removes nvidia references from unit test workflow

Signed-off-by: James Kunstle <jkunstle@redhat.com>

Author: James Kunstle

…hub/workflows/unittesting-ci-nvidia.yaml .github/workflows/unit-tests.yaml.github/workflows/unittesting-ci-nvidia.yaml renamed to .github/workflows/unit-tests.yaml .github/workflows/unittesting-ci-nvidia.yaml renamed to .github/workflows/unit-tests.yaml

@@ -1,6 +1,6 @@
 # SPDX-License-Identifier: Apache-2.0
 
-name: "Run 'fast' marked unit tests via Tox::pytest"
+name: "Run unit tests via Tox::pytest"
 # This tests should run only those tests that are marked as 'fast.'
 # The opposite are those that would require the mark 'slow,' which would
 # include longer-running integration and smoke tests.
@@ -19,8 +19,7 @@ on:
 
 env:
   pytest_mark: "fast"
-  ec2_runner_variant: "g4dn.12xlarge" # T4 machine that would support an nvidia-smi call.
-  # ec2_runner_variant: "m7i.xlarge" # 4 Xeon CPU, 16GB RAM
+  ec2_runner_variant: "m7i.xlarge" # 4 Xeon CPU, 16GB RAM
 
 jobs:
   start-ec2-runner:
@@ -84,13 +83,6 @@ jobs:
         with:
           fetch-depth: 0
 
-      - name: "Verify environment variables are setup correctly"
-        run: |
-          export CUDA_HOME="/usr/local/cuda"
-          export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64"
-          export PATH="$PATH:$CUDA_HOME/bin"
-          nvidia-smi
-
       # installs in $GITHUB_WORKSPACE/venv.
       # only has to install Tox because Tox will do the other virtual environment management.
       - name: "Setup Python virtual environment"