{"id":28106,"date":"2025-07-30T11:42:30","date_gmt":"2025-07-30T09:42:30","guid":{"rendered":"https:\/\/monraspberry.com\/?post_type=product&#038;p=28106"},"modified":"2026-06-09T13:11:20","modified_gmt":"2026-06-09T11:11:20","slug":"kit-de-developpement-jetson-orin-nano-super-8gb","status":"publish","type":"product","link":"https:\/\/monraspberry.com\/en\/produit\/kit-de-developpement-jetson-orin-nano-super-8gb\/","title":{"rendered":"Jetson Orin Nano Super 8GB Development Kit"},"content":{"rendered":"<p data-start=\"145\" data-end=\"434\">Visit <strong data-start=\"148\" data-end=\"187\">Jetson Orin Nano Developer Kit 8\u202fGB<\/strong> est une plateforme compacte d\u00e9di\u00e9e \u00e0 l\u2019IA embarqu\u00e9e et \u00e0 l\u2019Edge Computing. Il combine un <strong data-start=\"277\" data-end=\"298\">GPU NVIDIA Ampere<\/strong> (1024 c\u0153urs CUDA, 32 c\u0153urs Tensor) et un CPU <strong data-start=\"344\" data-end=\"380\">ARM Cortex\u2011A78AE 6 c\u0153urs 64 bits<\/strong>, offrant une puissance de calcul jusqu\u2019\u00e0 <strong data-start=\"422\" data-end=\"433\">67\u202fTOPS<\/strong>.<\/p>\n<h3 data-start=\"436\" data-end=\"470\">Main features :<\/h3>\n<ul>\n<li data-start=\"473\" data-end=\"539\"><strong data-start=\"473\" data-end=\"480\">GPU<\/strong> : Architecture Ampere, 1024 c\u0153urs CUDA + 32 Tensor Cores<\/li>\n<li data-start=\"542\" data-end=\"587\"><strong data-start=\"542\" data-end=\"549\">CPU<\/strong> : 6 c\u0153urs ARM Cortex\u2011A78AE, 64 bits<\/li>\n<li data-start=\"590\" data-end=\"642\"><strong data-start=\"590\" data-end=\"601\">Memory<\/strong> : 8\u202fGB LPDDR5, bande passante 102\u202fGo\/s<\/li>\n<li data-start=\"645\" data-end=\"698\"><strong data-start=\"645\" data-end=\"663\">Performance IA<\/strong> : 67\u202fTOPS pour inf\u00e9rence avanc\u00e9e<\/li>\n<li data-start=\"701\" data-end=\"752\"><strong data-start=\"701\" data-end=\"713\">Storage<\/strong> : slot microSD, support NVMe via M.2<\/li>\n<li data-start=\"755\" data-end=\"775\"><strong data-start=\"755\" data-end=\"771\">Connectivity<\/strong> :\n<ul>\n<li data-start=\"780\" data-end=\"802\">1 \u00d7 Gigabit Ethernet<\/li>\n<li data-start=\"807\" data-end=\"820\">4 \u00d7 USB 3.2<\/li>\n<li data-start=\"825\" data-end=\"843\">DisplayPort 1.4a<\/li>\n<li data-start=\"848\" data-end=\"877\">2 \u00d7 MIPI CSI-2 pour cam\u00e9ras<\/li>\n<li data-start=\"882\" data-end=\"907\">1 \u00d7 header GPIO 40\u202fpins<\/li>\n<\/ul>\n<\/li>\n<li data-start=\"910\" data-end=\"975\"><strong data-start=\"910\" data-end=\"923\">Extension<\/strong> : 2 slots M.2 (NVMe SSD et carte Wi-Fi\/Bluetooth)<\/li>\n<\/ul>\n<h3 data-start=\"977\" data-end=\"1005\">Environnement logiciel :<\/h3>\n<ul>\n<li data-start=\"1008\" data-end=\"1072\">Compatible <strong data-start=\"1019\" data-end=\"1034\">JetPack SDK<\/strong> (CUDA, TensorRT, DeepStream, cuDNN)<\/li>\n<li data-start=\"1075\" data-end=\"1144\">Support des frameworks IA : PyTorch, TensorFlow, OpenCV, ROS2, etc.<\/li>\n<li data-start=\"1147\" data-end=\"1216\">Outils de d\u00e9veloppement NVIDIA (TAO Toolkit, DeepStream, Isaac ROS)<\/li>\n<\/ul>\n<h3 data-start=\"1218\" data-end=\"1257\">Consommation et gestion d\u2019\u00e9nergie :<\/h3>\n<ul>\n<li data-start=\"1260\" data-end=\"1303\">Profil configurable entre <strong data-start=\"1286\" data-end=\"1301\">7 W et 25 W<\/strong><\/li>\n<li data-start=\"1306\" data-end=\"1372\">Mode &#8220;Super&#8221; disponible pour maximiser la performance GPU et CPU<\/li>\n<\/ul>\n<h3 data-start=\"1374\" data-end=\"1401\">Typical applications :<\/h3>\n<ul>\n<li data-start=\"1404\" data-end=\"1472\">Vision par ordinateur (d\u00e9tection d\u2019objets, reconnaissance faciale)<\/li>\n<li data-start=\"1475\" data-end=\"1515\">Robotique autonome et IA en p\u00e9riph\u00e9rie<\/li>\n<li data-start=\"1518\" data-end=\"1574\">D\u00e9veloppement de mod\u00e8les IA pour dispositifs embarqu\u00e9s<\/li>\n<li data-start=\"1577\" data-end=\"1609\">Prototypage Edge AI industriel<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<ul>\n<li data-start=\"1644\" data-end=\"1689\">Ampere 1024-core CUDA GPU, 6-core ARM CPU<\/li>\n<li data-start=\"1692\" data-end=\"1740\">8 GB LPDDR5, 67 TOPS IA, microSD\/NVMe storage<\/li>\n<li data-start=\"1743\" data-end=\"1799\">Ports: USB 3.2, Ethernet, CSI, M.2, GPIO, DisplayPort<\/li>\n<\/ul>","protected":false},"featured_media":28131,"template":"","meta":[],"product_brand":[402],"product_cat":[357],"product_tag":[],"class_list":["post-28106","product","type-product","status-publish","has-post-thumbnail","product_brand-nvidia","product_cat-nvidia","first","instock","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\/28106","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\/28106\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/media\/28131"}],"wp:attachment":[{"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/media?parent=28106"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_brand?post=28106"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_cat?post=28106"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/monraspberry.com\/en\/wp-json\/wp\/v2\/product_tag?post=28106"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}