Edge AI with Transformers: Deploying and Optimizing LLMs on Raspberry Pi and ARM Devices : Build RealWorld ONNX Pipelines, Apply INT8 Quantization, and Unlock Fast, Efficient Inference Anywhere - Softcover

Gabe, Avis

Softcover

ISBN 13: 9798266890879

Verlag: Independently published, 2025

Inhaltsangabe

Edge AI with Transformers: Deploying and Optimizing LLMs on Raspberry Pi and ARM Devices

What if you could put the power of advanced language models and cutting-edge AI in the palm of your hand—no cloud required? Developers and innovators everywhere are asking: Can I actually run real transformer models on affordable edge hardware like Raspberry Pi? And will it be fast, accurate, and reliable enough for real-world applications?

This book is your definitive answer.

Edge AI with Transformers delivers an actionable, hands-on blueprint for building, optimizing, and deploying transformer-based large language models on resource-constrained devices. If you’re tired of generic theory and want proven, field-tested workflows that work on actual hardware, this guide is written for you. Go beyond hype and see exactly how to convert PyTorch models to ONNX, quantize for speed and efficiency, and run blazing-fast inference on ARM platforms—whether you’re launching a personal assistant, smart IoT solution, or next-generation embedded system.

Inside, you’ll master:

• The exact model export pipelines (PyTorch to ONNX) that power real edge deployments

• Step-by-step quantization techniques for dramatic reductions in memory and latency—without sacrificing accuracy

• Tuning tricks for squeezing maximum throughput and minimum power use from Raspberry Pi, Jetson, and custom ARM boards

• Building and benchmarking reproducible pipelines, with everything version-pinned and ready to replicate

• Debugging and troubleshooting strategies used by top edge AI engineers in production

You’ll discover how to:

• Set up a reproducible development environment for any edge platform

• Solve the practical challenges of exporting, quantizing, and running LLMs locally

• Analyze and boost inference speed, manage memory, and avoid common pitfalls

• Package your solution with containers, automate model updates, and secure your deployment

• Apply your skills to real case studies: from text classification to generative AI—all running at the edge

Stop waiting for the cloud. Transform how you build, deploy, and scale intelligent systems by putting powerful AI right where you need it—on the device itself.

Ready to move your AI from theory to hardware? Grab your copy of Edge AI with Transformers and build the future at the edge—today.

Details zur Ausgabe

• Verlag: Independently published
• Erscheinungsdatum: 2025
• Sprache: Englisch
• ISBN 13: 9798266890879
• Einband: Taschenbuch
• Anzahl der Seiten: 192
• Kontakt zum Hersteller: Manufactured by Amazon on behalf of the author; https://www.amazon.de/hz/contact-us; ; c/o Amazon Media EU S.à.r.l., 38 Avenue John F. Kennedy; Luxembourg; L-1855; Luxemburg