Converging High-Performance Computing, Artificial Intelligence, and Intelligent Workflows for Next-Generation Innovation

The increasing intricacy of scientific simulations and industrial activity processes along with their accompanying datasets demand ecosystems outside the capabilities of traditional High-Performance Computing (HPC) systems [1] [2] [3] [4] [6] [5] [7]. The requirements of contemporary research and industries based on data are multidisciplinary, as computations using traditional HPC await a solution. Recently, attention has been drawn towards harnessing the computational power of AI facilities to relieve HPC systems as the fusion of intelligence reveals new adaptive workflows that integrate HPC and AI capabilities. This evolution in thinking gives rise not only to an emergent paradigm for an AI-powered HPC but also to the trans- formational approach of the HPC-AI Workflow Platform that in- corporates synergistic and intelligent orchestration workflows. In this paper, we introduce the HPC-AI Workflow Platform, which catalyzes collaborative innovation with its innovative Workflow-as-a-Service (WaaS) model, facilitating effortless cross-domain sharing and reuse of workflows, boosting operational efficiency. They are further enabled with AI for real-time decision-making and optimization, smart resource allocation, big data analytics, and seamless data flow for the timely and energy-efficient execution of complex simulations, enhancing HPC productivity. This not only demonstrates the efficacy of the HPC-AI Workflow Platform in resourceful workflow optimization and management but also strengthens its position as a future-ready paradigm to advance HPC application relevance in science and industry.