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Tactic: Offload LLM Content Generation to Remote Server

Tactic sort: Awesome Tactic
Type: Architectural Tactic
Category: green-ml-enabled-systems
Tags: cloud  energy-efficiency  llm 

Title

Offload LLM Content Generation to Remote Server

Description

Shift the generation of LLM content from client devices to remote servers with high-performance hardware. This reduces the energy use on client devices, improves execution time, and ensures smoother user experience when privacy and offline access are not strict requirements.

Participant

Software architects and developers

Related software artifact

AI-powered applications

Context

Applications integrating LLMs on client devices

Software feature

Content generation using LLMs

Tactic intent

To reduce energy consumption on client devices by performing LLM inference on remote servers

Target quality attribute

Energy efficiency

Other related quality attributes

Performance, User experience, Privacy

Measured impact

Fetching from a remote server consumed 3.5×–8.9× less energy than on-device generation for 100, 500, and 1,000 word outputs

Source

Stoico, V., Malavolta, I. (2025). On-Device or Remote? On the Energy Efficiency of Fetching LLM-Generated Content (DOI: https://doi.org/10.1109/CAIN66642.2025.00016)


Graphical representation

  • Contact person
  • Patricia Lago (VU Amsterdam)
  •  disc at vu.nl
  •  patricialago.nl

The Archive of Awesome and Dark Tactics (AADT) is an initiative of the Digital Sustainability Center (DiSC). It received funding from the VU Amsterdam Sustainability Institute, and is maintained by the S2 Group of the Vrije Universiteit Amsterdam.

Initial development of the Archive of Awesome and Dark Tactics by Robin van der Wiel