We are happy to announce the official release of CuPy v13.6! The highlight of this release is the introduction of support for NVIDIA CUDA 13, the latest major version of the CUDA Toolkit. This update allows you to harness the newest features, performance optimizations, and hardware support from NVIDIA for your GPU-accelerated workloads. Pre-compiled binary packages are immediately available for Linux (x86_64 & arm64) and Windows (x86_64). To install the specific package for CUDA 13, use the following pip command: `pip install cupy-cuda13x`. For a complete list of all enhancements and bug fixes, please review the full release notes. Release Notes: https://lnkd.in/gHWFqDtj
About us
An open source library for GPU-accelerated computing with Python programming language.
- Website
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https://cupy.dev/
External link for CuPy
- Industry
- Software Development
- Company size
- 1 employee
- Type
- Nonprofit
- Founded
- 2015
Employees at CuPy
Updates
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A talk on CuPy will be presented at the SciPy 2025 conference! https://lnkd.in/gCnMJZez In this session, long-time contributor Leo Fang will share his personal story based on his experience contributing to open-source projects. He will cover CuPy's journey and how its JIT compiler has made GPU programming more accessible. Also, there are more sessions and tutorials highlighting CuPy at SciPy 2025. Explore the full schedule at https://lnkd.in/gS8HPPGc ! #CuPy #SciPy2025 #GPU #Python #ScientificComputing #OpenSource #NumPy #SciPy
Many thanks to the SciPy Organizing Committee, I'll be giving a talk this Wednesday (July 9) at 1:15pm PT on the latest CuPy features at SciPy 2025! I will also stay at the conference the entire week, come to chat with us about everything CUDA + Python! #scipy2025 #cupy #nvidia #cuda https://lnkd.in/eUgT3Vp6
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We just released CuPy v13.5! 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 for details: https://lnkd.in/gvxaPKdV
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