Authors: Elen Rafayelovna Sargsyan, Hayk Vahagnovich Ghazaryan,, Anzhela Viktorovna Grigoryan, Karen Samvelovich Melikyan, Tatevik Aramovna Harutyunyan
Abstract: The explosive growth of genomic and proteomic datasets has propelled bioinformatics into the enterprise computing domain, demanding scalable, secure, and high-performance infrastructure. Traditional physical server models have proven inadequate for managing the dynamic and compute-intensive nature of bioinformatics workflows. In response, AI-powered virtualization models are emerging as transformative solutions, combining intelligent workload orchestration with flexible virtual environments. This paper investigates how artificial intelligence enhances virtualization strategies in enterprise bioinformatics settings by enabling predictive resource allocation, automated fault detection, and real-time optimization. Through architectural analysis and case study evaluation, the research presents a practical framework for deploying AI-integrated virtual infrastructure that meets the evolving needs of large-scale biological computation.
