{"id":26285,"date":"2025-05-22T12:31:08","date_gmt":"2025-05-22T10:31:08","guid":{"rendered":"https:\/\/monraspberry.com\/?post_type=product&#038;p=26285"},"modified":"2025-12-08T16:11:01","modified_gmt":"2025-12-08T15:11:01","slug":"starter-kit-nvidia-jetson-nano-2gb","status":"publish","type":"product","link":"https:\/\/monraspberry.com\/en\/produit\/starter-kit-nvidia-jetson-nano-2gb\/","title":{"rendered":"Starter Kit NVIDIA Jetson Nano 2GB"},"content":{"rendered":"<p><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Le <strong data-start=\"3\" data-end=\"41\">Starter Kit NVIDIA Jetson Nano 2GB<\/strong> est une plateforme d&#8217;apprentissage et de prototypage con\u00e7ue pour les \u00e9tudiants, les enseignants, les makers et les passionn\u00e9s de technologies souhaitant explorer l&#8217;intelligence artificielle embarqu\u00e9e.<\/span> <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Ce kit complet offre tout le n\u00e9cessaire pour d\u00e9marrer rapidement des projets d&#8217;IA, de vision par ordinateur, de robotique ou d&#8217;objets connect\u00e9s.<\/span><\/p>\n<h2 data-start=\"456\" data-end=\"504\">Caract\u00e9ristiques techniques principales :<\/h2>\n<ul>\n<li data-start=\"508\" data-end=\"564\"><strong data-start=\"508\" data-end=\"522\">Processeur<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Quad-core ARM Cortex-A57 @ 1,43 GHz<\/span><\/li>\n<li data-start=\"567\" data-end=\"616\"><strong data-start=\"567\" data-end=\"574\">GPU<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">128 c\u0153urs NVIDIA Maxwell<\/span><\/li>\n<li data-start=\"619\" data-end=\"672\"><strong data-start=\"619\" data-end=\"630\">M\u00e9moire<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">2 Go LPDDR4 (bande passante de 25,6 Go\/s)<\/span><\/li>\n<li data-start=\"675\" data-end=\"729\"><strong data-start=\"675\" data-end=\"687\">Stockage<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Carte microSD (non incluse)<\/span><\/li>\n<li data-start=\"732\" data-end=\"750\"><strong data-start=\"732\" data-end=\"748\">Connectivit\u00e9<\/strong> :\n<ul>\n<li data-start=\"755\" data-end=\"794\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">1 port Gigabit Ethernet<\/span><\/li>\n<li data-start=\"799\" data-end=\"838\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">1 port USB 3.0 Type-A<\/span><\/li>\n<li data-start=\"843\" data-end=\"882\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">2 ports USB 2.0 Type-A<\/span><\/li>\n<li data-start=\"887\" data-end=\"926\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">1 port USB 2.0 Micro-B<\/span><\/li>\n<li data-start=\"931\" data-end=\"970\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Wi-Fi via adaptateur USB 802.11ac inclus<\/span><\/li>\n<\/ul>\n<\/li>\n<li data-start=\"973\" data-end=\"988\"><strong data-start=\"973\" data-end=\"986\">Affichage<\/strong> :\n<ul>\n<li data-start=\"993\" data-end=\"1032\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">1 port HDMI<\/span><\/li>\n<\/ul>\n<\/li>\n<li data-start=\"1035\" data-end=\"1087\"><strong data-start=\"1035\" data-end=\"1045\">Cam\u00e9ra<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">1 connecteur MIPI CSI-2 pour cam\u00e9ra<\/span><\/li>\n<li data-start=\"1090\" data-end=\"1106\"><strong data-start=\"1090\" data-end=\"1104\">Extensions<\/strong> :\n<ul>\n<li data-start=\"1111\" data-end=\"1150\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Connecteur GPIO 40 broches compatible Raspberry Pi<\/span><\/li>\n<li data-start=\"1155\" data-end=\"1194\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Interfaces I2C, I2S, SPI, UART<\/span><\/li>\n<\/ul>\n<\/li>\n<li data-start=\"1197\" data-end=\"1255\"><strong data-start=\"1197\" data-end=\"1213\">Alimentation<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">5V\/3A via port USB-C (adaptateur secteur inclus)<\/span><\/li>\n<li data-start=\"1258\" data-end=\"1314\"><strong data-start=\"1258\" data-end=\"1272\">Dimensions<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">100 mm x 80 mm<\/span><\/li>\n<li data-start=\"1317\" data-end=\"1437\"><strong data-start=\"1317\" data-end=\"1356\">Syst\u00e8mes d&#8217;exploitation compatibles<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Linux Ubuntu avec NVIDIA JetPack SDK<\/span><\/li>\n<\/ul>\n<h2 data-start=\"1439\" data-end=\"1462\">Contenu du kit :<\/h2>\n<ul>\n<li data-start=\"1466\" data-end=\"1505\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Carte NVIDIA Jetson Nano 2GB<\/span><\/li>\n<li data-start=\"1508\" data-end=\"1547\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Cam\u00e9ra v2<\/span><\/li>\n<li data-start=\"1550\" data-end=\"1589\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Carte microSD<\/span><\/li>\n<li data-start=\"1592\" data-end=\"1631\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Bo\u00eetier en acier<\/span><\/li>\n<li data-start=\"1634\" data-end=\"1673\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Alimentation d\u00e9di\u00e9e avec 4 adaptateurs<\/span><\/li>\n<li data-start=\"1676\" data-end=\"1715\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">C\u00e2ble HDMI<\/span><\/li>\n<li data-start=\"1718\" data-end=\"1796\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Support de montage<\/span><\/li>\n<\/ul>\n<h2 data-start=\"1798\" data-end=\"1833\">Avantages et applications :<\/h2>\n<ul>\n<li data-start=\"1837\" data-end=\"1913\"><strong data-start=\"1837\" data-end=\"1871\">Apprentissage pratique de l&#8217;IA<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Id\u00e9al pour enseigner et apprendre l&#8217;intelligence artificielle \u00e0 travers des projets concrets.<\/span><\/li>\n<li data-start=\"1916\" data-end=\"1980\"><strong data-start=\"1916\" data-end=\"1938\">Prototypage rapide<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Permet de d\u00e9velopper rapidement des prototypes d&#8217;applications IA embarqu\u00e9es.<\/span><\/li>\n<li data-start=\"1983\" data-end=\"2046\"><strong data-start=\"1983\" data-end=\"2004\">Communaut\u00e9 active<\/strong> : <span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">B\u00e9n\u00e9ficie du support de la communaut\u00e9 NVIDIA Jetson avec de nombreuses ressources et projets open-source.<\/span><\/li>\n<li data-start=\"2049\" data-end=\"2076\"><strong data-start=\"2049\" data-end=\"2074\">Applications typiques<\/strong> :\n<ul>\n<li data-start=\"2081\" data-end=\"2120\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Robotique \u00e9ducative<\/span><\/li>\n<li data-start=\"2125\" data-end=\"2164\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Syst\u00e8mes de vision par ordinateur<\/span><\/li>\n<li data-start=\"2169\" data-end=\"2208\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Objets connect\u00e9s intelligents<\/span><\/li>\n<li data-start=\"2213\" data-end=\"2295\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Assistants vocaux<\/span><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>Le <strong data-start=\"3\" data-end=\"41\">Starter Kit NVIDIA Jetson Nano 2GB<\/strong> est la solution id\u00e9ale pour ceux qui souhaitent s&#8217;initier \u00e0 l&#8217;intelligence artificielle embarqu\u00e9e, offrant un \u00e9quilibre parfait entre performance, co\u00fbt et facilit\u00e9 d&#8217;utilisation.<\/p>\n","protected":false},"excerpt":{"rendered":"<ul>\n<li data-start=\"2428\" data-end=\"2469\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Processeur Quad-core ARM Cortex-A57 avec GPU NVIDIA Maxwell<\/span><\/li>\n<li data-start=\"2472\" data-end=\"2513\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">2 Go de RAM LPDDR4, connectivit\u00e9 compl\u00e8te, Wi-Fi inclus<\/span><\/li>\n<li data-start=\"2516\" data-end=\"2598\"><span class=\"relative -mx-px my-[-0.2rem] rounded px-px py-[0.2rem] transition-colors duration-100 ease-in-out\">Kit complet avec cam\u00e9ra, bo\u00eetier, alimentation et accessoires<\/span><\/li>\n<\/ul>\n","protected":false},"featured_media":26286,"template":"","meta":[],"product_brand":[402],"product_cat":[357],"product_tag":[],"class_list":["post-26285","product","type-product","status-publish","has-post-thumbnail","product_brand-nvidia","product_cat-nvidia","first","onbackorder","taxable","shipping-taxable","purchasable","product-type-simple","add-to-wishlist-after_add_to_cart"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product\/26285","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/types\/product"}],"version-history":[{"count":0,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product\/26285\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/media\/26286"}],"wp:attachment":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/media?parent=26285"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_brand?post=26285"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_cat?post=26285"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_tag?post=26285"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}