Mojo Programming Language Bridges Python Simplicity with Compiled Performance for AI Workloads
Learn how Mojo combines SIMD, multi-core parallelism, and Python interoperability to accelerate AI inference and data science workloads.
Read the full articleYou might also wanna read
First Attempt at Translating Cython Code to Mojo for Python Performance
I kick the tires on Mojo’s new Python interop by translating some of scikit-learn’s Cython into Mojo
fnands.com·9mo agollm.c Port to Mojo with Metal and CUDA Kernels
A developer has introduced llm.mojo — a Mojo port of Andrej Karpathy's llm.c project with support for high-performance kernels. It demonstra
mlllm.io·2d ago
Modular: Exploring Metaprogramming in Mojo
Exploring Metaprogramming in Mojo
modular.com·1y ago
Modular: Structured Mojo Kernels Part 1 - Peak Performance, Half the Code
Structured Mojo Kernels Part 1 - Peak Performance, Half the Code
modular.com·4mo ago
Mojo Programming Language Adds Apple Silicon GPU Support
The latest nightly releases of Mojo (and our next stable release) include initial support for a new accelerator architecture: Apple Silicon
forum.modular.com·9mo ago
Modular: Structured Mojo Kernels Part 3 - Composition in Practice
Structured Mojo Kernels Part 3 - Composition in Practice
modular.com·3mo ago
Comments
Sign in to join the conversation.
No comments yet. Be the first.