NVIDIA Jetpack Reference Guide/Jetson boards/Xavier nx: Difference between revisions
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|next=https://developer.ridgerun.com/wiki/index.php/NVIDIA_Jetpack_Reference_Guide/Jetson_boards/Orin_nx | |next=https://developer.ridgerun.com/wiki/index.php/NVIDIA_Jetpack_Reference_Guide/Jetson_boards/Orin_nx | ||
|metakeywords=Jetson, Jetpack, NVIDIA, Jetson Orin, Jetson Xavier, Jetpack 6 | |metakeywords=Jetson, Jetpack, NVIDIA, Jetson Orin, Jetson Xavier, Jetpack 6 | ||
|title=NVIDIA Jetpack Reference Guide | |title=NVIDIA Jetpack Reference Guide Xavier NX information | ||
|metadescription=This page provides useful information about the NVIDIA Jetson | |metadescription=This page provides useful information about the NVIDIA Jetson Xavier NX}} | ||
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The Jetson Xavier NX series offers AI performance of up to 21 TOPS in a small form factor of 70 mm x 45 mm. Able to run multiple neural network in parallel, support high-resolution sensors with the highest performance and power efficiency of the Xavier Series. The modules are available in version of 8GB and 16GB. | The Jetson Xavier NX series offers AI performance of up to 21 TOPS in a small form factor of 70 mm x 45 mm. Able to run multiple neural network in parallel, support high-resolution sensors with the highest performance and power efficiency of the Xavier Series. The modules are available in version of 8GB and 16GB. | ||
{{message|title=Dedicated Jetson | {{message|title=Dedicated Jetson Xavier NX wiki|Refer to the [[NVIDIA_Jetson_Orin_NX/Introduction/SoM_Overview|NVIDIA Jetson Xavier NX SoM Overview]] of the NVIDIA Jetson Xavier NX wiki for a detailed overview of this module capacities.}} | ||
== Supported Jetpack versions == | == Supported Jetpack versions == | ||
Revision as of 15:53, 10 September 2024
Table of Contents
[Sticky]
Characteristics
The Jetson Xavier NX series offers AI performance of up to 21 TOPS in a small form factor of 70 mm x 45 mm. Able to run multiple neural network in parallel, support high-resolution sensors with the highest performance and power efficiency of the Xavier Series. The modules are available in version of 8GB and 16GB.
Supported Jetpack versions
Supported Jetson boards
