# Jetson nano in 1.0.0-M2.1 or 1.0.0-beta7

**URL:** <https://community.konduit.ai/t/jetson-nano-in-1-0-0-m2-1-or-1-0-0-beta7/3155>\
**Category:** Uncategorized\
**Created:** [May 21, 2024, 12:40pm UTC](https://community.konduit.ai/t/jetson-nano-in-1-0-0-m2-1-or-1-0-0-beta7/3155 "2024-05-21T12:40:15Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Paul](https://avatars.discourse-cdn.com/v4/letter/p/bbe5ce/32.png) [@Paul](https://community.konduit.ai/u/Paul)\
**Post date:** [May 21, 2024, 12:40pm UTC](https://community.konduit.ai/t/jetson-nano-in-1-0-0-m2-1-or-1-0-0-beta7/3155/1 "2024-05-21T12:40:16Z")

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In build dl4j-master.version: **1.0.0-beta7** :  
org.nd4j: **nd4j-cuda-10.0** ,  
org.bytedeco: **cuda: 10.0-7.4-1.5** ,  
org.deeplearning4j: **deeplearning4j-core**  
(_using ComputationGraph KerasModelImport.importKerasModelAndWeights with model, which is fine works with another card with cuda 11.6_)

there is Exception:  
_modelimport.keras.exceptions.InvalidKerasConfigurationException: Expected model class name Model (found Functional);_

In build dl4j-master.version: **1.0.0-M2.1** :  
org.nd4j: **nd4j-cuda-10.2** ,  
org.bytedeco: **cuda: 10.2-8.2-1.5.6** ,  
org.deeplearning4j: **deeplearning4j-core**

there is Exception:  
Could not find jnicudart in class, module, and library paths,  
Warning: Versions of org.bytedeco:javacpp:1.5.7 and org.bytedeco:cuda:10.2-8.2-1.5.6 do not match.

**Does jetson nano actually work with these libraries?  
Maybe these builds is missing certain dependencies?**

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<div class="post-metadata">

**Author:** ![agibsonccc](https://yyz1.discourse-cdn.com/flex035/user_avatar/community.konduit.ai/agibsonccc/32/697_2.png) [@agibsonccc](https://community.konduit.ai/u/agibsonccc)\
**Post date:** [May 27, 2024, 12:49pm UTC](https://community.konduit.ai/t/jetson-nano-in-1-0-0-m2-1-or-1-0-0-beta7/3155/2 "2024-05-27T12:49:49Z")

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@Paul don’t mix dl4j versions. That will never be supported. If you want to use the most recent M2.1 with the nano, you please use this for your backend:  
[https://repo1.maven.org/maven2/org/nd4j/nd4j-cuda-10.2/1.0.0-M2.1/](https://repo1.maven.org/maven2/org/nd4j/nd4j-cuda-10.2/1.0.0-M2.1/)

The standard -platform prefix doesn’t work here because it’s a different architecture. What you’ll need is to specify both nd4j-cuda-10.2 with and without the classifier as 2 separate artifacts.