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DigiTimes
Power, not GPUs, is now AI data centers' real bottleneck
At the Sustainable AI Summit hosted by Delta Electronics, Wistron CTO Shen Ching-Yao noted that power supply limitations have emerged as the primary constraint for AI data centers, as opposed to the previously critical GPU shortages. This shift in bottleneck dynamics comes as demand for AI computing accelerates server and infrastructure deployment, indicating a pressing need for power solutions to support growing computational demands.
MonitorConfidence: MediumShort term horizonInfrastructure risk: High
Published 12 Aug 2026, 00:21 UTC1 min read
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Summary
TL;DR
- Power supply is the new main bottleneck for AI data centers.
- Wistron CTO made the statements at Delta Electronics' AI summit.
- GPU lead times have significantly improved.
- Demand for AI computing is accelerating infrastructure deployment.
- Potential memory glut expected by 2028 due to industry expansion.
Interesting facts
- Taiwan is highly ranked in terms of cyber threats, particularly involving semiconductors.
- Renewable energy advancements may soon lead to microgrids becoming pivotal for AI operations.