Bit2Watt: GPU workloads can threaten power grids
⚠️ Three Zhejiang University researchers describe "Bit2Watt," a technique showing that ordinary GPU workloads can be modulated to produce fast, controllable power oscillations. They demonstrate two methods: a synthetic kernel (SWMA) that toggles compute intensity and an LLM-training modulation (LTMA) that embeds oscillations into real training runs. Experiments measured kHz-range power components on GPUs and simulations showed that synchronized modulation across many devices could destabilize local grids and create denial-of-service or covert channels. The work highlights a visibility gap between compute and power operators and suggests combined hardware and monitoring defenses.
