## **Before You Start** We have introduced a new NGC [DeepStream SDK Collection](https://catalog.ngc.nvidia.com/orgs/nvidia/collections/deepstream_sdk). This collection serves as a hub for all DeepStream assets. Make sure you check it out! ## **DeepStream Installers** Please refer to the section below which describes the different [DeepStream installers available](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/deepstream/files).

File Name	Architecture	License Type	Notes
deepstream-8.0_8.0.0-1_amd64.deb	x86	Deployment	Installer for Debian compatible systems. Ubuntu 24.04 is the only tested distribution
deepstream-8.0_8.0.0-1_arm64.deb	Jetson	Deployment	Installer for Jetson devices with JetPack 7.0
deepstream_sdk_v8.0.0_x86_64.tbz2	x86	Deployment	Tar installer for x86 based systems
deepstream_sdk_v8.0.0_jetson.tbz2	Jetson	Deployment	Tar installer for Jetson based devices
pyservicemaker-0.0.1-cp310-cp310-linux_x86_64.whl	x86	Deployment	pyservicemaker wheels are the pip wheels for the python bindings for servicemaker API
pyservicemaker-0.0.1-cp310-cp310-linux_aarch64.whl	Jetson	Deployment	pyservicemaker wheels are the pip wheels for the python bindings for servicemaker API

Read the [DeepStream 8.0 Release Notes](https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Release_notes.html) for full list of features of the release ## ## **Getting Started** ### Download installer(s) NGC offers three options to download the assets on this resource. Two options are via a command line, and one more via the browser. Find below details for all options. Please update the name of the file you would like to download (i.e. deepstream-8.0\_8.0.0-1\_amd64.deb) when using curl or wget. **curl**

curl -LO
'https://api.ngc.nvidia.com/v2/resources/nvidia/deepstream/versions/8.0/files/deepstream-8.0_8.0.0-1_amd64.deb'

**wget**

wget --content-disposition
'https://api.ngc.nvidia.com/v2/resources/nvidia/deepstream/versions/8.0/files/deepstream-8.0_8.0.0-1_amd64.deb'
-O deepstream-8.0_8.0.0-1_amd64.deb

**From Browser** If you would like to download individual files from your web browser, please navigate to the [File Browser tab](https://catalog.ngc.nvidia.com/orgs/nvidia/resources/deepstream/files), and click on the three dots for different download options as shown below as reference:

**Notes:** - The animation above shows files from an older release. The steps to download single files are applicable to the latest release as well. - Please be aware that the **Browser (Direct Download)** option available on the pull-down button (top-right corner of this page) will download all files in the resource. ### Install DeepStream For details such as software dependencies and installations steps (once you have downloaded the installer(s)), please refer to the [DeepStream Installation](https://docs.nvidia.com/metropolis/deepstream/dev-guide/text/DS_Installation.html) section of the documentation. ## **License** The following licenses apply to the DeepStream SDK assets:

Asset	Applicable EULA	Notes
SDK	DeepStream SDK EULA	A copy of the license is available on the following folder of the SDK: /opt/nvidia/deepstream/deepstream-8.0/LicenseAgreement.pdf
Containers	DeepStream NGC License	License grants redistribution rights allowing developers to build applications on top of the DeepStream containers
Development Containers	DeepStream NGC Development License	A development-only license. Does not allow redistribution of the container
TAO Models	NVIDIA AI Product License	All TAO pre-trained models included in the DeepStream SDK are covered by the NVIDIA AI Product License.

**NOTE: By pulling, downloading, or using the DeepStream SDK, you accept the terms and conditions of the EULA licenses listed above.** ## **Ethical AI** *NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.*