AI-Driven Virtualization: Optimizing Resource Utilization in Modern Data CentersRaja Venkata Sandeep Reddy Davu

Data centres are using AI to improve network and resource management to satisfy market needs for apps and tasks. AI-driven virtualization improves data centre resource utilisation, network agility, security, and compliance. AI-driven virtualization transformed data centre management. These changes improve data centre reliability, efficiency, and scalability. Data centre administrators may optimise resource distribution, network traffic balancing, and workload demand estimation with AI and ML to improve performance and lower costs. AI-supported virtualization optimises resource use by dynamically assigning computing, networking, and storage resources based on workload and demand. Use predictive analytics and dynamic resource allocation to improve data centre design and reduce waste and costs. AI-driven virtualization helps businesses adapt to changing workloads. Virtualization capabilities like autonomous provisioning, predictive maintenance, and self-healing can help data centre infrastructure manage unpredictable workloads and events. AI makes virtualization possible for modern data centres, which is essential for security and compliance. Advanced algorithms in AI security systems detect and analyse suspicious tendencies to protect important data. AI-powered compliance management improves industry standards and data security. AI-driven virtualization has advanced data centres, as evidenced by real-world examples and case studies. AI driven virtualization improves data centre efficiency, saves money, and ensures compliance, paving the way for digital innovation and progress.