{"id":1491,"date":"2026-04-05T12:59:12","date_gmt":"2026-04-05T12:59:12","guid":{"rendered":"https:\/\/pckumar.in\/datacenters\/product\/nvidia-jetson-xavier-nx\/"},"modified":"2026-07-29T14:08:32","modified_gmt":"2026-07-29T14:08:32","slug":"nvidia-jetson-xavier-nx-module-8gb-16gb-india","status":"publish","type":"product","link":"https:\/\/pckumar.in\/datacenters\/product\/nvidia-jetson-xavier-nx-module-8gb-16gb-india\/","title":{"rendered":"NVIDIA Jetson Xavier NX Module (8GB \/ 16GB) India"},"content":{"rendered":"

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Product Details<\/h3>\n

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The NVIDIA Jetson Xavier NX is a compact yet powerful edge AI computing module designed for robotics, intelligent automation, computer vision, and embedded AI applications. Delivering up to 21 TOPS of AI performance, it enables fast and efficient AI inference, deep learning, and real-time analytics at the edge.<\/p>\n

The module features a 384-core NVIDIA Volta GPU with 48 Tensor Cores for accelerated AI and graphics processing, paired with a 6-core NVIDIA Carmel ARM CPU for handling system and application workloads. It includes 8GB of 128-bit LPDDR4x memory with 59.7 GB\/s bandwidth, ensuring smooth performance for AI models and data-intensive tasks. With 16GB of onboard eMMC storage and hardware-accelerated 4K and Full HD video encoding\/decoding, the Jetson Xavier NX is ideal for smart cameras, robotics, autonomous systems, and edge computing deployments.<\/p>\n

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Close<\/div>\n<\/div>\n","protected":false},"featured_media":117,"comment_status":"open","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n\r\n
Specifications<\/th>\r\n<\/tr>\r\n
Model<\/td>\r\nNVIDIA Jetson Xavier NX<\/td>\r\n<\/tr>\r\n
Type<\/td>\r\nCompact edge AI computer module<\/td>\r\n<\/tr>\r\n
Purpose<\/td>\r\nRuns AI, deep learning, and computer vision tasks on devices<\/td>\r\n<\/tr>\r\n
AI Performance<\/td>\r\nUp to 21 TOPS<\/td>\r\n<\/tr>\r\n
GPU<\/td>\r\n384-core NVIDIA Volta GPU with 48 Tensor Cores<\/td>\r\n<\/tr>\r\n
CPU<\/td>\r\n6-core NVIDIA Carmel ARM CPU<\/td>\r\n<\/tr>\r\n
Memory<\/td>\r\n8 GB LPDDR4x<\/td>\r\n<\/tr>\r\n
Memory Bandwidth<\/td>\r\n~59.7 GB\/s<\/td>\r\n<\/tr>\r\n
Storage<\/td>\r\n16 GB eMMC<\/td>\r\n<\/tr>\r\n
Video Encode\/Decode<\/td>\r\nSupports 4K and Full HD video streams<\/td>\r\n<\/tr>\r\n
Camera Support<\/td>\r\nUp to 6 cameras<\/td>\r\n<\/tr>\r\n
Connectivity<\/td>\r\nGigabit Ethernet and standard interfaces<\/td>\r\n<\/tr>\r\n
Power Consumption<\/td>\r\n~10 W (low power mode)<\/td>\r\n<\/tr>\r\n
Form Factor<\/td>\r\n70 \u00d7 45 mm module<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
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Close<\/div>\r\n<\/div>","_et_gb_content_width":""},"product_brand":[50],"product_cat":[37],"product_tag":[],"class_list":["post-1491","product","type-product","status-publish","has-post-thumbnail","product_brand-nvidia","product_cat-nvidia","first","instock","sale","sold-individually","shipping-taxable","purchasable","product-type-simple"],"_links":{"self":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product\/1491","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/comments?post=1491"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media\/117"}],"wp:attachment":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media?parent=1491"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product_brand?post=1491"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product_cat?post=1491"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/product_tag?post=1491"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}