Scientific Computing

Academic Technology provides centrally managed computational infrastructure to support faculty and student research. Researchers can choose between High-Performance Computing (HPC) for large-scale simulations, parallel processing, and full GPU workloads, or Research Virtual Machines (VMs) for persistent Linux environments with customizable CPU, memory, and storage. HPC is best suited for intensive computational workflows, while VMs are ideal for moderate analysis, research applications, and long-running environments.