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

Описание: 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.

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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/



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