Supermicro® SystemsPowered by NVIDIA GPUsfor Best AI Inference Performance Using NVIDIA TensorRT: NVIDIA AI Software from the NGC Catalog for Training and Inference White Paper
■Deep learning inferencingto process camera image data is becoming mainstream. With the availability of high-resolution network cameras, accurate deep learning image processing software, and robust, cost-effective GPU systems, businesses and governments are increasingly adopting these technologies. The use cases include retail inventory tracking, on-premise security, insurance claim damage assessment, medical image diagnosis, and many other applications.
■This document demonstrates the benefits of using NVIDIA NGC and NVIDIA TensorRT to get the best inference performance using Supermicro systemspowered by NVIDIA GPUs. It also shows how to set upNGC on a Supermicro server and how to use TensorRT for inference. The primary focus of this paper is about the key capabilitiesof Supermicro systemspowered by NVIDIA GPUs for inference. Benchmark data that Supermicro engineers collected, sizing recommendations, and server selection for inference deployment are also included in this paper.
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[ retail inventory tracking ][ on-premise security ][ insurance claim damage assessment ][ medical image diagnosis ][ Retail self-checkout ][ Self-driving cars ][ monitoring ] |
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Please see the document for details |
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2020/11/11 |
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