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Fixed deployment options in Compute Engine and cluster credentials in… #544

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Merged
merged 2 commits into from
Apr 9, 2025
Merged

Fixed deployment options in Compute Engine and cluster credentials in… #544

merged 2 commits into from
Apr 9, 2025

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jayavenkatesh19
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@jayavenkatesh19 jayavenkatesh19 commented Apr 9, 2025 •
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Making changes to docs based on observations from deployment testing:

  1. Added the port 22 to the firewall rule to allow for SSH access on Compute Engine VM
  2. Added the code snippet to get cluster credentials after creating a cluster on GKE, which is necessary for kubectl NVIDIA driver install
  3. Pinning a working configuration for Sagemaker, which can be reverted back to templating once the Sagemaker support for GLIBC 2.28 is up. [AWS] SageMaker: RAPIDS 25.02 conda packages cannot be installed on Notebook Instances (requires GLIBC 2.28+) #520

@jayavenkatesh19 jayavenkatesh19 requested a review from a team as a code owner April 9, 2025 15:50
jacobtomlinson
jacobtomlinson approved these changes Apr 9, 2025
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Looks great thanks!

source/cloud/aws/sagemaker.md
@@ -41,7 +41,7 @@ set -e

sudo -u ec2-user -i <<'EOF'

mamba create -y -n rapids {{ rapids_conda_channels }} {{ rapids_sagemaker_conda_packages }} \
mamba create -y -n rapids -c rapidsai -c conda-forge -c nvidia rapids=24.12 python=3.12 cuda-version=12.4 \
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Let's make a note to revert this once Sagemaker no longer has an upper limit on these values

@jacobtomlinson jacobtomlinson merged commit 557be62 into rapidsai:main Apr 9, 2025
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