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HPC Consult Ticket Analysis with SambaNova
DescriptionThe HPC division at Los Alamos National Laboratory employs specialized consultants who function as a conduit between users and the computing environment. The division uses a legacy ticketing system that tracks user issues and interactions with consultants. With over 100,000 tickets and decades of interactions there is an amazing amount of useful information within those tickets however, the ticket system makes it difficult to get that information out. The consultants want to know how this underutilized data can be used to better understand and serve their users. This project addresses their concerns by developing an AI-powered web application that provides a comprehensive analysis of consult tickets. The web application analyzes tickets with inference provider SambaNova to deliver fast inference on open-source large language models. This approach readily identifies user sentiment and ticket trends, determines the most recurring issues users face, like recurring I/O bottlenecks, and provides support through multiple functions.