NVIDIA Jetpack Reference Guide/Jetson boards/Tx1: Difference between revisions

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|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 Xavier NX information
|title=NVIDIA Jetpack Reference Guide TX1 information
|metadescription=This page provides useful information about the NVIDIA Jetson Xavier NX}}
|metadescription=This page provides useful information about the NVIDIA Jetson TX1}}
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== Characteristics ==
== 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.
The Jetson TX1 was the first supercomputer module. It was built to be a capable embedded with good performance a power efficiency for the latest visual computing applications. The module worked under 10 W and used 16 GB of memory.  


{{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.}}
{{message|title=Dedicated Jetson Xavier TX1 wiki|Refer to the [[Getting_Started_Guide_for_Jetson_TX1|NVIDIA Jetson TX1]] of the NVIDIA Jetson TX1 wiki for a detailed overview of this module capacities.}}


== Supported Jetpack versions ==
== Supported Jetpack versions ==
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Latest revision as of 20:45, 10 September 2024






Characteristics

The Jetson TX1 was the first supercomputer module. It was built to be a capable embedded with good performance a power efficiency for the latest visual computing applications. The module worked under 10 W and used 16 GB of memory.


Dedicated Jetson Xavier TX1 wiki
Refer to the NVIDIA Jetson TX1 of the NVIDIA Jetson TX1 wiki for a detailed overview of this module capacities.


Supported Jetpack versions

Supported Jetson boards