1 citations · 2 across the 3 of their papers we have counts for
3 papers
From Tokens to Watt-hours: Analytical Energy Estimation for LLM Inference on Modern GPUs
Tina Vartziotis, Rodopi Kosteli, Elli Vartziotis +5
The operational energy consumption of large language model (LLM) inference is becoming an increasingly important component of the environmental footprint of deployed AI systems. Ho…
Carbon Footprint Evaluation of Code Generation through LLM as a Service
Tina Vartziotis, Maximilian Schmidt, George Dasoulas +7
Due to increased computing use, data centers consume and emit a lot of energy and carbon. These contributions are expected to rise as big data analytics, digitization, and large AI…
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
Tina Vartziotis, Ippolyti Dellatolas, George Dasoulas +5
The increasing use of information technology has led to a significant share of energy consumption and carbon emissions from data centers. These contributions are expected to rise w…