CrowdStrike has released a free tool named tf2rust, designed to help data scientists convert TensorFlow machine learning models into Rust code, thus optimizing performance and memory usage for deep learning models. The tool aims to enhance the deployment of ML models in resource-constrained environments by reducing computational costs and memory requirements, which are often challenges in deploying neural networks on devices like smartphones and laptops. The tf2rust tool allows for leaner builds without the dependency complexities of traditional frameworks, decreasing the attack surface and improving security. It also supports various neural layers and provides a command-line interface for ease of use. CrowdStrike encourages feedback and contributions from the community to further improve the tool, which is accessible on GitHub.