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The Apache 2.0 license is the gold standard for programming languages and compilers, because it provides great flexibility to be used in all sorts of applications. The LLVM extensions to the license further expand those freedoms for building and distributing binaries compiled from Mojo. We want you to be able to adopt and use Mojo in as many applications as you can imagine.

Today during the ModCon keynote, we shared a major milestone in Modular's multi-silicon work: Qualcomm Technologies' data center AI accelerators are now integrated into the Modular Platform. Qualcomm Technologies has spent decades building high-performance, power-efficient compute, and has directed that expertise at purpose-built inference silicon designed for the best performance per dollar per watt. Developers can now reach this hardware through the same software stack they already run on NVIDIA and AMD GPUs. This milestone represents an early step towards a common software foundation spanning an even broader range of industry accelerators, from edge to cloud.

Four and a half years ago, Modular made a bet: AI would not run on one kind of silicon forever, and the software stack would need to be rearchitected for a world of heterogeneous hardware and increasingly complex AI workloads.

Today, the Mojo language officially reaches 1.0: a milestone the language has been building toward since its first release in 2023. Mojo has grown into a general-purpose language with a vibrant developer community writing their own libraries, tools, and applications on top of it. With Mojo 1.0, developers can now build for the long-term on a stable, production-ready language foundation.

Modular’s AI-native software platform complements Qualcomm Technologies’ solutions to accelerate generative and agentic AI technologies from edge to cloud.

NEW YORK – June 24, 2026 – Qualcomm Incorporated (NASDAQ: QCOM), a connected computing leader at the center of the AI era, today announced that it has reached an agreement to acquire Modular Inc, strengthening Qualcomm Technologies, Inc.’s software foundation for generative and agentic AI across data center and edge environments.

Modular 26.4 brings state-of-the-art mixture-of-experts (MoE) serving to Modular Cloud, expands MAX support for the newest open-weight models, and takes another step toward Mojo 1.0.

For years, the AI stack has been locked to specific hardware and switching meant rewriting everything you'd already shipped. At ModCon 2026, we’ll enable hardware flexibility and showcase what changes when the same model, code, and container run across NVIDIA, AMD, and new hardwares to be announced, with the performance and cost numbers to back it up.

To avoid the repeated loads, MSA inverts the mapping by grouping the queries by the KV block they selected; i.e. executing in key-block-major form and what MiniMax calls “KV outer gather Q”. As a result, we can improve the arithmetic intensity since the blocks are loaded once, before computing partial attention for all of those queries, and then merging the partial results.

This edition captures everything happening across the Modular ecosystem, from developers building with MAX and Mojo🔥 to the broader impact Modular is having across AI infrastructure. Here's a look at what's been happening lately.