https://community.element14.com/products/devtools/product-pages/w/documents/28044/nvidia-jetson-nano-4gb-16gb-emmc-moduleProduct Detail Documentsen-USTelligent Community 12https://community.element14.com/products/devtools/product-pages/w/documents/28044/nvidia-jetson-nano-4gb-16gb-emmc-moduleFri, 05 May 2023 16:10:11 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:a3f0f44e-d3c0-482a-a5f4-8cef98a8f7d2e14-publisherhttps://community.element14.com/products/devtools/product-pages/w/documents/28044/nvidia-jetson-nano-4gb-16gb-emmc-module#commentsCurrent Revision posted to Documents by e14-publisher on 5/5/2023 4:10:11 PM<br /> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">NVIDIA<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> Jetson Nano 4GB/16GB eMMc module</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>NVIDIA</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img src="https://community-dc-assets.element14.com/images/devtool/size500/detailed_view_500x411_1677170964.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" alt="Detailed View" /> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">900-83668-0000-000</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-b2481" data-at-areainteracted="design-center" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=4126467&nsku=62AK4312&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('b2481'));" data-farnell="4126467" data-newark="62AK4312" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>NVIDIA&reg; Jetson Nano&trade; module. It delivers up to 472 GFLOPS of accelerated computing, can run many modern neural networks in parallel, and delivers the performance to process data from multiple high-resolution sensors-a requirement for full AI systems. It is also production ready and supports all popular AI frameworks. This makes Jetson Nano the ideal platform for developing mass market AI products such as AIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems. The system-on-module is powered by the NVIDIA Maxwell&trade; GPU with 4GB of memory, which allows real-time processing of high-resolution inputs. It offers a unique combination of performance, power advantage, and a rich set of IOs, from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. In addition, it supports multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5W.</p> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <ul> <li>128-core NVIDIA Maxwell GPU, Quad-core ARM&reg; A57 CPU, 4GB 64-bit LPDDR4, 16GB eMMC 5.1</li> <li>10/100/1000BASE-T Ethernet connectivity</li> <li>Voltage input of 5V</li> <li>HDMI 2.0, eDP 1.4, DP 1.2 (two simultaneously) display</li> <li>1x1/2/4 PCIe Gen2, 1x USB 3.0, 3x USB 2.0, I2C, I2S, SPI, UART, SD/SDIO, GPIO interface</li> <li>69.6mm x 45mm 260-pin SODIMM connector</li> <li>Supported by NVIDIA JetPack&trade;</li> <li>Operating temperature range from -25&deg;C to 80&deg;C</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Product Brief/Fact sheet</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-download"></i> <a href="https://www.farnell.com/datasheets/3795412.pdf" target="_blank">Product Brief </a> </div> </div> </div> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5200, "type": "devtool", "part_number": "900-83668-0000-000" };</script> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: nano, jetson nano, jetson, mcu, daughter_addon_boards, development_platforms_kits, nvidia, daughter board</div> https://community.element14.com/products/devtools/product-pages/w/documents/28044/nvidia-jetson-nano-4gb-16gb-emmc-module/revision/2Thu, 23 Feb 2023 16:52:35 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:a3f0f44e-d3c0-482a-a5f4-8cef98a8f7d2e14-publisherhttps://community.element14.com/products/devtools/product-pages/w/documents/28044/nvidia-jetson-nano-4gb-16gb-emmc-module#commentsRevision 2 posted to Documents by e14-publisher on 2/23/2023 4:52:35 PM<br /> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5200, "type": "devtool", "part_number": "900-83668-0000-000" };</script> </div> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">NVIDIA<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> Jetson Nano 4GB/16GB eMMc module</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>NVIDIA</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img src="https://community-dc-assets.element14.com/images/devtool/size500/detailed_view_500x411_1677170964.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" alt="Detailed View" /> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">900-83668-0000-000</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-4a690" data-at-areainteracted="design-center" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=4126467&nsku=62AK4312&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('4a690'));" data-farnell="4126467" data-newark="62AK4312" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>NVIDIA&reg; Jetson Nano&trade; module. It delivers up to 472 GFLOPS of accelerated computing, can run many modern neural networks in parallel, and delivers the performance to process data from multiple high-resolution sensors-a requirement for full AI systems. It is also production ready and supports all popular AI frameworks. This makes Jetson Nano the ideal platform for developing mass market AI products such as AIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems. The system-on-module is powered by the NVIDIA Maxwell&trade; GPU with 4GB of memory, which allows real-time processing of high-resolution inputs. It offers a unique combination of performance, power advantage, and a rich set of IOs, from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. In addition, it supports multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5W.</p> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <ul> <li>128-core NVIDIA Maxwell GPU, Quad-core ARM&reg; A57 CPU, 4GB 64-bit LPDDR4, 16GB eMMC 5.1</li> <li>10/100/1000BASE-T Ethernet connectivity</li> <li>Voltage input of 5V</li> <li>HDMI 2.0, eDP 1.4, DP 1.2 (two simultaneously) display</li> <li>1x1/2/4 PCIe Gen2, 1x USB 3.0, 3x USB 2.0, I2C, I2S, SPI, UART, SD/SDIO, GPIO interface</li> <li>69.6mm x 45mm 260-pin SODIMM connector</li> <li>Supported by NVIDIA JetPack&trade;</li> <li>Operating temperature range from -25&deg;C to 80&deg;C</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Product Brief/Fact sheet</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-download"></i> <a href="https://www.farnell.com/datasheets/3795412.pdf" target="_blank">Product Brief </a> </div> </div> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: nano, jetson nano, jetson, mcu, daughter_addon_boards, development_platforms_kits, nvidia, daughter board</div> https://community.element14.com/products/devtools/product-pages/w/documents/28044/nvidia-jetson-nano-4gb-16gb-emmc-module/revision/1Thu, 23 Feb 2023 16:51:03 GMT93d5dcb4-84c2-446f-b2cb-99731719e767:a3f0f44e-d3c0-482a-a5f4-8cef98a8f7d2e14-publisherhttps://community.element14.com/products/devtools/product-pages/w/documents/28044/nvidia-jetson-nano-4gb-16gb-emmc-module#commentsRevision 1 posted to Documents by e14-publisher on 2/23/2023 4:51:03 PM<br /> <div class="xs-hide"> <script>e14.meta.page.devtools={"id": 5200, "type": "devtool", "part_number": "900-83668-0000-000" };</script> </div> <div id="product-page-content"> <h1 class="xs-mt0 xs-mb2">NVIDIA<span class="emoticon" data-url="https://community.element14.com/cfs-file/__key/system/emoji/00ae.svg" title="Registered">&#x00ae;</span> Jetson Nano 4GB/16GB eMMc module</h1> <div class="xs-mb3"><span class="bold xs-mr1">Manufactured By:</span>NVIDIA</div> <div class="xs-flex md-flex-row xs-flex-column"> <div class="md-w40 xs-w100"> <div id="devtool-primary-image" class="devtool-primary-image-container fill-white"> <img src="https://community-dc-assets.element14.com/images/devtool/size500/detailed_view_500x411_1677170964.jpg" class="devtool-image-devtool-0 xs-w100 xs-full-height fill-white obj-fit-contain xs-block" alt="Detailed View" /> </div> </div> <div class="md-w60 md-pl4 md-pl4 md-pt0 xs-w100 xs-pl0 xs-pl0 xs-pt2"> <div class="xs-flex xs-flex-justify-space-between xs-flex-align-center xs-border-lighter fill-white xs-p2"> <div class="xs-mt1 xs-mb1"> <div class="xs-text-5"><span class="bold xs-mr1">Part Number:</span><span id="part-number-value">900-83668-0000-000</span></div> </div> <div class="xs-text-right xs-mr2"> <a id="e14-product-link-db4cd" data-at-areainteracted="design-center" data-at-type="click" data-at-link-type="button" href="https://referral.element14.com/OrderCodeView?fsku=4126467&nsku=62AK4312&COM=e14c-noscript&CMP=e14c-noscript&osetc=e14-noscript-tracking-loss" data-at-label="PRODUCT_POPUP_OPEN"class="e14-embedded e14_shopping-cart-far e14-button" onclick="event.preventDefault();e14.func.displayProduct(e14.meta.user.country, this, 'embedded-link', e14.func.getProductLinkJSON('db4cd'));" data-farnell="4126467" data-newark="62AK4312" data-comoverride="" data-cmpoverride="" data-cpc="" data-avnetemea="" data-avnetema="" data-avnetasia="" >Buy Now</a> </div> </div> </div> </div> <div class="xs-mt3"> <p>NVIDIA&reg; Jetson Nano&trade; module. It delivers up to 472 GFLOPS of accelerated computing, can run many modern neural networks in parallel, and delivers the performance to process data from multiple high-resolution sensors-a requirement for full AI systems. It is also production ready and supports all popular AI frameworks. This makes Jetson Nano the ideal platform for developing mass market AI products such as AIoT gateways, smart network video recorders and cameras, consumer robots, and optical inspection systems. The system-on-module is powered by the NVIDIA Maxwell&trade; GPU with 4GB of memory, which allows real-time processing of high-resolution inputs. It offers a unique combination of performance, power advantage, and a rich set of IOs, from high-speed CSI and PCIe to low-speed I2Cs and GPIOs. In addition, it supports multiple diverse sets of sensors to enable a variety of applications with incredible power efficiency, consuming as little as 5W.</p> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Features</h3> <ul> <li>128-core NVIDIA Maxwell GPU, Quad-core ARM&reg; A57 CPU, 4GB 64-bit LPDDR4, 16GB eMMC 5.1</li> <li>10/100/1000BASE-T Ethernet connectivity</li> <li>Voltage input of 5V</li> <li>HDMI 2.0, eDP 1.4, DP 1.2 (two simultaneously) display</li> <li>1x1/2/4 PCIe Gen2, 1x USB 3.0, 3x USB 2.0, I2C, I2S, SPI, UART, SD/SDIO, GPIO interface</li> <li>69.6mm x 45mm 260-pin SODIMM connector</li> <li>Supported by NVIDIA JetPack&trade;</li> <li>Operating temperature range from -25&deg;C to 80&deg;C</li> </ul> <div id="devtool-required-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Required Tools</h3> <div id="devtool-required-devtools-content"></div> </div> <div id="devtool-accessory-devtools-section" class="xs-hide"> <h3 class="toc-item xs-pb2 xs-mb1 xs-border-bottom">Accessory Tools</h3> <div id="devtool-accessory-devtools-content"></div> </div> <h3 class="toc-item xs-pb2 xs-border-bottom">Documents</h3> <div class="xs-px2"> <h4 class="xs-pb2 xs-border-bottom">Product Brief/Fact sheet</h4> <div class="attachment xs-mb3"> <i class="fal fa-file-download"></i> <a href="https://www.farnell.com/datasheets/3795412.pdf" target="_blank">Product Brief </a> </div> </div> </div> <div style="clear:both;"></div> <div style="font-size: 90%;">Tags: mcu, daughter_addon_boards, development_platforms_kits, nvidia</div>