LLMOps: A Comprehensive Guide to Deploying Large Language Models in Production

Author(s)	Satya Naga Mallika Pothukuchi
Country	United States
Abstract	This article explores the evolving landscape of Large Language Models (LLM) deployment in production environments, focusing on the challenges and solutions in implementing enterprise-scale LLM operations. The article examines the transformation from traditional deployment approaches to modern edge-centric implementations, highlighting the importance of structured planning methodologies and robust infrastructure design. The article investigates optimization strategies for resource utilization, security frameworks, and monitoring systems essential for successful LLM deployments. Through enterprise implementations across various sectors, the article provides insights into best practices for achieving optimal performance, maintaining security compliance, and ensuring operational efficiency. The article demonstrates the critical role of systematic approaches in reducing deployment complexities while enhancing model performance and resource utilization in production environments.
Keywords	LLMOps (Large Language Model Operations), Edge Computing Infrastructure, Model Serving Optimization, Enterprise Security Compliance, Resource Management Systems
Field	Computer
Published In	Volume 16, Issue 1, January-March 2025
Published On	2025-03-13
DOI	https://doi.org/10.71097/IJSAT.v16.i1.2412

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International Journal on Science and Technology