We rebuilt the modern AI software stack, from the ground up, to boost any AI pipeline, on any hardware.
MAX is built on top of Mojo from the ground up to empower AI engineers to unlock the full potential of AI hardware by combining the usability of Python, the safety of Rust, and the performance of C.
MAX unlocks state-of-the-art performance for your AI models. Extend and optimize your AI pipelines without having to rewrite them, with unparalleled performance using a next generation compiler.
Seamlessly move your models and AI pipelines to any hardware target, maximizing your performance to cost ratio and avoiding vendor lock-in.
Modular is 1.7x faster than TensorFlow when running [Stable Diffusion-UNet] on [CPU]
Modular is 1.7x faster than PyTorch when running [Stable Diffusion-UNet] on [CPU]
BUILT BY THE WORLD’S AI EXPERTS
Our team has built most of the world’s existing AI infrastructure, including TensorFlow, PyTorch, ONNX, and XLA, and we’ve built and scaled dev tools like Swift, LLVM, and MLIR. Now we’re focused on rebuilding AI infrastructure for the world.
Reinvented from the ground up
To unlock the next wave of AI innovation, we started with a “first principles” approach to building the lowest layers of the AI stack. We can’t pile on more and more layers of complexity on top of already over-complicated existing solutions.
Infrastructure that just works
We build technology that meets you where you are. We don’t require you to rewrite your models, workflows, or application code, grapple with confusing converters, or be a hardware expert to take advantage of bleeding-edge technology.