{"id":9479,"date":"2026-10-05T11:03:24","date_gmt":"2026-10-05T11:03:24","guid":{"rendered":"https:\/\/openzeka.com\/en\/?post_type=product&#038;p=9479"},"modified":"2026-11-03T13:37:26","modified_gmt":"2026-11-03T13:37:26","slug":"j101-nvidia-jetson-nano-ready-to-use-ai-kit","status":"publish","type":"product","link":"https:\/\/openzeka.com\/en\/product\/j101-nvidia-jetson-nano-ready-to-use-ai-kit\/","title":{"rendered":"J101 NVIDIA Jetson Nano Ready-to-Use AI Kit"},"content":{"rendered":"<div class=\"fusion-fullwidth fullwidth-box fusion-builder-row-1 fusion-flex-container nonhundred-percent-fullwidth non-hundred-percent-height-scrolling\" style=\"--awb-border-radius-top-left:0px;--awb-border-radius-top-right:0px;--awb-border-radius-bottom-right:0px;--awb-border-radius-bottom-left:0px;--awb-flex-wrap:wrap;\" ><div class=\"fusion-builder-row fusion-row fusion-flex-align-items-flex-start fusion-flex-content-wrap\" style=\"max-width:1331.2px;margin-left: calc(-4% \/ 2 );margin-right: calc(-4% \/ 2 );\"><div class=\"fusion-layout-column fusion_builder_column fusion-builder-column-0 fusion_builder_column_1_1 1_1 fusion-flex-column\" style=\"--awb-bg-size:cover;--awb-width-large:100%;--awb-margin-top-large:0px;--awb-spacing-right-large:1.92%;--awb-margin-bottom-large:20px;--awb-spacing-left-large:1.92%;--awb-width-medium:100%;--awb-order-medium:0;--awb-spacing-right-medium:1.92%;--awb-spacing-left-medium:1.92%;--awb-width-small:100%;--awb-order-small:0;--awb-spacing-right-small:1.92%;--awb-spacing-left-small:1.92%;\"><div class=\"fusion-column-wrapper fusion-column-has-shadow fusion-flex-justify-content-flex-start fusion-content-layout-column\"><div class=\"fusion-text fusion-text-1\" style=\"--awb-text-transform:none;\"><p>reComputer J101 is a cost-effective, interface-rich carrier board compatible with NVIDIA Jetson Nano. It features HDMI 2.0, 2x USB 2.0, 1x USB 3.0, a microSD card slot, 2x CSI, M.2 Key E for Wi-Fi\/BT, GPIO, I2C, I2S, fan support, and other rich peripheral interfaces. It has nearly the same functional design and dimensions as the carrier board of the NVIDIA\u00ae Jetson Nano\u2122 B01 Developer Kit. It is designed to work with the NVIDIA Jetson Nano module for AI applications. With a Jetson Nano module installed, it supports NVIDIA JetPack, including BSP, Linux OS, NVIDIA CUDA\u00ae, cuDNN, and TensorRT\u2122 software libraries for deep learning, computer vision, GPU computing, and multimedia processing.<a href=\"https:\/\/openzeka.com\/wp-content\/uploads\/2022\/10\/J101v2.png\"><img decoding=\"async\" class=\"alignnone size-full wp-image-30091\" src=\"https:\/\/openzeka.com\/wp-content\/uploads\/2022\/10\/J101v2.png\" alt=\"\" width=\"1326\" height=\"1562\" \/><\/a><\/p>\n<\/div><\/div><\/div><\/div><\/div>\n","protected":false},"excerpt":{"rendered":"<ul>\n<li>Alternative to the Nano Dev Kit carrier board.<\/li>\n<li>Expandable storage: SD card slot for expanding the Nano module\u2019s 16GB eMMC storage.<\/li>\n<\/ul>\n","protected":false},"featured_media":9472,"template":"","meta":[],"pwb-brand":[2047],"product_brand":[],"product_cat":[2002],"product_tag":[2010,2020],"class_list":["post-9479","product","type-product","status-publish","has-post-thumbnail","pwb-brand-seeed","product_cat-ready-to-use-ai-kits","product_tag-jetson-nano-ai-kits","product_tag-seeed-studio-ai-kits","first","outofstock","shipping-taxable","product-type-simple"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.0 (Yoast SEO v28.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>J101 NVIDIA Jetson Nano Ready-to-Use AI Kit - OpenZeka | NVIDIA Embedded Distributor<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/openzeka.com\/en\/product\/j101-nvidia-jetson-nano-ready-to-use-ai-kit\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"J101 NVIDIA Jetson Nano Ready-to-Use AI Kit\" \/>\n<meta property=\"og:description\" content=\"Alternative to the Nano Dev Kit carrier board.  Expandable storage: SD card slot for expanding the Nano module\u2019s 16GB eMMC storage.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/openzeka.com\/en\/product\/j101-nvidia-jetson-nano-ready-to-use-ai-kit\/\" \/>\n<meta property=\"og:site_name\" content=\"OpenZeka | NVIDIA Embedded Distributor\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/openzeka\" \/>\n<meta property=\"article:modified_time\" content=\"2026-11-03T13:37:26+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/openzeka.com\/en\/wp-content\/uploads\/2026\/10\/j101-Nano-1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"800\" \/>\n\t<meta property=\"og:image:height\" content=\"800\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@openzeka\" \/>\n<meta name=\"twitter:label1\" content=\"Price\" \/>\n\t<meta name=\"twitter:data1\" content=\"\" \/>\n\t<meta name=\"twitter:label2\" content=\"Availability\" \/>\n\t<meta name=\"twitter:data2\" content=\"Out of stock\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/j101-nvidia-jetson-nano-ready-to-use-ai-kit\\\/\",\"url\":\"https:\\\/\\\/openzeka.com\\\/en\\\/product\\\/j101-nvidia-jetson-nano-ready-to-use-ai-kit\\\/\",\"name\":\"J101 NVIDIA Jetson Nano Ready-to-Use AI Kit - 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