Chris Lattner @clattner_llvm
Building beautiful things like Mojo🔥 and MAX @Modular, lifting the world of production AI/ML software into a new phase of innovation. We’re hiring! 🚀🧠 nondot.org/sabre Joined June 2014-
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The era of trade-offs is over. Performance, portability, and cost efficiency now move together. With TensorWave + @Modular's MAX , enterprises can: ✅ Shift from @nvidia to @AMD Instinct™ MI355X in minutes ✅ Unlock throughput gains with MAX inference engine ✅ Lower TCO…
Chris stopped coding for a few weeks to raise $250m, then straight back to coding!🚀
Chris stopped coding for a few weeks to raise $250m, then straight back to coding!🚀 https://t.co/8O80H7OBhl
I'm proud to partner with @samofort , @kevbtu, Ramine and the entire team at DFJ Growth to help scale into the next epoch of Modular's journey. Their summary of the path ahead says it better than we do: 👇
Modular is one of the more interesting startups I’ve heard about in a long time and their goal is hyper-specific but increasingly important in the generative AI era: Improve the portability and performance of the software that runs on GPUs wired.com/story/semicond…
Congrats @clattner_llvm, @iamtimdavis and the @Modular team on their Series C! Proud to continue backing the team as they scale the world’s only truly unified AI infrastructure platform.
We raised $250M to accelerate building AI's unified compute layer! 🔥 We’re now powering trillions of tokens, making AI workloads 4x faster 🚀 and 2.5x cheaper ⬇️ for our customers, and welcomed 10K’s of new developers 👩🏼💻. We're excited for the future!
We beat Nvidia’s cuBLAS kernels on B200s in 170 LOC. Using zero CUDA. Just pure Mojo. Here’s exactly how we went from 1% to 106% of Nvidia benchmark perf from scratch (with code) 👇🧵
Honored to be highlighted in @Oracle and @OracleCloud's incredible Q1 earnings results🚀 Excited to keep crushing it for our customers and their most important AI workloads 🔥oracle.com/customers/earn…
Makes the case for @Modular. No need to reverse engineer Nvidia hardware to squeeze all the performance out of it. Just use @clattner_llvm’s AI stack. Bonus: your code will run on AMD too.
Makes the case for @Modular. No need to reverse engineer Nvidia hardware to squeeze all the performance out of it. Just use @clattner_llvm’s AI stack. Bonus: your code will run on AMD too.

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