@CuPy_Teami
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Drop-in replacement of NumPy and SciPy for GPU - Follow us for the latest updates! 🫶 Support us via GitHub Sponsors: https://nitter.cf/t.co/Xk2Syli21o
Joined June 2015
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Announcing CuPy v14! 🚀
🔹 NumPy v2 semantics
🔹 CUDA Pip Wheels support
🔹 bfloat16 & structured dtype
🔹 Enhanced NumPy/SciPy API coverage
Read more on our blog for the full details! 👇
Major ecosystem libraries like PyTorch and CuPy now build on the shared cuda.core foundation, reducing version conflicts and interop bugs for developers.
With CUDA 13.3, @nvidia released CUDA Python 1.0, the libraries and tools that give you the full CUDA platform from Python. Using standard CUDA context, devices, streams, and memory are shared with the rest of the Python GPU ecosystem, so your own kernels can run against CuPy arrays or PyTorch tensors without copying data.
Read the full blog post: bit.ly/4hcSu2C
CuPy v14.2 is out! 🎉
Highlights:
🔹 SciPy-compatible sparse array classes
🔹 Windows on Arm (RTX Spark) support
🔹 Initial integration with nvmath-python
Check the release notes for details 👇
🚀 CuPy v14.0.0rc1 is here!
Highlights include CUDA PyPI package compatibility (no system-wide CUDA Toolkit installation required) and AMD ROCm 7 support.
Test your workload with our pre-compiled packages and report any feedback! See the release notes for the full details 👇
Release notes: github.com/cupy/cupy/release…
⚡️A talk on CuPy will be presented at the SciPy 2025 conference! 🎉
Leo Fang, a long-time contributor, will share his personal story on #CuPy's evolution and future.
cfp.scipy.org/scipy2025/talk…
#SciPy2025
Also, there are more sessions and tutorials highlighting CuPy at SciPy 2025. Explore the full schedule at scipy2025.scipy.org/schedule!
One more thing - CuPy has just reached 10,000 GitHub stars! ⭐ A huge thank you to all our users, contributors, and everyone who has supported us on this incredible journey!
If you haven't yet, now's a great time to add your star 😉
github.com/cupy/cupy
Thanks for featuring, @StarHistoryHQ! nitter.cf/StarHistoryHQ/status/1…
10.1K ⭐️ CuPy is a NumPy/SciPy-compatible array library 📚 that enables GPU-accelerated computing in Python by serving as a drop-in replacement for existing NumPy/SciPy code. @CuPy_Team
star-history.com/#cupy/cupy&…
#starhistory #GitHub #OpenSource