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CUDA Programming Course – High-Performance Computing with GPUs
Lecture 89: cuTile (from friends at NVIDIA)
Unlocking GPU Performance with CUDA Tile
Lecture 3: Getting Started With CUDA for Python Programmers
4 CUDA Tile Introduction
Katrina Riehl - GPU Algorithm Authoring with CUDA Tile | Pydata London 26
Tutorial: CUDA programming in Python with numba and cupy
Writing CUDA Kernels From Scratch
Bryce Adelstein Lelbach - cuTile, the New/Old Kid on the Block: Python Programming Models for GPUs
AirLLM Promises Huge Models On A Tiny GPU. HERE IS THE CATCH
Building AI Inference Pipelines in Python (Sponsor: NVIDIA)
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Last Updated: September 25, 2026
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Summary
With the largest advancement since the NVIDIA CUDA platform was invented in 2006, CUDA 13.1 is launching NVIDIA CUDA Tile ... The release of NVIDIA CUDA 13.1 introduces tile-based programming for GPUs, making it one of the most fundamental additions ... Join Cris Cecka and Mark Saroufim in GPU MODE to learn about the new release of PyCuTe, the reference implementation of ... I used to find writing CUDA code rather terrifying. But then I discovered a couple of tricks that actually make it quite accessible. Lean how to program with Nvidia CUDA and leverage GPUs for high-performance computing and deep learning. Code: ... Speakers: Mehdi Amini, Jared Roesch. Join Stephen Jones, one of the inventors and foremost experts in CUDA, for a live discussion about tile-based programming on ... Recording on Jeremy's YouTube youtube.com/watch?v=nOxKexn3iBo Supplementary Content: ... Katrina Riehl - GPU Algorithm Authoring with CUDA Tile Want to write your own GPU algorithms, but not sure how to Using the GPU can substantially speed up all kinds of numerical problems. Conventional wisdom dictates that for fast numerics ... We'll be diving straight into raw CUDA kernel development and building from the metal up, covering performance, and showing ... Block-based programming divides inputs into local arrays that are processed concurrently by groups of threads. Users write ... AirLLM claims it can stream massive models a 2.8 trillion parameter model onto a smaller GPU with under 4GB of VRAM, ... The world of generative AI is expanding. New models are hitting the market daily. The field has bifurcated between model training ...