2 papers
cs.AI2026
Energy Efficiency of Locally Deployed LLMs: A Preliminary Quantitative GPU Power Benchmark on Consumer Hardware
Philipp M. Zähl, Anika Hennig, Elja Dalipaj +1
The local deployment of large language models (LLMs) is gaining traction due to privacy concerns and the desire for on-premise inference. However, the energy costs on consumer hard…
cs.SE2026
Integrating Energy Efficiency into Software Development: Developer Perspectives and Requirements
Anika Hennig, Leonie Schulte, Philipp M. Zähl +1
In the context of the growing energy footprint of information and communication technology, industry optimization efforts have primarily focused on hardware, while the impact of so…