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data-testid="kui-box"><div class="ngc-layout-content-inner"><div data-testid="ngc-details-page"><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-ejCoEP-direction-row c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap sc-gEvEer hcbVGD" data-testid="kui-flex"><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap sc-eqUAAy dwveNC" data-testid="kui-stack"><div class="c-kPEZkg c-kPEZkg-jUBGVx-status-warning sc-fqkvVR IwrEj" data-testid="kui-banner-global" role="alert"><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-ejCoEP-direction-row c-dhzjXW-bICGYT-justify-center c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-ieGaVeY-css" data-testid="kui-inline"><div class="c-dsPRoj c-dsPRoj-crfUWm-status-warning" data-testid="kui-banner-icon"><svg data-src="https://brand-assets.cne.ngc.nvidia.com/assets/icons/2.2.2/fill/common-warning.svg" height="1em" width="1em" 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srcSet="/_next/image?url=https%3A%2F%2Fassets.nvidiagrid.net%2Fngc%2Flogos%2FDeepstream.png&w=640&q=90 1x, /_next/image?url=https%3A%2F%2Fassets.nvidiagrid.net%2Fngc%2Flogos%2FDeepstream.png&w=828&q=90 2x" src="/_next/image?url=https%3A%2F%2Fassets.nvidiagrid.net%2Fngc%2Flogos%2FDeepstream.png&w=828&q=90"/></div><div class="c-biFssO sc-gsFSXq cfcDXy" data-testid="kui-card-content"><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-lpoiht-gap-md c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iggZwYj-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">Description</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text">DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. This container is for NVIDIA Enterprise GPUs.</span></div><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iggZwYj-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">Publisher</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text">NVIDIA</span></div><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iggZwYj-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">Latest Tag</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text">7.1-triton-multiarch</span></div><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iggZwYj-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">Modified</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text">February 1, 2025</span></div><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iggZwYj-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">Compressed Size</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text">10.26 GB</span></div><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iggZwYj-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">Multinode Support</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text">No</span></div><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iggZwYj-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">Multi-Arch Support</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text">Yes</span></div><div class="c-dhzjXW c-dhzjXW-irEjuD-align-stretch c-dhzjXW-iTKOFX-direction-column c-dhzjXW-dQhbEp-gap-sm c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-ikrIkwM-css" data-testid="kui-stack"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-hNPEVI-gap-xs c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap" data-testid="kui-flex"><span class="c-kAArxJ c-kAArxJ-jIuaGQ-variant-strong" data-testid="kui-text">7.1-triton-multiarch (Latest) Security Scan Results</span></div><span class="c-kAArxJ c-kAArxJ-ieEHITb-css" data-testid="kui-text"><div class="c-hakyQ c-hakyQ-icIjhWK-css" data-testid="kui-box"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-knmidH-justify-space-between c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iezzqNG-css" data-testid="kui-flex"><p class="c-kAArxJ" data-testid="kui-text">Linux / arm64</p><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-ejCoEP-direction-row c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-dhzjXW-iewaIKw-css container-entity-details-scan-rating" data-testid="kui-flex"><div class="c-dhzjXW c-dhzjXW-jroWjL-align-center c-dhzjXW-iTKOFX-direction-column c-dhzjXW-awKDG-justify-flex-start c-dhzjXW-kVNAnR-wrap-nowrap c-PJLV 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aria-controls="radix-:R1ddlm6:-content-Overview" data-state="active" id="radix-:R1ddlm6:-trigger-Overview" class="c-jUxYmc c-jUxYmc-beqYnI-isActive-true" data-testid="kui-tab-trigger" tabindex="-1" data-orientation="horizontal" data-radix-collection-item="">Overview</button><button type="button" role="tab" aria-selected="false" aria-controls="radix-:R1ddlm6:-content-Tags" data-state="inactive" id="radix-:R1ddlm6:-trigger-Tags" class="c-jUxYmc" data-testid="kui-tab-trigger" tabindex="-1" data-orientation="horizontal" data-radix-collection-item="">Tags</button><button type="button" role="tab" aria-selected="false" aria-controls="radix-:R1ddlm6:-content-Layers" data-state="inactive" id="radix-:R1ddlm6:-trigger-Layers" class="c-jUxYmc" data-testid="kui-tab-trigger" tabindex="-1" data-orientation="horizontal" data-radix-collection-item="">Layers</button><button type="button" role="tab" aria-selected="false" aria-controls="radix-:R1ddlm6:-content-Security Scanning" data-state="inactive" 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style="font-family: Roboto;color:black"><a rel="noopener noreferrer" href="https://catalog.ngc.nvidia.com/orgs/nvidia/collections/deepstream_sdk"><span style="color:#76B900;text-decoration:none">DeepStream SDK Collection</span></a></span><span style="font-family:Roboto;color:#050505">. </span></p> <p><span style="font-family:Roboto; color:#050505">This collection serves as a hub for all DeepStream assets. Make sure you check it out!</span></p> <h2 id="deepstream-container-for-enterprise-grade-gpus"><strong><span style="font-family:Roboto;color:#76B900">DeepStream container for Enterprise Grade GPUs</span></strong></h2> <p><span style="font-family:Roboto; color:#050505">Please refer to the section below which describes the different container options offered for </span><span style="font-family:Roboto; color:black"><a rel="noopener noreferrer" href="https://www.nvidia.com/en-us/data-center/data-center-gpus/"><span style="color:#76B900;text-decoration:none">NVIDIA Data Center GPUs</span></a></span><span style="font-family:Roboto;color:#050505"> running on x86 platform.</span></p> <table> <colgroup> <col style="width: 30%"> <col style="width: 15%"> <col style="width: 15%"> <col style="width: 40%"> </colgroup> <thead> <tr style="height:10.4pt"> <th style="width: 141.1pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="188"><p><strong><span style="font-family:Roboto;color:#050505">Container Name</span></strong></p></th> <th style="width: 74.65pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="100"><p><strong><span style="font-family:Roboto;color:#050505">Architecture</span></strong></p></th> <th style="width: 121.05pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="161"><p><strong><span style="font-family:Roboto;color:#050505">License Type</span></strong></p></th> <th style="width: 176.9pt; padding: .75pt .75pt .75pt .75pt; height: 10.4pt" data-valign="top" width="236"><p><strong><span style="font-family:Roboto;color:#050505">Notes</span></strong></p></th> </tr> </thead> <tbody> <tr style="height:10.4pt"> <td style="width: 141.1pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="188"><p><strong><span style="font-family:Roboto;color:#050505; background:#FAFAFA">deepstream:7.1-triton-multiarch</span></strong></p></td> <td style="width: 74.65pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="100"><p><span style="font-family:Roboto;color:#050505">Multi-Arch</span></p> <p><span style="font-family:Roboto;color:#050505">x86 + Jetson</span></p></td> <td style="width: 121.05pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="161"><p><span style="font-family:Roboto;color:#050505">Deployment</span></p></td> <td style="width: 176.9pt; background: #FAFAFA; padding: .75pt .75pt .75pt .75pt; height: 10.4pt" data-valign="top" width="236"><p><span style="font-family:Roboto;color:#050505;background: #FAFAFA">The DeepStream Triton container enables inference using </span><span style="font-family:Roboto;color:black"><a href="https://developer.nvidia.com/nvidia-triton-inference-server"><span style="color:#76B900;background:#FAFAFA;text-decoration:none">Triton Inference Server</span></a></span><span style="font-family:Roboto;color:#050505; background:#FAFAFA">. With Triton developers can run inference natively using TensorFlow, TensorFlow-TensorRT, PyTorch and ONNX-RT. Inference with Triton is supported in the reference application (deepstream-app)</span></p></td> </tr> <tr style="height:20.45pt"> <td style="width: 141.1pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 20.45pt" data-valign="top" width="188"><p><strong><span style="font-family:Roboto;color:#050505; background:white">deepstream:7.1-samples-multiarch</span></strong></p></td> <td style="width: 74.65pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 20.45pt" data-valign="top" width="100"><p><span style="font-family:Roboto;color:#050505">Multi-Arch</span></p> <p><span style="font-family:Roboto;color:#050505">x86 + Jetson </span></p></td> <td style="width: 121.05pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 20.45pt" data-valign="top" width="161"><p><span style="font-family:Roboto;color:#050505">Deployment</span></p></td> <td style="width: 176.9pt; padding: .75pt .75pt .75pt .75pt; height: 20.45pt" data-valign="top" width="236"><p><span style="font-family:Roboto;color:#050505;background: white">The DeepStream samples container extends the base container to also include sample applications that are included in the DeepStream SDK along with associated config files, models, and streams. This container is ideal to understand and explore the DeepStream SDK using the provided samples.</span></p></td> </tr> <tr style="height:10.4pt"> <td style="width: 141.1pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="188"><p><strong><span style="font-family:Roboto;color:#050505; background:#FAFAFA">deepstream:7.1-gc-triton-devel</span></strong></p></td> <td style="width: 74.65pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="100"><p><span style="font-family:Roboto;color:#050505">x86</span></p></td> <td style="width: 121.05pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="161"><p><span style="font-family:Roboto;color:#050505">Development</span></p></td> <td style="width: 176.9pt; background: #FAFAFA; padding: .75pt .75pt .75pt .75pt; height: 10.4pt" data-valign="top" width="236"><p><span style="font-family:Roboto;color:#050505;background: #FAFAFA">The DeepStream development container is the recommended container to get you started as it includes Graph Composer, the build toolchains, development libraries and packages necessary for building DeepStream reference applications within the container. This container is slightly larger in size by virtue of including the build dependencies.</span></p></td> </tr> <tr style="height:10.4pt"> <td style="width: 138.4pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="185"><p><strong><span style="font-family:Roboto;color:black">deepstream:7.1-triton-arm-sbsa</span></strong></p></td> <td style="width: 88.7pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="118"><p><span style="font-family:Roboto;color:#050505">SBSA</span></p></td> <td style="width: 118.6pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt" data-valign="top" width="158"><p><span style="font-family:Roboto;color:#050505">Developer Preview</span></p></td> <td style="width: 168.0pt; background: #FAFAFA; padding: .75pt .75pt .75pt .75pt; height: 10.4pt" data-valign="top" width="224"><p><span style="font-family:Roboto;color:#050505">SBSA container for ARM based servers and systems.</span></p></td> </tr> </tbody> </table> <p><strong><span style="font-family: Roboto;color:#050505;font-weight:normal"> </span></strong></p> <p><em><strong><span style="font-size:12.0pt;font-family:Roboto;color:#050505;background:white">NOTE:</span></strong></em><span style="font-size:12.0pt;font-family:Roboto;color:#050505"> </span><strong><span style="font-size:12.0pt;font-family:Roboto;color:#050505; background:white;font-weight:normal">Dockers from previous CUDA releases</span></strong><span style="font-size:12.0pt;font-family:Roboto;color:#050505;background:white"> DeepStream dockers or dockers derived from previous releases (before DeepStream 6.1) will need to update their CUDA GPG key to perform software updates. You can find additional details </span><span style="color:black"><a rel="noopener noreferrer" href="https://forums.developer.nvidia.com/t/notice-cuda-linux-repository-key-rotation/212772"><span style="font-size:12.0pt;font-family:Roboto;color:#76B900;background:white; text-decoration:none">here</span></a></span><span style="font-size:12.0pt; font-family:Roboto;color:#050505;background:white"> for details.</span></p> <h2 id="getting-started"><strong><span style="font-family:Roboto;color:#76B900">Getting Started</span></strong></h2> <h3 id="prerequisites"><span style="font-family:Roboto;color:#76B900">Prerequisites:</span></h3> <p><span style="font-family:Roboto; color:#050505">Ensure these prerequisites are installed in your system before proceeding to the next step:</span></p> <table> <colgroup> <col style="width: 20%"> <col style="width: 80%"> </colgroup> <thead> <tr style="height:11.15pt"> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.15pt"><p><strong><span style="font-family:Roboto;color:#050505">Component</span></strong></p></th> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.15pt"><p><strong><span style="font-family:Roboto;color:#050505">Details</span></strong></p></th> </tr> </thead> <tbody> <tr style="height:32.95pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 32.95pt"><p><span style="font-family:Roboto;color:black"><a href="https://github.com/NVIDIA/nvidia-docker"><span style="color:#76B900; text-decoration:none">nvidia-docker</span></a></span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 32.95pt"><p><span style="font-family:Roboto;color:#050505">We recommend using Docker 20.10.13 along with the latest nvidia-container-toolkit </span></p> <p><span style="font-family:Roboto;color:#050505">as described in the installation steps. Usage of <strong><span style="font-family: Roboto">nvidia-docker2 </span></strong>packages in conjunction </span></p> <p><span style="font-family:Roboto;color:#050505">with prior docker versions are now deprecated.</span></p></td> </tr> <tr style="height:22.05pt"> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 22.05pt"><p><span style="font-family:Roboto;color:black"><a href="https://www.nvidia.com/download/index.aspx"><span style="color:#76B900; text-decoration:none">NVIDIA GPU Driver</span></a></span></p></td> <td style="background: transparent; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 22.05pt"><p><span style="font-family:Roboto;color:#050505">Use version: </span><span style="font-family:Roboto;color:#050505">535.183.06 f</span><span style="font-family:Roboto;color:#050505">or production deployments for Data Center GPUs</span><span style="font-family:Roboto"><br> <span style="color:#050505">Please Note that for GeForce and RTX cards GPU driver must be </span></span><span style="font-family:Roboto;color:#050505">560.35.03 </span><span style="font-family:Roboto;color:#050505">or higher.</span></p></td> </tr> <tr style="height:43.45pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt"><p><span style="font-family:Roboto;color:#050505">Codecs script</span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt"><p><span style="font-family:Roboto;color:#050505">DeepStream dockers no longer package libraries for certain multimedia operations such as: audio data parsing, CPU decode, and CPU encode. This translates into limited functionality with MP4 files. </span></p> <p><span style="font-family:Roboto;color:#050505">We provide a script to install these components. Make sure to execute the script within the container:</span><span style="font-family:Roboto;color:black"><br> </span><span style="font-family:Roboto;color:#050505"><code>/opt/nvidia/deepstream/deepstream/user_additional_install.sh</code></span></p></td> </tr> <tr style="height:43.45pt"> <td style="width: 70.75pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt" width="94"></td> <td style="width: 437.0pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt" width="583"></td> </tr> </tbody> </table> <p><span style="font-family:Roboto"> </span></p> <h3 id="pull-the-container"><span style="font-family:Roboto;color:#76B900">Pull the container:</span></h3> <p><span style="font-family:Roboto;color:#050505">1.<span style="font:7.0pt "Times New Roman"">    </span></span><span style="font-family:Roboto;color:#050505">From the top-right corner of this page, select the pull-down <em><span style="font-family: Roboto">Get Container</span></em> and copy the URL to the default container. Alternatively, click on <em><span style="font-family:Roboto">View all tags</span></em> to select a different container.</span></p> <p><span style="font-family:Roboto;color:#050505">2.<span style="font:7.0pt "Times New Roman"">    </span></span><span style="font-family:Roboto;color:#050505">Open a command prompt on your Linux compatible system and run the following command. Ensure the pull completes successfully before proceeding to the next step.</span></p> <pre><code>docker pull nvcr.io/nvidia/deepstream:7.1-gc-triton-devel </code></pre> <h3 id="-"><span style="font-family:Roboto;color:#76B900"> </span></h3> <h3 id="run-the-container"><span style="font-family:Roboto;color:#76B900">Run the container:</span></h3> <ol> <li><span style="font-family:Roboto">Allow external applications to connect to the host's X display:</span></li> </ol> <pre><code>xhost + </code></pre> <ol> <li><span style="font-family:Roboto">Run the docker container (use the desired container tag in the command line below):</span><span style="font-family: Roboto;color:black"><br></span><span style="font-family:Roboto">If using docker (recommended):</span></li> </ol> <p><span style="font-family:Roboto; color:#050505">For x86 Systems:</span></p> <pre><code>docker run --gpus all -it --rm --network=host --privileged -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -w /opt/nvidia/deepstream/deepstream-7.1 nvcr.io/nvidia/deepstream:7.1-gc-triton-devel </code></pre> <p><span style="font-family:Roboto; color:black">For ARM SBSA Systems:</span></p> <pre><code>docker run -it --rm --runtime=nvidia --network=host -e NVIDIA_DRIVER_CAPABILITIES=compute,utility,video,graphics --gpus all --privileged -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix -v /etc/X11:/etc/X11 nvcr.io/nvidia/deepstream:7.1-triton-arm-sbsa </code></pre> <p><strong><span style="font-family: Roboto;color:#050505"> </span></strong></p> <p><strong><span style="font-family: Roboto;color:#050505">Docker command line options explained:</span></strong></p> <table> <colgroup> <col style="width: 20%"> <col style="width: 80%"> </colgroup> <thead> <tr style="height:11.8pt"> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><strong><span style="font-family:Roboto;color:#050505">Option</span></strong></p></th> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><strong><span style="font-family:Roboto;color:#050505">Description</span></strong></p></th> </tr> </thead> <tbody> <tr style="height:11.8pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">-it</span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">means run in interactive mode</span></p></td> </tr> <tr style="height:11.8pt"> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">--gpus</span></p></td> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">This option makes GPUs accessible inside the container. It is also possible to specify a device (i.e. '"'device=0'")</span></p></td> </tr> <tr style="height:11.8pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">--rm</span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">will delete the container when finished</span></p></td> </tr> <tr style="height:11.8pt"> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">--privileged</span></p></td> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">grants access to the container to the host resources. This flag is need to run Graph Composer from the -devel container</span></p></td> </tr> <tr style="height:34.5pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 34.5pt"><p><span style="font-family:Roboto;color:#050505">-v</span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 34.5pt"><p><span style="font-family:Roboto;color:#050505">Specifies the mounting directory and it can be used to mount host's X11 display in the container filesystem to render output videos. Users can mount additional directories (using -v option) as required to easily access configuration files, models, and other resources. (i.e., use -v /home:/home) to mount the home directory into the container filesystem.</span></p></td> </tr> <tr style="height:23.35pt"> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt"><p><span style="font-family:Roboto;color:#050505">--cap-add SYSLOG</span></p></td> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt"><p><span style="font-family:Roboto;color:#050505">This option needs to be included to enable usage of the nvds_logger functionality inside the container</span></p></td> </tr> <tr style="height:23.35pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt"><p><span style="font-family:Roboto;color:#050505">-p</span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt"><p><span style="font-family:Roboto;color:#050505">to enable RTSP out, network port needs to be mapped from container to host to enable incoming connections using the -<em><span style="font-family:Roboto">p </span></em>option in the command line; eg :<em><span style="font-family:Roboto">-p 8554:8554</span></em></span></p></td> </tr> </tbody> </table> <p><span style="font-family:Symbol; color:#050505">路<span style="font:7.0pt "Times New Roman"">      </span></span><em><strong><span style="font-family:Roboto;color:#050505">NOTES:</span></strong></em><span style="font-family:Roboto;color:black"><br></span><span style="font-family:Roboto;color:#050505">Please refer to </span><span style="font-family:Roboto;color:#050505"><code>/opt/nvidia/deepstream/deepstream-7.1/README</code></span><span style="font-family:Roboto;color:#050505"> inside the container for details on deepstream-app usage.</span></p> <p><span style="font-family:Symbol; color:#050505">路<span style="font:7.0pt "Times New Roman"">      </span></span><strong><span style="font-family:Roboto;color:#050505">Using the Triton docker as a base image:</span></strong><span style="font-family:Roboto; color:black"><br></span><span style="font-family:Roboto;color:#050505">For creating a base image using the Triton (x86) docker as a baseline, one approach is to use an entry point with a combined script so end users can run a specific script for their application.</span></p> <pre><code>ENTRYPOINT ["/bin/sh", "-c" , "/opt/nvidia/deepstream/deepstream-     7.1/entrypoint.sh && \<custom command\>"]               </code></pre> <p><span style="font-family: Symbol;color:#050505">路<span style="font:7.0pt "Times New Roman"">      </span></span><span style="font-family:Roboto;color:#050505">For Triton samples, while running</span><span style="font-family:Roboto;color:black"> </span><span style="font-family:Roboto;color:black">/opt/nvidia/deepstream/deepstream-7.1/samples/prepare_classification_test_video.sh, </span><span style="font-family:Roboto;color:#050505">FFMPEG package along with additional dependent libs need to be installed using command below. For additional information please refer to section 1.4 (for codecs: DIFFERENCES WITH  DEEPSTREAM 6.1 AND ABOVE) & section 1.5  for BREAKING CHANGES in Release notes.</span></p> <pre><code>apt-get install --reinstall libflac8 libmp3lame0 libxvidcore4 ffmpeg </code></pre> <h2 id="known-limitations"><span style="font-family: Roboto;color:#76B900">Known Limitations</span></h2> <p><strong><span style="font-family:Roboto;color:#050505">DeepStream 7.1 Triton containers (</span><span style="font-family:Roboto; color:#050505">x86 and SBSA) have the following CVE(s):</span></strong></p> <p> </p> <table> <colgroup> <col style="width: 20%"> <col style="width: 80%"> </colgroup> <thead> <tr style="height:11.8pt"> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><strong><span style="font-family:Roboto;color:#050505">CVE</span></strong></p></th> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><strong><span style="font-family:Roboto;color:#050505">Description</span></strong></p></th> </tr> </thead> <tbody> <tr style="height:11.8pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:black"><a href="http://people.ubuntu.com/~ubuntu-security/cve/CVE-2022-29501"><span style="color:#70AD47;text-decoration:none">CVE-2022-29501</span></a></span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt"><p><span style="font-family:Roboto;color:#050505">This impacts both libslurm37 and libpmi2-0-dev packages. SchedMD Slurm 21.08.x through 20.11.x has Incorrect Access Control that leads to Escalation of Privileges and code execution. There is no public fix available for Ubuntu 22.04. There is a patch for those who have an Ubuntu PRO subscription. Also, there is a fix available upstream. This is not a CVE specific to DeepStream.</span></p></td> </tr> <tr style="height:15.0pt"> <td style="width: 75.15pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 15.0pt" width="100"><p><span style="font-family:Roboto; color:black"><a href="http://people.ubuntu.com/~ubuntu-security/cve/CVE-2022-29500"><span style="color:#70AD47">CVE-2022-29500</span></a></span></p> <p><span style="font-family:Roboto;color:#76B900"> </span></p></td> <td style="width: 437.95pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 15.0pt" width="584"><p><span style="font-family:Roboto;color:#050505">This impacts both libslurm37 and libpmi2-0-dev packages. SchedMD Slurm 21.08.x through 20.11.x has Incorrect Access Control that leads to Information Disclosure. There is no public fix available for Ubuntu 22.04. There is a patch for those who have an Ubuntu PRO subscription. Also, there is a fix available upstream.  This is not a CVE specific to DeepStream.</span></p> <p><span style="font-family:Roboto;color:#050505"> </span></p></td> </tr> </tbody> </table> <p><span style="font-family:Roboto"> </span></p> <p><span style="font-family:Roboto; color:#050505"> </span></p> <h2 id="--1"><strong><span style="font-family:Roboto;color:#76B900"> </span></strong></h2> <h2 id="license"><strong><span style="font-family:Roboto;color:#76B900">License</span></strong></h2> <p><span style="font-family:Roboto; color:#050505">The following licenses apply to the DeepStream SDK assets:</span></p> <table> <colgroup> <col style="width: 20%"> <col style="width: 30%"> <col style="width: 50%"> </colgroup> <thead> <tr style="height:24.4pt"> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.4pt"><p><strong><span style="font-family:Roboto;color:#050505">Asset</span></strong></p></th> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.4pt"><p><strong><span style="font-family:Roboto;color:#050505">Applicable EULA</span></strong></p></th> <th style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.4pt"><p><strong><span style="font-family:Roboto;color:#050505">Notes</span></strong></p></th> </tr> </thead> <tbody> <tr style="height:48.1pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><strong><span style="font-family:Roboto;color:#050505">SDK</span></strong></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:black"><a href="https://developer.nvidia.com/deepstream-eula"><span style="color:#76B900; text-decoration:none">DeepStream SDK EULA</span></a></span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:#050505">A copy of the license is available on the following folder of the SDK:</span><span style="font-family:Roboto;color:black"><br> </span><span style="font-family:Roboto;color:#050505"><code>/opt/nvidia/deepstream/deepstream-7.1/LicenseAgreement.pdf</code></span></p></td> </tr> <tr style="height:48.1pt"> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><strong><span style="font-family:Roboto;color:#050505">Containers</span></strong></p></td> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:black"><a href="https://developer.nvidia.com/deepstream-eula-ngc"><span style="color:#76B900;text-decoration:none">DeepStream NGC License</span></a></span></p></td> <td style="background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:#050505">License grants redistribution rights allowing developers to build applications on top of the DeepStream containers</span></p></td> </tr> <tr style="height:48.1pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><strong><span style="font-family:Roboto;color:#050505">Development Containers</span></strong></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:black"><a href="https://developer.nvidia.com/deepstream-eula-ngc-devel"><span style="color:#76B900;text-decoration:none">DeepStream NGC Development License</span></a></span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:#050505">A development-only license. Does not allow redistribution of the container</span></p></td> </tr> <tr style="height:48.1pt"> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><strong><span style="font-family:Roboto;color:#050505">TAO Models</span></strong></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:black"><a href="https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/"><span style="color:#76B900;text-decoration:none">NVIDIA AI Product License</span></a></span></p></td> <td style="background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt"><p><span style="font-family:Roboto;color:#050505">All TAO pre-trained models included in the DeepStream SDK are covered by the NVIDIA AI Product License. </span></p></td> </tr> </tbody> </table> <p><strong><span style="font-family: Roboto;color:#050505">NOTE: By pulling, downloading, or using the DeepStream SDK, you accept the terms and conditions of the EULA licenses listed above.</span></strong></p> <p><span style="font-family:Roboto; color:#050505">Please note that all container images come with the following packages installed:</span></p> <ul> <li><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://github.com/edenhill/librdkafka/blob/7101c2310341ab3f4675fc565f64f0967e135a6a/LICENSE"><span style="color:#76B900;text-decoration:none">librdkafka</span></a></span></li> <li><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://github.com/redis/hiredis/blob/d5b4c69b7113213c1da3a0ccbfd1ee1b40443c7a/COPYING"><span style="color:#76B900;text-decoration:none">hiredis</span></a></span></li> <li><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://gitlab.kitware.com/cmake/cmake/-/blob/v3.16.3/Copyright.txt"><span style="color:#76B900;text-decoration:none">cmake</span></a></span></li> <li><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://www.gnu.org/software/autoconf/"><span style="color:#76B900; text-decoration:none">autoconf</span></a></span><span style="font-family: Roboto"> ( </span><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://www.gnu.org/licenses/gpl-3.0.txt"><span style="color:#76B900; text-decoration:none">license</span></a></span><span style="font-family: Roboto"> and </span><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://www.gnu.org/licenses/autoconf-exception-3.0.en.html"><span style="color:#76B900;text-decoration:none">license exception</span></a></span><span style="font-family:Roboto"> )</span></li> <li><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://git.savannah.gnu.org/cgit/libtool.git/tree/AUTHORS"><span style="color:#76B900;text-decoration:none">libtool</span></a></span></li> <li><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="http://changelogs.ubuntu.com/changelogs/pool/main/libg/libglvnd/libglvnd_1.3.2-1~ubuntu0.20.04.2/copyright"><span style="color:#76B900;text-decoration:none">libglvnd-dev</span></a></span></li> <li><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="http://changelogs.ubuntu.com/changelogs/pool/main/m/mesa/mesa_21.2.6-0ubuntu0.1~20.04.2/copyright"><span style="color:#76B900;text-decoration:none" lang="ES-MX">libgl1-mesa-dev,libegl1-mesa-dev,libgles2-mesa-dev</span></a></span></li> </ul> <p><span style="font-family:Roboto; color:#050505">In addition, the <strong><span style="font-family:Roboto">(deepstream:7.1-gc-triton-devel)</span></strong> container includes the </span><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="https://github.com/KhronosGroup/Vulkan-ValidationLayers/blob/v1.1.123/LICENSE.txt"><span style="color:#76B900;text-decoration:none">Vulkan Validation Layers (v1.1.123)</span></a></span><span style="font-family:Roboto;color:#050505"> to support the NVIDIA Graph Composer.</span></p> <p><span style="font-family:Roboto; color:#050505">The software listed below is provided under the terms of GPLv3.</span></p> <p><span style="font-family:Roboto; color:#050505">To obtain source code for software provided under licenses that require redistribution of source code, including the GNU General Public License (GPL) and GNU Lesser General Public License (LGPL), contact </span><span style="font-family:Roboto;color:black"><a rel="noopener noreferrer" href="mailto:oss-requests@nvidia.com"><span style="color:#76B900;text-decoration:none">oss-requests@nvidia.com</span></a></span><span style="font-family:Roboto;color:#050505">. This offer is valid for a period of three (3) years from the date of the distribution of this product by NVIDIA CORPORATION.</span></p> <table> <colgroup> <col style="width: 50%"> <col style="width: 50%"> </colgroup> <thead> <tr style="height:24.2pt"> <th style="width: 230.3pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="307"><p><strong><span style="font-family:Roboto;color:#050505">Component</span></strong></p></th> <th style="width: 259.95pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="347"><p><strong><span style="font-family:Roboto;color:#050505">License</span></strong></p></th> </tr> </thead> <tbody> <tr style="height:24.2pt"> <td style="width: 230.3pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="307"><p><span style="font-family:Roboto;color:#050505">autoconf</span></p></td> <td style="width: 259.95pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="347"><p><span style="font-family:Roboto;color:#050505">GPL 3.0</span></p></td> </tr> <tr style="height:24.2pt"> <td style="width: 230.3pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="307"><p><span style="font-family:Roboto;color:#050505">libtool</span></p></td> <td style="width: 259.95pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="347"><p><span style="font-family:Roboto;color:#050505">GPL 3.0</span></p></td> </tr> <tr style="height:24.2pt"> <td style="width: 230.3pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="307"><p><span style="font-family:Roboto;color:#050505">libglvnd-dev</span></p></td> <td style="width: 259.95pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="347"><p><span style="font-family:Roboto;color:#050505">GPL 3.0</span></p></td> </tr> <tr style="height:24.2pt"> <td style="width: 230.3pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="307"><p><span style="font-family:Roboto;color:#050505">libgl1-mesa-dev</span></p></td> <td style="width: 259.95pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="347"><p><span style="font-family:Roboto;color:#050505">GPL 3.0</span></p></td> </tr> <tr style="height:24.2pt"> <td style="width: 230.3pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="307"><p><span style="font-family:Roboto;color:#050505">libegl1-mesa-dev</span></p></td> <td style="width: 259.95pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.2pt" data-valign="top" width="347"><p><span style="font-family:Roboto;color:#050505">GPL 3.0</span></p></td> </tr> <tr style="height:23.4pt"> <td style="width: 230.3pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.4pt" data-valign="top" width="307"><p><span style="font-family:Roboto;color:#050505">libgles2-mesa-dev</span></p></td> <td style="width: 259.95pt; background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.4pt" data-valign="top" width="347"><p><span style="font-family:Roboto;color:#050505">GPL 3.0</span></p></td> </tr> </tbody> </table> <h2 id="ethical-ai"><span style="font-family:Roboto;color:#76B900">Ethical AI</span></h2> <p><em><span style="font-family:Roboto; color:#050505">NVIDIA鈥檚 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鈥檚 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.</span></em></p> </div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div><script id="__NEXT_DATA__" type="application/json">{"props":{"pageProps":{"data":{"labels":["Classification","Computer Vision","Inference","Machine Learning","Object Detection","Optical Inspection","Retail","Retail Analytics","Smart Cities","Toolkit"],"isMultiArchitecture":true,"latestArchitectureVariants":[{"rating":"B","scanStatus":"SCAN_COMPLETE","modelNames":[],"compressedSize":6047374662,"architecture":"arm64","createdDate":"2024-10-18T04:40:00.441Z","os":"linux","digest":"sha256:20cb116e76bb066c046f83b6b28d0cb685ed5ad6a586978c9bba49d8f0a9547b","scanDate":"2025-02-01T00:03:55.530Z"},{"rating":"B","scanStatus":"SCAN_COMPLETE","modelNames":[],"compressedSize":11020763231,"architecture":"amd64","createdDate":"2024-10-18T04:40:00.441Z","os":"linux","digest":"sha256:257835219407aa67c8af4a535ae820bbabe7d72b50fa4e247cca167364b4b1d1","scanDate":"2025-02-01T00:03:55.793Z"}],"isMultinodeEnabled":false,"builtBy":"NVIDIA","logo":"https://assets.nvidiagrid.net/ngc/logos/Deepstream.png","shortDescription":"DeepStream SDK delivers a complete streaming analytics toolkit for AI based video and image understanding and multi-sensor processing. 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Make sure you check it out!\u003c/span\u003e\n\n## **\u003cspan style=\"font-family:Roboto;color:#76B900\"\u003eDeepStream container for Enterprise Grade GPUs\u003c/span\u003e**\n\n\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003ePlease refer to the section below which describes the\ndifferent container options offered\nfor聽\u003c/span\u003e\u003cspan style=\"font-family:Roboto;\ncolor:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003eNVIDIA\nData Center\nGPUs\u003c/span\u003e](https://www.nvidia.com/en-us/data-center/data-center-gpus/)\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003e聽running\non x86 platform.\u003c/span\u003e\n\n\u003ctable\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 30%\" /\u003e\n\u003ccol style=\"width: 15%\" /\u003e\n\u003ccol style=\"width: 15%\" /\u003e\n\u003ccol style=\"width: 40%\" /\u003e\n\u003c/colgroup\u003e\n\u003cthead\u003e\n\u003ctr style=\"height:10.4pt\"\u003e\n\u003cth width=\"188\" data-valign=\"top\"\nstyle=\"width: 141.1pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eContainer\nName\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth width=\"100\" data-valign=\"top\"\nstyle=\"width: 74.65pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eArchitecture\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth width=\"161\" data-valign=\"top\"\nstyle=\"width: 121.05pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eLicense\nType\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth width=\"236\" data-valign=\"top\"\nstyle=\"width: 176.9pt; padding: .75pt .75pt .75pt .75pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eNotes\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height:10.4pt\"\u003e\n\u003ctd width=\"188\" data-valign=\"top\"\nstyle=\"width: 141.1pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505;\n background:#FAFAFA\"\u003edeepstream:7.1-triton-multiarch\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"100\" data-valign=\"top\"\nstyle=\"width: 74.65pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eMulti-Arch\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003ex86 +\nJetson\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"161\" data-valign=\"top\"\nstyle=\"width: 121.05pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDeployment\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"236\" data-valign=\"top\"\nstyle=\"width: 176.9pt; background: #FAFAFA; padding: .75pt .75pt .75pt .75pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505;background:\n #FAFAFA\"\u003eThe DeepStream Triton container enables inference using\n\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"https://developer.nvidia.com/nvidia-triton-inference-server\"\u003e\u003cspan\nstyle=\"color:#76B900;background:#FAFAFA;text-decoration:none\"\u003eTriton\nInference Server\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505;\n background:#FAFAFA\"\u003e. With Triton developers can run inference\nnatively using TensorFlow, TensorFlow-TensorRT, PyTorch and ONNX-RT.\nInference with Triton is supported in the reference application\n(deepstream-app)\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:20.45pt\"\u003e\n\u003ctd width=\"188\" data-valign=\"top\"\nstyle=\"width: 141.1pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 20.45pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505;\n background:white\"\u003edeepstream:7.1-samples-multiarch\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"100\" data-valign=\"top\"\nstyle=\"width: 74.65pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 20.45pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eMulti-Arch\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003ex86 + Jetson\n\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"161\" data-valign=\"top\"\nstyle=\"width: 121.05pt; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 20.45pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDeployment\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"236\" data-valign=\"top\"\nstyle=\"width: 176.9pt; padding: .75pt .75pt .75pt .75pt; height: 20.45pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505;background:\n white\"\u003eThe DeepStream samples container extends the base container to\nalso include sample applications that are included in the DeepStream SDK\nalong with associated config files, models, and streams. This container\nis ideal to understand and explore the DeepStream SDK using the provided\nsamples.\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:10.4pt\"\u003e\n\u003ctd width=\"188\" data-valign=\"top\"\nstyle=\"width: 141.1pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505;\n background:#FAFAFA\"\u003edeepstream:7.1-gc-triton-devel\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"100\" data-valign=\"top\"\nstyle=\"width: 74.65pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003ex86\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"161\" data-valign=\"top\"\nstyle=\"width: 121.05pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDevelopment\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"236\" data-valign=\"top\"\nstyle=\"width: 176.9pt; background: #FAFAFA; padding: .75pt .75pt .75pt .75pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505;background:\n #FAFAFA\"\u003eThe DeepStream development container is the recommended\ncontainer to get you started as it includes Graph Composer, the build\ntoolchains, development libraries and packages necessary for building\nDeepStream reference applications within the container. This container\nis slightly larger in size by virtue of including the build\ndependencies.\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:10.4pt\"\u003e\n\u003ctd width=\"185\" data-valign=\"top\"\nstyle=\"width: 138.4pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003edeepstream:7.1-triton-arm-sbsa\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"118\" data-valign=\"top\"\nstyle=\"width: 88.7pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eSBSA\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"158\" data-valign=\"top\"\nstyle=\"width: 118.6pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDeveloper\nPreview\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"224\" data-valign=\"top\"\nstyle=\"width: 168.0pt; background: #FAFAFA; padding: .75pt .75pt .75pt .75pt; height: 10.4pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eSBSA container for ARM based\nservers and systems.\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\n**\u003cspan style=\"font-family:\nRoboto;color:#050505;font-weight:normal\"\u003e聽\u003c/span\u003e**\n\n***\u003cspan style=\"font-size:12.0pt;font-family:Roboto;color:#050505;background:white\"\u003eNOTE:\u003c/span\u003e***\u003cspan style=\"font-size:12.0pt;font-family:Roboto;color:#050505\"\u003e \u003c/span\u003e**\u003cspan style=\"font-size:12.0pt;font-family:Roboto;color:#050505;\nbackground:white;font-weight:normal\"\u003eDockers from previous CUDA releases\u003c/span\u003e**\u003cspan style=\"font-size:12.0pt;font-family:Roboto;color:#050505;background:white\"\u003e聽DeepStream dockers or dockers derived from previous releases (before DeepStream 6.1) will need to update their CUDA GPG key to perform software updates. You can find additional details聽\u003c/span\u003e\u003cspan style=\"color:black\"\u003e[\u003cspan style=\"font-size:12.0pt;font-family:Roboto;color:#76B900;background:white;\ntext-decoration:none\"\u003ehere\u003c/span\u003e](https://forums.developer.nvidia.com/t/notice-cuda-linux-repository-key-rotation/212772)\u003c/span\u003e\u003cspan style=\"font-size:12.0pt;\nfont-family:Roboto;color:#050505;background:white\"\u003e聽for details.\u003c/span\u003e\n\n**\u003cspan style=\"font-family:Roboto;color:#76B900\"\u003eGetting Started\u003c/span\u003e**\n-------------------------------------------------------------------------\n\n### \u003cspan style=\"font-family:Roboto;color:#76B900\"\u003ePrerequisites:\u003c/span\u003e\n\n\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003eEnsure these prerequisites are installed in your system\nbefore proceeding to the next step:\u003c/span\u003e\n\n\u003ctable\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 20%\" /\u003e\n\u003ccol style=\"width: 80%\" /\u003e\n\u003c/colgroup\u003e\n\u003cthead\u003e\n\u003ctr style=\"height:11.15pt\"\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.15pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eComponent\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.15pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDetails\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height:32.95pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 32.95pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"https://github.com/NVIDIA/nvidia-docker\"\u003e\u003cspan\nstyle=\"color:#76B900;\n text-decoration:none\"\u003envidia-docker\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 32.95pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eWe recommend using Docker\n20.10.13 along with the latest nvidia-container-toolkit \u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eas described in the\ninstallation steps. Usage of \u003cstrong\u003e\u003cspan style=\"font-family:\n Roboto\"\u003envidia-docker2 \u003c/span\u003e\u003c/strong\u003epackages in conjunction\n\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003ewith prior docker\nversions are now deprecated.\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:22.05pt\"\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 22.05pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"https://www.nvidia.com/download/index.aspx\"\u003e\u003cspan\nstyle=\"color:#76B900;\n text-decoration:none\"\u003eNVIDIA GPU Driver\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: transparent; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 22.05pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eUse version: \u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e535.183.06 f\u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eor production deployments for\nData Center GPUs\u003c/span\u003e\u003cspan style=\"font-family:Roboto\"\u003e\u003cbr /\u003e\n\u003cspan style=\"color:#050505\"\u003ePlease Note that for GeForce and RTX cards\nGPU driver must be \u003c/span\u003e\u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e560.35.03 \u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eor higher.\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:43.45pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eCodecs script\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDeepStream dockers no longer\npackage libraries for certain multimedia operations such as: audio data\nparsing, CPU decode, and CPU encode. This translates into limited\nfunctionality with MP4 files. \u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eWe provide a script to\ninstall these components. Make sure to execute the script within the\ncontainer:\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:black\"\u003e\u003cbr /\u003e\n\u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e\u003ccode\u003e/opt/nvidia/deepstream/deepstream/user_additional_install.sh\u003c/code\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:43.45pt\"\u003e\n\u003ctd width=\"94\"\nstyle=\"width: 70.75pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt\"\u003e\u003c/td\u003e\n\u003ctd width=\"583\"\nstyle=\"width: 437.0pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 43.45pt\"\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\n\u003cspan style=\"font-family:Roboto\"\u003e聽\u003c/span\u003e\n\n### \u003cspan style=\"font-family:Roboto;color:#76B900\"\u003ePull the container:\u003c/span\u003e\n\n\u003cspan style=\"font-family:Roboto;color:#050505\"\u003e1.\u003cspan style=\"font:7.0pt \u0026quot;Times New Roman\u0026quot;\"\u003e聽聽聽\n\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eFrom the\ntop-right corner of this page, select the\npull-down聽*\u003cspan style=\"font-family:\nRoboto\"\u003eGet Container\u003c/span\u003e*聽and copy the URL to the default container.\nAlternatively, click on聽*\u003cspan style=\"font-family:Roboto\"\u003eView all\ntags\u003c/span\u003e*聽to select a different container.\u003c/span\u003e\n\n\u003cspan style=\"font-family:Roboto;color:#050505\"\u003e2.\u003cspan style=\"font:7.0pt \u0026quot;Times New Roman\u0026quot;\"\u003e聽聽聽\n\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eOpen a\ncommand prompt on your Linux compatible system and run the following\ncommand. Ensure the pull completes successfully before proceeding to the\nnext step.\u003c/span\u003e\n\n docker pull nvcr.io/nvidia/deepstream:7.1-gc-triton-devel\n\n### \u003cspan style=\"font-family:Roboto;color:#76B900\"\u003e聽\u003c/span\u003e\n\n### \u003cspan style=\"font-family:Roboto;color:#76B900\"\u003eRun the container:\u003c/span\u003e\n\n1. \u003cspan style=\"font-family:Roboto\"\u003eAllow external applications to\n connect to the host's X display:\u003c/span\u003e\n\n\u003c!-- --\u003e\n\n xhost +\n\n1. \u003cspan style=\"font-family:Roboto\"\u003eRun the docker container (use the\n desired container tag in the command line\n below):\u003c/span\u003e\u003cspan style=\"font-family:\n Roboto;color:black\"\u003e \n \u003c/span\u003e\u003cspan style=\"font-family:Roboto\"\u003eIf using docker\n (recommended):\u003c/span\u003e\n\n\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003eFor x86 Systems:\u003c/span\u003e\n\n docker run --gpus all -it --rm --network=host --privileged -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -w /opt/nvidia/deepstream/deepstream-7.1 nvcr.io/nvidia/deepstream:7.1-gc-triton-devel\n\n\u003cspan style=\"font-family:Roboto;\ncolor:black\"\u003eFor ARM SBSA Systems:\u003c/span\u003e\n\n docker run -it --rm --runtime=nvidia --network=host -e NVIDIA_DRIVER_CAPABILITIES=compute,utility,video,graphics --gpus all --privileged -e DISPLAY=$DISPLAY -v /tmp/.X11-unix:/tmp/.X11-unix -v /etc/X11:/etc/X11 nvcr.io/nvidia/deepstream:7.1-triton-arm-sbsa\n\n**\u003cspan style=\"font-family:\nRoboto;color:#050505\"\u003e聽\u003c/span\u003e**\n\n**\u003cspan style=\"font-family:\nRoboto;color:#050505\"\u003eDocker command line options explained:\u003c/span\u003e**\n\n\u003ctable\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 20%\" /\u003e\n\u003ccol style=\"width: 80%\" /\u003e\n\u003c/colgroup\u003e\n\u003cthead\u003e\n\u003ctr style=\"height:11.8pt\"\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eOption\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDescription\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height:11.8pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e-it\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003emeans run in interactive\nmode\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:11.8pt\"\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e--gpus\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eThis option makes GPUs\naccessible inside the container. It is also possible to specify a device\n(i.e. '\"'device=0'\")\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:11.8pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e--rm\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003ewill delete the container when\nfinished\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:11.8pt\"\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e--privileged\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003egrants access to the container\nto the host resources. This flag is need to run Graph Composer from the\n-devel container\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:34.5pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 34.5pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e-v\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 34.5pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eSpecifies the mounting\ndirectory and it can be used to mount host's X11 display in the\ncontainer filesystem to render output videos. Users can mount additional\ndirectories (using -v option) as required to easily access configuration\nfiles, models, and other resources. (i.e., use -v /home:/home) to mount\nthe home directory into the container filesystem.\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:23.35pt\"\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e--cap-add\nSYSLOG\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eThis option needs to be\nincluded to enable usage of the nvds_logger functionality inside the\ncontainer\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:23.35pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e-p\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 23.35pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eto enable RTSP out, network\nport needs to be mapped from container to host to enable incoming\nconnections using the -\u003cem\u003e\u003cspan style=\"font-family:Roboto\"\u003ep\n\u003c/span\u003e\u003c/em\u003eoption in the command line; eg :\u003cem\u003e\u003cspan\nstyle=\"font-family:Roboto\"\u003e-p 8554:8554\u003c/span\u003e\u003c/em\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\n\u003cspan style=\"font-family:Symbol;\ncolor:#050505\"\u003e路\u003cspan style=\"font:7.0pt \u0026quot;Times New Roman\u0026quot;\"\u003e聽聽聽聽聽\n\u003c/span\u003e\u003c/span\u003e***\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eNOTES:\u003c/span\u003e***\u003cspan style=\"font-family:Roboto;color:black\"\u003e \n\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003ePlease refer\nto聽\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003e`/opt/nvidia/deepstream/deepstream-7.1/README`\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003e聽inside\nthe container for details on deepstream-app usage.\u003c/span\u003e\n\n\u003cspan style=\"font-family:Symbol;\ncolor:#050505\"\u003e路\u003cspan style=\"font:7.0pt \u0026quot;Times New Roman\u0026quot;\"\u003e聽聽聽聽聽\n\u003c/span\u003e\u003c/span\u003e**\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eUsing the\nTriton docker as a base image:\u003c/span\u003e**\u003cspan style=\"font-family:Roboto;\ncolor:black\"\u003e \n\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eFor creating a\nbase image using the Triton (x86) docker as a baseline, one approach is\nto use an entry point with a combined script so end users can run a\nspecific script for their application.\u003c/span\u003e\n\n ENTRYPOINT [\"/bin/sh\", \"-c\" , \"/opt/nvidia/deepstream/deepstream-聽聽聽聽 7.1/entrypoint.sh \u0026\u0026 \\\u003ccustom command\\\u003e\"]聽聽聽聽聽聽聽聽聽聽聽聽聽聽 \n\n\u003cspan style=\"font-family:\nSymbol;color:#050505\"\u003e路\u003cspan style=\"font:7.0pt \u0026quot;Times New Roman\u0026quot;\"\u003e聽聽聽聽聽\n\u003c/span\u003e\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eFor Triton\nsamples, while\nrunning\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:black\"\u003e\n\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:black\"\u003e/opt/nvidia/deepstream/deepstream-7.1/samples/prepare\\_classification\\_test\\_video.sh,\n\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eFFMPEG package\nalong with additional dependent libs need to be installed using command\nbelow. For additional information please refer to section 1.4 (for\ncodecs: DIFFERENCES WITH聽 DEEPSTREAM 6.1 AND ABOVE) \u0026 section 1.5聽 for\nBREAKING CHANGES in Release notes.\u003c/span\u003e\n\n apt-get install --reinstall libflac8 libmp3lame0 libxvidcore4 ffmpeg\n\n\u003cspan style=\"font-family: Roboto;color:#76B900\"\u003eKnown Limitations\u003c/span\u003e\n----------------------------------------------\n\n**\u003cspan style=\"font-family:Roboto;color:#050505\"\u003eDeepStream 7.1 Triton\ncontainers (\u003c/span\u003e\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003ex86 and SBSA) have the following CVE(s):\u003c/span\u003e**\n\n聽\n\n\u003ctable\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 20%\" /\u003e\n\u003ccol style=\"width: 80%\" /\u003e\n\u003c/colgroup\u003e\n\u003cthead\u003e\n\u003ctr style=\"height:11.8pt\"\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eCVE\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDescription\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height:11.8pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"http://people.ubuntu.com/~ubuntu-security/cve/CVE-2022-29501\"\u003e\u003cspan\nstyle=\"color:#70AD47;text-decoration:none\"\u003eCVE-2022-29501\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 11.8pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eThis impacts both libslurm37\nand libpmi2-0-dev packages. SchedMD Slurm 21.08.x through 20.11.x has\nIncorrect Access Control that leads to Escalation of Privileges and code\nexecution. There is no public fix available for Ubuntu 22.04. There is a\npatch for those who have an Ubuntu PRO subscription. Also, there is a\nfix available upstream. This is not a CVE specific to\nDeepStream.\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:15.0pt\"\u003e\n\u003ctd width=\"100\"\nstyle=\"width: 75.15pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 15.0pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;\n color:black\"\u003e\u003ca\nhref=\"http://people.ubuntu.com/~ubuntu-security/cve/CVE-2022-29500\"\u003e\u003cspan\nstyle=\"color:#70AD47\"\u003eCVE-2022-29500\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-family:Roboto;color:#76B900\"\u003e聽\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd width=\"584\"\nstyle=\"width: 437.95pt; background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 15.0pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eThis impacts both libslurm37\nand libpmi2-0-dev packages. SchedMD Slurm 21.08.x through 20.11.x has\nIncorrect Access Control that leads to Information Disclosure. There is\nno public fix available for Ubuntu 22.04. There is a patch for those who\nhave an Ubuntu PRO subscription. Also, there is a fix available\nupstream.聽 This is not a CVE specific to DeepStream.\u003c/span\u003e\u003c/p\u003e\n\u003cp\u003e\u003cspan style=\"font-family:Roboto;color:#050505\"\u003e聽\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\n\u003cspan style=\"font-family:Roboto\"\u003e聽\u003c/span\u003e\n\n\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003e聽\u003c/span\u003e\n\n## **\u003cspan style=\"font-family:Roboto;color:#76B900\"\u003e聽\u003c/span\u003e**\n\n## **\u003cspan style=\"font-family:Roboto;color:#76B900\"\u003eLicense\u003c/span\u003e**\n\n\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003eThe following licenses apply to the DeepStream SDK\nassets:\u003c/span\u003e\n\n\u003ctable\u003e\n\u003ccolgroup\u003e\n\u003ccol style=\"width: 20%\" /\u003e\n\u003ccol style=\"width: 30%\" /\u003e\n\u003ccol style=\"width: 50%\" /\u003e\n\u003c/colgroup\u003e\n\u003cthead\u003e\n\u003ctr style=\"height:24.4pt\"\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eAsset\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eApplicable\nEULA\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003cth\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 24.4pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eNotes\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height:48.1pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eSDK\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"https://developer.nvidia.com/deepstream-eula\"\u003e\u003cspan\nstyle=\"color:#76B900;\n text-decoration:none\"\u003eDeepStream SDK EULA\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eA copy of the license is\navailable on the following folder of the SDK:\u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003cbr /\u003e\n\u003c/span\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003e\u003ccode\u003e/opt/nvidia/deepstream/deepstream-7.1/LicenseAgreement.pdf\u003c/code\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:48.1pt\"\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eContainers\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"https://developer.nvidia.com/deepstream-eula-ngc\"\u003e\u003cspan\nstyle=\"color:#76B900;text-decoration:none\"\u003eDeepStream NGC\nLicense\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: white; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eLicense grants redistribution\nrights allowing developers to build applications on top of the\nDeepStream containers\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:48.1pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eDevelopment\nContainers\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"https://developer.nvidia.com/deepstream-eula-ngc-devel\"\u003e\u003cspan\nstyle=\"color:#76B900;text-decoration:none\"\u003eDeepStream NGC Development\nLicense\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eA development-only license.\nDoes not allow redistribution of the container\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr style=\"height:48.1pt\"\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cstrong\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eTAO\nModels\u003c/span\u003e\u003c/strong\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:black\"\u003e\u003ca\nhref=\"https://www.nvidia.com/en-us/data-center/products/nvidia-ai-enterprise/eula/\"\u003e\u003cspan\nstyle=\"color:#76B900;text-decoration:none\"\u003eNVIDIA AI Product\nLicense\u003c/span\u003e\u003c/a\u003e\u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003ctd\nstyle=\"background: #FAFAFA; padding: 7.5pt 15.0pt 7.5pt 15.0pt; height: 48.1pt\"\u003e\u003cp\u003e\u003cspan\nstyle=\"font-family:Roboto;color:#050505\"\u003eAll TAO pre-trained models\nincluded in the DeepStream SDK are covered by the NVIDIA AI Product\nLicense. \u003c/span\u003e\u003c/p\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\n\n**\u003cspan style=\"font-family:\nRoboto;color:#050505\"\u003eNOTE: By pulling, downloading, or using the\nDeepStream SDK, you accept the terms and conditions of the EULA licenses\nlisted above.\u003c/span\u003e**\n\n\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003ePlease note that all container images come with the\nfollowing packages installed:\u003c/span\u003e\n\n- \u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003elibrdkafka\u003c/span\u003e](https://github.com/edenhill/librdkafka/blob/7101c2310341ab3f4675fc565f64f0967e135a6a/LICENSE)\u003c/span\u003e\n- \u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003ehiredis\u003c/span\u003e](https://github.com/redis/hiredis/blob/d5b4c69b7113213c1da3a0ccbfd1ee1b40443c7a/COPYING)\u003c/span\u003e\n- \u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003ecmake\u003c/span\u003e](https://gitlab.kitware.com/cmake/cmake/-/blob/v3.16.3/Copyright.txt)\u003c/span\u003e\n- \u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;\n text-decoration:none\"\u003eautoconf\u003c/span\u003e](https://www.gnu.org/software/autoconf/)\u003c/span\u003e\u003cspan style=\"font-family:\n Roboto\"\u003e聽(聽\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;\n text-decoration:none\"\u003elicense\u003c/span\u003e](https://www.gnu.org/licenses/gpl-3.0.txt)\u003c/span\u003e\u003cspan style=\"font-family:\n Roboto\"\u003e聽and聽\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003elicense\n exception\u003c/span\u003e](https://www.gnu.org/licenses/autoconf-exception-3.0.en.html)\u003c/span\u003e\u003cspan style=\"font-family:Roboto\"\u003e聽)\u003c/span\u003e\n- \u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003elibtool\u003c/span\u003e](https://git.savannah.gnu.org/cgit/libtool.git/tree/AUTHORS)\u003c/span\u003e\n- \u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003elibglvnd-dev\u003c/span\u003e](http://changelogs.ubuntu.com/changelogs/pool/main/libg/libglvnd/libglvnd_1.3.2-1~ubuntu0.20.04.2/copyright)\u003c/span\u003e\n- \u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan lang=\"ES-MX\"\n style=\"color:#76B900;text-decoration:none\"\u003elibgl1-mesa-dev,libegl1-mesa-dev,libgles2-mesa-dev\u003c/span\u003e](http://changelogs.ubuntu.com/changelogs/pool/main/m/mesa/mesa_21.2.6-0ubuntu0.1~20.04.2/copyright)\u003c/span\u003e\n\n\u003cspan style=\"font-family:Roboto;\ncolor:#050505\"\u003eIn addition,\nthe聽**\u003cspan style=\"font-family:Roboto\"\u003e(deepstream:7.1-gc-triton-devel)\u003c/span\u003e**聽container\nincludes\nthe聽\u003c/span\u003e\u003cspan style=\"font-family:Roboto;color:black\"\u003e[\u003cspan style=\"color:#76B900;text-decoration:none\"\u003eVulkan\nValidation 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enable\ndevelopers to build a wide array of AI applications. 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