Modular offers an end-to-end AI inference platform spanning from low-level kernel optimization to production cloud serving. It supports NVIDIA, AMD, and custom hardware through its MAX framework and the Mojo programming language. Users can deploy open models via shared or dedicated endpoints, run self-hosted instances, or build custom models with kernel-level control. The stack promises up to 2x performance gains on top open models while maintaining an open source foundation.
Modular is an AI & ML project. It focuses on achieving high-performance AI inference across diverse hardware without managing fragmented optimization tools and runtimes. Modular is a B2B product aimed at AI developers and machine learning engineers. Modular follows a freemium model. Modular is available on the web and API, and it can be self-hosted.
Modular Inc. builds and maintains Modular, and it first shipped in 2026. Development happens publicly on GitHub with 121 stars and 27 commits in the last 90 days. Key capabilities include MAX Framework, Mojo Language, and Cloud Inference. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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