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Hello ai world guide to deploying deep learning inference networks and deep vision primitives with tensorrt and nvidia jetson.
Nvidia jetson inference. Ai inference system based on nvidia jetson nx. Or to learn more about the evolution of ai into deep learning tune into the ai podcast for an in depth interview with nvidia s own will ramey. To learn more check out nvidia s inference solutions for the data center self driving cars video analytics and more. This repo uses nvidia tensorrt for efficiently deploying neural networks onto the embedded jetson platform improving performance and power efficiency using graph optimizations kernel fusion and fp16 int8 precision.
Fanless compact design for edge ai inference in smart city and manufacturing applications. A supercomputer on a module for autonomous machines nvidia jetson tx2 is the latest addition to the industry leading jetson embedded platform. New jetson xavier nx expanding its inference platform nvidia today introduced jetson xavier nx the world s smallest most powerful ai supercomputer for robotic and embedded computing devices at the edge. These networks can be used to build autonomous machines and complex ai systems by implementing robust capabilities such as image recognition object detection and localization pose estimation semantic segmentation video enhancement and intelligent analytics.
Jetson inference is a training guide for inference on the nvidia jetson tx1 and tx2 using nvidia digits. Nvidia jetpack 2 3 released today increases run time performance of dnns in embedded applications more than two fold using nvidia tensorrt formerly called gpu inference engine or gie. Deep learning inference benchmarks to run the following benchmarks on your jetson nano please see the instructions here. The nvidia jetson platform delivers this performance in the world s fastest most power efficient supercomputer for inference at the edge.
With up to 20x higher power efficiency than an intel i7 cpu during inference workloads nvidia s 1 tflop s embedded jetson tx1 module can be deployed on board drones and intelligent machines.
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