Accelerating AI Training with NVIDIA TF32 Tensor Cores – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-03-21T20:30:26Z http://www.open-lab.net/blog/feed/ Dusan Stosic <![CDATA[Accelerating AI Training with NVIDIA TF32 Tensor Cores]]> http://www.open-lab.net/blog/?p=23724 2022-08-21T23:41:01Z 2021-01-27T23:09:58Z NVIDIA Ampere GPU architecture introduced the third generation of Tensor Cores, with the new TensorFloat32 (TF32) mode for accelerating FP32 convolutions and...]]> NVIDIA Ampere GPU architecture introduced the third generation of Tensor Cores, with the new TensorFloat32 (TF32) mode for accelerating FP32 convolutions and...

NVIDIA Ampere GPU architecture introduced the third generation of Tensor Cores, with the new TensorFloat32 (TF32) mode for accelerating FP32 convolutions and matrix multiplications. TF32 mode is the default option for AI training with 32-bit variables on Ampere GPU architecture. It brings Tensor Core acceleration to single-precision DL workloads, without needing any changes to model scripts.

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