Boosting Matrix Multiplication Speed and Flexibility with NVIDIA cuBLAS 12.9 – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-08T18:08:45Z http://www.open-lab.net/blog/feed/ Babak Hejazi <![CDATA[Boosting Matrix Multiplication Speed and Flexibility with NVIDIA cuBLAS 12.9]]> http://www.open-lab.net/blog/?p=99184 2025-07-01T16:36:10Z 2025-05-01T20:00:00Z The NVIDIA CUDA-X math libraries empower developers to build accelerated applications for AI, scientific computing, data processing, and more.   Two...]]> The NVIDIA CUDA-X math libraries empower developers to build accelerated applications for AI, scientific computing, data processing, and more.   Two...An image representing matrix multiplication.

The NVIDIA CUDA-X math libraries empower developers to build accelerated applications for AI, scientific computing, data processing, and more. Two of the most important applications of CUDA-X libraries are training and inference LLMs, whether for use in everyday consumer applications or highly specialized scientific domains like drug discovery. Multiple CUDA-X libraries are indispensable��

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