
Mako
@mako_dev_ai
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AI-powered GPU kernel generation enabling continuous optimization and universal deployment
Joined January 2025
You can now generate GPU kernels in #CUDA and #Triton for any arbitrary PyTorch code you have. Give it a shot!.
MakoGenerate now supports custom problems, meaning you can generate #CUDA or #Triton kernels for any @PyTorch reference code you have! . Lets walk through an example using @GPU_MODE's latest contest: Triangle Multiplicative Update (TriMul) module
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@METR_Evals Level 5 covers more complex, real-world kernels, including DeepSeek MLA, among others. MakoGenerate wins on 4/14 kernels.
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@ScalingIntelLab KernelBench Levels 1 includes simple PyTorch operations like matmul or linear layers. MakoGenerate matches or beats torch.compile on 68/100 problems.
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MakoGenerate with Evolutionary Search is already creating production-quality #CUDA kernels that beat torch.compile and expert-written kernels on real world use cases. We'll be posting examples with code throughout the week, but a few highlights are below š§µ. (ps we're hiring)
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RT @wAIeedatallah: The research preview of MakoGenerate is available today, completely free. Keep reading to see what it does, how to try iā¦.
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Free @nvidia Blackwell GPUs for code generation and testing???? š how long can we keep this up???.
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And now with the latest @AMD's AITER library, there's even more performance to be unlocked! Exciting times ahead.
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Kernels Together Strong 𦧠Our last blog post showed how combining multiple kernel libraries can deliver state-of-the-art performance for AI models. We achieved up to 60% speedup on the FLUX.1-schnell model using #AMD MI300X GPUs! #AI #GPUOptimization
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