NVIDIA的Cupnumeric 25.03完全开源，并增强了PIP和HDF5支持

NVIDIA's cuPyNumeric 25.03 Goes Fully Open Source with Enhanced PIP and HDF5 Support

Peter Zhang Apr 23, 2025 13:20

NVIDIA has open-sourced cuPyNumeric 25.03, enhancing its accessibility with PIP installation and native HDF5支持，促进多GPU计算中的透明度和协作。

nvidia宣布，其Cupnumeric 25.03库现在完全开源，标志着其开发的重要里程碑。该更新引入了功能强大的新功能，包括对PIP安装和本机HDF5 IO的支持。NVIDIA的最新版本已经开源了整个Cupnumeric的堆栈，包括在Apache 2许可证下为其提供动力的Legate框架和运行时层。这种过渡强调了NVIDIA致力于促进发展社区中透明度，可重复性和协作的承诺。开源性质允许贡献者在没有障碍的情况下探索，审核和增强系统。

PIP安装支持

以前仅通过Conda可以安装，现在可以使用PIP安装CupyNumeric，从而简化了设置过程。这种增强有助于更容易地集成到工作流程，虚拟环境和CI管道中。 The cuPyNumeric package on PyPI is multinode and multirank capable, supporting both single-node multiple GPUs and multi-GPU multinode clusters.

Native HDF5 IO Support

Another notable feature of cuPyNumeric 25.03 is its native support for HDF5 through GPU Direct Storage, which optimizes the handling of laRGE数据集。此功能可确保有效的IO操作，这对于高性能计算和数据密集型应用程序至关重要。现在，用户可以通过改进的性能和可移植性来管理复杂的数据结构。

安装和用法

已简化了安装过程以包括一个简单的PIP命令：PIP安装NVIDIA-CUPYNUMERIC。此更新将除MPI以外的所有主要依赖性捆绑在一起，否则它们可以通过PYPI很容易解析。 NVIDIA provides detailed guidance on setting up and running cuPyNumeric on SLURM clusters, emphasizing the ease of use in multinode and multirank environments.

For further details and to explore the comprehensive capabilities of cuPyNumeric 25.03, NVIDIA encourages users to review the official release notes and contribute to the ongoing development via the GitHub repository.

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