Y Combinator(@ycombinator):At our latest YC Paper Club, researchers and builders presented on multi-GPU kernels, intelligence per watt, heterogeneous inference, and more. Thank you to our presenters: 0:00 – @FrancoisChauba1: The case for chip and kernel specialization 7:16 – @stuart_sul: Parallel Kittens - Systematic and Practical Simplification of Multi-GPU Al Kernels (https://t.co/4J8ejfQBX6) 21:29 – @JonSaadFalcon: Intelligence per Watt - Measuring the Intelligence Efficiency of Local and Cloud AI (https://t.co/ULvvcvlxL7) 31:05 – @MarkSaroufim: When Al Starts Writing Systems Code 47:04 – Misha Smelyanskiy: Why AI Inference Needs Heterogeneous Hardware 1:04:33 – @shacklettbp: Building a High-Throughput Game Engine that Runs ENTIRELY on the GPU (

2026.07.29 23:48

At our latest YC Paper Club, researchers and builders presented on multi-GPU kernels, intelligence per watt, heterogeneous inference, and more. Thank you to our presenters: 0:00 – @FrancoisChauba1: The case for chip and kernel specialization 7:16 – @stuart_sul: Parallel Kittens - Systematic and Practical Simplification of Multi-GPU Al Kernels ( 21:29 – @JonSaadFalcon: Intelligence per Watt - Measuring the Intelligence Efficiency of Local and Cloud AI ( 31:05 – @MarkSaroufim: When Al Starts Writing Systems Code 47:04 – Misha Smelyanskiy: Why AI Inference Needs Heterogeneous Hardware 1:04:33 – @shacklettbp: Building a High-Throughput Game Engine that Runs ENTIRELY on the GPU (

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