New cuBLAS 12.0 Features and Matrix Multiplication Performance on NVIDIA Hopper GPUs – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-25T17:47:10Z http://www.open-lab.net/blog/feed/ Roman Dubtsov <![CDATA[New cuBLAS 12.0 Features and Matrix Multiplication Performance on NVIDIA Hopper GPUs]]> http://www.open-lab.net/blog/?p=60111 2023-02-23T18:21:10Z 2023-02-01T18:30:00Z The NVIDIA H100 Tensor Core GPU, based on the NVIDIA Hopper architecture with the fourth generation of NVIDIA Tensor Cores, recently debuted delivering...]]> The NVIDIA H100 Tensor Core GPU, based on the NVIDIA Hopper architecture with the fourth generation of NVIDIA Tensor Cores, recently debuted delivering...GPU, cell phone, woman on monitor

The NVIDIA H100 Tensor Core GPU, based on the NVIDIA Hopper architecture with the fourth generation of NVIDIA Tensor Cores, recently debuted delivering unprecedented performance and sweeping AI benchmarks such as MLPerf training. A significant fraction of operations in AI and machine learning benchmarks are general matrix multiplications (GEMMS), which are also referred to as matmul��

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