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In-person
November 12-15
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Please note: This schedule is automatically displayed in Mountain Standard Time (UTC -7). To see the schedule in your preferred timezone, please select from the drop-down menu to the right, above "Filter by Date." The schedule is subject to change and session seating is available on a first-come, first-served basis. 
Thursday November 14, 2024 5:25pm - 6:00pm MST
Pods are no longer running with just CPU and Memory. We provision GPUs, network cards, request special placement of those devices and allocated memory. And the more efficient or effective you want your set up to be, the more complicated those device requirements are, the more chances you will hit an edge case Kubernetes has not accounted for yet. Come to the talk to learn from Node Maintainers about some of those shortcomings in Kubernetes. If you are only starting with AI/ML and devices, you will be interested to learn what to expect. If you have lots of experience, you may still learn new things. With the increased focus on AI/ML workloads, highlighting those scenarios is important. As Kubernetes plans to fix those problems, you can give feedback on what would work best for you.
Speakers
avatar for Sergey Kanzhelev

Sergey Kanzhelev

Staff Software Engineer, Google
Sergey Kanzhelev is a seasoned open source and cloud native maintainer working actively on Kubernetes. Sergey is serving as co-chair of SIG node. He is also one of the founders of OpenTelemetry. He is working on engineering aspect of software and its practical application. He is contributing... Read More →
avatar for Mrunal Patel

Mrunal Patel

Distinguished Engineer, Red Hat
Mrunal Patel is a Senior Principal Software Engineer at Red Hat working on containers for Openshift. He is a maintainer of runc/libcontainer and the OCI runtime specification. He started the CRI-O runtime. He is a SIG-Node chair and tech lead.
Thursday November 14, 2024 5:25pm - 6:00pm MST
Salt Palace | Level 2 | 250 AD
  AI + ML
  • Content Experience Level Any

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