KEP - GPUTopologyAware plugin
Area
- [X] Scheduler
- [ ] Controller
- [ ] Helm Chart
- [ ] Documents
Other components
No response
What happened?
GPU communication bandwidth is affected a lot by the P2P link type, broader known as PCIe vs NVLink . As an user, I hope my GPU accelerated workloads can be placed with the best effort allocations between GPUs and nodes across the cluster, which will speed up the experimental a lot.
/kind feature
What did you expect to happen?
Best effort GPU allocation among a set of GPUs
How can we reproduce it (as minimally and precisely as possible)?
No response
Anything else we need to know?
No response
Kubernetes version
None
Scheduler Plugins version
None
/remove-kind bug
/cc
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/lifecycle stale
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/close not-planned
@k8s-triage-robot: Closing this issue, marking it as "Not Planned".
In response to this:
The Kubernetes project currently lacks enough active contributors to adequately respond to all issues and PRs.
This bot triages issues according to the following rules:
- After 90d of inactivity,
lifecycle/staleis applied- After 30d of inactivity since
lifecycle/stalewas applied,lifecycle/rottenis applied- After 30d of inactivity since
lifecycle/rottenwas applied, the issue is closedYou can:
- Reopen this issue with
/reopen- Mark this issue as fresh with
/remove-lifecycle rotten- Offer to help out with Issue Triage
Please send feedback to sig-contributor-experience at kubernetes/community.
/close not-planned
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Will revisit this once finished other work, FYI: DRA will support this IIRC.