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Democratizing AI Compute Series
Go behind the scenes of the AI industry with Chris Lattner
Modular 26.1: A Big Step Towards More Programmable and Portable AI Infrastructure
Today we’re releasing Modular 26.1, a major step toward making high-performance AI computing easier to build, debug, and deploy across heterogeneous hardware. This release is focused squarely on developer velocity and programmability—helping advanced AI teams reduce time to market for their most important innovations.
The path to Mojo 1.0
While we are excited about this milestone, this of course won’t be the end of Mojo development! Some commonly requested capabilities for more general systems programming won’t be completed for 1.0, such as a robust async programming model and support for private members. Read below for more information on that!
Modular 25.7: Faster Inference, Safer GPU Programming, and a More Unified Developer Experience
Today, we’re excited to release Modular Platform 25.7, an update that deepens our vision of a unified, high-performance compute layer for AI. With a fully open MAX Python API, an experimental next-generation modeling API, expanded hardware support for NVIDIA Grace superchips, and a safer, more capable Mojo GPU programming experience, this release moves us closer to an ecosystem where developers spend less time fighting infrastructure and more time advancing what AI can do.
Modular 25.6: Unifying the latest GPUs from NVIDIA, AMD, and Apple
We’re excited to announce Modular Platform 25.6 – a major milestone in our mission to build AI’s unified compute layer. With 25.6, we’re delivering the clearest proof yet of our mission: a unified compute layer that spans from laptops to the world’s most powerful datacenter GPUs. The platform now delivers:
Modular Platform 25.5: Introducing Large Scale Batch Inference
Modular Platform 25.5 is here, and introduces Large Scale Batch Inference: a highly asynchronous, at-scale batch API built on open standards and powered by Mammoth. We're launching this new capability through our partner SF Compute, enabling high-volume AI performance with a fast, accurate, and efficient platform that seamlessly scales workloads across any hardware.
Modular 25.4: One Container, AMD and NVIDIA GPUs, No Lock-In
We're excited to announce Modular Platform 25.4, a major release that brings the full power of AMD GPUs to our entire platform. This release marks a major leap toward democratizing access to high-performance AI by enabling seamless portability to AMD GPUs.
Democratizing Compute Series
Go behind the scenes of the AI industry in this blog series by Chris Lattner. Trace the evolution of AI compute, dissect its current challenges, and discover how Modular is raising the bar with the world’s most open inference stack.
Matrix Multiplication on Blackwell
Learn how to write a high-performance GPU kernel on Blackwell that offers performance competitive to that of NVIDIA's cuBLAS implementation while leveraging Mojo's special features to make the kernel as simple as possible.
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