Difference between revisions of "Jetson AGX Xavier"

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Useful for deploying computer vision and deep learning to the edge, Jetson AGX Xavier runs Linux and provides 32 TeraOPS of compute performance in user-configurable 10/15/30W power profiles.
 
Useful for deploying computer vision and deep learning to the edge, Jetson AGX Xavier runs Linux and provides 32 TeraOPS of compute performance in user-configurable 10/15/30W power profiles.
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Jetson AGX Xavier is currently available as the [https://developer.nvidia.com/embedded/buy/jetson-xavier-devkit Jetson AGX Xavier Developer Kit], with the OEM compute module becoming available in the future.  See the wiki of previous Jetson's [[Jetson|here]].
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[[File:Xavier-module-dev-kit-3qrtr-1945px.png|800px|right|text-bottom]]

Revision as of 11:27, 18 September 2018

NVIDIA Jetson AGX Xavier is an embedded system-on-module (SoM) from the NVIDIA AGX Systems family, including an integrated Volta GPU with Tensor Cores, dual Deep Learning Accelerators (DLAs), octal-core NVIDIA Carmel ARMv8.2 CPU, 16GB 256-bit LPDDR4x with 137GB/s of memory bandwidth, and 650Gbps of high-speed I/O including PCIe Gen 4 and 16 camera lanes of MIPI CSI-2.

Useful for deploying computer vision and deep learning to the edge, Jetson AGX Xavier runs Linux and provides 32 TeraOPS of compute performance in user-configurable 10/15/30W power profiles.

Jetson AGX Xavier is currently available as the Jetson AGX Xavier Developer Kit, with the OEM compute module becoming available in the future. See the wiki of previous Jetson's here.

Xavier-module-dev-kit-3qrtr-1945px.png