Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference

As LLMs gain traction across sectors, their energy footprint is a growing concern. This research offers strategies for energy-efficient LLM serving without sacrificing performance.

• The increasing use of LLMs calls into question their energy impact.
• Energy efficiency is becoming a primary goal for LLM inference providers.
• The study analyzes trade-offs in performance vs. energy consumption.
• It presents methods to optimize energy use while maintaining service levels.

In the quest for greener AI, it’s essential to balance performance with sustainability. This research illuminates the path forward in making LLM deployments more eco-friendly and economically viable. Learn about energy-efficient LLMs.