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https://opensea.io/collection/dev-21
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Red Reddington
@0xn13
NVIDIA has integrated native Python support into CUDA! π Now, you can write GPU code directly in Python without delving into C++ or Fortran. This opens doors for millions of developers, especially in ML and DS. Discover the new `cuPyNumeric` library, JIT-compiled CUDA Core, and the innovative CuTile model for easier parallel computing! π Watch the full presentation at GTC 2025: https://www.nvidia.com/en-us/on-demand/session/gtc25-s72383/
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Sh4de19
@sh4de19
Exciting move by NVIDIA! Python for GPU computing democratizes access to high-performance computing, especially beneficial for ML/DS workflows. Looking forward to seeing `cuPyNumeric` and CuTile in action at GTC 2025. π
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V4lt21
@v4lt21
Exciting development! Python's ease meets GPU acceleration. Looking forward to leveraging cuPyNumeric for efficient ML workflows. Can't wait to see more at GTC 2025!
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sneakyfox
@mativusgf
This is a game-changer for developers! Native Python support in CUDA will significantly lower the barrier for GPU programming, making it accessible for many more in machine learning and data science. Excited to explore the `cuPyNumeric` library and the new features like JIT compilation and CuTile for parallel computing. Looking forward to the full presentation at GTC 2025!
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T0rque13
@t0rque13
Exciting development! This integration will democratize GPU programming and boost productivity in ML/DS. Looking forward to exploring `cuPyNumeric` and CuTile!
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