CuPy
@CuPy_Team
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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://t.co/Xk2Syli21o
Joined June 2015
CuPy v13.6 is out, now with CUDA 13 support! 🚀 Install with: pip install cupy-cuda13x
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Also, there are more sessions and tutorials highlighting CuPy at SciPy 2025. Explore the full schedule at https://t.co/ypbYJYB4dn!
scipy2025.scipy.org
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⚡️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. https://t.co/R1lcHUNSQu
#SciPy2025
cfp.scipy.org
This talk walks all Pythonistas through recent CuPy feature development. Join me and hear my story on how an open-source novice started contributing to and helping CuPy over the years grow into a...
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📢CuPy v13.5 is out! CuPy now supports CUDA 12.9, ROCm 6.4, and NumPy 2.3. This release also brings Unified Memory Programming support for NVIDIA’s Grace Hopper systems. Check out the full release notes 🧵
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Thanks for featuring, @StarHistoryHQ!
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
https://t.co/d0IYUmjW2h
#starhistory #GitHub #OpenSource
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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 😉 https://t.co/yYS2EUYm7K
github.com
NumPy & SciPy for GPU. Contribute to cupy/cupy development by creating an account on GitHub.
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🚀 The first alpha release of CuPy v14 is now available! The v14 series provides the behavior aligned with the latest NumPy 2 specification, as well as numerous new NumPy/SciPy-compatible APIs. Binary packages are ready to try! Explore the release notes for all the details ⬇️
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v13.4.1 hot-fix release is now out, including a fix for the DLPack compatibility issue with existing code. https://t.co/yIjycNJmW7
github.com
This is the release note of v13.4.1. This is a hot-fix release addressing several issues including DLPack compatibility with existing user code. See here for the complete list of solved issues and...
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📣 After 6 months, CuPy v13.4 is finally here! 🎉 Packed with exciting updates, including: ✅ NVIDIA CUDA 12.8 & Blackwell architecture support 🦾 AMD ROCm 6 compatibility 🐍 Python 3.13 binary packages 🔄 DLPack v1 Check out the full release notes ⬇️
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📣 Ask CUDA Python questions to experts! Join the LIVE event "CUDA Virtual Connect with Experts" this Friday, September 27th at 10am PT. Discuss CuPy, Numba @numba_jit, RAPIDS @rapidsai, or CUDA Python ecosystem with NVIDIA experts. https://t.co/vSAFJLT7Lb
linkedin.com
I'm excited to announce that we are starting a new monthly event - NVIDIA CUDA Virtual Connect with Experts. This will consist of a panel of CUDA experts ready to answer all your questions. This...
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We're trending on GitHub for a few days in a row 🚀 https://t.co/kGfXwnac38 If you haven't, star us to help spread the word! 🙌🌟 https://t.co/yYS2EUYm7K
github.com
NumPy & SciPy for GPU. Contribute to cupy/cupy development by creating an account on GitHub.
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oops, the correct link for the AI News is
buttondown.com
smol updates are all you need. AI News for 9/2/2024-9/3/2024. We checked 7 subreddits, 384 Twitters and 30 Discords (214 channels, and 2424 messages) for...
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Google Gemma 2 implemented in pure NumPy/CuPy 👀 https://t.co/yRfX5rzwKq
https://t.co/VFXqww81L5
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🎉 CuPy v13.3 is just out! This release includes performance improvements (“one-time only warm-up” eliminated), support for CUDA 12.5 & 12.6, and better interoperability with NumPy 2. Check out the release notes for details! https://t.co/I6lnt2wOqL
github.com
This is the release note of v13.3.0. See here for the complete list of solved issues and merged PRs. 💬 Join the Matrix chat to talk with developers and users and ask quick questions! 🙌 Help us...
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