AI inference at the edge using OpenShift AI
Understanding edge to core data pipelines to train future AI/ML models
Red Hat OpenShift AI demo
Red Hat's AI platform enables the development and deployment of models across the public cloud data center and edge. It manages cluster resource requests such as scaling up and down GPUs and fosters collaboration between developers and data scientists. All by expanding the DevOps tooling provided within OpenShift providing additional capabilities such as model serving and monitoring from a central location.
主讲人
Chris Chase | Principal Marketing Manager, Red Hat
Chris Chase is a principal technical marketing manager in the Red Hat Artificial Intelligence Business Unit where he is in charge of emerging release readiness and critical customer engagements. He has worked on operationalizing AI Models on OpenShift for the past 7 years and has a diverse background working for Red Hat, Protolabs, LexisNexis, and the U.S. Army.