chore(ci): try another gpu label

Signed-off-by: Matt Kornfield <mkornfield@nvidia.com>

Author: mckornfield

.github/workflows/gpu-tests.yml

@@ -61,7 +61,7 @@ jobs:
     needs: changes
     if: ${{ needs.changes.outputs.src == 'true' || needs.changes.outputs.test == 'true' || github.event_name == 'workflow_dispatch' }}
     timeout-minutes: 30
-    runs-on: nemo-ci-aws-gpu-x2
+    runs-on: nemo-ci-gcp-gpu-x2-container
     strategy:
       fail-fast: false
       matrix:
@@ -97,7 +97,7 @@ jobs:
     needs: changes
     if: ${{ needs.changes.outputs.src == 'true' || needs.changes.outputs.test == 'true' || github.event_name == 'workflow_dispatch' }}
     timeout-minutes: 55
-    runs-on: nemo-ci-aws-gpu-x2
+    runs-on: nemo-ci-gcp-gpu-x2-container
     steps:
       - name: checkout
         uses: actions/checkout@v6

docs/user-guide/troubleshooting.md

@@ -298,7 +298,7 @@ while the last 4 took an additional 93 seconds -- with a single prompt
 consuming 61 seconds and 1618 tokens on its own. The batch cannot return
 until the slowest prompt finishes. Run with `-v` to see vLLM's tqdm
 progress bar, which shows per-prompt completion rates and makes the tail
-effect visible. 
+effect visible.
 
 If this stage takes more than 10 minutes, you might need to train the model
 more or examine the training parameters.