Mako writes, optimizes, and deploys GPU code that reduces costs, speeds up AI, and feels like magic
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How It Works
Mako leverages an LLM agent to generate, validate, and inject custom GPU kernels into your PyTorch workloads, then serves them with SGlang or vLLM for blazing-fast inference.
Mako Kernel Agent
Generate GPU kernels that compile, are numerically correct, and run faster
Seamless PyTorch Integration
Automatically inject the kernel via torch.compile and deploy to SGlang or vLLM
Mako Optimization Platform
Auto-tune kernels and inference engine hyperparameters to maximize performance
Meet the Team
Over 30 years of experience bringing high performance AI from research into production.
Waleed Atallah
Chief Executive Officer
Lukasz Dudziak
Chief Technology Officer
Mohamed Abdelfattah, Ph.D
Chief Science Officer
Angels and Advisors
Jeff Dean
Chief Scientist at Google
Micah Villmow
Fmr. Principal SWE at NVIDIA, TensorRT
David Levy
Fmr. Startups at AWS
Abdel-rahman Mohamed
Head of AI at Rembrand
Nicholas Lane
Prof. at Cambridge University and CSO at Flower
Ben Fielding
Co-founder and CEO at Gensyn
Recent Blogs
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