I wonder if it makes sense to latch on the existing WG Batch, instead.WG Batch is already attended by the relevant leads from SIG Scheduling and SIG Autoscaling and SIG Node (more specifically, the folks involved in topology manager), as well as users generally interested in running AI and HPC workloads on Kubernetes.Furthermore, hardware support is already part of the charter https://github.com/kubernetes/community/blob/master/wg-batch/charter.md#deliverablesWe could consider adding an additional meeting at a different time so that we can better cover the members around the globe.AldoOn Mon, Nov 13, 2023 at 11:11 AM Kevin Klues <klu...@gmail.com> wrote:--
Dynamic Resource Allocation (DRA) was a hot topic at KubeCon last week. The primary reason being that DRA promises to unlock a whole host of use-cases that require fine-grained sharing and custom configuration of accelerated hardware in Kubernetes. If I had to pick a general, overall theme of this KubeCon it was "How do we make Kubernetes THE best platform for running LLMs and GenAI workloads?" -- and having access to the flexible resource management that DRA provides is a key component of this.
However, such flexibility comes at a cost (specifically as it pertains to scheduling and cluster auto-scaling), and that has raised questions that need to be addressed before moving DRA to beta (and eventually GA).
To help resolve these issues (and help move DRA forward in general), @pohly and I are going to create a formal WG for DRA with ourselves appointed as the "Organizers":
https://github.com/kubernetes/community/blob/master/committee-steering/governance/wg-governance.md#creation-process-description
More info (including a poll of when / how often people think we should meet) will be coming soon.
Looking forward to working with all of you more closely on this!Kevin & Patrick
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