NUS IT manages and operates three (3) HPC systems, each designed with unique configurations to cater to a diverse range of computational workloads. These systems support research and academic needs across various disciplines, including AI, simulations, genomics, fluid dynamics, data analytics, and other scientific computations.

Each HPC system is optimized for specific use cases, offering different levels of compute power, storage capacity, and network latency, such as GPUs for deep learning and Infiniband for parallel computing.

Below, you will find detailed specifications of each system, including their hardware configurations and access procedures. Whether you are running large-scale simulations, training machine learning models, or conducting intensive data analysis, our HPC infrastructure is designed to support your computational needs efficiently.