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Large Language Models consume excessive energy, raising environmental concerns.

A Mastodon user has criticized the energy waste associated with large language models (LLMs) in enterprise settings. The user highlighted instances of inefficient practices, such as wrapping small executables in massive Docker images and running extensive CI suites for minor changes. These practices, coupled with the over-provisioning of cloud resources for simple tasks, contribute to significant energy consumption. AI

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IMPACT Highlights the significant energy costs and potential environmental impact of LLM deployment in enterprise environments.

RANK_REASON The item is an opinion piece from a user on a social media platform discussing the environmental impact of LLMs.

Read on Mastodon — mastodon.social →

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 · [email protected] ·

    "What I need this company to understand is that LLMs waste a lot of energy." Wraps a 500kb executable in a 1GB Docker image "You really aren't considering the e

    "What I need this company to understand is that LLMs waste a lot of energy." Wraps a 500kb executable in a 1GB Docker image "You really aren't considering the externalities~"" Runs a full-repository CI suite on every change in a dedicated off-site cloud farm "The energy inefficie…