Name: Jetson Nano 2GB Development Kit
Brand: NVIDIA

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<p>Smart Utilities are key players in the dynamic of energy transition. By modernising their facilities, they can optimise resource consumption and infrastructure use. The resources and exemplary approach adopted in this sector in particular, together with the IoT, will play a differentiating role in a highly competitive market.</p>

Smart Utilities are key players in the dynamic of energy transition. By modernising their facilities, they can optimise resource consumption and infrastructure use. The resources and exemplary approach adopted in this sector in particular, together with the IoT, will play a key differentiating role in a highly competitive market.

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<h5 id="tw-target-text" class="tw-data-text tw-text-large XcVN5d tw-ta" dir="ltr" data-placeholder="Traduction"><span class="Y2IQFc" lang="en" style="font-size: 12pt; color: #ecf0f1;">Food sovereignty, the need for traceability and environmental challenges are at the heart of the challenges of Smart Agriculture. Precision agriculture and robotics can promote a more sustainable and fairer use of resources: inputs, water, energy ... at the service of European agriculture.</span></h5>
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Food sovereignty, the need for traceability and environmental challenges are at the heart of the challenges of Smart Agriculture. Precision agriculture and robotics can promote a more sustainable and fairer use of resources: inputs, water, energy ... at the service of European agriculture.

<h5><span style="font-size: 12pt; color: #ecf0f1;">Buildings and their construction together account for 36 percent of global energy use and 39 percent of energy-related carbon dioxide emissions annually, according to the Uninated Nations Environment Program.&nbsp;</span><br /><br /><span class="Y2IQFc" lang="en" style="font-size: 12pt; color: #ecf0f1;">Energy consumption is therefore one of the major challenges of Smart Building. Also, optimizing the resources used involves opening up building management systems, while placing user comfort at the center of service design.</span><br /><br /><span style="font-size: 12pt; color: #ecf0f1;">&nbsp;</span></h5>

Buildings and their construction together account for 36 percent of global energy use and 39 percent of energy-related carbon dioxide emissions annually, according to the United Nations Environment Program.   Energy consumption is therefore one of the major challenges of Smart Building. Also, optimizing the resources used involves opening up building management systems, while placing user comfort at the center of service design.   

<h5 id="tw-target-text" class="tw-data-text tw-text-large XcVN5d tw-ta" dir="ltr" data-placeholder="Traduction"><span class="Y2IQFc" lang="en" style="color: #ecf0f1;"><span style="font-size: 12pt;">Smart Cities call on powerful tools to improve the lives of fellow citizens, optimize the consumption of resources and enhance the attractiveness of their territory. These challenges are largely served by regulatory changes such as the law for energy transition or the decree in order to improve the energy performance of buildings</span>.</span></h5>

Smart Cities call on powerful tools to improve the lives of fellow citizens, optimize the consumption of resources and enhance the attractiveness of their territory. These challenges are largely served by regulatory changes such as the law for energy transition or the decree in order to improve the energy performance of buildings.

<p>Technology has always played a part in industrial development. Now, innovations in cloud computing, data analytics, blockchain, artificial intelligence and the Internet of Things (IoT) are driving the latest generation of manufacturing. Also known as Industry 4.0, smart industry draws on real-time data insights combined with integrated IT and operational technology (OT) systems to drive efficiency, resilience, and flexibility in manufacturing.</p><p>Data lies at the heart of smart industry, making the industrial IoT's role pivotal. Manufacturers gain real-time insight into their operations by collecting and analyzing data from sensors across manufacturing and industrial sites. These sensors can collect data such as vibration or temperature, capture and analyze images, or detect the location of moving items. And by integrating IT systems, such as enterprise resource planning (ERP) with OT systems, manufacturers can act on this data in real-time.</p><p>Benefits include identifying when equipment needs maintenance, undertaking AI-based quality control on production lines, and retooling machines in real-time to personalize products based on changing customer requirements. These benefits can extend beyond a single factory and company. By integrating data with the wider supply chain, companies can predict demand, switch suppliers during disruption and ensure product traceability from raw materials to the finished product.</p><p>The network plays a crucial role in collecting and processing data, both inside and outside of the smart factory. Factories and industrial facilities are often challenging environments for networks. They can be in remote locations, and the significant presence of metal structures can make optimizing wireless networks difficult. Factories will typically use multiple networks for different requirements, including 5G, Wi-Fi, Ethernet, IP VPNs, LTE, LoRAWAN, satellite, and industrial networks like Modbus, Serial, DeviceNet, Profibus, Fieldbus.</p><p>Security is a prime consideration for smart industry, with cybercriminals targeting smart facilities for extortion, espionage, and disruption. These attacks can come from either IT or OT systems because of the increased integration. Securing this converged environment requires segmentation of systems and collaboration between IT and OT teams.</p><h5>Orange offers a wide range of devices and equipment suitable for smart industry deployment. Check out our <a href="https://iotjourney.orange.com/en/catalogue" rel="noopener noreferrer" target="_blank">catalogue</a> for more information. Want to know more about smart industry? Read our <a href="https://iotjourney.orange.com/en/support/faq" rel="noopener noreferrer" target="_blank">FAQ</a>.</h5>

Industry 4.0 provides solutions around major challenges: boosting industry offers and services, optimizing production, securing industrial systems, streamlining logistics, facilitating the work of agents. Thus, more than ever, the IoT can be a link between machines and software solutions to improve team work and performance.

NVIDIA

<p>The <strong>Jetson Nano 2GB Developer Kit</strong> by NVIDIA is a compact, affordable platform designed to bring GPU-accelerated AI and robotics capabilities to makers, educators, and students. Priced at approximately $59, it offers a powerful entry point into the world of embedded AI computing.</p>
<h3>Key Features</h3>
<ul>
<li><strong>GPU</strong>: 128-core NVIDIA Maxwell architecture GPU</li>
<li><strong>CPU</strong>: Quad-core ARM Cortex-A57 processor running at 1.43 GHz</li>
<li><strong>Memory</strong>: 2 GB 64-bit LPDDR4 RAM with 25.6 GB/s bandwidth</li>
<li><strong>Storage</strong>: microSD card slot (card not included; 32 GB UHS-1 minimum recommended)</li>
<li><strong>Networking</strong>: Gigabit Ethernet port</li>
<li><strong>USB Ports</strong>:</li>
<ul>
<li>1 × USB 3.0 Type-A</li>
<li>2 × USB 2.0 Type-A</li>
<li>1 × USB 2.0 Micro-B (Device Mode)</li>
</ul>
<li><strong>Display Output</strong>: HDMI 2.0 port</li>
<li><strong>Camera Interface</strong>: 1 × MIPI CSI-2 camera connector</li>
<li><strong>Power Input</strong>: 5V via USB-C (3A recommended)</li>
<li><strong>Expansion</strong>: 40-pin GPIO header supporting I2C, I2S, SPI, UART, and PWM</li>
<li><strong>Dimensions</strong>: 100 mm × 80 mm × 29 mm</li>
</ul>
<h3>Included in the Box</h3>
<ul>
<li>Jetson Nano 2GB module with heatsink</li>
<li>Reference carrier board</li>
<li>Quick Start Guide and Support Guide</li>
<li>802.11ac wireless adapter and extension cable (available in select regions) <a href="https://developer.nvidia.com/embedded/learn/get-started-jetson-nano-2gb-devkit?utm_source=chatgpt.com" target="_blank">NVIDIA Developer</a></li>
</ul>
<h3>Software Support</h3>
<p>The Jetson Nano 2GB Developer Kit is supported by the comprehensive NVIDIA® JetPack™ SDK, which includes:</p>
<ul>
<li>Desktop Linux with NVIDIA drivers</li>
<li>AI and Computer Vision libraries and APIs</li>
<li>Support for cloud-native technologies such as containerization and orchestration</li>
<li>Developer tools, documentation, and sample code <a href="https://developer.nvidia.com/embedded/learn/jetson-nano-2gb-devkit-user-guide?utm_source=chatgpt.com" target="_blank">NVIDIA Developer</a></li>
</ul>
<h3>Applications</h3>
<p>Ideal for a wide range of applications, including:</p>
<ul>
<li>AI and machine learning projects</li>
<li>Robotics and automation</li>
<li>Computer vision tasks</li>
<li>IoT devices and edge computing</li>
<li>Educational tools for teaching AI and programming</li>
</ul>
<h3>Advantages</h3>
<ul>
<li><strong>Affordability</strong>: Provides powerful AI capabilities at a low cost</li>
<li><strong>Compact Design</strong>: Small form factor suitable for embedded applications</li>
<li><strong>Community Support</strong>: Large and active community with numerous tutorials and open-source projects</li>
<li><strong>Comprehensive Software Stack</strong>: Access to NVIDIA's professional-grade AI tools and libraries&nbsp;</li>
</ul>


jetson-nano-devkit-datasheet-936542-US-hr - jetson-nano-2gb-development-kit-1621929630

Jetson_Nano_Developer_Kit_User_Guide - jetson-nano-2gb-development-kit-1621929630

<p>Le <strong>Jetson Nano 2GB Developer Kit</strong> de NVIDIA est une plateforme compacte et abordable, conçue pour apporter des capacités d’<strong>intelligence artificielle</strong> et de <strong>robotique</strong> aux makers, éducateurs et étudiants. Avec un prix d’environ <strong>59 $</strong>, il constitue une entrée puissante dans le monde de l’<strong>informatique embarquée pour l’IA</strong>.</p>
<h3>Caractéristiques principales</h3>
<ul>
<li><strong>GPU</strong> : 128 cœurs NVIDIA Maxwell</li>
<li><strong>CPU</strong> : Processeur ARM Cortex-A57 quad-core fonctionnant à 1,43 GHz</li>
<li><strong>Mémoire</strong> : 2 Go LPDDR4 64 bits, bande passante de 25,6 Go/s</li>
<li><strong>Stockage</strong> : slot microSD (carte non incluse ; 32 Go UHS-1 minimum recommandé)</li>
<li><strong>Réseau</strong> : port Ethernet Gigabit</li>
<li><strong>Ports USB</strong> :</li>
<ul>
<li>1 × USB 3.0 Type-A</li>
<li>2 × USB 2.0 Type-A</li>
<li>1 × USB 2.0 Micro-B (mode périphérique)</li>
</ul>
<li><strong>Sortie vidéo</strong> : port HDMI 2.0</li>
<li><strong>Caméra</strong> : connecteur MIPI CSI-2</li>
<li><strong>Alimentation</strong> : 5V via USB-C (3A recommandé)</li>
<li><strong>Expansion</strong> : connecteur GPIO 40 broches compatible I2C, I2S, SPI, UART et PWM</li>
<li><strong>Dimensions</strong> : 100 mm × 80 mm × 29 mm</li>
</ul>
<h3>Contenu du kit</h3>
<ul>
<li>Module Jetson Nano 2GB avec dissipateur thermique</li>
<li>Carte de référence</li>
<li>Guide de démarrage rapide et guide de support</li>
<li>Adaptateur sans fil 802.11ac et câble d’extension (selon régions)</li>
</ul>
<h3>Support logiciel</h3>
<p>Le Jetson Nano 2GB Developer Kit est compatible avec le SDK <strong>NVIDIA® JetPack™</strong>, qui inclut :</p>
<ul>
<li>Linux Desktop avec pilotes NVIDIA</li>
<li>Bibliothèques et API pour IA et vision par ordinateur</li>
<li>Support des technologies cloud natives (conteneurs et orchestration)</li>
<li>Outils de développement, documentation et exemples de code</li>
</ul>
<h3>Applications typiques</h3>
<ul>
<li>Projets d’IA et apprentissage automatique</li>
<li>Robotique et automatisation</li>
<li>Vision par ordinateur</li>
<li>IoT et edge computing</li>
<li>Outils éducatifs pour l’enseignement de l’IA et de la programmation</li>
</ul>
<h3>Avantages clés</h3>
<ul>
<li><strong>Abordable</strong> : capacités d’IA avancées à faible coût</li>
<li><strong>Compact</strong> : design adapté aux applications embarquées</li>
<li><strong>Communauté active</strong> : nombreux tutoriels et projets open-source</li>
<li><strong>Stack logiciel complet</strong> : accès aux outils et bibliothèques professionnelles NVIDIA&nbsp;</li>
</ul>
<p></p>


Jetson Nano 2GB Development Kit

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