
Bit2Watt GPU Attack Uses LLM Training Workloads to Destabilize Data Center Power Grids
Researchers have disclosed Bit2Watt, a cyber-physical attack concept that turns legitimate GPU workloads into a mechanism for disrupting power infrastructure. The technique manipulates GPU power consumption at high frequencies, potentially degrading power quality in data centers connected to renewable-heavy electrical grids. Unlike conventional attacks on industrial control systems, Bit2Watt does not require attackers to compromise […]
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