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UID:pretalx-good-2026-AWC8QJ@pretalx.com
DTSTART;TZID=MST:20260310T113000
DTEND;TZID=MST:20260310T115500
DESCRIPTION:We share how we built LLM inference services for researchers at
  Ohio Supercomputer Center (OSC) using Open OnDemand. Our users need LLMs 
 in many different ways\, so we support several service models. We started 
 with an Ollama module on the cluster\, added OpenWebUI\, and later created
  dedicated OnDemand apps that start the LLM server and give users a simple
  interface. We also provide a Jupyter + Ollama app that exposes an OpenAI 
 API interface in a Jupyter kernel. We maintain shared models so users can 
 start quickly\, while still allowing local models. We have also deployed t
 he Ollama + OpenWebUI service on our Kubernetes cluster\, but scaling it f
 or a large number of users remains a challenge. We plan to add additional 
 LLM engines and front-ends as part of our future improvements as well.
DTSTAMP:20260619T081719Z
LOCATION:Main Hall
SUMMARY:Building LLM Inference Services for Researchers on HPC with Open On
 Demand - Heechang Na [Ohio Supercomputer Center]
URL:https://pretalx.com/good-2026/talk/AWC8QJ/
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