LLMOps: A Comprehensive Guide to Deploying Large Language Models in Production
Year: 2025
Type: article
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.
Author: Satya Naga Mallika Pothukuchi -
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4408583045