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NVIDIA Makes Available the Jetson AGX Xavier Module for Autonomous Machines

NVIDIA Makes Available the Jetson AGX Xavier Module for Autonomous Machines

Enterprise & IT Dec 13,2018 0

Delivery robots, manufacturing robots and handheld DNA sequencers are among the use Nvidia's Jetson AGX Xavier module, which is available today worldwide.

The latest addition to Nvidia's Jetson TX2 and TX1 family of products can be used to build the autonomous machines that will solve tough problems. The module can serve as the brain behind any bot, as it delivers the performance of a workstation server in a computer that fits in the palm of your hand.

Consuming as little as 10 watts, the module enables companies to go into volume production with applications developed on the Jetson AGX Xavier developer kit, bringing next-gen robots and other autonomous machines to life.

The Jetson AGX Xavier module leverages NVIDIA’s AI platform, which is used for numerous AI applications. This includes a complete set of tools and workflows to help developers train and deploy neural networks.

It supports applications developed with the JetPack and DeepStream software development kits. JetPack is NVIDIA’s SDK for autonomous machines and includes support for AI, computer vision, multimedia and more.

The DeepStream SDK for Jetson AGX Xavier enables streaming analytics, bringing AI to IoT and smart city applications. Developers can build multi-camera and multi-sensor applications to detect and identify objects of interest, such as vehicles, pedestrians and cyclists.

The Jetson TX2 embedded module for edge AI applications now comes in three versions: Jetson TX2, Jetson TX2i and the newly available, lower cost Jetson TX2 4GB. Jetson TX1-based products can migrate to the more powerful Jetson TX2 4GB at the same price.

NVIDIA developer kits are also available for each member of the Jetson family.

The Jetson AGX Xavier module is available today from distributors worldwide. Volume pricing of quantities of 1,000+ units is $1,099.

Tech Specs

AI Performance 32 TOPs
GPU 512-core Volta GPU with Tensor Cores
CPU 8-core ARM v8.2 64-bit CPU, 8MB L2 + 4MB L3
Memory 16GB 256-Bit LPDDR4x | 137GB/s
Storage 32GB eMMC 5.1
DL Accelerator (2x) NVDLA Engines
Vision Accelerator 7-way VLIW Vision Processor
Encoder/Decoder (2x) 4Kp60 | HEVC/(2x) 4Kp60 | 12-Bit Support
Size 105 mm x 105 mm

Tags: NvidiaArtificial Intelligence
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