Chetan Tekur – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2023-07-27T19:58:45Z http://www.open-lab.net/blog/feed/ Chetan Tekur <![CDATA[Getting the Most Out of the NVIDIA A100 GPU with Multi-Instance GPU]]> http://www.open-lab.net/blog/?p=21816 2023-07-27T19:58:45Z 2020-12-01T00:30:40Z With the third-generation Tensor Core technology, NVIDIA recently unveiled A100 Tensor Core GPU that delivers unprecedented acceleration at every scale for AI,...]]>

With the third-generation Tensor Core technology, NVIDIA recently unveiled A100 Tensor Core GPU that delivers unprecedented acceleration at every scale for AI, data analytics, and high-performance computing. Along with the great performance increase over prior generation GPUs comes another groundbreaking innovation, Multi-Instance GPU (MIG). With MIG, each A100 GPU can be partitioned up to seven…

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]]> 11 Chetan Tekur <![CDATA[Accelerating TensorFlow on NVIDIA A100 GPUs]]> http://www.open-lab.net/blog/?p=18957 2023-06-12T21:15:05Z 2020-07-24T22:22:06Z The NVIDIA A100, based on the NVIDIA Ampere GPU architecture, offers a suite of exciting new features: third-generation Tensor Cores, Multi-Instance GPU (MIG)...]]>

The NVIDIA A100, based on the NVIDIA Ampere GPU architecture, offers a suite of exciting new features: third-generation Tensor Cores, Multi-Instance GPU (MIG) and third-generation NVLink. Ampere Tensor Cores introduce a novel math mode dedicated for AI training: the TensorFloat-32 (TF32). TF32 is designed to accelerate the processing of FP32 data types, commonly used in DL workloads.

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