GPU MODE

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GPU MODE

GPU MODE

@GPU_MODE

Your favorite GPU community

gpumode.com Katılım Eylül 2024
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GPU MODE
GPU MODE@GPU_MODE·
NVIDIA cuDNN team tomorrow at noon
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GPU MODE
GPU MODE@GPU_MODE·
Codex is so good at writing kernels that it felt appropriate to do a Codex only kernel competition. Metal is great because you'll be able to tangibly feel the perf improvements in your local models
Ben Burtenshaw@ben_burtenshaw

Humanity's Last Hackathon is NOW OPEN for registration. This is not a normal hackathon. You will be judged on the context, not the code! Use Codex @OpenAIDevs to build and optimize models for local inference (kernels on Max metal). Submit through @GPU_MODE. Climb the leaderboard. Top performers qualify for the final battle. Launches May 4th. Registration is live now.

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GPU MODE retweetledi
Ben Burtenshaw
Ben Burtenshaw@ben_burtenshaw·
Humanity's Last Hackathon is NOW OPEN for registration. This is not a normal hackathon. You will be judged on the context, not the code! Use Codex @OpenAIDevs to build and optimize models for local inference (kernels on Max metal). Submit through @GPU_MODE. Climb the leaderboard. Top performers qualify for the final battle. Launches May 4th. Registration is live now.
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GPU MODE
GPU MODE@GPU_MODE·
GPU MODE cited on @tbpn - thank you for the plug @AnushElangovan !! We hope to continue making GPU programming more accessible to everyone!
TBPN@tbpn

AMD's @AnushElangovan explains why he thinks his company's open source ethos combined with agentic AI superpowers their leverage as a company: Because AMD publishes a lot of technical details about its hardware, when engineers use AI tools, the models already “understand” AMD’s systems and can help write code for them, debug them, or even generate new tools. And that makes developers more productive on AMD hardware without AMD having to do all the work internally. "AMD has had this ethos of open source, which really plays to our advantage. Every frontier model that I use has already seen every bit of AMD source code." "It'll rewrite my spec for me because it's already in the training data. Which you can't get from closed ecosystems." "In fact I built a virtual GPU simulator just based off our public specs, and now I'm running it on the GPU. So now I can run cross-generational GPU simulations on existing hardware." "We have that advantage. And we've run a Dev Day contest where we generated more tokens on AMD — Triton kernels and HIP kernels — than existed on the internet at the time." "So now that's all part of the pre-training data. It's a superpower because now you're open source, and you're agentically accelerating this process."

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GPU MODE
GPU MODE@GPU_MODE·
We helped host a kernel competition for @tri_dao's course at Princeton's COS 484: Natural Language Processing If you're a university or educator that's interested in live programming problems for your students please reach out!
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Reuben Stern
Reuben Stern@ReubenConducts·
My colleagues Jack Carlisle and Jay Shah gave a fantastic lecture for @GPU_MODE yesterday on our categorical foundations for CuTe layout algebra! They were joined by Cris Cecka, the inventor of CuTe, and @marksaroufim as moderators. Bravi tutti! youtu.be/MVh_guNbWMA?si…
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GPU MODE
GPU MODE@GPU_MODE·
Jack Carlisle & Jay Shah talk on the Fundamentals of CuTe Layout Algebra. Special guest Cris Cecka See you soon! youtube.com/watch?v=8QfQd8…
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Pieter Delobelle
Pieter Delobelle@pieterdelobelle·
our "@pleiasfr and friends" team got second place at the @GPU_MODE hackathon in Paris last week! 🥈 we had a lot of fun optimizing our training throughput, so trying out 8 bit training, muon, RoPE/NoPE, conv architectures, ... Basically nanogpt speedrunning on B300s.
Pieter Delobelle tweet media
Verda (formerly DataCrunch)@verdacloud

We’re sponsoring a @GPU_MODE hackathon in Paris on April 9, to conclude the PyTorch Conference Europe 🇪🇺 Our grand prize? 48 hours on GB300 NVL72. Join us with the teams behind @PyTorch, @PrimeIntellect, @SemiAnalysis_, @sestercegroup, and more! luma.com/gpu-mode-paris…

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GPU MODE
GPU MODE@GPU_MODE·
We're back on schedule Tuesday April 14 at 9am PST we'll have a talk from Andrei Panferov and Erik Schultheis on their improved recipe for nvfp4 pretraining. They'll cover both math and kernels youtube.com/watch?v=HB4up2…
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PyTorch
PyTorch@PyTorch·
GPU MODE (@GPU_MODE) & PyTorch Foundation are organizing an ML systems hackathon in Paris on April 9, immediately following PyTorch Conference Europe 2026. Researchers and engineers will compete across two tracks: -Distributed training (LLM speedrun) and inference optimization (leaderboard) - Access to a B300 cluster from Verda and H200 instances from Sesterce - Cloud credits as prizes, including 48-hour access to a GB300 NVL72 rack - Talks from PyTorch (Helion), vLLM, Prime Intellect, and more - Food and refreshments Doors open at 9:30, with the closing ceremony at 20:00. Attendees can join with a pre-formed team or match on-site. Location details are shared upon registration. Spots are limited. Register: luma.com/gpu-mode-paris… #OpenSourceAI #PyTorchCon #PyTorch #vLLM #Helion
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GPU MODE
GPU MODE@GPU_MODE·
Closing up GTC week with one of favorite returning guests Kapil Sharma who will talking about how to learn CUTLASS the hard way youtube.com/watch?v=_ZOK0W…
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Matej Sirovatka
Matej Sirovatka@m_sirovatka·
What’s the best model you can train in a day if someone hands you a pile of Blackwell GPUs? You can try out yourself On April 9 in Paris, @GPU_MODE + @verdacloud + @sestercegroup are hosting a GPU hackathon with a bunch of GPUs to run on and even more of them for the winners.
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