
In August 2025, Alex Portnoy focused on enhancing CUDA compatibility and stability for the ml-explore/mlx repository. He addressed the challenge of supporting CUDA 13 by updating API calls and adapting to changes in function signatures, particularly for cudaMemAdvise and cudaGraphAddDependencies, using conditional compilation based on the CUDA runtime version. His work involved C++ development and API integration, ensuring that the codebase remained robust across different NVIDIA toolchains. Alex also updated documentation in Markdown to reflect these changes and included proper acknowledgments. This targeted engineering effort improved version compatibility and reduced upgrade friction for users relying on CUDA-enabled environments.

August 2025 monthly summary for ml-explore/mlx focusing on CUDA compatibility and stability improvements. Primary work centered on ensuring CUDA API compatibility with CUDA 13 by updating API calls, handling changes in signatures, and documenting the changes. This work reinforces product reliability on newer NVIDIA toolchains and mitigates upgrade risk for users.
August 2025 monthly summary for ml-explore/mlx focusing on CUDA compatibility and stability improvements. Primary work centered on ensuring CUDA API compatibility with CUDA 13 by updating API calls, handling changes in signatures, and documenting the changes. This work reinforces product reliability on newer NVIDIA toolchains and mitigates upgrade risk for users.
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