[doc-only] Add Accelerated Computing Hub to CUDA Python program

README.md

@@ -13,6 +13,7 @@ CUDA Python is the home for accessing NVIDIA’s CUDA platform from Python. It c
 * [nvshmem4py](https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html): Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
 * [Nsight Python](https://docs.nvidia.com/nsight-python/index.html): Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
 * [CUPTI Python](https://docs.nvidia.com/cupti-python/): Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
+* [Accelerated Computing Hub](https://github.com/NVIDIA/accelerated-computing-hub): Open-source learning materials related to GPU computing. You will find user guides, tutorials, and other works freely available for all learners interested in GPU computing.
 
 CUDA Python is currently undergoing an overhaul to improve existing and introduce new components. All of the previously available functionality from the `cuda-python` package will continue to be available, please refer to the [cuda.bindings](https://nvidia.github.io/cuda-python/cuda-bindings/latest) documentation for installation guide and further detail.
 

cuda_python/DESCRIPTION.rst

@@ -18,6 +18,7 @@ CUDA Python is the home for accessing NVIDIA's CUDA platform from Python. It con
 * `nvshmem4py <https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html>`_: Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
 * `Nsight Python <https://docs.nvidia.com/nsight-python/index.html>`_: Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
 * `CUPTI Python <https://docs.nvidia.com/cupti-python/>`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
+* `Accelerated Computing Hub <https://github.com/NVIDIA/accelerated-computing-hub>`_: Open-source learning materials related to GPU computing. You will find user guides, tutorials, and other works freely available for all learners interested in GPU computing.
 
 CUDA Python is currently undergoing an overhaul to improve existing and introduce new components. All of the previously available functionality from the ``cuda-python`` package will continue to be available, please refer to the `cuda.bindings <https://nvidia.github.io/cuda-python/cuda-bindings/latest>`_ documentation for installation guide and further detail.
 

cuda_python/docs/source/index.rst

@@ -18,6 +18,7 @@ multiple components:
 - `nvshmem4py`_: Pythonic interface to the NVSHMEM library, enabling Python applications to leverage NVSHMEM's high-performance PGAS (Partitioned Global Address Space) programming model for GPU-accelerated computing
 - `Nsight Python`_: Python kernel profiling interface that automates performance analysis across multiple kernel configurations using NVIDIA Nsight Tools
 - `CUPTI Python`_: Python APIs for creation of profiling tools that target CUDA Python applications via the CUDA Profiling Tools Interface (CUPTI)
+- `Accelerated Computing Hub`_: Open-source learning materials related to GPU computing. You will find user guides, tutorials, and other works freely available for all learners interested in GPU computing.
 
 .. _cuda.coop: https://nvidia.github.io/cccl/python/coop
 .. _cuda.compute: https://nvidia.github.io/cccl/python/compute
@@ -31,6 +32,7 @@ multiple components:
 .. _nvshmem4py: https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html
 .. _Nsight Python: https://docs.nvidia.com/nsight-python/index.html
 .. _CUPTI Python: https://docs.nvidia.com/cupti-python/
+.. _Accelerated Computing Hub: https://github.com/NVIDIA/accelerated-computing-hub
 
 CUDA Python is currently undergoing an overhaul to improve existing and introduce new components.
 All of the previously available functionality from the ``cuda-python`` package will continue to
@@ -56,3 +58,4 @@ be available, please refer to the `cuda.bindings`_ documentation for installatio
    nvshmem4py <https://docs.nvidia.com/nvshmem/api/api/language_bindings/python/index.html>
    Nsight Python <https://docs.nvidia.com/nsight-python/index.html>
    CUPTI Python <https://docs.nvidia.com/cupti-python/>
+   Accelerated Computing Hub <https://github.com/NVIDIA/accelerated-computing-hub>