Sustainable Computing for Green Labs: Designing Energy-Efficient AI Models with 25 Hands-On Exercises: Building Eco-Friendly AI Solutions through Practical Energy-Conscious Design Projects

Burn, Richard

ISBN 13: 9798268161106

Published by Independently published, 2025

About this Item

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Seller Inventory # I-9798268161106

Bibliographic Details

• Title: Sustainable Computing for Green Labs: Designing Energy-Efficient AI Models with 25 Hands-On Exercises: Building Eco-Friendly AI Solutions through Practical Energy-Conscious Design Projects
• Publisher: Independently published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798268161106
• Binding: Soft cover
• Condition: New

About this title

Synopsis

❓What if building the next breakthrough in AI didn’t have to cost the Earth?
❓What if you could design powerful models that run faster, cheaper, and greener—all while future-proofing your career?

Sustainable Computing for Green Labs: Designing Energy-Efficient AI Models with 25 Hands-On Exercises is your practical roadmap to mastering eco-friendly AI. Written for programmers, data scientists, and researchers, this book combines cutting-edge theory with 25 guided projects that take you step-by-step from energy measurement to building fully optimized green AI systems.

Inside, you’ll discover:

• How AI consumes energy—and where the biggest hidden costs lie in data pipelines, training, and inference.
• Proven efficiency strategies—from pruning and quantization to lightweight architectures and federated learning.
• Green hardware and cloud setups—make the right choices for maximum performance with minimum footprint.
• Ethical and lifecycle insights—understand carbon accounting, fairness, and long-term sustainability.
• 25 portfolio-ready projects—complete exercises with real code, datasets, and tools like TensorFlow, PyTorch, and CodeCarbon.

Whether you’re setting up a personal green lab, preparing for the future of AI jobs, or seeking to align your work with environmental goals, this book gives you the skills to build models that are not only smarter—but responsible.

🌎 Why this matters: AI is one of the most energy-hungry technologies of our time, yet energy-efficient models are faster, cheaper, and increasingly demanded by industry. Mastering sustainable AI means saving money, improving performance, and contributing to a cleaner planet.

👉 Don’t just build AI. Build AI that lasts.
Add Sustainable Computing for Green Labs to your cart today and join the green computing revolution!