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green-computing

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This topic gathers projects that exemplify or help to provide green computing. Green software is engineered to reduce energy consumption, which considers factors like algorithmic and language efficiency, networking, storage footprint, compute requirements, and so forth. Some projects follow great green software practices that should be highlighted; others help the rest of the world greenify their own code. The projects collected here are a mix of both.

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ksm26 / Carbon-Aware-Computing-for-GenAI-Developers

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Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.

google-cloud cloud-computing green-computing carbon-footprint model-training clean-energy environmental-impact carbon-intensity sustainable-ai genai carbon-aware-computing low-carbon-energy real-time-electricity-data electricitymaps machine-learning-optimization energy-efficient-ml
  • Updated Jul 15, 2024
  • Jupyter Notebook
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