Read below for the details in @CACMmag, a lovely highlight on how it came together: 👇 cacm.acm.org/federal-funding…

This success was enabled by multiple factors incl a modern modular compiler design principles and good mgmt over the years. That said, the most important ingredient of success was the ability to pull in talented engineers, to empower them to improve LLVM in countless ways, and to avoid dragging corporate politics into a supersized engineering project. I'm very proud of what LLVM and its community have grown into!

The @LLVMFoundation compiler infrastructure had humble beginning as a research project at the @UofIllinois led by @vadve and myself, but has grown to touch almost everything that computes.

Modular is live on @ArtificialAnlys with 3x faster image generation than the competition. MAX inference serving @bfl_ai’s FLUX.2-dev achieves state of the art latency per AA’s new benchmarking: artificialanalysis.ai/image/…

A pivotal moment for AI. As agentic workloads scale across data centers and edge, the industry needs a more open and modern software foundation. With @Modular, we are bringing developers an open AI-native software platform that runs across diverse compute environments and gives customers real choice in how and where they deploy AI.

Great day with @cristianoamon and @TonyPialis after @Qualcomm investor day. The future out heterogeneous compute is more exciting and more Open than ever!

Modular is still open sourcing Mojo this year, right on track. We can’t wait to share the details at ModCon, August 18th in San Francisco: modular.com/modcon

There is so much more to say and do, but please start by tuning in to Qualcomm Investor Day later today. From there, please join us at ModCon in August where we will share even more. Onward! 🚀

The acquisition by @Qualcomm enables us to accelerate our mission without deviating from supporting hardware from all vendors. This will accelerate our progress and path, and their vision is expansive: spaning edge to cloud, CPU, GPU, NPU, and custom ASICs and perhaps more.

Modular was founded 4.5 years ago to solve this problem. We've already integrated support for several hyperscale datacenter silicon providers - but we're not stopping with what's publicly announced. We've built an open platform, and are continuing to open it further.

In a world with a tremendous amount of innovative heterogenous AI hardware, there has always been a gap: existing fragmented software technologies weren't built to scale effectively across this hardware. This gap holds back innovation and choice, and make development painful.

I'm excited to share that Qualcomm is acquiring Modular: this will accelerate our path to unifying accelerated compute with an open platform. This will also mark a new era in open software development for Qualcomm. 👇

Modular 26.4 is out. Today's release brings state-of-the-art Mixture-of-Experts serving to Modular Cloud, expands MAX support for the newest open-weight models, and takes another step toward Mojo 1.0. Modular Cloud now supports the latest frontier models, including @MiniMax_AI's M3, @Zai_org's GLM 5.2, and @Kimi_Moonshot's Kimi 2.7. 26.4 also ships enhanced quantization and speculative decoding capabilities, extended Apple silicon GPU support, model bring-up via agent skills, and more. Dive into all the changes: modular.com/blog/modular-26-…

August 18: San Francisco: ModCon 2. Modular unveils its next step towards unlocking heterogenous AI datacenter compute, a big next step for Mojo🔥, and much more! Let's go 🚀

.@Zai_org just launched GLM 5.2: open weights for coding and long-horizon agents, usable 1M-token context. Live on Modular Cloud, Day Zero. Serving long context cheaply at high concurrency is hard. Solving it end to end, kernels through serving, is what we do at Modular. Congrats to the Z.ai team for a fantastic model: console.modular.com/signup Learn more: z.ai/blog/glm-5.2

New Speaker Announcement 🚀 Chris Lattner, Co-Founder & CEO of Modular, is joining The AI Conference 2026. Creator of LLVM, Clang, Swift, and MLIR, Chris has helped shape some of the most important technologies in modern computing. Today, he's focused on building the future of AI infrastructure at Modular. Join us in San Francisco to hear from one of the industry's most influential builders.

M3 from @MiniMax_AI is now live on Modular Cloud, day zero. Open weights, 1M-token context, multimodal. MSA is a new attn architecture and getting its performance benefits requires whole-stack optimization. That's what we built Modular for. Thrilled to be a launch partner!👇

Seoul showed up! Packed room, sharp questions, a special message from @clattner_llvm, and an intro to Mojo 🔥 and MAX. Our first developer meetup in Korea. Thank you to SqueezeBits for making this happen, and to everyone who came out.

At many thousands of sessions/day, getting sub-second TTFT without sacrificing accuracy is hard. MAX delivers where others cannot, and paves the way to swap to other accelerators without added complexity. Check out how they did it: modular.com/blog/hippocratic…

Amazing to see what the @Hippocratic AI team is achieving with MAX. Their Polaris agent runs patient care conversations and needs to complete every turn in under 800ms, with safety models analyzing in parallel. 👇