Mojo combines the usability of Python with the performance of C, unlocking unparalleled programmability of AI hardware and extensibility of AI models.
Mojo is a programming language that combines the performance and control inherent in systems languages like C++ and Rust with the flexibility and simplicity of use typical of dynamic languages like Python.
Mojo was developed with a set of guiding principles and goals in mind, primarily to answer the changing needs of developers in the areas of high-performance system programming and artificial intelligence (AI).
It is like an advanced version of Python, similar to how TypeScript is an advanced version of JavaScript. If you know Python, you can easily get the hang of Mojo.Â
By providing a high-performance programming language free of the complexities seen in languages like C++ and CUDA, Mojo seeks to simplify the AI development process.Â
Mojo is engineered to sustain both high performance and scalability in the face of the growing complexity of contemporary systems. Â
It has tools that help break down complex tasks into smaller bits that your computer can handle faster.Â
It also has an 'Autotune' feature that fine-tunes your code for the best performance on your machine.Â
Language: Python 3.10.9TIme: 1027sSpeed Vs Python: 1X
Performance and Scalability
Language: PYPYTIme: 46.1Speed Vs Python: 22X
Language: SCALAR C++TIme: 0.20sSpeed Vs Python: 5000X
Language: MOJOTIme: 0.03SSpeed Vs Python: 68000X
Performance and Scalability
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