Preferred Networks Releases CuPy v14 for Enhanced GPU Computing
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 has released version 14 of CuPy, an open-source array library that implements a NumPy-compatible multi-dimensional array on GPUs. This update is expected to offer performance improvements and new features for developers working with GPU-accelerated scientific computing and deep learning applications, further solidifying PFN's position in the high-performance computing landscape.
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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