Remote Build Execution and Cross-Compilation: Advancing Real-Time AI Appliance Development

Authors

  • Bhanu Kiran Kaithe Stellar Cyber, USA

DOI:

https://doi.org/10.32996/jcsts.2025.7.4.46

Keywords:

Remote Build Execution, Cross-Compilation, AI Appliance Development, Edge Computing Optimization, Distributed Systems

Abstract

This article examines the transformative impact of Remote Build Execution (RBE) and cross-compilation technologies in the development and deployment of real-time AI appliances. The article explores how these technologies address the growing challenges of software deployment across diverse computing environments, particularly in edge computing scenarios. By analyzing the implementation of distributed build systems and platform-specific optimizations, the study demonstrates significant improvements in development efficiency, resource utilization, and runtime performance. The article presents comprehensive findings on build system architecture, integration strategies, and performance optimization techniques, providing valuable insights for organizations developing AI applications. Through examination of real-world case studies and empirical analysis, this article establishes the effectiveness of combining RBE and cross-compilation approaches in bridging the gap between development environments and resource-constrained deployment targets.

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Published

2025-05-14

Issue

Section

Research Article

How to Cite

Bhanu Kiran Kaithe. (2025). Remote Build Execution and Cross-Compilation: Advancing Real-Time AI Appliance Development. Journal of Computer Science and Technology Studies, 7(4), 391-396. https://doi.org/10.32996/jcsts.2025.7.4.46