ci: use local NVIDIA wheels to avoid re-downloading ~2GB every CI run (#22602)

Co-authored-by: Alison Shao <alison.shao@MacBook-Pro-D2W773R9CD.local>

scripts/ci/cuda/cache_nvidia_wheels.sh

@@ -2,15 +2,22 @@
 # Cache and pre-install nvidia wheels that torch pins.
 #
 # pypi.nvidia.com returns Cache-Control: no-store, so pip re-downloads
-# cudnn (~707 MB) and nvshmem (~125 MB) on every CI run. This script
+# ~2 GB of NVIDIA wheels on every CI run. This script:
-# caches the wheels locally and installs them so that the subsequent
+# 1. Caches cudnn + nvshmem wheels locally and pre-installs them
-# `pip install -e "python[dev]"` sees "Requirement already satisfied".
+# 2. Points pip at a local wheel directory via PIP_FIND_LINKS so that
+#    all NVIDIA torch dependencies (cublas, cufft, nvrtc, etc.) are
+#    installed from local files instead of re-downloading.
+#
+# Pre-cache the wheels on the host at /opt/ci-cache/nvidia-pip-wheels/
+# (mounted as /root/.cache/nvidia-pip-wheels inside containers).
+# See the 5090 ops guide post-reboot checklist for how to populate this.
 #
 # Integrity: uses `unzip -t` to detect partial/corrupt downloads.
 #
 # Usage: source scripts/ci/cuda/cache_nvidia_wheels.sh
 
 NVIDIA_WHEEL_CACHE="/root/.cache/nvidia-wheels"
+NVIDIA_PIP_WHEELS="/root/.cache/nvidia-pip-wheels"
 mkdir -p "$NVIDIA_WHEEL_CACHE"
 
 for url in \
@@ -22,3 +29,10 @@ done
 
 pip install --no-deps "$NVIDIA_WHEEL_CACHE"/nvidia_cudnn_cu12-*.whl \
     "$NVIDIA_WHEEL_CACHE"/nvidia_nvshmem_cu12-*.whl 2>/dev/null || true
+
+# If pre-cached NVIDIA pip wheels exist, tell pip to check there first.
+# This avoids re-downloading ~2 GB of cublas/cufft/nvrtc/etc. every run
+# (pypi.nvidia.com sends Cache-Control: no-store).
+if [ -d "$NVIDIA_PIP_WHEELS" ] && ls "$NVIDIA_PIP_WHEELS"/*.whl &>/dev/null; then
+    export PIP_FIND_LINKS="${PIP_FIND_LINKS:+$PIP_FIND_LINKS }$NVIDIA_PIP_WHEELS"
+fi