Nvidia Jetson Edge Computing

With a compact form factor smaller than the size of a credit card the energy efficient jetson xavier nx module delivers server class performance up to 21 tops for running modern ai workloads and consumes as little as 10 watts of power.

Nvidia jetson edge computing. Nvidia jetson systems provide the performance and efficiency to run autonomous machine software faster and with less power. Nvidia jetson nano nx ai at the edge computing platform jetbox floyd is a compact nvidia jetson ai computing platform ready to deploy. Embedded ai and edge computing solutions from nvidia jetson. Several new small form factor embedded ai edge computing platforms from aaeon leverage nvidia s jetson.

The boxer models include the 8251ai featuring the new jetson xavier nx with 384 cuda cores 48 tensor cores and two nvdla engines for processing speeds to 21 tops the 8240ai with the jetson agx xavier with 512 cuda cores and 64 tensor cores for processing speeds to 32 tops and the. With more than a tflop s of performance jetson tx2 is ideal for deploying advanced ai to remote field locations with poor or expensive internet connectivity. This supercomputer on a module brings true ai computing at the edge with an nvidia pascal gpu up to 8 gb of memory 59 7 gb s of memory bandwidth and a wide range of standard hardware interfaces that offer the perfect fit for a variety of products and form factors. Edge computing is an emerging paradigm which uses local computing to enable analytics at the source of the data.

Nvidia egx was created to meet the growing demand to perform instantaneous high throughput ai at. It features a variety of standard hardware interfaces that make it easy to integrate it into a wide range of products and form factors. Businesses running edge computing for ai are getting the flexibility of deploying low latency ai applications on the tiny nvidia jetson nano. Each is a complete system on module som combining cpu gpu pmic dram and.

Jetson tx2 is a 7 5 watt supercomputer on a module that brings true ai computing at the edge. Computex nvidia today announced nvidia egx an accelerated computing platform that enables companies to perform low latency ai at the edge to perceive understand and act in real time on continuous streaming data between 5g base stations warehouses retail stores factories and beyond. It s built around an nvidia pascal family gpu and loaded with 8 gb of memory and 59 7 gb s of memory bandwidth. 21 jan 2020.

The compact supercomputer takes just a few watts to deliver a half trillion operations per second for such tasks as image recognition. The egx hardware portfolio ranges from the tiny power efficient nvidia jetson family for tasks such as image recognition and sensor fusion at the edge to entire racks of nvidia certified systems in the data center which can deliver more than 10 000 tera operations per second tops to serve hundreds of users with real time speech recognition and other complex ai experiences.