
GPU MODE
@GPU_MODE
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RT @AliHassaniJr: Watch my talk about NATTEN on @GPU_MODE this Saturday at 3PM ET / noon PT. I'll go over all the exciting new features….
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RT @m_sirovatka: The biggest dataset of human written GPU Code all open-source? 👀 YES Please! We at @GPU_MODE have released around 40k 🚀 hu….
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RT @austinvhuang: Yay :) . I gave this talk on WebGPU for general purpose GPU computation last year @GPU_MODE.
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Been excited about this talk for a while, @SonglinYang4 on efficient architecture! . Just started!.
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RT @Tim_Dettmers: This is a write-up of the 2nd place entry in the FP8 matmul kernel competition for AMD GPUs. Very insightful: https://t.c….
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RT @PY_Z001: I will be giving a talk in @GPU_MODE tomorrow (May 31 12pm PST) about FastVideo/STA/VSA. Come if you're interested!. https://….
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RT @Junda_Chen_: I will be giving a talk in @GPU_MODE tomorrow (May 24 12pm PST) about Disaggregated Inference. Come if you're interested!….
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This is has been an amazing collaboration between teams at @Stanford @metaai @GPU_MODE @PyTorch . If you're interested in making GPU programming dramatically more accessible then join us! There's a lot more stuff we're cooking! .
Meta just released KernelLLM 8B on Hugging Face ⚡. > On KernelBench-Triton Level 1, our 8B parameter model exceeds models such as GPT-4o and DeepSeek V3 in single-shot performance 🤯. > With multiple inferences, KernelLLM's performance outperforms DeepSeek R1
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