During the month, work centered on upgrading the CUDA and cuDNN stack within the terrapkg/packages repository to enhance compatibility and performance for deep learning workloads. The developer implemented a targeted upgrade from CUDA 12 to CUDA 13 and advanced cuDNN to release 2, ensuring alignment with current machine learning frameworks and future hardware requirements. This update was delivered as a repository-level switch commit, with thorough documentation to support maintainability. Leveraging expertise in CUDA, NVIDIA technologies, and deep learning, the changes reduced friction for machine learning upgrades and enabled support for newer models, directly improving the business value of the package.