Caroline Frasca

Community @ Modular

[Modular @Modular]

If you were starting from zero today, where would you invest your first dollar in AI infra? At ModCon 2026, we're asking five investors who already have full portfolios to answer anyway: @davemuni of @GVteam, @samofort of @DFJvc, Liz Stein of @USITfund, @quentinclark of @generalcatalyst, and @michhgonz of @Microsoft's @M12vc, moderated by @iamtimdavis.

Grab a ticket while supplies last: https://t.co/71Jt2wV9eI

[GitHub Projects Community @GithubProjects]

The Modular Platform unifies AI development and deployment with an open, fully-integrated suite of libraries and tools for model serving and GenAI scaling.

- Over 450,000 lines of code from 6,000+ contributors.
- Includes MAX GPU and CPU kernels, plus the Mojo standard library.
- OpenAI-compatible REST API and Kubernetes-ready containers for NVIDIA and AMD.
- Nightly `main` branch tracks builds, with stable `max/vX.X` release branches.

Explore it here:
https://t.co/muH5rZGQXz

[Modular @Modular]

Why would a company with one of the largest compute footprints in the world, from edge to cloud, acquire a startup built to enable hardware portability?

In an exclusive interview with @eetimes, our co-founder @iamtimdavis explains the thinking behind the @Qualcomm acquisition: heterogeneous compute is inevitable, and software has been the bottleneck.

We're still Modular. Same team, same mission, with more room to run.

Full interview: https://t.co/tDRAMojoBY

[Sascha Segan @saschasegan]

1. We are now more Modular - officially now working with the industry-leading, hardware-diverse AI software platform to break vendor lock-in (tool)chains! https://t.co/YTLF2AOCdU

[Don McGuire @donnymac]

Software is becoming one of the biggest differentiators in AI.

With @Qualcomm's acquisition of @Modular now complete, we're bringing together AI-native software and industry leading AI compute to help developers build, optimize, and deploy AI across a broad range of platforms. Welcome to the team, Modular.

https://t.co/ATuxOHj7UE

[Sycamore @0Neural34714]

Attending @Modular ModCon August 18th in SF. So excited.

[Modular @Modular]

Introducing the LLM Inference Handbook: a single resource that explains everything you should know before you deploy an LLM, from how LLMs work to how to pick the right GPU. It explains topics such as tokenization, KV cache, quantization, speculative decoding, disaggregated inference, and much more.

https://t.co/LKqlKYVR21

[Shubham Mishra 🐐 @shubh6200]

I hate @X algo when content like this doesn’t get the reach it deserves.

I want this to reach to the people who are building in modern AI infrastructure domain. Pretty solid resource.

[Austin Lyons @austinsemis]

@0xcarlisle @Modular Say more! I’m a modular believer

[Modular @Modular]

Mojo 101: From Syntax to GPU Programming [Session 3] https://t.co/AO728zR5cM

[€kemini @realEkemini]

The @Modular team is currently running a Mojo 101 series on YouTube!

It's a great way to learn the basics of Mojo and how to get started building with Mojo.

Check out the Mojo 101 series here:

https://t.co/JpzPPXXzqp

[R “Ray” Wang 王瑞光 #Cupertino #AI #Energy R.NFT @rwang0]

MyPOV: here’s the power panel that @roaner is moderating:

Chris Lattner @Modular @clattner_llvm
Ramin Hasan @liquidai @ramin_m_h
Hassan Akbari @sciforum @hassanience
@AMD #AMDAdvancingAI

[Ilya͇ͪ Ta̗͎ͭ̋̆ba͙̥̲̤̾̅̈ͩ̅̑ͧ͗̉̈́͜kh @ilyatabakh]

Tokens per second is a marketing metric. Megawatts per model is an engineering one.

That was the closing note from Hassan Albari (@sciforium) on the panel that opened @AMD #AdvancingAI 2026, alongside @clattner_llvm (@Modular) and @ramin_m_h (@liquidai), moderated by @roaner.

[Modular @Modular]

Mojo 101: From Syntax to GPU Programming [Session 2] https://t.co/QIMUVX3wh1

[Modular @Modular]

Live today at 12 PM PT: Mojo 101 Session 2 on value ownership and metaprogramming.

Taught by the engineers who built Mojo. Free to join, questions welcome in chat: https://t.co/aOaz4SkJvw

[Modular @Modular]

Mojo 🔥 has been busy this year. ModCon (Aug 18th in SF) is where we talk about what comes next for the language, and this isn't another beta update.

Grab a ticket. This announcement is better heard live than read in a changelog. 👀

Tickets: https://t.co/MHW4g1lFVA

[👩‍💻 Paige Bailey @DynamicWebPaige]

🙌 Huge fan of the work that the @Modular team has been driving, and am looking forward to hearing new updates! Hope to see y'all there:

[Caroline Frasca @CarolineFrasca]

Join us for the first session of Mojo 101! 🔥

[Modular @Modular]

Mojo 101: From Syntax to GPU Programming [Session 1] https://t.co/hdvR9BSxUD

[Modular @Modular]

Two chances to learn about our stack today at @aiDotEngineer World's Fair in San Francisco:

#1. MAX in Action: Sub-Second FLUX.2 on Any GPU - 11-11:30 AM at our booth (U-G28) with @ConorBronsdon, Technical Ecosystem Lead

#2. Modular: Taming the AI Hardware Cambrian Explosion - 3:45-4:05 PM at Expo Stage 1 NE with Abdul Dakkak, Chief Scientist

Want to talk about optimizing your team's inference stack IRL this week? Book time with us: https://t.co/hQ5RKFkamr

[Cristiano R. Amon @cristianoamon]

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.