Jeff Pool – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2023-06-12T21:09:10Z http://www.open-lab.net/blog/feed/ Jeff Pool <![CDATA[Accelerating Inference with Sparsity Using the NVIDIA Ampere Architecture and NVIDIA TensorRT]]> http://www.open-lab.net/blog/?p=34218 2023-06-12T21:09:10Z 2021-07-20T13:00:00Z This post was updated July 20, 2021 to reflect NVIDIA TensorRT 8.0 updates. When deploying a neural network, it's useful to think about how the network could be...]]>

This post was updated July 20, 2021 to reflect NVIDIA TensorRT 8.0 updates. Join the NVIDIA Triton and NVIDIA TensorRT community to stay current on the latest product updates, bug fixes, content, best practices, and more. When deploying a neural network, it’s useful to think about how the network could be made to run faster or take less space. A more efficient network can make better…

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]]> 13 Jeff Pool <![CDATA[Exploiting NVIDIA Ampere Structured Sparsity with cuSPARSELt]]> http://www.open-lab.net/blog/?p=22602 2022-08-21T23:40:49Z 2020-12-08T19:34:58Z Deep neural networks achieve outstanding performance in a variety of fields, such as computer vision, speech recognition, and natural language processing. The...]]>

Deep neural networks achieve outstanding performance in a variety of fields, such as computer vision, speech recognition, and natural language processing. The computational power needed to process these neural networks is rapidly increasing, so efficient models and computation are crucial. Neural network pruning, removing unnecessary model parameters to yield a sparse network, is a useful way to…

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