Uploaded February 2025 | Updated September 2026, 1 hour ago
Speaker: Erik Schultheis
Slides:
github.com/gpu-mode/lectures
GPU MODE
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Lecture 43: int8 tensorcore matmul for Turing
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![Lecture 75 [ScaleML Series] GPU Programming Fundamentals + ThunderKittens](https://i.ytimg.com/vi/Cl2B_hmg4gA/mqdefault.jpg "Lecture 75 [ScaleML Series] GPU Programming Fundamentals + ThunderKittens
Speakers: William Brandon (Anthropic) and Simran Arora (ThunderKittens)
Full Schedule: https://scale-ml.org/bootcamp/
The GPU MODE x Scale ML speaker series is a 5-day, online event hosted on the GPU MODE YouTube channel where top researchers in AI will talk about various architectural and system-level advances that are integrated into OpenAI’s frontier open-source model, GPT-OSS.
Each day will consist of ~2 hours of talks and discussions (around noon PST, may start at slightly different times each day so please check frequently), covering a different component of the evolving transformer stack—from quirks in the attention mechanism and positional encodings to quantization, MoEs, and custom GPU kernels.")
![Lecture 72: [ScaleML Series] Efficient & Effective Long-Context Modeling for Large Language Models](https://i.ytimg.com/vi/DFcKFDt0QEg/mqdefault.jpg "Lecture 72: [ScaleML Series] Efficient & Effective Long-Context Modeling for Large Language Models
Speaker: Guangxuan Xiao (PhD at MIT)
Full Schedule: https://scale-ml.org/bootcamp/
The GPU MODE x Scale ML speaker series is a 5-day, online event hosted on the GPU MODE YouTube channel where top researchers in AI will talk about various architectural and system-level advances that are integrated into OpenAI’s frontier open-source model, GPT-OSS.
Each day will consist of ~2 hours of talks and discussions, covering a different component of the evolving transformer stack—from quirks in the attention mechanism and positional encodings to quantization, MoEs, and custom GPU kernels.")
