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Test with GPU and m+t4
machines
#533
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casperdcl
reviewed
Apr 27, 2022
Co-authored-by: Casper da Costa-Luis <casper.dcl@physics.org>
casperdcl
reviewed
Apr 27, 2022
casperdcl
reviewed
Apr 27, 2022
@iterative/cml, ready for merging? 🚀 |
DavidGOrtega
approved these changes
Apr 27, 2022
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👍
I do not have tested it nor know if the images are OK. Everything looks fine to me so far
This was referenced Apr 27, 2022
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Labels
cloud-common
Applies to every cloud vendor
p1-important
High priority
resource-task
iterative_task TF resource
testing
Unit tests & debugging
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This pull request replaces the official NVIDIA NGC images (#384, #410) by the ones offered by cloud providers. Now
image = "nvidia"
uses the images described in #410 (comment).It also removes the fine–grained GPU selectors for Kubernetes, because AKS only provides
accelerator=nvidia
with the node labels, and it's not possible to set that label when creating the cluster.A solution we can implement, post–release and once tests are green, is weighted affinity, prioritizing the exact GPU model but tolerating any NVIDIA GPU device to avoid errors.
k8s
with NVIDIA K80 until Azure lifts the quota restrictions; then, nodes should be moved toStandard_NC4as_T4_v3