Optimizing LLM Models for Low Power Consumption

Power is the new bottleneck in AI infrastructure. Training gets headlines, but inference dominates energy budgets in production. For teams running continuous agentic workflows or long-context pipelines, watts per request directly translate to carbon footprint and operating cost. Optimizing LLMs for low power consumption is no longer a hardware-only concern. It is a full-stack design problem that spans quantization, architecture, batching, and platform choice. Why Power Efficiency Defines Modern…