Mojo, a new programming language designed to address limitations found in Python’s complex ecosystem and performance issues, has launched to tackle the challenges faced by machine learning (ML) inference developers. Developed by Chris Lattner and a team of specialised developers, Mojo aims to be a fully-compatible Python superset that can enhance performance at a low level. Featuring the best features of various languages, Mojo incorporates the hardware-level control of C and the zero-cost abstractions of C++, making it easier for ML engineers to experiment with inference code. Mojo also allows for optimal performance across different hardware without the frustration of grappling with complex languages.
https://mojodojo.dev/blog.html