Hybrid Cloud

Hybrid cloud computing combines on-premises infrastructure with multiple public cloud services to optimize resource utilization and cost-effectiveness for computationally intensive tasks, particularly in areas like AI model training and large-scale data analytics. Current research emphasizes efficient task scheduling and resource allocation across diverse environments, often incorporating privacy-preserving techniques for sensitive data, such as medical images. This approach is proving crucial for accelerating scientific discovery and enabling the deployment of advanced applications, including generative AI and large language models, while addressing scalability and cost challenges.