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Update AWS instance type in GPU unit tests workflow from g6.xlarge to g5.xlarge#465

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shi-eric merged 1 commit into
newton-physics:mainfrom
shi-eric:ershi/update-aws-instance-type
Jul 24, 2025
Merged

Update AWS instance type in GPU unit tests workflow from g6.xlarge to g5.xlarge#465
shi-eric merged 1 commit into
newton-physics:mainfrom
shi-eric:ershi/update-aws-instance-type

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@shi-eric

@shi-eric shi-eric commented Jul 23, 2025

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Description

It seems like we're having instance availability issues today with g6.xlarge

Newton Migration Guide

Please ensure the migration guide for warp.sim users is up-to-date with the changes made in this MR.

  • The migration guide in docs/migration.rst is up-to date

Before your PR is "Ready for review"

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  • Necessary tests have been added and new examples are tested (see newton/tests/test_examples.py)
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  • Code passes formatting and linting checks with pre-commit run -a

Summary by CodeRabbit

  • Chores
    • Updated the AWS EC2 instance type used for GPU tests in GitHub Actions workflows. This change does not affect test logic or results.

… g5.xlarge

Signed-off-by: Eric Shi <ershi@nvidia.com>
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coderabbitai Bot commented Jul 23, 2025

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📝 Walkthrough

Walkthrough

The AWS EC2 instance type specified for GPU test jobs in two GitHub Actions workflow files was updated from g6.xlarge to g5.xlarge. No other changes were made to workflow logic, environment variables, or job steps.

Changes

Files Change Summary
.github/workflows/pr_aws_gpu_tests.yml,
.github/workflows/push_aws_gpu_tests.yml
Updated EC2 instance type from g6.xlarge to g5.xlarge for GPU test jobs

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~2 minutes

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Reviewing files that changed from the base of the PR and between 5091199 and 8f038fd.

📒 Files selected for processing (2)
  • .github/workflows/pr_aws_gpu_tests.yml (1 hunks)
  • .github/workflows/push_aws_gpu_tests.yml (1 hunks)
🔇 Additional comments (2)
.github/workflows/push_aws_gpu_tests.yml (1)

6-6: Confirm region quota & AMI/driver compatibility for g5.xlarge.

The substitution is syntactically correct, but g5.xlarge has different GPU hardware (A10G 24 GB) than g6.xlarge (L4 24 GB).

  1. Double-check that the us-east-2 account has sufficient On-Demand quota for g5.xlarge; otherwise the workflow will still stall.
  2. The chosen “Deep Learning Base GPU Ubuntu 24.04” AMI should already include CUDA 12 drivers that support A10G, but verify that your test suite doesn’t rely on L4-specific features (SM 8.9 vs 8.6).
  3. Update any performance expectations/documentation accordingly (docs/migration.rst checklist).

No code change required—just a sanity check before merge.

.github/workflows/pr_aws_gpu_tests.yml (1)

6-6: Mirror the same verification for PR runs.

The change keeps both push/PR workflows in sync—good.
Replicate the quota and compatibility checks mentioned in the push-workflow comment to avoid PR-specific failures.

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@shi-eric shi-eric marked this pull request as ready for review July 24, 2025 00:30
@shi-eric shi-eric merged commit d050062 into newton-physics:main Jul 24, 2025
8 of 10 checks passed
@shi-eric shi-eric deleted the ershi/update-aws-instance-type branch July 24, 2025 00:30
@coderabbitai coderabbitai Bot mentioned this pull request Nov 14, 2025
4 tasks
vidurv-nvidia pushed a commit to vidurv-nvidia/newton that referenced this pull request Mar 6, 2026
# Description

Bumps Isaac Lab version to v2.2.0.

## Type of change

- This change requires a documentation update

## Checklist

- [x] I have run the [`pre-commit` checks](https://pre-commit.com/) with
`./isaaclab.sh --format`
- [x] I have made corresponding changes to the documentation
- [x] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my
feature works
- [ ] I have updated the changelog and the corresponding version in the
extension's `config/extension.toml` file
- [ ] I have added my name to the `CONTRIBUTORS.md` or my name already
exists there

<!--
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