We are pleased to announce JetPack 4.4 Developer Preview supporting Jetson AGX Xavier series, Jetson Xavier NX, Jetson TX2 series, Jetson TX1, and Jetson Nano. (JetPack 4.3 remains the latest production release.) JetPack 4.4 key features include support for Jetson Xavier NX module, new versions of CUDA, TensorRT and cuDNN, and support for the upcoming DeepStream 5.0 Developer Preview. Please refer to the JetPack Release Notes and L4T Release Notes for additional info. JetPack 4.4 Highlights: Support for the new Jetson Xavier NX module Support for CUDA 10.2, and developer preview of TensorRT 7.1.0 and cuDNN 8.0.0 Support for Vulkan 1.2 and VPI 0.2.0 (Developer Preview) Support for upgrading JetPack and L4T using Debian package management tool Support for Generic Timestamping Engine (GTE) for Jetson AGX Xavier and Jetson Xavier NX Support for Dynamic Frequency Scaling (DFS) for Video Image Compositor (VIC) using actmon SE (Security Engine) samples to demonstrate hardware backed authentication and encryption capabilities of Jetson TX2 series, Jetson AGX Xavier and Jetson Xavier NX modules. Utility to fuse multiple Jetson modules simultaneously Option to specify APP partition size on the microSD card during initial configuration at first boot of Jetson Nano Developer Kit JetPack 4.4 components: L4T R32.4.2 CUDA 10.2 cuDNN 8.0.0 (Developer Preview) TensorRT 7.1.0 (Developer Preview) VisionWorks 1.6 OpenCV 4.1 Vulkan 1.2 VPI 0.2.0 (Developer Preview) Nsight Systems 2020.2 Nsight Graphics 2020.1 Nsight Compute 2019.3 Existing installations of JetPack 4.3 can be upgraded in-place to JetPack 4.4 Developer Preview without re-flashing the device. For more information about upgrading JetPack via the Debian package management tool, please refer to the JetPack documentation here. Download JetPack…https://developer.nvidia.com/embedded/jetpack JetPack Release Notes…https://docs.nvidia.com/jetson/jetpack/release-notes/index.html L4T Release Notes…https://developer.nvidia.com/jetson-linux-driver-package-release-notes-r3242-dp

Did you remove the new SDK Manager (1.1)? I downloaded it one our ago from the site, but now it links to 0.9 when clicking “Download sdk manager”. Also, computers running 0.9 says there is an update available, but fails upon update with the following: SDK Manager version 1.1.0 update failed. failed to download http://sdkm-a.nvidia.com/builds/SDKManager/1.1.0/6343_20110_28277817/Linux/sdkmanager_1.1.0-6343_amd64.deb On my SDK Manager 1.1 it also fails now when trying to install JetPack 4.4, with the following error message: Oops, could not load the NVIDIA SDK details Failed to get configuration file from the server. Please check your network connectivity.

Thanks for reporting this. Looks like the problem is fixed now and correct version will download. Let us know if not.

Hi @prlawrence The L4T R32.4.2 will be the same when you will be release the jetpack 4.4 in production? (Not in Developer Preview)

Hi @rbonghi, L4T R32.4.2 BSP will update to R32.4.3 with the production version of JetPack 4.4 to pick up bug fixes. Thank you, NV Jetson Team

When 4.4 official release will be available, would it be possible to just do package upgrade from 4.4 DP to 4.4 Release (without flashing)? -albertr

[image] albertr: When 4.4 official release will be available, would it be possible to just do package upgrade from 4.4 DP to 4.4 Release (without flashing)? Hi @albertr, yes you will be able to use the sudo apt-get upgrade mechanism to upgrade from 4.4 DP to the production 4.4 release without needing to re-flash.

JetPack 4.4 run nvcc -v -bash: nvcc: command not found？

TensorFlow2.1调用tnensort7出现如下错误： Traceback (most recent call last): File “o.py”, line 137, in converter = trt.TrtGraphConverterV2(input_saved_model_dir=‘hdf52saved_model’,conversion_params=params) File “/usr/local/lib/python3.6/dist-packages/tensorflow_core/python/compiler/tensorrt/trt_convert.py”, line 899, in init assert context.executing_eagerly() AssertionError

can I install cuda 10.0 in jetpack 4.4? since some of my model could only run in cuda 10.0.

Hi @CoderJustin, please see these posts: How to to install cuda 10.0 on jetson nano separately ? - #4 by mdegans Cuda 10.0 installation on ubuntu 18.04 - #5 by carolyuu

JetPack 4.4 Developer Preview - L4T R32.4.2 released

Robotics & Edge Computing Jetson Systems Announcements

Topic		Replies	Views
JetPack 4.4 - L4T R32.4.3 production release Jetson AGX Xavier	23	4465	April 20, 2023
JetPack 4.4 Developer Preview - L4T R32.4.2 released Jetson AGX Xavier	9	2169	October 5, 2020
JetPack 4.4 - L4T R32.4.3 production release Jetson Xavier NX	32	4695	October 9, 2020
JetPack 4.4 Developer Preview - L4T R32.4.2 released Jetson TX2	7	1076	July 5, 2020
JetPack 4.4 - L4T R32.4.3 production release Jetson TX2	13	2862	August 24, 2020
JetPack 4.4 - L4T R32.4.3 production release Jetson TX1	2	1301	September 22, 2020
JetPack 4.4 Developer Preview - L4T R32.4.2 released Jetson TX1	0	682	April 22, 2020
JetPack 4.4 Developer Preview - L4T R32.4.2 released Jetson Xavier NX	11	1608	July 3, 2020
JetPack 4.4 - L4T R32.4.3 production release Announcements	29	8883	July 28, 2020
JetPack 4.4 - L4T R32.4.3 production release Announcements	0	538	July 8, 2020

JetPack 4.4 Developer Preview - L4T R32.4.2 released

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