Building AI’s unified compute layer. We are hiring → modular.com/careers 🚀
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.@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: piped.video/watch?v=hYjKbTAG…
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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: piped.video/GZ_oM-nLGO0
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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/?…
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This week in Chicago, Mojo found The Bean, ate a pretzel half its size, and got to hang out with the whole Modular team at our off-site.
Want to come to the next one? We're hiring across Engineering, Product Management, Customer Engineering, and Developer Relations: modular.com/company/careers
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Headed to Santa Clara today for #AIInfraSummit?
Don’t miss @alisterburt's talk at 10:30 AM PT in Expo Theater 2: "Modular: Open Source, Open Cloud, Open Silicon."
Stop by the Qualcomm booth (#206) anytime this week during expo hall hours to chat with the Modular team and catch a Modular Cloud demo.
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Hippocratic AI cofounders @munjalshah and @debo_datta_ on the latency problem, from the ModCon keynote: piped.video/watch?v=hUSMA2r2…
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GLM-5.3 open weights are now public, and Modular Cloud has Day Zero support.
GLM-5.3 is the most capable open-weights model for coding, with a 50% improvement over GLM-5.2 on @Zai_org's Code Bench.
Try it today on Modular Cloud: console.modular.com/?utm_sou…
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Modular's price-performance on @Zai_org's GLM-5.2 (Non-reasoning) lands right on the Pareto frontier in @ArtificialAnlys' latest benchmark: near-top speed without the near-top price tag.
We're just getting started, and we're ready for GLM-5.3. Expect to see a lot more incredible results. 🚀
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We're the #1 trending repo on @github today.
The Mojo compiler went open source at ModCon this week, and developers noticed fast.
Thank you to everyone who joined us in person and online. If you missed the keynote, the full recording is live on our YouTube channel:
piped.video/4Hw7PeIsFPo
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That's a wrap on #ModCon2026!
Mojo 1.0 shipped as open source, Modular Cloud launched, and several hundred engineers spent the day pondering the hardest problems in AI infrastructure.
Thank you to everyone who joined us in San Francisco and on the livestream.
Catch the replay on YouTube: piped.video/watch?v=Yvb_G2Dr…
And enjoy these super fun pics created at our FLUX booth!
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In just a few minutes, @dylan522p and @_micah_h address the gap between the story the industry tells about AI progress and what their data shows, in our AI Analyst Perspectives fireside chat at #ModCon2026. Join the livestream and share your reactions in the chat:
piped.video/watch?v=Yvb_G2Dr…
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TTune in live now: piped.video/watch?v=Yvb_G2Dr…
Right now: Modular Cloud Deep Dive - How do we achieve performance under the hood?
Up next: Five investors, thirty minutes, one question: where is AI infrastructure capital going next? GV, General Catalyst, DFJ, USIT, and M12 represented.
#ModCon2026
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And if you want to dig deeper into the announcements we shared this morning, tune into the ModCon livestream and explore the full announcements blog:
Livestream: piped.video/watch?v=Yvb_G2Dr…
Blog: modular.com/blog/modcon-anno…
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Today, we open sourced Mojo 🔥.
Announced just now during the ModCon keynote, effective immediately, Apache 2.0 License.
Thank you to our community for waiting patiently and building alongside us.
#ModCon2026
Full blog: modular.com/blog/mojo-open-s…
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Keynote starting in a few minutes! Let us know where you're joining from in the livestream chat:
piped.video/watch?v=Yvb_G2Dr…
#ModCon2026
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ModCon 2026 is open! Badges are printing, coffee is hot, and the livestream kicks off at 9 AM. Join us virtually from anywhere to hear the big announcements!
piped.video/watch?v=Yvb_G2Dr…
#ModCon2026
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Our biggest product announcements of the year land tomorrow in the ModCon 2026 opening keynote. 9:00 AM PT.
Chris Lattner, Tim Davis, Eric Johnson, and Mostafa Hagog deliver The Unified AI Compute Layer, alongside Cristiano Amon and Rashid Attar of @Qualcomm, Anush Elangovan of @AMD, and Darko Todorovic of @HTECgroup.
If you only watch one thing from ModCon, watch this.
Free livestream: luma.com/modcon-livestream
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MiniMax designed H3 for hardware compatibility from the earliest stages, then opened the weights so people could run it across even more silicon.
Morgan Suo, Head of US Business Development at @MiniMax_AI, joins ModCon '26 to share what open-weight omni-context generation enables for AI video.
Aug 18, Grand Hyatt SF. Register for the livestream: luma.com/modcon-livestream
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Building frontier models involves a hundred decisions rarely discussed publicly: when to stop scaling, what data to keep, how to differentiate, whether to release the weights.
On August 18th at ModCon '26, Paige Bailey of @GoogleDeepMind, Joseph Spisak of @reflection_ai, Victor Su-Ortiz of @MiniMax_AI, and Varun Randery of @poolsideai are talking through the challenges of the industry from four different vantage points.
Register for the livestream: luma.com/modcon-livestream
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Most data centers were built on old assumptions: big training jobs, homogeneous fleets, and plenty of time to plan capacity. Inference broke all three.
At ModCon '26, Jay Jackson (SVP, @OracleCloud) and @jtatarchuk (Co-Founder & CGO, @tensorwave) join us for a fireside chat to weigh in on the future of the data center.
Catch the conversation via livestream: luma.com/modcon-livestream
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.@_micah_h of @ArtificialAnlys and @dylan522p of @SemiAnalysis_ know more about the current state of AI compute than almost anyone. They're both joining our Analyst Perspectives fireside chat at ModCon on August 18th. Moderated by our own @iamtimdavis.
Register for the livestream or grab a spot on the in-person waitlist to hear their hot takes on where the industry is headed:
luma.com/modcon
luma.com/modcon-livestream
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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: luma.com/modcon
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Missed week 1? Catch the recording on our YouTube channel, and leave your questions in the comments: piped.video/watch?v=1Jqp0Bhe…
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Session 1 of Mojo 101 streamed yesterday, and the turnout was great. Our live chat was full of insightful questions.
If you missed it (or want to rewatch), the recording of Language Fundamentals is up now on YouTube: piped.video/watch?v=1Jqp0Bhe…
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ModCon '26 brings together the people setting the direction for AI infrastructure. Hear from @clattner_llvm, @Qualcomm's @cristianoamon, @GoogleDeepMind's @DynamicWebPaige, @SemiAnalysis_'s @dylan522p, and more.
Grab your ticket: modular.com/modcon?utm_sourc…
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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/…
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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: modular.com/aie-2026?utm_sou…
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Mojo Quest launches today! Mojo Quest is a browser-based game for learning Mojo syntax by closing engineering tickets for a fictional robotics company.
quest.mojolang.org/
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We had a blast at the official @aiDotEngineer hackathon with @cerebral_valley, @GoogleDeepMind, @MiniMax_AI, @digitalocean, @MongoDB, and @livekit. Thanks to everyone who came out and hacked with us!
We're at Booth UG28 all week at AI Engineer World's Fair. Want to see how Modular Platform could optimize your company's stack? Grab time with our team here: modular.com/aie-2026
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ModCon is back.
August 18th. San Francisco.
A full day of AI infrastructure talks, launches, and workshops, with speakers including @dylan522p of @SemiAnalysis_ , @jerryjliu0 of @llama_index, @DynamicWebPaige of @GoogleDeepMind, and @sidsheth of @dMatrix_AI.
Limited spots. Early-bird pricing ends July 1st.
Get your ticket: modular.com/modcon?utm_sourc…
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GLM 5.2 is built for long-horizon tasks - get all the benchmarks and learn more about the model in @Zai_org's great blog post: z.ai/blog/glm-5.2
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.@zai_org open-sourced GLM 5.2 today, and Modular is a Day Zero launch partner.
GLM 5.2 is their new flagship for coding and long-horizon agentic work, with usable 1M-token context built for tasks that run long and call a lot of tools.
Serving a model like this well is a full-stack problem. As context grows, the KV cache grows with it, and doing it economically at high concurrency takes more than a config flag. The Modular stack optimizes the path from GPU kernels to serving, which lets us run frontier open models on Day 0 with the utilization and economics agent workloads need.
It's available on Modular Cloud now. Request access: console.modular.com/signup
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.@iamtimdavis built a retro platformer where the terrain is generated by SIMD kernel computation.
Meet GPU Boost Adventure. A neon, CRT-flavored endless runner. boost.modular.com
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M3 open weights from @MiniMax_AI just dropped, and Modular is a Day Zero launch partner.
1M-token context. Text, image, and video input. Built for long-running agent and coding workloads.
Read our full announcement: modular.com/blog/day-zero-mi…
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Our kernel team has been deep in MiniMax M3 all week. The 1M-token context and native multimodality make it a hard model to serve well, which is exactly the kind of problem we like!
When the open weights drop in the next few days, you'll be able to run it on Modular right away.
Stay tuned for @MiniMax_AI x Modular.
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Don't see your company? Drop your URL and watch it generate: inkwell.modular.com/founders…
If you're deploying image gen at scale, our team wants to hear what you're building: modular.com/request-demo
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Working through our GPU Puzzles? Don't sleep on our companion YouTube series that walks through puzzles 1 through 5. Follow along, pause, and rewind to make sure you grok the solution: piped.video/watch?v=-VsP4kT6…
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At @AMD AI DevDay, @clattner_llvm showed that AMD MI355X paired with Modular platform delivers equivalent image gen performance to Blackwell at 5.5x lower total cost.
Watch Chris' luminary talk: piped.video/watch?v=FjFC__Hx…
Thanks again to @AIatAMD for a great event!
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In the latest Modular Tech Talk, Mojo Compiler Engineer Billy Zhu presents Mojo's attribute-based expression system and how it enables Mojo's powerful type-safe meta-programming:
piped.video/4DKInnobCjY
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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.
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The MAX-LLM book just made it even easier to build an LLM from scratch.
The new notebook format lets you run the GPT-2 components interactively, inspect real tensor shapes, and generate text from pretrained weights.
Prefer to browse first? The pre-rendered version shows all outputs without running a cell:
github.com/modular/max-llm-b…
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For engineers: hit the </> button in Inkwell and dev mode stays on across every page.
You'll see exactly how fast each image is generating in real time: latency, tokens/sec, and more. Powered by Modular Cloud.
Try it at inkwell.modular.com
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Every Inkwell story stars a character you build. Pick the species, the hair, the outfit. Watch them come to life across an endless branching story, illustrated on every page.
Make yourself the hero at inkwell.modular.com. Tag us in what you create. We're sending swag to our favorites.
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Our cofounder @iamtimdavis built an AI storybook app using @BlackForestLabs' FLUX2 and @googlegemma 4 on Modular Cloud. Pick a character, make choices, and the story branches endlessly, with every page written and illustrated in real time.
Tim has spent his career obsessing over inference latency, first at Google, now at Modular. Building something his kids use settled it: in a real-time generative app, the inference platform determines the experience as much as the model.
The numbers back that up. From 24 hours of production traffic: first prose in 420ms, a full illustration in under 6 seconds, 85% of page turns in 48ms.
Create your own story with Inkwell and share it. We're sending swag to our favorites: inkwell.modular.com/
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"The people who see the most pain are the people writing at the low level and optimizing at the low level. So that's why we love Mojo and MAX - we think that's a way to compete on the same level playing field."
- Ramine Roane @roaner, CVP of AI at @AMD, at Full Context, our reception with AMD before their AI DevDay
This is the conversation we built these events for. Subscribe to our events calendar: luma.com/modular-ai
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Nerdearla @nerdearla is the largest free tech event in the Spanish-speaking world. This year, @clattner_llvm talked about why the AI stack is broken and what we're doing to fix it with Mojo and MAX. Catch the recording on YouTube: piped.video/watch?v=Kw2FLI7L…
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We're on the floor at @AMD AI DevDay! Stop by our booth to talk high-performance inference with AMD + Modular, and don't miss @clattner_llvm's luminary talk at 3:10 PM.
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Two days left until @AMD's AI DevDay! Don't miss @clattner_llvm's luminary talk covering how we fused FLUX.2 into a single execution graph, with a 3.8x speedup torch.compile on MI355X, under 3.5s per image, sub-700MB container. Plus, 5.5x lower cost than running on competing hardware.
Stop by the Modular booth to connect with our team, learn about open roles, and score swag.
Grab your spot: amd.com/en/corporate/events/…
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Missed today's community meeting? The recording is now on our YouTube channel: piped.video/watch?v=0gOGXHTQ…
Tune in to hear about Mojo support on Tensara and ffmpeg Mojo bindings. Built by the community, presented by the builders. Plus, catch Q&A at the end with the team.
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Most serving stacks run FLUX.2 as four separate stages with Python overhead between each one. We collapsed all four into a single fused execution graph using MLIR-based compilation.
On @AMD MI355X, that means a 3.8x speedup over torch.compile, 1024x1024 images in under 3.5 seconds, and a deployment container under 700MB. We ran the same pipeline on Blackwell, too. AMD delivers equivalent generation quality at a 5.5x lower cost.
@clattner_llvm is presenting the full breakdown at AMD AI DevDay. Register: amd.com/en/corporate/events/…
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We sat down with Kyle Caverly, an AI Performance Engineer on the MAX serve team, to walk through what actually happens inside an inference server from prompt to response.
All the code discussed is open source.
piped.video/hewZwTwDBcM
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Our VP of Engineering Mostafa Hagog takes the stage at @TensorWave's Beyond Summit today at 2pm.
Come hear Mostafa talk Mojo 🔥, MAX, and heterogeneous compute: how they fit together as a platform for teams tired of rewriting the same inference stack every time the hardware changes.
Come find us if you're attending!
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Shared memory is where GPU programming gets real. Puzzle 8 walks through what happens when you have fewer threads than data, and how Mojo 🔥 handles it two ways: raw memory and LayoutTensor. Video walkthrough: piped.video/watch?v=1IRcXxXP…
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Tomorrow at @tensorwave's Beyond Summit: our VP of Engineering Mostafa Hagog shows how we run the same codebase on NVIDIA and AMD. 4.1x image gen speedup. 99% lower cost per image than Nano Banana. Stop by Mostafa's talk at 2 PM tomorrow: luma.com/g03nmrq8?tk=GEbwIp
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There's a version of AI infra where switching hardware vendors doesn't mean a multi-quarter rewrite. Modular built toward that from day one. Our VP of engineering, Mostafa Hagog, will be at Beyond Summit to show what it looks like: 4.1x image gen speedup, 99% lower cost per image than Nano Banana, and NVIDIA and AMD support from the same codebase👇
luma.com/g03nmrq8
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Gemma 4 is live on Modular Cloud, day zero, with the fastest performance on both NVIDIA and AMD. Our MAX inference framework delivers 15% higher throughput vs. vLLM on B200, and we’re the only inference provider to ship @googlegemma 4 on a framework we built ourselves.
Two multimodal models live now: Gemma 4 31B (dense, 256K context) and 26B A4B (MoE, only 4B params active per pass). Both SOTA on Modular Cloud: modular.com/blog/day-zero-la…
Modular Cloud runs on MAX, our inference framework that unifies GPU kernels, graph compilation, and high-performance serving in a single hardware-agnostic stack. New weights to SOTA deployment in days, on two hardware platforms: modular.com/request-demo?utm…
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Mojo 🔥 GPU Puzzle 07 is live 🧩
This puzzle gets into 2D block and thread layouts, handling matrices bigger than a single block, and converting between 2D and linear memory. The concepts that make GPU programming click.
Watch it here: piped.video/watch?v=cIoxB1ql…
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Our March community meeting recording is now live!
Recap includes: community member Mohamed Mabrouk on BlazeSeq, a zero-copy GPU-friendly FASTQ parser written in Mojo 🔥 hitting 5+ GB/s, variadic metaprogramming in Mojo and 26.2 release overview.
piped.video/watch?v=Sur7e3zg…
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Image gen in <1s 🤯
You asked for a demo - here's @iamtimdavis showing Flux 2 Dev on the Modular stack. Reach out to us if you're interested! 🚀
But thats not all - video generation is coming ⬇️
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Behind the scenes at @NVIDIAGTC: @clattner_llvm and @LambdaAPI's Sam Khosroshahi on how Modular and Lambda are shaping the future of AI infra. Full conversation dropping soon on Lambda's YouTube: piped.video/@lambda-ai
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The bottleneck for most large open model deployments isn't the model. It's everything around it. Slow first-token latency, unstable tail latency, GPU utilization that falls apart under load, and the operational complexity of keeping it all running. That's the problem we've been solving. DeepSeek V3.1, state-of-the-art throughput, low latency, fully managed on MAX and Mojo 🔥 on NVIDIA Blackwell GPUs. Come get a first look at @NVIDIAGTC, Booth #3004
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#NVIDIAGTC is in full swing. We've demoed DeepSeek and FLUX-2 on B200s, talked Mojo kernels with hundreds of developers, and hosted a dinner with the most interesting minds in AI. There's still time left to stop by Booth #3004!
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MAX (AKA @iamtimdavis) is at Booth #3004 this week, suited up and ready to talk AI inference, hand you a Modular tote bag, and launch you back into orbit. No rocket science required. @NVIDIAGTC
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The top three learning resources we're sharing with attendees at our @NVIDIAGTC booth this year: 1. Structured Mojo kernels blog series, 2. Mojo GPU puzzles, and 3. MAX LLM book. Links in thread 🧵 👇
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We're live at @NVIDIAGTC! 👋 Find us at Booth #3004, San Jose Convention Center. We'll be here all week running live GPU demos on NVIDIA Blackwell. Come see MAX + Mojo 🔥 in action. #NVIDIAGTC
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GPU kernel development doesn't have to mean thousands of lines of interleaved pipeline, memory, and compute logic.
Structured Mojo Kernels Part 2 walks through how separating those concerns into three components with hard boundaries simplifies the codebase, makes kernels easier to maintain, and keeps the same structure working across NVIDIA and AMD hardware generations.
modular.com/blog/structured-…
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Our team is heading back to @NVIDIAGTC this year, and we're looking forward to seeing you on the expo hall floor!
Last year, our booth was packed with engineers curious about how Mojo🔥 and MAX are making cross-platform GPU programming faster, easier, and more performant. This year, the whole team is ready to dive deep on Mojo, MAX, and even a sneak preview of Modular Cloud 👀
Stop by, ask questions, and claim your swag!
#NVIDIAGTC
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A look at our booth from @NVIDIAGTC last year. We're back on March 16-19 at Booth #3004 in San Jose, pushing the frontier on NVIDIA Blackwell. Stop by to see the latest in Mojo 🔥 and MAX, state-of-the-art inference on NVIDIA Blackwell, and AI-assisted kernel development in action.
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GPU Puzzle #6: implement a kernel that adds 10 to each position of a vector. The solution is just 3 lines, and getting there requires understanding global thread indexing and what breaks when you skip the bounds check. 🤔 Full walkthrough in our new video: piped.video/K0xCiTf4754
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You shouldn't have to choose between peak GPU performance and code you can actually maintain. We built Structured Mojo 🔥 Kernels to fix that. Performance, usability, and portability without the tradeoff. 14k to 7k lines. ~1.8k TFLOPS held. We wrote a 4-part series on how. Part 1 is up modular.com/blog/structured-…
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MAX is how Modular is rethinking the AI stack from first principles, bringing together modeling, performance, and portability in one open framework. Hear directly from our co-founder and CEO @clattner_llvm on why the stack needs to evolve and what that means for the future of AI infrastructure.
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We're heading to @NVIDIAGTC 🙌 Find us at Booth #3004, March 16-19 in San Jose, CA. Get a first look at Modular Cloud, now in early access, with DeepSeek V3.1 serving live. Plus live Mojo 🔥 GPU programming on NVIDIA Blackwell, the latest AI models in MAX, and AI-assisted kernel development. All powered by Mojo 🔥 and MAX, a simpler way to hit SOTA performance across heterogeneous hardware.
Come for the GPU code, stay for the swag and a @clattner_llvm sighting 👀
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The multi-platform problem has a lot of potential solutions. In his talk at CODAI 2026, open source contributor Maxim Zaks proposes Mojo 🔥 as the answer, walking through compile-time generics, cross-GPU dispatch, and where MAX fits in: piped.video/watch?v=Wi6xnD-8…
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Join us today at 9:30 AM PT in the Modular forum for an Ask Us Anything session with @clattner_llvm and @chaoyu_ about our recent acquisition of @bentomlai! We'll answer your questions live and share our vision for the future. 🔮
forum.modular.com/t/modular-…
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Modular has acquired @bentomlai! 🤝 10K+ orgs use BentoML for production AI, including 50+ Fortune 500 companies. We're pairing their deployment platform with MAX + Mojo's hardware optimization. BentoML stays open source (Apache 2.0), and we’re doubling down on OSS in 2026. Ask BentoML founder @chaoyu_ and @clattner_llvm anything on Feb 17 at 9:30am PT. Get all the details: modular.com/blog/bentoml-joi…
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🚀 Making LLMs faster and smarter! In our latest Modular Tech Talk, @brendanwduke explains how MoE serving balances speed and quality in large-scale models. Watch the full talk👇
piped.video/watch?v=KJkN3lcf…
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Efficient GPU code starts with correct data mapping.
Our latest GPU Puzzle Tutorial shows how to operate on 2D matrices in Mojo, with a focus on correct thread indexing, bounds checking, and clean memory access patterns.
Watch now ⬇️
piped.video/watch?v=EjmBmwgd…
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Crashes and corrupted data in GPU kernels often come from out-of-bounds memory access.
Puzzle 03 in the Mojo🔥 GPU Puzzles series shows how guard conditions prevent this with just a few lines of code.
Watch the full tutorial ⬇️
piped.video/watch?v=YFKutZbR…
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