Mojo

Python-syntax systems language built for GPU/CPU performance on AI workloads — created by Swift/LLVM architect Chris Lattner, hit 1.0 and went fully open source in August 2026

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Mojo is a new language from Modular, built by Chris Lattner (the creator of Swift and LLVM) specifically to close the gap between Python’s ease of use and the raw performance AI/ML workloads need on GPUs and CPUs — without dropping into C++ or CUDA to get it. It reached its 1.0 release and went fully open source (Apache 2.0) in August 2026.

Syntax is a superset of Python — existing Python code is largely valid Mojo — with added systems-level features (Rust-inspired memory safety, explicit typing where you want it) that let the compiler generate genuinely fast native code. It’s not a PyTorch or TensorFlow replacement so much as a lower layer aimed at the same problem those frameworks solve with hand-optimized kernels — worth watching now that it’s stable and open, less so while it was an experimental, closed preview.

See What Is Mojo? for the fuller story on Chris Lattner’s background and why it went open source when it did.

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