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UID:pretalx-devconf-us-2025-CLJNX8@pretalx.devconf.info
DTSTART;TZID=EST:20250920T094000
DTEND;TZID=EST:20250920T101500
DESCRIPTION:We hear from customers around the world that their ability to c
 reate value for their end customers\, both internal and external\, depends
  on your ability to deliver applications and services faster. \n\nContaine
 rs and Kubernetes fundamentally enable DevOps\, microservices\, AI/ML and 
 cloud-native application development\, and which is deployed across the hy
 brid cloud. Red Hat Enterprise Linux (RHEL) bootc images enable you to bui
 ld\, deploy\, and manage the operating system as if it is any other contai
 ner. You can converge on a single container-native workflow to manage ever
 ything from your applications to the underlying OS.\n\nIn this presentatio
 n you will learn how to use image mode for RHEL to build\, test\, and depl
 oy operating systems by using the same tools and techniques as application
  containers. Image mode for RHEL uses the same tools\, skills\, and patter
 ns as containerized applications to deliver an operating system that is ea
 sy to build\, ship\, and run. This presentation will cover the concepts be
 hind image mode and help introduce foundational concepts required to packa
 ge operating systems in Open Container Initiative (OCI) container images.\
 n\nWe will also introduce artificial intelligence (AI) concepts\, models\,
  and application recipes to allow users to explore how to package AI tools
  as containers and prepare them for installation as a bootable container i
 mage.\n\nThis presentation is appropriate for developers\, system administ
 rators\, and data scientists interested in building and packaging AI tools
 . You'll learn and understand the concepts behind RHEL image mode.
DTSTAMP:20260310T062317Z
LOCATION:101 (Capacity 48)
SUMMARY:Image mode for AI inference across the hybrid cloud - Mayur Shetty\
 , David Duncan
URL:https://pretalx.devconf.info/devconf-us-2025/talk/CLJNX8/
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