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The role of Artificial Intelligence (AI) in research and education continues to rapidly grow, resulting in increased collaboration between researchers in AI and Research Computing and Data (RCD) professionals to meet the research and teaching demands. RCD professionals bridge the gap between research and technology by guiding and collaborating with researchers and educators through the process of selecting the hardware, software, and services best suited for executing their AI projects. This includes ensuring compliance with funding and regulatory requirements across the entire lifecycle of the project. In this paper, we present an overview of the AI project lifecycle and how RCD professionals can facilitate its execution. 

Arm HPC has succeeded in scaling up in the supercomputing space with the deployment of systems like RIKEN’s Fugaku supercomputer and Sandia’s Astra cluster. At the same time, the onboarding of new users to the Arm HPC ecosystem has never been more complex due to an overabundance of compilers, libraries, and build options for tools and applications. This work investigates one particular method to ease the integration of new users into the space of Arm HPC through the use of Open OnDemand to provide a consistent and easy-to-use front-end for Georgia Tech’s A64FX cluster, Octavius. We detail the motivations for this deployment as well as the potential pitfalls in integrating with an Arm A64FX environment. User-motived applications that incorporate the interactive usage of virtual desktops and Jupyter notebooks are discussed as motivating user workflows, and we provide some context on how future deployments might look with combined Arm and Open OnDemand integration.