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Co-authored-by: Jaime Rodríguez-Guerra <[email protected]>

Author: leofang

src/user/faq.rst

@@ -75,6 +75,6 @@ FAQ
 
 :ref:`(Q) <faq_cuda_compiler_header>` **How can I compile CUDA (host or device) codes in my environment?**
 
-  Unfortunately, this is not possible with Conda-Forge's current infrastructure (``nvcc``, ``cudatoolkit``, etc) if there is no local CUDA Toolkit installation. In particular, the ``nvcc`` package provided on Conda-Forge is a *metapackage* wrapping an actual ``nvcc`` compiler for our CI to use; it does not contain the full ``nvcc`` compiler toolchain. One of the reasons is that CUDA headers like ``cuda.h``, ``cuda_runtime.h``, etc, are not redistributable according to NVIDIA's EULA, which are needed at compile time. Likewise, the ``cudatoolkit`` package only contains CUDA runtime libraries and not the compiler toolchain.
+  Unfortunately, this is not possible with Conda-Forge's current infrastructure (``nvcc``, ``cudatoolkit``, etc) if there is no local CUDA Toolkit installation. In particular, the ``nvcc`` package provided on Conda-Forge is a *wrapper package* that exposes the actual ``nvcc`` compiler to our CI infrastructure in `conda`-friendly way; it does not contain the full ``nvcc`` compiler toolchain. One of the reasons is that CUDA headers like ``cuda.h``, ``cuda_runtime.h``, etc, are not redistributable according to NVIDIA's EULA, which are needed at compile time. Likewise, the ``cudatoolkit`` package only contains CUDA runtime libraries and not the compiler toolchain.
 
   If you need to compile CUDA codes, even if they involve only CUDA host APIs, you will still need a valid CUDA Toolkit installed locally and use it. Please refer to `NVCC's documentation <https://docs.nvidia.com/cuda/cuda-compiler-driver-nvcc/index.html>`_ for the CUDA compiler usage and `CUDA Programming Guide <https://docs.nvidia.com/cuda/cuda-c-programming-guide/index.html>`_ for general CUDA programming.