aiqbench takeChips & Infra

This computational method addresses a critical infrastructure bottleneck by enabling grid operators and data center developers to manage surging electricity demand driven by AI workloads. By optimizing power generation efficiency, the research directly supports the scalability of large-scale AI systems without requiring immediate massive capacity expansions.

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ORNL Develops Faster Method to Optimize Power Generation

HPCwireSeptember 21, 20261 min read

Sept. 21, 2026 — Researchers at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) have developed a computational method that could help electric grid operators and data center developers manage power more efficiently as artificial intelligence drives unprecedented growth in electricity demand. The research, which was presented at the 2026 IEEE Power & Energy […] The post ORNL Develops Faster Method to Optimize Power Generation appeared first on HPCwire.

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