International Journal on Science and Technology

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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
Cite This LLMOps: A Comprehensive Guide to Deploying Large Language Models in Production - Satya Naga Mallika Pothukuchi - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2412
DOI https://doi.org/10.71097/IJSAT.v16.i1.2412
Short DOI https://doi.org/g88sb5
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