Preferred Networks推出CuPy v14，強化GPU運算能力
The release of CuPy v14 signifies an advancement in Preferred Networks' open-source contributions to GPU computing.
Release of CuPy v14, an open-source GPU-accelerated array library.
Preferred Networks发布了其开源数组库CuPy的第14版，该库在GPU上实现了兼容NumPy的多维数组。此次更新预计将为使用GPU加速科学计算和深度学习应用的开发者带来性能改进和新功能，进一步巩固PFN在高性能计算领域的地位。
The release of CuPy v14 signifies an advancement in Preferred Networks' open-source contributions to GPU computing. This enhanced library can accelerate scientific research, AI development, and data analysis across various industries in APAC, potentially lowering the barrier to entry for advanced computational tasks and fostering innovation within the region's tech ecosystem.
CuPy is a key tool for AI and scientific computing in APAC. Its advancements benefit researchers and developers across the region, supporting the growth of AI-driven industries and technological self-sufficiency in countries like Japan, South Korea, and Singapore.
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https://www.preferred.jp/en/news/pr20260219
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