---
metadata:
  - name: generator
    content: Diplodoc Platform v5.52.0
alternate:
  - https://catboost.ai/docs/en/installation/r-installation-conda-install.md
  - href: en/installation/r-installation-conda-install.md
    type: text/markdown
    title: Markdown version
  - href: ../llms.txt
    type: text/markdown
    title: llms.txt
---
> **Documentation Index:** Fetch the complete configuration index at https://catboost.ai/docs/en/llms.txt

# conda install

{% note info %}

<!-- source: en/_includes/work_src/reusage-installation/gpu-support-from-the-box__p.md -->
This version has CUDA-enabled GPU support out-of-the-box on Linux and Windows.
<!-- endsource: en/_includes/work_src/reusage-installation/gpu-support-from-the-box__p.md -->

<!-- source: en/_includes/work_src/reusage-code-examples/compute-capability-requirements.md -->
As of CatBoost 1.2.10, devices with CUDA compute capability >= 3.5 are supported in released packages.

All necessary CUDA libraries are statically linked in the released Linux and Windows binaries, the only installation necessary is the appropriate version of the CUDA driver.
<!-- endsource: en/_includes/work_src/reusage-code-examples/compute-capability-requirements.md -->

<!-- source: en/_includes/work_src/reusage-code-examples/nvidia-driver-reqs.md -->
Training or inference on CUDA-enabled GPUs requires NVIDIA Driver of version 450.80.02 or higher.
<!-- endsource: en/_includes/work_src/reusage-code-examples/nvidia-driver-reqs.md -->

{% endnote %}


<!-- source: en/_includes/work_src/reusage-common-phrases/install-from-conda-forge-channel.md -->
To install CatBoost from the conda-forge channel:
<!-- endsource: en/_includes/work_src/reusage-common-phrases/install-from-conda-forge-channel.md -->


1. Add conda-forge to your channels:
    ```
    conda config --add channels conda-forge
    ```

1. Install CatBoost:
    ```
    conda install r-catboost
    ```