Mojo is a new programming language specifically designed for AI developers, combining the user-friendliness of Python with the performance of C. As highlighted on the Modular website, Mojo unlocks the programmability and extensibility of AI models and hardware. Its cutting-edge features include progressive types, zero-cost abstractions, and ownership, while also supporting parallel processing across multiple cores for model operations. Although still in its early stages, Mojo is compatible with the Python ecosystem, allowing developers to leverage the robust Python libraries and achieve impressive performance on par with C++ and CUDA. Despite lacking certain features like classes, it supports key Python features, including async/await and error handling. Try out Mojo for yourself on the JupyterHub-based Playground.
Struggling with slow API calls? 👀
Dan Mindru walks through how he used Sentry's new Trace View feature to shave off 22.3 seconds from an API call.
Get a practical walkthrough of how to identify bottlenecks, split tasks into multiple parallel tasks, identify slow AI model calls, and more.
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