Скачать с ютуб GPU Programming in Pure Python - Talk Python to Me Ep. 509 в хорошем качестве

GPU Programming in Pure Python - Talk Python to Me Ep. 509

If you're looking to leverage the insane power of modern GPUs for data science and ML, you might think you'll need to use some low-level programming language such as C++. But the folks over at NVIDIA have been hard at work building Python SDKs which provide nearly native level of performance when doing Pythonic GPU programming. Bryce Adelstein Lelbach is here to tell us about programming your GPU in pure Python. ▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe. ▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Bryce Adelstein Lelbach ▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬ Bryce Adelstein Lelbach on Twitter: https://x.com/blelbach?lang=en NVIDIA CUDA Python API: https://github.com/NVIDIA/cuda-python Numba (JIT Compiler for Python): https://numba.pydata.org/ Applied Data Science Podcast: https://adspthepodcast.com NVIDIA Accelerated Computing Hub: https://github.com/NVIDIA/accelerated... NVIDIA CUDA Python Math API Documentation: https://docs.nvidia.com/cuda/nvmath-p... CUDA Cooperative Groups (CCCL): https://nvidia.github.io/cccl/cuda_co... Numba CUDA User Guide: https://nvidia.github.io/numba-cuda/u... CUDA Python Core API: https://nvidia.github.io/cuda-python/... Numba (JIT Compiler for Python): https://numba.pydata.org/ NVIDIA’s First Desktop AI PC ($3,000): https://arstechnica.com/ai/2025/01/nv... Google Colab: https://colab.research.google.com/ Compiler Explorer (“Godbolt”): https://godbolt.org/ CuPy: https://github.com/cupy/cupy RAPIDS User Guide: https://docs.rapids.ai/user-guide/ ▬▬▬▬ Dive deeper ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Listen to the Talk Python To Me podcast at https://talkpython.fm and explore over 275 hours of Python courses at https://training.talkpython.fm/courses. ▬▬▬▬ Follow us on Social ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Mastodon: Michael - https://fosstodon.org/@mkennedy & Talk Python - https://fosstodon.org/@talkpython Bluesky: Michael - https://bsky.app/profile/mkennedy.codes & Talk Python - https://bsky.app/profile/talkpython.fm