Innovations in Cloud Networking to Support Advanced AI and Large Language Model Deployments

Abstract

The deployment of advanced artificial intelligence (AI) applications and large language models (LLMs) necessitates innovative approaches in cloud networking to ensure optimal performance, scalability, and efficiency. This paper examines recent innovations in cloud networking that support the intensive computational and data requirements of LLMs and other sophisticated AI systems. Key areas of focus include enhanced network architectures, intelligent traffic management, and advanced resource allocation strategies. By integrating cutting-edge technologies such as software-defined networking (SDN), network function virtualization (NFV), and edge computing, these innovations address the unique challenges posed by AI workloads. The paper also explores real-world case studies to illustrate the practical benefits of these advancements in various industries, demonstrating how improved cloud networking solutions can lead to more effective and scalable AI deployments. This research aims to provide a comprehensive overview of the latest trends and future directions in cloud networking for AI, offering valuable insights for researchers, cloud service providers, and organizations leveraging AI technologies.