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(https://www.modular.com/company/about) (https://www.modular.com/company/careers) Careers 👋  We’re currently hiring! (https://www.modular.com/company/careers) (https://www.modular.com/company/culture) Culture What we believe (https://www.modular.com/company/culture) (https://www.modular.com/request-demo) Contact Us Request a demo (https://www.modular.com/request-demo) (https://www.modular.com/request-demo) Request a demo (https://console.modular.com/signup?utm_source=topNav) Sign up close August 11, 2026 Modular 26.5: Mojo 1.0 is here! () Modular Team () Product 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. Mojo 1.0: A stable foundation for ecosystem growth Modular has rapidly evolved the Mojo language through extensive internal use. But that pace of progress has come with a tradeoff: frequent changes have made it difficult for the community to maintain long-term projects. As we stated when (https://www.modular.com/blog/the-path-to-mojo-1-0) we first announced the path to Mojo 1.0 , its primary goal is to provide a stable foundation developers can build on. We are making that commitment today because Mojo is ready: it is no longer just a language we are developing; it is a language we rely on every day in production as the foundation of our commercial infrastructure, MAX and Modular Cloud. Importantly, Mojo 1.0 does not mark the end of the language’s evolution, but it is an important milestone on a longer journey. During the 1.x timeframe, changes should primarily be additive, giving developers confidence that the language will not continually shift beneath them. Breaking changes may still be made, but will be managed with care, following the standards of how mature languages (e.g. C++) evolve over time. Yet, this milestone belongs just as much to our incredible community as it does to us. Since we open-sourced the standard library, nearly 200 contributors have landed more than 1,100 pull requests, changing over 200,000 lines of code, and more than a thousand others have filed issues that shaped the language. To every developer who filed an issue, opened a pull request, wrote a language proposal, or built a package: thank you for being the architects of this language alongside us. Mojo improvements in 26.5 Much of this release is focused on completing the work required for Mojo 1.0 – a throughline across our last several releases as we’ve worked to make the language more consistent, predictable, and approachable. Where Mojo offered multiple ways to express the same idea, we’ve converged on one. Variables are now consistently declared with var, closures have been unified, there is a single Pointer type, and a number of renamings have made the Mojo lexicon more precise and consistent. This release completes that final round of language simplification and cleanup, giving Mojo 1.0 the stable, coherent foundation we want developers to be able to build on for years to come. Beyond this foundational work, Mojo 1.0 also includes several new features and improvements since the last beta release: Mojo now supports Python-style “lambda” syntax for inline closures. The Mojo LSP server is far more stable and reliable, greatly improving your everyday experience with VS Code and other editors. The (https://github.com/modular/skills) Mojo AI Skills are now “1.0 ready”, covering new project creation, GPU programming, porting from other languages, etc. Mojo now diagnoses memory safety problems involving reference invalidation, e.g. noticing when List.append invalidates a reference into the list. “where” clauses are more consistently used across the standard library, and allow a descriptive message to make failures more actionable. These are only a few of the highlights. See the full (https://mojolang.org/releases/v1.0.0/) Mojo changelog on (http://mojolang.org/) mojolang.org for the complete list of changes. Where Mojo goes from here Mojo 1.0 is a major milestone, but there’s so much more we are planning for the language. Mojo has already established itself as a powerful language for writing high-performance code across modern CPUs, GPUs, and accelerators. The next phase of its evolution is to broaden that foundation and make Mojo a truly great general-purpose systems programming language. That means continuing to invest in the core language and developer experience, with major capabilities ahead including a robust asynchronous programming model, pattern matching and unions, and much more. You can see what we are working toward in the (https://mojolang.org/docs/roadmap/) Mojo roadmap . Finally, we will continue to progressively open-source more of the Mojo language, as well as components in MAX that we have built with it. Our commitment remains unchanged – we will open source the Mojo compiler and toolchain in 2026. MAX enhancements in 26.5 While Mojo 1.0 is the highlight of this release, 26.5 brings improvements to MAX, too. Installing MAX is now easier: use max[“serve”] and max[“benchmark”] (max-serve and max-benchmark with conda) to install only the dependencies you need, or max[“all”] to install everything. The modular package will be retired in 26.6. MAX also adds support for two new model families: GLM-5.2 and Nemotron-H, both hybrid Mamba-2 models. And Kimi 2.5 now works with Module V3, our streamlined model-authoring path. Last, (https://github.com/modular/skills) our collection of open source agent skills is a great way to get started with this release. We've used these skills internally to speed up full model lifecycle bring-up, and they've picked up 7.2K+ downloads through skills.sh. For the full list of updates, see the (https://docs.modular.com/releases/v26.5/) MAX changelog . Get started with 26.5 and Mojo 1.0 Install or upgrade to get started in minutes: bash uv pip install --upgrade mojo uv pip install max[all] Copy (https://mojolang.org/releases/v1.0.0/) Mojo changelog (https://docs.modular.com/releases/v26.5/) MAX changelog (https://mojolang.org/) mojolang.org (https://github.com/modular/modular) GitHub (https://forum.modular.com/) Modular forum 1.0 is just the beginning, and we’ll share more on our plans for Mojo, MAX, and open source at ModCon on August 18th in San Francisco. Tune in virtually via (https://luma.com/modcon-livestream) the livestream or (https://luma.com/modcon) join the in-person waitlist . Read more from Modular (https://www.modular.com/blog) View all blogs () Modular 26.4: SOTA MoE Serving, Model Bringup via Agent Skills, Mojo 1.0 Beta 2 and More June 18, 2026 (https://www.modular.com/blog/modular-26-4-sota-moe-serving-model-bringup-via-agent-skills-mojo-beta-2-and-more) () Translating to Mojo via AI Agents May 13, 2026 (https://www.modular.com/blog/translating-to-mojo-via-ai-agents) () Inkwell: Why Your Inference Platform Matters As Much As Your Model May 12, 2026 (https://www.modular.com/blog/inkwell-why-your-inference-platform-matters-as-much-as-your-model) Build the future of AI with Modular (https://console.modular.com/signup) Get started - FREE (https://www.modular.com/pricing) View Editions (Person with blonde hair using a laptop with an Apple logo.) Sign up today Signup to our Cloud Platform today to get started easily. 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Unsubscribe at anytime. Email* (Enter your work email...) First Name (Enter first name...) Last Name (Enter last name...) (Enter description...) (Submit) Your data is handled in accordance with Modular's (https://www.modular.com/legal/privacy) Privacy Policy . Thanks for signing up to our newsletter! 🚀 Thank you, Modular Sales Team Oops! Something went wrong while submitting the form. Return to page Modular Champions X / X () () Owen Hilyard I'm a PhD student at the University of New Hampshire in the Cloud Computing Lab, where I conduct research on hardware acceleration of networking and distributed systems reliability. I'm also a former component maintainer for DPDK, the Data Plane Development Kit, which is where I got my start looking "under the hood" at networking before resigning to work in my PhD. All of this means I like making computers go fast, and Mojo + MAX is a great place to combine my love of hardware, high performance software, and my interest in programming languages. I also act as one of the community moderators for Modular on the Discord server and Discourse forum. Connect with Owen Hilyard (modular-26-5-mojo-1-0-is-here.html#) (https://www.linkedin.com/in/owen-hilyard-7ba8a7168/) (https://github.com/owenhilyard) (modular-26-5-mojo-1-0-is-here.html#) () () Seth Stadick I'm a Bioinformatics Software Engineer passionate about building high-performance systems. For the past six years, I've developed in Rust across environments ranging from Raspberry Pi devices to full-scale HPC clusters in the cloud. I'm excited about Mojo's potential to reshape how we approach performance-critical computing.When I'm not coding, I’m usually spending time with my family — or trying to land new tricks on a skateboard (I just learned to Ollie)! Connect with Seth Stadick (https://bsky.app/profile/ducktapeprogrammer.bsky.social) (https://www.linkedin.com/in/seth-stadick-ms-95b63151/) (https://github.com/sstadick) (modular-26-5-mojo-1-0-is-here.html#) () () Brian Grenier I am C++ developer working for a cardiac image processing company. I've been a Mojo standard library contributor since 2024. I also actively maintain two libraries, EmberJSON, a JSON library written in pure Mojo, and Kelvin, a type safe dimensional analysis library. I often hang out in the Mojo discord and forum! Connect with Brian Grenier (modular-26-5-mojo-1-0-is-here.html#) (https://www.linkedin.com/in/brian-grenier-07a724162/) (https://github.com/bgreni) (modular-26-5-mojo-1-0-is-here.html#) () () Martin Vuyk I'm a Mechatronics Engineer who pivoted into Software Development. I like tackling complex problems and building lasting solutions. I invest my time into things that I think will be impactful. Connect with Martin Vuyk (modular-26-5-mojo-1-0-is-here.html#) (https://www.linkedin.com/in/martin-vuyk-loperena-37181b230) (https://github.com/martinvuyk) (modular-26-5-mojo-1-0-is-here.html#) () () Sawyer Bergeron Compiler, PL, and systems/performance engineering enthusiast with an eyebrow-raising amount of VAX assembly experience. Collector (of hobbies). Enjoys bagels just a bit too much. Connect with Sawyer Bergeron (modular-26-5-mojo-1-0-is-here.html#) (https://www.linkedin.com/in/sawyerbergeron/) (https://github.com/szbergeron) (modular-26-5-mojo-1-0-is-here.html#) () () Valentin Erokhin Author of Lightbug, a Mojo HTTP Framework (https://github.com/Lightbug-HQ/lightbug_http) Connect with Valentin Erokhin (https://bsky.app/profile/a2svior.bsky.social) (https://www.linkedin.com/in/valentin-erokhin-24969a14a/) (https://github.com/saviorand) (https://www.valentin.wiki/) () () Sora Connect with Sora (modular-26-5-mojo-1-0-is-here.html#) (modular-26-5-mojo-1-0-is-here.html#) (https://github.com/soraros) (modular-26-5-mojo-1-0-is-here.html#) () () Maxim Zaks I tell computers how to waste electricity, hopefully in an efficient or at least useful way. Connect with Maxim Zaks (modular-26-5-mojo-1-0-is-here.html#) (https://www.linkedin.com/in/m-zaks) (https://github.com/mzaks) (https://mzaks.medium.com/) () () Gabriel de Marmiesse Former core dev of Keras, author of Python-on-whales, currently working at Kyutai to democratize AI through open science Connect with Gabriel de Marmiesse (modular-26-5-mojo-1-0-is-here.html#) (https://www.linkedin.com/in/gabriel-de-marmiesse-52146711b/) (https://github.com/gabrieldemarmiesse) (modular-26-5-mojo-1-0-is-here.html#) () () Max Brylski Explorer of the computational universe Connect with Max Brylski (modular-26-5-mojo-1-0-is-here.html#) (modular-26-5-mojo-1-0-is-here.html#) (https://github.com/helehex) (https://helehex.net) () () Tilli Fe Connect with Tilli Fe (https://x.com/tilli_fe) (modular-26-5-mojo-1-0-is-here.html#) (https://github.com/TilliFe) (modular-26-5-mojo-1-0-is-here.html#) Return to page Leadership team X / X () Chris Lattner (http://www.nondot.org/sabre/) Distinguished Leader who founded and scaled critical infrastructure including (https://llvm.org/) LLVM , (https://clang.llvm.org/) Clang , (https://mlir.llvm.org/) MLIR , (https://cloud.google.com/tpu) Cloud TPUs and the (https://swift.org/) Swift programming language. Chris built AI and core systems at multiple world leading technology companies including Apple, Google, SiFive and Tesla. Connect with Chris Lattner (https://www.twitter.com/clattner_llvm) (https://www.linkedin.com/in/chris-lattner-5664498a/) () Tim Davis (http://www.timdavis.com/about) Repeat Entrepreneur and Product Leader. Tim helped build, found and scale large parts of Google's AI infrastructure at (https://research.google/teams/brain/) Google Brain and Core Systems from APIs ((http://www.tensorflow.org) TensorFlow ), Compilers ((https://www.tensorflow.org/xla) XLA & (https://www.blog.google/technology/ai/mlir-accelerating-ai-open-source-infrastructure/) MLIR ) and runtimes for server (CPU/GPU/TPU) and (https://www.youtube.com/watch?v=Jjm7MT6W0Dc) TF Lite (Mobile/Micro/Web), (https://developers.google.com/ml-kit) Android ML & (https://source.android.com/devices/architecture/modular-system/nnapi) NNAPI , large model infrastructure & OSS for billions of users and devices. Loves running, building and scaling products to (https://www.youtube.com/watch?v=o623TB-mY6A) help people , and (https://www.youtube.com/watch?v=UT2noVDFoaA) the world . Connect with Tim Davis (https://twitter.com/iamtimdavis) (https://www.linkedin.com/in/timdavisau/) () Mostafa Hagog Mostafa is a seasoned engineering leader in high-performance computing. During his tenure at (https://www.nvidia.com/en-us/) NVIDIA , he served as Engineering Director and led teams to develop optimized deep learning libraries like cuDNN and CUTLASS, revolutionizing GPU-accelerated AI. At (https://www.sifive.com/) SiFive , as VP of Software, Mostafa assumed a leadership role guiding teams in the development of an MLIR/LLVM-based software stack for SiFive Intelligence & performance cores. His contributions also extend to optimizing (https://www.intel.com/content/www/us/en/homepage.html) Intel GPU hardware/software features, playing a pivotal role in developing the AVX1/2 SIMD ISA for Intel CPUs, and contributing to the GNU C Compiler. Mostafa holds a Master of Science in Electrical Engineering from the (https://www.technion.ac.il/en/home-2/) Technion , with a specialization in compiler optimizations. His unwavering passion for innovation continues to drive advancements in the field of high-performance computing. Connect with Mostafa Hagog (modular-26-5-mojo-1-0-is-here.html#) (modular-26-5-mojo-1-0-is-here.html#) () Kalor Lewis Kalor is Modular's VP, Finance and leads all our Finance operations. Prior to Modular, Kalor was a VP, Finance at (https://fivetran.com/) Fivetran where he was the first finance hire in 2018 and built out the companies entire finance function. Before Fivetran, Kalor was part of (https://www.palantir.com/) Palantir Technologies , where he scaled their strategic finance function. Connect with Kalor Lewis (modular-26-5-mojo-1-0-is-here.html#) (modular-26-5-mojo-1-0-is-here.html#) () Eric Johnson Product leader who has built and scaled AI applications and infrastructure. Eric led the TensorFlow API, Compiler, and Runtime teams at (https://research.google/teams/brain/) Google Brain and Core Systems, including the founding of (https://blog.tensorflow.org/2022/02/tfrt-progress-update.html) TFRT and the productionization of (https://github.com/google/jax) JAX . He holds an MBA from (https://www.wharton.upenn.edu/) Wharton and Computer Science MS from Penn and loves soccer, fitness, and the great outdoors. Connect with Eric Johnson (https://twitter.com/theericajohnson) (https://www.linkedin.com/in/ericallenjohnson/) () Mike Edwards Mike has spent over 25 years working in the fields of IT, corporate operations, and software development - most recently at Apple. Mike volunteers his time serving as a Board member with the (https://foundation.llvm.org/) LLVM Foundation , focusing on finance and operations. Mike truly believes in the power of AI to help address some of the world’s greatest needs. Connect with Mike Edwards (modular-26-5-mojo-1-0-is-here.html#) (modular-26-5-mojo-1-0-is-here.html#) Return to page No items found. (../../cdn.jsdelivr.net/npm/swiper@12/swiper-bundle.min.css)