examples/alphafold2.md
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### Known issues
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- Unified memory across GPUs does not appear to work in the current version.
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-- The `ptxas` executable is required to be in PATH in some cases, but not all. We can not redistribute this binary since it is part of the NVIDIA SDK. It must be installed separetely and added to the environment PATH variable, typically in `/usr/local/cuda/bin`. Version 11.0.3 works well in our hands, but other versions should work. [You can download the SDK here : https://developer.nvidia.com/cuda-toolkit-archive](https://developer.nvidia.com/cuda-toolkit-archive)
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+- The `ptxas` executable is required to be in PATH in some cases, but not all. We can not redistribute this binary since it is part of the NVIDIA CUDA SDK. Unfortunately, must be installed separetely and added to the environment PATH variable, typically in `/usr/local/cuda/bin`. Version 11.0.3 works well in our hands, but other CUDA versions should also work. [You can download the SDK here : https://developer.nvidia.com/cuda-toolkit-archive](https://developer.nvidia.com/cuda-toolkit-archive)
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- Clashes bewtween monomers have been reported in some cases in multimer mode
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