Modular's Mojo programming language has reached its 1.0 milestone, marking it as a stable, production-ready, general-purpose language. Its main goal is to unify AI software development across the wide range of GPUs, CPUs, ASICs and other chips used for AI workloads, offering an alternative to vendor-locked platforms such as Nvidia's CUDA and AMD's ROCm. This matters because many AI-focused firms competing with Nvidia want an open, hardware-neutral way to build and optimise AI systems rather than depending on a single vendor's proprietary tools.

Mojo combines Python's readability with Rust-like memory safety and system-level programming capabilities, and uses MLIR to tap into AI-specific hardware features for better performance. Created by Chris Lattner, also known for LLVM, Clang, Swift and MLIR, Mojo has been developed publicly since 2023 through his startup Modular, which Qualcomm acquired in June 2026. The 1.0 release adds Python-style lambda syntax, an improved Language Server Protocol integration for editors like VS Code, and new Mojo AI skills; the standard library is released under Apache License 2.0 with LLVM Exceptions, and Modular says it plans to open-source the full compiler later this year, possibly around next week's Modcon event, with Lattner downplaying fears that Qualcomm's ownership could compromise the project's vendor-neutral stance.