Clarifai's latest update introduces Local Runners, a feature that allows developers to run AI models on their own hardware while seamlessly integrating with Clarifai's platform. This capability simplifies the development process by enabling testing and debugging without the need for cloud deployment, making it particularly useful for projects with local data or resources that aren't cloud-compatible. Users benefit from a streamlined model development process, utilizing their own compute resources while Clarifai manages infrastructure aspects like routing and authentication. Additionally, Clarifai has launched a new Compute Overview dashboard for managing compute resources and published new models optimized for various devices. The update also includes a token-based billing system for select models to better align costs with industry standards and improvements to the Python SDK and platform user interface, enhancing the overall user experience.