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Architectural Context: This chapter focuses on ML optimization and deployment on edge devices (Jetson Orin Nano). The edge devices communicate with the cloud using the WebSocket + base64-encoded protobuf architecture established in Chapters 5, 7, 10, and 12. Model updates and health metrics follow the same protobuf pattern for consistency.

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Edge ML Optimization: Squeezing Blood from Silicon

  • 章节

  • 发表日期：

    2026年

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  • Dmytro Kozhevin

摘要

Architectural Context: This chapter focuses on ML optimization and deployment on edge devices (Jetson Orin Nano). The edge devices communicate with the cloud using the WebSocket + base64-encoded protobuf architecture established in Chapters 5, 7, 10, and 12. Model updates and health metrics follow the same protobuf pattern for consistency.