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For years we have struggled in maintainning the multiple cuda versions. Personally, I feel that Nvidia has done tremendous work in ameliorating the situation here at Conda-forge. However, I'm hoping to shed a little of bit of mental weight from cuda 11.8. IMO the main projects that utilize it: * pytorch - https://github.com/conda-forge/pytorch-cpu-feedstock/blob/main/recipe/meta.yaml#L58 * tensorflow - https://github.com/conda-forge/tensorflow-feedstock/blob/main/recipe/meta.yaml#L60 * jax - https://github.com/conda-forge/jaxlib-feedstock/blob/main/recipe/meta.yaml#L27 * onnxruntime https://github.com/conda-forge/onnxruntime-feedstock/blob/main/recipe/meta.yaml#L48 have all dropped CUDA 11.8 for lack of maintainer interest. I think it is time for us to drop it from the global pinnings
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