Description
The purpose of this study was to gain a better understanding of the return on investments made by AI/HPC across critical science and engineering verticals. Key goals included creating a picture of investment expectations, snapshots of current integration projects in progress, budget allocations, provisioning methods, future plans, and challenges involving achieving desired goals in these areas. The report reveals a strategic shift among high-performance computing (HPC) and scientific users in their approach to generative AI integration. While continuing a pace of relatively rapid expansion, organizations are now focused on refining existing implementations and responding more deliberately to success metrics, whether by scaling, maintaining, or redirecting their efforts.
