diff --git a/js/node/script/install.js b/js/node/script/install.js
index b15bc03840599..fef93f9169a2c 100644
--- a/js/node/script/install.js
+++ b/js/node/script/install.js
@@ -21,6 +21,7 @@ const os = require('os');
 const fs = require('fs');
 const path = require('path');
 const tar = require('tar');
+const { execFileSync } = require('child_process');
 const { Readable } = require('stream');
 
 // commandline flag:
@@ -58,10 +59,23 @@ if (NO_INSTALL || !shouldInstall) {
 
 // Step.2: Download the required binaries
 const artifactUrl = {
-  11: `https://github.com/microsoft/onnxruntime/releases/download/v${ORT_VERSION}/onnxruntime-linux-x64-gpu-${
-    ORT_VERSION
-  }.tgz`,
-  12: `https://github.com/microsoft/onnxruntime/releases/download/v${ORT_VERSION}/onnxruntime-linux-x64-gpu-cuda12-${
+  get 11() {
+    // TODO: support ORT Cuda v11 binaries
+    throw new Error(`CUDA 11 binaries are not supported by this script yet.
+
+To use ONNX Runtime Node.js binding with CUDA v11 support, please follow the manual steps:
+
+1. Use "--onnxruntime-node-install-cuda=skip" to skip the auto installation.
+2. Navigate to https://aiinfra.visualstudio.com/PublicPackages/_artifacts/feed/onnxruntime-cuda-11
+3. Download the binaries for your platform and architecture
+4. Extract the following binaries to "node_modules/onnxruntime-node/bin/napi-v3/linux/x64:
+   - libonnxruntime_providers_tensorrt.so
+   - libonnxruntime_providers_shared.so
+   - libonnxruntime.so.${ORT_VERSION}
+   - libonnxruntime_providers_cuda.so
+`);
+  },
+  12: `https://github.com/microsoft/onnxruntime/releases/download/v${ORT_VERSION}/onnxruntime-linux-x64-gpu-${
     ORT_VERSION
   }.tgz`,
 }[INSTALL_CUDA_FLAG || tryGetCudaVersion()];
@@ -108,9 +122,27 @@ Use "--onnxruntime-node-install-cuda=skip" to skip the installation. You will st
 function tryGetCudaVersion() {
   // Should only return 11 or 12.
 
-  // TODO: try to get the CUDA version from the system ( `nvcc --version` )
+  // try to get the CUDA version from the system ( `nvcc --version` )
+  let ver = 12;
+  try {
+    const nvccVersion = execFileSync('nvcc', ['--version'], { encoding: 'utf8' });
+    const match = nvccVersion.match(/release (\d+)/);
+    if (match) {
+      ver = parseInt(match[1]);
+      if (ver !== 11 && ver !== 12) {
+        throw new Error(`Unsupported CUDA version: ${ver}`);
+      }
+    }
+  } catch (e) {
+    if (e?.code === 'ENOENT') {
+      console.warn('`nvcc` not found. Assuming CUDA 12.');
+    } else {
+      console.warn('Failed to detect CUDA version from `nvcc --version`:', e.message);
+    }
+  }
 
-  return 11;
+  // assume CUDA 12 if failed to detect
+  return ver;
 }
 
 function parseInstallCudaFlag() {