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CuPy Profile
CuPy

@CuPy_Team

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469

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
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@CuPy_Team
CuPy
1 month
πŸ“’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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@CuPy_Team
CuPy
3 days
Recording is now available on YouTube!
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@grok
Grok
5 days
The most fun image & video creation tool in the world is here. Try it for free in the Grok App.
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@CuPy_Team
CuPy
1 month
Also, there are more sessions and tutorials highlighting CuPy at SciPy 2025. Explore the full schedule at .
scipy2025.scipy.org
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@CuPy_Team
CuPy
1 month
⚑️A talk on CuPy will be presented at the SciPy 2025 conference! πŸŽ‰.Leo Fang, a long-time contributor, will share his personal story on #CuPy's evolution and future. #SciPy2025.
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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_Team
CuPy
4 months
Thanks for featuring, @StarHistoryHQ!
@StarHistoryHQ
Star History
4 months
10.1K ⭐️ CuPy is a NumPy/SciPy-compatible array library πŸ“š that enables GPU-accelerated computing in Python by serving as a drop-in replacement for existing NumPy/SciPy code. @CuPy_Team. #starhistory #GitHub #OpenSource
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@CuPy_Team
CuPy
4 months
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 πŸ˜‰.
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github.com
NumPy & SciPy for GPU. Contribute to cupy/cupy development by creating an account on GitHub.
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@CuPy_Team
CuPy
4 months
πŸš€ 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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@CuPy_Team
CuPy
6 months
πŸ“£ After 6 months, CuPy v13.4 is finally here! πŸŽ‰. Packed with exciting updates, including:.βœ… NVIDIA CUDA 12.8 & Blackwell architecture support.🦾 AMD ROCm 6 compatibility.🐍 Python 3.13 binary packages.πŸ”„ DLPack v1. Check out the full release notes ⬇️
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@CuPy_Team
CuPy
11 months
πŸ“£ 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.
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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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@CuPy_Team
CuPy
11 months
Currently #1 on #HackerNews ✨.
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@CuPy_Team
CuPy
11 months
We're trending on GitHub for a few days in a row πŸš€. If you haven't, star us to help spread the word! πŸ™ŒπŸŒŸ.
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github.com
NumPy & SciPy for GPU. Contribute to cupy/cupy development by creating an account on GitHub.
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@CuPy_Team
CuPy
1 year
Google Gemma 2 implemented in pure NumPy/CuPy πŸ‘€.
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@CuPy_Team
CuPy
1 year
πŸŽ‰ CuPy v13.3 is just out! This release includes performance improvements (β€œone-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!.
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github.com
This is the release note of v13.3.0. See here for the complete list of solved issues and merged PRs. πŸ’¬ Join the Matrix chat to talk with developers and users and ask quick questions! πŸ™Œ Help us...
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@CuPy_Team
CuPy
1 year
RT @NVIDIADC: πŸ“’ Just announced: nvmath-python brings NVIDIA accelerated math to #Python. βœ… Pythonic APIs for using CUDA math operations.βœ…β€¦.
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@CuPy_Team
CuPy
1 year
πŸ“’ CuPy v13.2 is out! This release added support for NumPy 2.0. You can use CuPy with the coming NP2! This release also has improved NCCL preloading, which brings better operability on mixed-library environments.
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