Nvidia Jetson Demo
Download free demos and experience how nvidia technology impacts graphics today.
Nvidia jetson demo. The nvidia jetson nano developer kit delivers the compute performance to run modern ai workloads at the unprecedented size power and cost. Here is an unboxing article of details of the product the process to start up and two visual demos part 1. Just in case let me start with a short introduction. In a couple of hours you can have a set of deep learning inference demos up and running for realtime image classification and object detection using pretrained models on your jetson developer kit with jetpack sdk and nvidia tensorrt.
It includes a familiar linux environment and brings to each jetson developer the same nvidia cuda x software and tools used by professionals around the world. It includes all of the necessary source code. Start using jetson and experiencing the power of ai. Cloud native demo on jetson.
This is a fraction of the cost of most other ai development products. Despite its low cost the jetson nano developer kit is a fully capable development platform that has multiple usb3 ports gigabit ethernet and raspberry pi compatible gpio and camera connectors. Nvidia jetpack enables a new world of projects with fast and efficient ai. This video is based on the hello ai world demo provided.
This support enables application development deployment and management at scale which is essential to deliver ai at the edge to millions of devices. The development process is simplified with support for cloud native technologies and developers can go even further with gpu accelerated libraries and sdks. Two days to a demo is our introductory series of deep learning tutorials for deploying ai and computer vision to the field with nvidia jetson agx xavier jetson tx2 jetson tx1 and jetson nano. The nvidia jetson platform supports cloud native technologies and workflows such as containerization and orchestration.
Released july 3 2010 originally released for. This tutorial takes roughly two days to complete from start to finish enabling you to configure and train your own neural networks. Geforce gtx 400 series graphics cards taking advantage of physx cuda directx 11 and 3d vision supersonic sled strapped you on a high powered test rocket and hurtled you down a six mile long track in the nevada desert at speeds in excess of 800 miles an hour.