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Build with CUDA 12.8.0 #97

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Feb 4, 2025
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Build with CUDA 12.8.0 #97

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4 changes: 2 additions & 2 deletions ...nvironments/all_cuda-125_arch-x86_64.yaml → ...nvironments/all_cuda-128_arch-x86_64.yaml
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Expand Up @@ -9,7 +9,7 @@ channels:
- nvidia
dependencies:
- breathe>=4.35
- cuda-version=12.5
- cuda-version=12.8
- cugraph-dgl==25.2.*,>=0.0.0a0
- cugraph-pyg==25.2.*,>=0.0.0a0
- cugraph==25.2.*,>=0.0.0a0
Expand All @@ -30,4 +30,4 @@ dependencies:
- sphinx-markdown-tables
- sphinx>=8
- sphinxcontrib-websupport
name: all_cuda-125_arch-x86_64
name: all_cuda-128_arch-x86_64
6 changes: 5 additions & 1 deletion dependencies.yaml
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Expand Up @@ -4,7 +4,7 @@ files:
output: [conda]
matrix:
# docs are only built on the latest CUDA version RAPIDS supports
cuda: ["12.5"]
cuda: ["12.8"]
arch: [x86_64]
includes:
- checks
Expand Down Expand Up @@ -51,6 +51,10 @@ dependencies:
cuda: "12.5"
packages:
- cuda-version=12.5
- matrix:
cuda: "12.8"
packages:
- cuda-version=12.8

docs:
common:
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2 changes: 1 addition & 1 deletion docs/cugraph-docs/source/nx_cugraph/installation.md
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Expand Up @@ -8,7 +8,7 @@ This guide describes how to install ``nx-cugraph`` and use it in your workflows.
`nx-cugraph` requires the following:

- **Volta architecture or later NVIDIA GPU, with [compute capability](https://developer.nvidia.com/cuda-gpus) 7.0+**
- **[CUDA](https://docs.nvidia.com/cuda/index.html) 11.2, 11.4, 11.5, 11.8, 12.0, 12.2, or 12.5**
- **[CUDA](https://docs.nvidia.com/cuda/index.html) 11.2, 11.4, 11.5, 11.8, 12.0, 12.2, 12.5, or 12.8**
- **Python >= 3.10**
- **[NetworkX](https://networkx.org/documentation/stable/install.html#) >= 3.2 (version 3.4 or higher recommended)**

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2 changes: 1 addition & 1 deletion docs/cugraph-docs/source/tutorials/basic_cugraph.md
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Expand Up @@ -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, 12.2, or 12.5
* CUDA 11.2, 11.4, 11.5, 11.8, 12.0, 12.2, 12.5, or 12.8
* Python version 3.10, 3.11, or 3.12
* 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).**

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