diff --git a/.github/workflows/nv-inference.yml b/.github/workflows/nv-inference.yml
index 0cbe212666de..a24376c8973d 100644
--- a/.github/workflows/nv-inference.yml
+++ b/.github/workflows/nv-inference.yml
@@ -32,7 +32,7 @@ jobs:
 
       - name: Install pytorch
         run: |
-          pip install -U --cache-dir $TORCH_CACHE torch==2.1.2 torchvision==0.16.2 --extra-index-url https://download.pytorch.org/whl/cu118
+          pip install -U --cache-dir $TORCH_CACHE torch==2.1.2 torchvision==0.16.2 --index-url https://download.pytorch.org/whl/cu118
           python -c "import torch; print('torch:', torch.__version__, torch)"
           python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
 
diff --git a/.github/workflows/nv-nightly.yml b/.github/workflows/nv-nightly.yml
index 16100cafe87d..e540b5acaf33 100644
--- a/.github/workflows/nv-nightly.yml
+++ b/.github/workflows/nv-nightly.yml
@@ -25,7 +25,7 @@ jobs:
 
       - name: Install pytorch
         run: |
-          pip install -U --cache-dir $TORCH_CACHE torch==1.13.1 torchvision --extra-index-url https://download.pytorch.org/whl/cu116
+          pip install -U --cache-dir $TORCH_CACHE torch==1.13.1 torchvision --index-url https://download.pytorch.org/whl/cu116
           python -c "import torch; print('torch:', torch.__version__, torch)"
           python -c "import torch; print('CUDA available:', torch.cuda.is_available())"
 
diff --git a/.github/workflows/nv-torch-latest-cpu.yml b/.github/workflows/nv-torch-latest-cpu.yml
index 4075a46ec913..60f9332f835d 100644
--- a/.github/workflows/nv-torch-latest-cpu.yml
+++ b/.github/workflows/nv-torch-latest-cpu.yml
@@ -29,7 +29,7 @@ jobs:
 
       - name: Install pytorch
         run: |
-          pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cpu
+          pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu
           python -c "import torch; print('torch:', torch.__version__, torch)"
           python -c "import torch; print('CUDA available:', torch.cuda.is_available())"