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+# Building HAT (NVidia Notes)
+[Back to Index ../](../index.md)
+
+This guide provides step-by-step instructions to configure Babylon/HAT for CUDA-based GPU acceleration.
+
+### Prerequisites
+
+To run Babylon/HAT with the CUDA backend, ensure the following components are properly installed:
+
+1. **The NVIDIA GPU Driver:** Download and install the latest appropriate driver for your operating system from the [NVIDIA Drivers page](https://www.nvidia.com/en-us/drivers/)
+2. **The CUDA Toolkit (SDK):** Download the matching CUDA Toolkit from the [NVIDIA CUDA Downloads page](https://developer.nvidia.com/cuda-downloads).
+
+The CUDA Toolkit version must be compatible with your installed NVIDIA driver.
+For example, as of June 2025, the stable NVIDIA driver for Linux is `570.169`, which supports CUDA Toolkit version `12.8`.
+
+Always verify compatibility before installation to prevent runtime errors:
+- You can find previous CUDA Toolkit versions on the [NVIDIA CUDA Toolkit Archive](https://developer.nvidia.com/cuda-toolkit-archive)
+- Review supported CUDA versions and PTX ISA implementations in the [NVIDIA Parallel Thread Execution documentation](https://docs.nvidia.com/cuda/parallel-thread-execution/index.html#release-notes).
+
+
+### Troubleshooting: Unsupported CUDA/PTX Versions
+
+If Babylon/HAT runs with an incompatible CUDA/PTX version, you may encounter an error similar to:
+
+```bash
+cuModuleLoadDataEx CUDA error = 222 CUDA_ERROR_UNSUPPORTED_PTX_VERSION
+      /<path/to/babylon>/hat/backends/ffi/cuda/src/main/native/cpp/cuda_backend.cpp line 220
+```
+
+If this is your case, you can:
+  - **update your GPU driver**.
+  - **or downgrade your CUDA version.**
+
+### Building HAT for the CUDA backend
+
+If the NVIDIA driver and the CUDA Toolkit SDK are installed, the HAT build process will automatically compile
+all sources to dispatch with the CUDA backend.
+
+```bash
+mvn clean package
+```
+
+### Run HAT examples with the CUDA Backend
+You can enable the CUDA backend by using the `ffi-cuda` option from HAT.
+For example, to run the Matrix Multiplication example:
+
+```bash
+java @.ffi-cuda-examples matmul.Main 1D
+```