It’s day 2 of @PyTorch Conference! Today is your last chance to stop by the Modular booth (#3). If you missed @clattner_llvm's talk, come find us and we’ll walk you through our stack and answer your questions. We’d love to hear about what you’re building and give you a Modular shirt.

#PyTorchCon kicks off today, and we’re excited to spend the next two days with the PyTorch community. In a few hours, @clattner_llvm delivers a keynote: “MAX and Mojo: The Best Way to Extend PyTorch” (9:35 AM, Grand Ballroom). This afternoon, Stef Lindall goes deep on how we compile fast kernels for whatever hardware you’re running (4:20 PM, Room 210B). Throughout the conference, you can find us at booth #3 to talk accelerators, compilers, and open roles. Stop by today to grab a MAX and Mojo T-shirt while supplies last.

The Modular team is heading to the 2026 @llvmorg LLVM Developers’ Meeting in Santa Clara on Oct 26–28. On Monday, the Mojo team is running a full-day workshop on Mojo internals and the roadmap. Bring your hardest questions about how the language works under the hood. On Wednesday, Spenser Bauman explains how MAX emits device graph construction code with its MLIR/LLVM graph compiler instead of relying on vendor record and replay support, which lets it support a broader range of accelerators. We’re sponsoring alongside Qualcomm all week. Our recruiting team will be at the booth if you'd like to explore open roles.

Chris Lattner keynotes #PyTorchCon on Tuesday: “MAX and Mojo: The Best Way to Extend PyTorch.” @clattner_llvm will cover how we’re helping developers run their models across a wider range of hardware. He’ll also share an early look at how the broader ecosystem can build on MAX with us. After his keynote, swing by the Modular booth (#3) for demos and swag.

#PyTorchCon starts next Tuesday! On day one, Stef Lindall, Principal Engineer at Modular, will cover how MAX lets you write fast kernels for any chip and compile them just in time. Oct 20, 4:20 PM, Room 210B. Find the Modular team at booth #3 on both days for live demos and swag. events.linuxfoundation.org/p…

The best inference config depends on your model, your hardware and your traffic, and all three keep changing. Settings that were ideal last week are rarely the right ones today. Tonight at @MiniMax_AI's #SFTechWeek research night, Modular AI Performance Engineer Tyler Kenney is talking about self-tuning ML inference systems, exploring how we can teach inference systems to tune their own settings. 📍 UpScaleX, San Francisco 🗓 Thursday, Oct 8 · 5:30–8:30 PM PT RSVP: partiful.com/e/DKY1zYjyuOvMf…

Compute is becoming increasingly heterogeneous, and programming it currently means juggling various languages. The goal of Mojo is to provide a single systems language for the heterogeneous era. Tomorrow at SPLASH 2026 in Oakland, @clattner_llvm will deliver a keynote focused on two foundations of Mojo: parametric metaprogramming and an ownership model built on origins. He'll also touch on the open language design problems that remain to be solved. 2026.splashcon.org/details/s…

.@dMatrix_AI had matrix multiplication running in Mojo on their Corsair accelerator 6 days after getting access to the Mojo compiler. At ModCon 2026, our Chief Scientist Abdul Dakkak walked through why this was possible with the Modular stack: youtube.com/watch?v=hYjKbTAG…

Are models commoditizing? We asked four panelists at ModCon, from Google DeepMind, MiniMax, Poolside, and Reflection AI, and asked where they see innovation coming from, whether that's data, post-training, or somewhere else: youtu.be/GZ_oM-nLGO0

Our cofounder and CEO @clattner_llvm takes the keynote stage at The AI Conference @AIconference tomorrow at 10:05 AM in Theater 1. His talk, "Opening the AI Compute Stack with MAX and Mojo," covers why the software layer will decide the future of AI compute. He'll introduce Mojo 1.0, now fully open source under Apache 2.0, explain how MAX delivers portable performance across hardware, and cover how you can get involved to build a more open future for AI: agenda.45-77-127-32.nip.io/?…