformers, batteries, and UPS units are distributed across the site to mitigate single-point failure risks.

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Regarding thermal management, the facility uses a liquid cooling architecture that removes approximately 87% of heat, with air cooling handling the remaining 13%. Since the original IDC chilled water system operated at lower temperatures (16–17°C) than required for AI GPU liquid cooling (35–38°C), Coolant Distribution Units (CDUs) are used to integrate the systems via heat exchange. GMI Cloud reported a current Power Usage Effectiveness (PUE) of about 1.35, aiming to reduce it to 1.3 through optimized cooling controls. This case illustrates that competition in AI infrastructure is shifting from land and rack scale to effective compute output per unit of power.

Sources

  • ithome.com.twiThome↗
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