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Use ML images with correct CUDA versions #1772

Merged
merged 1 commit into from
Oct 14, 2022
Merged

Use ML images with correct CUDA versions #1772

merged 1 commit into from
Oct 14, 2022

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Brings in pangeo-data/pangeo-docker-images#389

Based on pangeo-data/pangeo-docker-images#390, start making T4 the default. Folks can still use K80 if they want.

This makes it easier to use CUDA based GPU accelerated code.

Follow-up to #1766

@yuvipanda yuvipanda requested a review from a team October 14, 2022 03:32
@yuvipanda yuvipanda mentioned this pull request Oct 14, 2022
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Use ML images with correct CUDA versions
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Brings in pangeo-data/pangeo-docker-images#389

Based on pangeo-data/pangeo-docker-images#390,
start making T4 the default. Folks can still use K80 if they want.

This makes it easier to use CUDA based GPU accelerated code.

Follow-up to 2i2c-org#1766
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Merging this PR will trigger the following deployment actions.

Support and Staging deployments

Cloud Provider Cluster Name Upgrade Support? Reason for Support Redeploy Upgrade Staging? Reason for Staging Redeploy
gcp m2lines No Yes Following helm chart values files were modified: common.values.yaml
gcp leap No Yes Following helm chart values files were modified: common.values.yaml

Production deployments

Cloud Provider Cluster Name Hub Name Reason for Redeploy
gcp m2lines prod Following helm chart values files were modified: common.values.yaml
gcp leap prod Following helm chart values files were modified: common.values.yaml

@yuvipanda yuvipanda merged commit d9d36cb into 2i2c-org:master Oct 14, 2022
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🎉🎉🎉🎉

Monitor the deployment of the hubs here 👉 https://github.com/2i2c-org/infrastructure/actions/runs/3251451663

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@sgibson91 sgibson91 sgibson91 approved these changes

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