Add CUDA 12 instructions to get started table (#20170)

Get Started table currently only includes instructions for
Windows/Python/X64/CUDA and Linux/Python/X64/CUDA for (default) CUDA
11.8. Updating to include installation instructions for CUDA 12.X as
well.

src/routes/getting-started/table.svelte

@@ -77,31 +77,31 @@
 	const TrainingBuildIds = ['ot_stable', 'ot_nightly'];
 	const validCombos = {
 		'windows,C-API,X64,CUDA':
-			"Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a> <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"For CUDA 11.X (default): Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a>. <br/>For CUDA 12.X: Follow instructions <a class='text-blue-500' href='https://onnxruntime.ai/docs/install/#install-onnx-runtime-gpu-cuda-12x-1' target='_blank'>here</a>. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'windows,C++,X64,CUDA':
-			"Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a> <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"For CUDA 11.X (default): Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a>. <br/>For CUDA 12.X: Follow instructions <a class='text-blue-500' href='https://onnxruntime.ai/docs/install/#install-onnx-runtime-gpu-cuda-12x-1' target='_blank'>here</a>. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'windows,C#,X64,CUDA':
-			"Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a> <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"For CUDA 11.X (default): Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a>. <br/>For CUDA 12.X: Follow instructions <a class='text-blue-500' href='https://onnxruntime.ai/docs/install/#install-onnx-runtime-gpu-cuda-12x-1' target='_blank'>here</a>. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'windows,Python,X64,CUDA':
-			"pip install onnxruntime-gpu <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"For CUDA 11.X (default): <br/>pip install onnxruntime-gpu <br/>For CUDA 12.X: <br/>pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'linux,Python,ARM64,CUDA':
-			"For Jetpack 4.4+, follow installation instructions from <a class='text-blue-500' href='https://elinux.org/Jetson_Zoo#ONNX_Runtime' target='_blank'>here</a>",
+			"For Jetpack 4.4+, follow installation instructions from <a class='text-blue-500' href='https://elinux.org/Jetson_Zoo#ONNX_Runtime' target='_blank'>here</a>. <br/>Note: We do not have CUDA 12.X ARM64 support at this time.",
 
 		'linux,C-API,X64,CUDA':
 			"Download .tgz file from&nbsp;<a class='text-blue-500' href='https://github.com/microsoft/onnxruntime/releases' target='_blank'>Github</a> <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'linux,C++,X64,CUDA':
-			"Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a> <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"For CUDA 11.X (default): Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a>. <br/>For CUDA 12.X: Follow instructions <a class='text-blue-500' href='https://onnxruntime.ai/docs/install/#install-onnx-runtime-gpu-cuda-12x-1' target='_blank'>here</a>. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'linux,C#,X64,CUDA':
-			"Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a> <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"For CUDA 11.X (default): Install Nuget package&nbsp;<a class='text-blue-500' href='https://www.nuget.org/packages/Microsoft.ML.OnnxRuntime.Gpu' target='_blank'>Microsoft.ML.OnnxRuntime.Gpu</a>. <br/>For CUDA 12.X: Follow instructions <a class='text-blue-500' href='https://onnxruntime.ai/docs/install/#install-onnx-runtime-gpu-cuda-12x-1' target='_blank'>here</a>. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'linux,Python,X64,CUDA':
-			"pip install onnxruntime-gpu <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"For CUDA 11.X (default): <br/>pip install onnxruntime-gpu <br/>For CUDA 12.X: <br/>pip install onnxruntime-gpu --extra-index-url https://aiinfra.pkgs.visualstudio.com/PublicPackages/_packaging/onnxruntime-cuda-12/pypi/simple/ <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
 
 		'linux,C-API,ARM32,DefaultCPU':
 			"Follow build instructions from&nbsp;<a class='text-blue-500' href='https://aka.ms/build-ort-arm' target='_blank'>here</a>",
@@ -335,7 +335,7 @@
 			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime' target='_blank'>com.microsoft.onnxruntime:onnxruntime</a> using Maven/Gradle",
 
 		'linux,Java,X64,CUDA':
-			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime_gpu' target='_blank'>com.microsoft.onnxruntime:onnxruntime_gpu</a> using Maven/Gradle. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime_gpu' target='_blank'>com.microsoft.onnxruntime:onnxruntime_gpu</a> using Maven/Gradle. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements. <br/>Note: CUDA 12.X is not currently available with the Java GPU package due to low demand.",
 
 		'mac,Java,X64,DefaultCPU':
 			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime' target='_blank'>com.microsoft.onnxruntime:onnxruntime</a> using Maven/Gradle",
@@ -382,7 +382,7 @@
 			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime' target='_blank'>com.microsoft.onnxruntime:onnxruntime</a> using Maven/Gradle",
 
 		'windows,Java,X64,CUDA':
-			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime_gpu' target='_blank'>com.microsoft.onnxruntime:onnxruntime_gpu</a> using Maven/Gradle. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements.",
+			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime_gpu' target='_blank'>com.microsoft.onnxruntime:onnxruntime_gpu</a> using Maven/Gradle. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/CUDA-ExecutionProvider.html#requirements' target='_blank'>docs</a> for requirements. <br/>Note: CUDA 12.X is not currently available with the Java GPU package due to low demand.",
 
 		'windows,Java,X64,TensorRT':
 			"Add a dependency on <a class='text-blue-500' href='https://search.maven.org/artifact/com.microsoft.onnxruntime/onnxruntime_gpu' target='_blank'>com.microsoft.onnxruntime:onnxruntime_gpu</a> using Maven/Gradle. <br/>Refer to <a class='text-blue-500' href='http://www.onnxruntime.ai/docs/execution-providers/TensorRT-ExecutionProvider.html' target='_blank'>docs</a> for usage details.",