Mojo
Overview
Mojo is a language from Modular aimed at AI systems programming on accelerators: Python-like syntax with strong performance and interoperability with the Python ecosystem. It targets kernels, graph compilers, and deployment paths where raw Python is too slow but C++/CUDA is too heavy for iteration.
Key concepts
- Python superset (directionally) — Familiar syntax; performance-oriented features.
- Accelerators — First-class attention to SIMD/GPU-style execution (see current language docs).
- Interop — Call into Python where ecosystem matters.
- Rapid evolution — Track release notes; APIs may shift in early phases.
- Toolchain —
mojoCLI, package layout per official guides.
Development loop
Sample: illustrative function (syntax may vary by version—verify against docs)
fn add(a: Int, b: Int) -> Int:
return a + b
References
- Modular — Mojo documentation
- Modular — Blog / releases
- Python Documentation (for ecosystem context)