Modular bills Mojo as faster than C++, more hackable than Nvidia’s CUDA, ... Full support for dynamic features in Python classes also is eyed, as is C/C++ interoperability. Related content.

Mojo’s creators claim that it can be up to 35,000 times faster than Python code. At the heart of Mojo’s design is its focus on seamless integration with AI hardware, such as GPUs running CUDA ...

Modular developed its Mojo language as a faster alternative to Python. According to the startup, a program written in Mojo can run up to 68,000 times faster than if it were implemented using Python.

Being a python superset, Mojo should be easier to adopt than a whole new language like Julia. They’re going to make their money off their Inference Engine; Mojo’s the lead into it. Also, unlike Julia, ...

Mojo and Python. One of Mojo's primary benefits is that it embraces a Pythonic syntax. Python is well-known in the software development community for being easy to learn, and it has been ...

Beyond Python, Mojo can write high-performance code that makes use of newer modem accelerators, he said. Synergy effect: Mojo builds on the Python Ecosystem. ... without the need for C++ or CUDA.

Furthermore, Mojo works across the entire AI stack, from the CUDA cores on the GPU to the CPU-bound Python scripts that run on the desktop. C and C++ functions that will require updates to support ...

It will be an uphill battle for any language—Mojo or any other project like it—to achieve the full ecosystem compatibility, broad acceptance, and critical mass Python already has.

Chris Lattner, of LLVM and Swift fame just revealed his latest project: The Mojo programming language (and compiler tools) that is a superset of Python and compiles to native code. Apparently ...

Broader compiler support is driving a resurgence in interest in the nearly 35-year-old C++ programming language, which replaces Python in Tiobe's top 3.