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Co-authored-by: Bradley Dice <[email protected]>
rapidsai · Aug 23, 2024 · eeb7a88 · eeb7a88
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diff --git a/docs/cugraph/source/tutorials/basic_cugraph.md b/docs/cugraph/source/tutorials/basic_cugraph.md
@@ -4,7 +4,7 @@
 
 CuGraph is part of [Rapids](https://docs.rapids.ai/user-guide) and has the following system requirements:
  * NVIDIA GPU, Volta architecture or later, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+
- * CUDA 11.2, 11.4, 11.5, 11.8, 12.0 or 12.2
+ * CUDA 11.2, 11.4, 11.5, 11.8, 12.0, 12.2, or 12.5
  * Python version 3.10 or 3.11
  * NetworkX >= version 3.3 or newer in order to use use [NetworkX Configs](https://networkx.org/documentation/stable/reference/backends.html#module-networkx.utils.configs) **This is required for use of nx-cuGraph, [see below](#cugraph-using-networkx-code).**
 

diff --git a/python/nx-cugraph/README.md b/python/nx-cugraph/README.md
@@ -8,7 +8,7 @@ to run supported algorithms with GPU acceleration.
 
 nx-cugraph requires the following:
  * NVIDIA GPU, Volta architecture or later, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+
- * CUDA 11.2, 11.4, 11.5, 11.8, or 12.0
+ * CUDA 11.2, 11.4, 11.5, 11.8, 12.0, 12.2, or 12.5
  * Python version 3.10 or 3.11
  * NetworkX >= version 3.0 (version 3.2 or higher recommended)