Ampace Will Showcase AI Power Tech in Singapore
Ampace will exhibit its latest data center power solutions at the upcoming Data Center World Asia conference.
Updated on Sept. 24, 2026 in Data Centers
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Ampace will exhibit its PU100 and PU200 power models at Data Center World Asia, held at Marina Bay Sands from September 29-30, 2026. The company serves over 80 million users worldwide and will highlight infrastructure solutions designed for modern AI workloads.
Why it matters
Dynamic AI workloads demand frequent battery cycling for load smoothing, a shift from traditional standby power needs. Ampace aims to address this requirement by showcasing modular power architecture capable of handling the demands of high-intensity AI computing.
Ampace serves 80 million users and will showcase the PU100 and PU200 models at booth C60. The PU100 is specifically designed to support both standard UPS backup power and dynamic AI load smoothing.
The players
Ampace
Ampace is a power technology company that currently serves more than 80 million users across the globe.
Eaton
Eaton is a power management company that will co-present with Ampace regarding data center energy architecture.
The details
Ampace will join Eaton on September 29, 2026, for a joint presentation focusing on PTU electrical and physical architecture. The company utilizes advanced testing methods, including electronic-load evaluation and battery analysis under simulated AI duty cycles, to develop these modular infrastructure systems.
Timeline
September 29-30, 2026, marks the dates for the Data Center World Asia exhibition.
September 29, 2026, is the scheduled time for the joint presentation on AI load stabilization.
The Tech Race
The emergence of AI-specific load smoothing reflects a fundamental shift beyond the traditional uninterruptible power supply (UPS) standard. This transition signals a broader industry evolution toward specialized, high-cycle infrastructure designed specifically for intensive AI computation.
Data center operators and IT managers can expect new modular power options that better support the demanding electrical requirements of AI servers. These systems improve reliability for high-performance computing tasks by stabilizing power flow under varying duty cycles.
The takeaway
As AI processing requirements grow, power systems must move beyond simple standby backup to active load management. Enterprises should evaluate their infrastructure's capacity for high-frequency battery cycling to maintain operational uptime during intense compute phases.
Further reading
For broader trends in infrastructure, visit the Data Centers section.
Source note: This article includes information reported by The Hindu.
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