{"product_id":"nvidia-jetson-orin-nano-8gb-developer-kit","title":"NVIDIA Jetson Orin Nano 8GB Developer Kit","description":"\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e is a compact edge \u003ca href=\"\/collections\/ai-pi-compute-hats\" title=\"Shop AI \u0026amp; Pi Compute HATs at Chip.pk\"\u003eAI development\u003c\/a\u003e platform designed for robotics, computer vision, machine learning and embedded AI applications. It combines an NVIDIA Ampere GPU with \u003cstrong\u003e1024 CUDA cores and 32 Tensor Cores\u003c\/strong\u003e, a 6-core Arm Cortex-A78AE CPU and \u003cstrong\u003e8GB 128-bit LPDDR5 memory\u003c\/strong\u003e. The original configuration delivers up to \u003cstrong\u003e40 TOPS\u003c\/strong\u003e of AI performance, with newer Super performance modes available through supported software updates. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eDescription\u003c\/h3\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e is a compact AI computing platform for developing intelligent robots, machine-vision systems, edge AI applications and embedded machine-learning solutions.\u003c\/p\u003e\n\u003cp\u003eThe kit combines the \u003cstrong\u003eJetson Orin Nano 8GB module\u003c\/strong\u003e with NVIDIA's reference carrier board, providing developers with a ready platform for prototyping next-generation edge AI systems. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThe Jetson Orin Nano 8GB module features an \u003cstrong\u003eNVIDIA Ampere architecture GPU with 1024 CUDA cores and 32 third-generation Tensor Cores\u003c\/strong\u003e, alongside a \u003cstrong\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eIts original configuration delivers up to \u003cstrong\u003e40 sparse INT8 TOPS\u003c\/strong\u003e of AI performance and includes \u003cstrong\u003e8GB 128-bit LPDDR5 memory with 68 GB\/s memory bandwidth\u003c\/strong\u003e. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThis combination makes the platform suitable for processing AI workloads locally at the edge, reducing the need to send every task to a remote cloud server.\u003c\/p\u003e\n\u003ch3\u003eUp to 40 TOPS AI Performance — Original Configuration\u003c\/h3\u003e\n\u003cp\u003eFor this particular listing, we should state the original specification clearly:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eUp to 40 Sparse INT8 TOPS\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eUp to 20 Dense INT8 TOPS\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA's original Jetson Orin Nano 8GB specification documents these figures. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThis distinction matters because \u003cstrong\u003e67 TOPS belongs to the newer Super performance configuration\u003c\/strong\u003e, not the original default configuration.\u003c\/p\u003e\n\u003ch3\u003eSuper Performance Upgrade Support\u003c\/h3\u003e\n\u003cp\u003eAlthough this product is being sold as the \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e, there is an important benefit for customers.\u003c\/p\u003e\n\u003cp\u003eNVIDIA confirms that there are \u003cstrong\u003eno physical hardware or package differences\u003c\/strong\u003e between the original Jetson Orin Nano Developer Kit and the later Super Developer Kit. The increased performance is enabled through software optimization and a new power mode. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA states that existing original developer kits can gain the Super performance boost by upgrading to the latest supported JetPack\/software configuration. This can raise the Orin Nano 8GB configuration from \u003cstrong\u003e40 to 67 sparse INT8 TOPS\u003c\/strong\u003e, increase memory bandwidth and enable higher power\/performance modes. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThis is a valuable feature, but we should \u003cstrong\u003enot rename the physical stock “Super”\u003c\/strong\u003e if its actual packaging\/product identity is the original Developer Kit.\u003c\/p\u003e\n\u003ch3\u003eNVIDIA Ampere GPU\u003c\/h3\u003e\n\u003cp\u003eThe Jetson Orin Nano 8GB features:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNVIDIA Ampere Architecture\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e1024 CUDA Cores\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003e32 Tensor Cores\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThese resources accelerate parallel computing and suitable AI inference workloads. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e6-Core Arm CPU\u003c\/h3\u003e\n\u003cp\u003eCPU processing is provided by a:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ewith:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e1.5MB L2 cache + 4MB L3 cache\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe original configuration operates at up to \u003cstrong\u003e1.5GHz\u003c\/strong\u003e, while supported Super mode can raise the CPU clock to 1.7GHz. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003e8GB LPDDR5 Memory\u003c\/h3\u003e\n\u003cp\u003eThe original Jetson Orin Nano 8GB configuration includes:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e8GB 128-bit LPDDR5\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003ewith:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e68 GB\/s memory bandwidth\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA's newer Super configuration can increase effective memory bandwidth to \u003cstrong\u003e102 GB\/s\u003c\/strong\u003e, but for this product page we should clearly distinguish that software-enabled configuration from the original specification. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eStorage Support\u003c\/h3\u003e\n\u003cp\u003eThe developer kit provides flexible storage options including:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003emicroSD card\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eand:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eNVMe SSD support through M.2 Key M\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThe carrier board provides two Key-M interfaces: one with PCIe Gen3 x4 and another with PCIe Gen3 x2. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThis makes NVMe storage particularly useful for larger AI models, datasets and development environments.\u003c\/p\u003e\n\u003ch3\u003eCamera Support\u003c\/h3\u003e\n\u003cp\u003eFor computer-vision and robotics projects, the carrier board provides:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003e2 × MIPI CSI-2 22-pin camera connectors\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eThis makes the Jetson Orin Nano well suited to camera-based AI development such as object detection, tracking, robot vision and intelligent monitoring systems. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eConnectivity \u0026amp; Expansion\u003c\/h3\u003e\n\u003cp\u003eThe Developer Kit includes:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003e4 × USB 3.2 Gen 2 Type-A\u003c\/li\u003e\n\u003cli\u003eUSB Type-C for data\/recovery\/device functions\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet\u003c\/li\u003e\n\u003cli\u003eDisplayPort\u003c\/li\u003e\n\u003cli\u003e40-pin expansion header\u003c\/li\u003e\n\u003cli\u003e2 × MIPI CSI camera connectors\u003c\/li\u003e\n\u003cli\u003e2 × M.2 Key M interfaces\u003c\/li\u003e\n\u003cli\u003eM.2 Key E\u003c\/li\u003e\n\u003cli\u003emicroSD card slot\u003c\/li\u003e\n\u003cli\u003eDC power jack\u003c\/li\u003e\n\u003cli\u003eFan header\u003c\/li\u003e\n\u003cli\u003eButton header\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eThe 40-pin expansion header provides interfaces including \u003cstrong\u003eUART, SPI, I2S, I2C and GPIO\u003c\/strong\u003e. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eWi-Fi \u0026amp; Wireless Connectivity\u003c\/h3\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e includes a M.2 Key E wireless module for \u003cstrong\u003eWi-Fi and Bluetooth connectivity\u003c\/strong\u003e, allowing wireless network access and connection to compatible Bluetooth devices.\u003c\/p\u003e\n\u003cp\u003eWireless connectivity is useful for robotics, IoT, remote development, AI projects and network-based applications.\u003c\/p\u003e\n\u003ch3\u003eEdge AI \u0026amp; Machine Learning\u003c\/h3\u003e\n\u003cp\u003eThe Jetson Orin Nano was designed specifically for edge AI development.\u003c\/p\u003e\n\u003cp\u003ePotential applications include:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eMachine learning\u003c\/li\u003e\n\u003cli\u003eDeep learning inference\u003c\/li\u003e\n\u003cli\u003eComputer vision\u003c\/li\u003e\n\u003cli\u003eObject detection\u003c\/li\u003e\n\u003cli\u003eImage classification\u003c\/li\u003e\n\u003cli\u003eRobotics\u003c\/li\u003e\n\u003cli\u003eSmart cameras\u003c\/li\u003e\n\u003cli\u003eAutonomous machines\u003c\/li\u003e\n\u003cli\u003eIntelligent monitoring\u003c\/li\u003e\n\u003cli\u003eIndustrial AI\u003c\/li\u003e\n\u003cli\u003eEmbedded AI\u003c\/li\u003e\n\u003cli\u003eEdge computing\u003c\/li\u003e\n\u003cli\u003eResearch projects\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003eNVIDIA originally positioned the Developer Kit for entry-level AI-powered robots, smart drones and intelligent vision systems. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eGenerative AI\u003c\/h3\u003e\n\u003cp\u003eThe Jetson Orin Nano platform can also be used for suitable \u003cstrong\u003egenerative AI workloads\u003c\/strong\u003e, particularly with NVIDIA's newer JetPack and Super performance enhancements.\u003c\/p\u003e\n\u003cp\u003eNVIDIA's software update specifically improves performance for transformer-based models, including LLM, VLM and Vision Transformer workloads. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eActual model performance depends on factors such as model size, quantization, memory requirements, optimization and software configuration, so we should avoid claims such as “runs every LLM.”\u003c\/p\u003e\n\u003ch3\u003eRobotics \u0026amp; Computer Vision\u003c\/h3\u003e\n\u003cp\u003eThis platform is particularly attractive for:\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI-powered robots\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eRobot vision\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eObject detection\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eMachine vision\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eSmart cameras\u003c\/strong\u003e\u003cbr\u003e\u003cstrong\u003eAutonomous prototypes\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA's original launch specifically highlighted AI-powered robots, smart drones and intelligent vision systems as key applications. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003ch3\u003eJetson Orin Nano vs Original Jetson Nano\u003c\/h3\u003e\n\u003cp\u003eThe \u003cstrong\u003eJetson Orin Nano\u003c\/strong\u003e should not be confused with the older \u003cstrong\u003eNVIDIA Jetson Nano\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003eThe Orin Nano 8GB uses NVIDIA's newer Ampere architecture, 1024 CUDA cores, 32 Tensor Cores and a 6-core Arm Cortex-A78AE CPU. NVIDIA's original announcement described the Developer Kit as providing up to \u003cstrong\u003e40 TOPS\u003c\/strong\u003e and up to an \u003cstrong\u003e80× AI performance improvement\u003c\/strong\u003e over the prior Jetson Nano. \u003cspan class=\"contents\"\u003e\u003cspan class=\"\"\u003e\u003c\/span\u003e\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003eThis gives us a legitimate way to cover the high-volume \u003ccode\u003eJetson Nano\u003c\/code\u003e search cluster without incorrectly placing \u003ccode\u003eJetson Nano\u003c\/code\u003e in the product title.\u003c\/p\u003e\n\u003ch3\u003eKey Features\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/li\u003e\n\u003cli\u003eJetson Orin Nano 8GB module\u003c\/li\u003e\n\u003cli\u003eUp to 40 sparse INT8 TOPS in original configuration\u003c\/li\u003e\n\u003cli\u003eSuper performance upgrade supported through compatible software\u003c\/li\u003e\n\u003cli\u003eNVIDIA Ampere architecture GPU\u003c\/li\u003e\n\u003cli\u003e1024 CUDA cores\u003c\/li\u003e\n\u003cli\u003e32 Tensor Cores\u003c\/li\u003e\n\u003cli\u003e6-core Arm Cortex-A78AE CPU\u003c\/li\u003e\n\u003cli\u003e8GB 128-bit LPDDR5\u003c\/li\u003e\n\u003cli\u003e68 GB\/s original memory bandwidth\u003c\/li\u003e\n\u003cli\u003emicroSD storage\u003c\/li\u003e\n\u003cli\u003eNVMe SSD expansion\u003c\/li\u003e\n\u003cli\u003eDual MIPI CSI camera connectors\u003c\/li\u003e\n\u003cli\u003eGigabit Ethernet\u003c\/li\u003e\n\u003cli\u003eFour USB 3.2 Type-A ports\u003c\/li\u003e\n\u003cli\u003eDisplayPort\u003c\/li\u003e\n\u003cli\u003e40-pin expansion header\u003c\/li\u003e\n\u003cli\u003eM.2 expansion\u003c\/li\u003e\n\u003cli\u003eRobotics development\u003c\/li\u003e\n\u003cli\u003eComputer vision\u003c\/li\u003e\n\u003cli\u003eEdge AI\u003c\/li\u003e\n\u003cli\u003eMachine learning\u003c\/li\u003e\n\u003cli\u003eGenerative AI capability with suitable software\/models\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eTechnical Specifications\u003c\/h3\u003e\n\u003cdiv class=\"group TyagGW_tableContainer\"\u003e\n\u003cdiv class=\"TyagGW_tableWrapper flex flex-col-reverse w-fit\"\u003e\n\u003ctable class=\"w-fit min-w-(--thread-content-width)\"\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth class=\"last:pe-10\"\u003eSpecification\u003c\/th\u003e\n\u003cth class=\"last:pe-10\"\u003eOriginal Jetson Orin Nano 8GB Developer Kit\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eBrand\u003c\/td\u003e\n\u003ctd\u003eNVIDIA\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule\u003c\/td\u003e\n\u003ctd\u003eJetson Orin Nano 8GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 40 Sparse INT8 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDense INT8\u003c\/td\u003e\n\u003ctd\u003eUp to 20 TOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Ampere\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCUDA Cores\u003c\/td\u003e\n\u003ctd\u003e1024\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTensor Cores\u003c\/td\u003e\n\u003ctd\u003e32\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE v8.2 64-bit\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU Frequency\u003c\/td\u003e\n\u003ctd\u003eUp to 1.5GHz original configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e8GB 128-bit LPDDR5\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory Bandwidth\u003c\/td\u003e\n\u003ctd\u003e68 GB\/s original configuration\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003emicroSD + external NVMe\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCamera\u003c\/td\u003e\n\u003ctd\u003e2 × MIPI CSI-2 22-pin\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eEthernet\u003c\/td\u003e\n\u003ctd\u003eGigabit Ethernet\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB-A\u003c\/td\u003e\n\u003ctd\u003e4 × USB 3.2 Gen 2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003eDisplayPort 1.2\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eExpansion\u003c\/td\u003e\n\u003ctd\u003e40-pin header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOriginal Module Power\u003c\/td\u003e\n\u003ctd\u003e7W \/ 15W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSuper Upgrade\u003c\/td\u003e\n\u003ctd\u003eSupported through compatible current software\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003ch3\u003eIdeal Applications\u003c\/h3\u003e\n\u003cul\u003e\n\u003cli\u003eAI development\u003c\/li\u003e\n\u003cli\u003eRobotics\u003c\/li\u003e\n\u003cli\u003eComputer vision\u003c\/li\u003e\n\u003cli\u003eEdge AI\u003c\/li\u003e\n\u003cli\u003eMachine learning\u003c\/li\u003e\n\u003cli\u003eSmart cameras\u003c\/li\u003e\n\u003cli\u003eAutonomous systems\u003c\/li\u003e\n\u003cli\u003eIndustrial vision\u003c\/li\u003e\n\u003cli\u003eAI research\u003c\/li\u003e\n\u003cli\u003eUniversity laboratories\u003c\/li\u003e\n\u003cli\u003eEmbedded AI\u003c\/li\u003e\n\u003cli\u003eIntelligent automation\u003c\/li\u003e\n\u003cli\u003eAI prototyping\u003c\/li\u003e\n\u003cli\u003eVision-based robotics\u003c\/li\u003e\n\u003cli\u003eGenerative AI experimentation\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eIdeal For\u003c\/h3\u003e\n\u003cp\u003e\u003cstrong\u003eAI Developers\u003c\/strong\u003e — edge inference and machine-learning development.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eRobotics Developers\u003c\/strong\u003e — AI-powered robots and vision systems.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eStudents \u0026amp; Universities\u003c\/strong\u003e — AI, robotics and embedded-system education.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eResearchers\u003c\/strong\u003e — computer vision and edge-computing prototypes.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eMakers \u0026amp; Engineers\u003c\/strong\u003e — advanced embedded AI projects.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003ePackage Includes\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNVIDIA Jetson Orin Nano Developer Kit\u003c\/li\u003e\n\u003cli\u003ePower Adapter\u003c\/li\u003e\n\u003cli\u003eAC Power Cable\u003c\/li\u003e\n\u003cli\u003eInstalled Cooling Solution\u003c\/li\u003e\n\u003cli\u003eInstalled Wireless Module with Antennas\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch3\u003eBuy NVIDIA Jetson Orin Nano 8GB in Pakistan\u003c\/h3\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e is a compact edge AI platform for robotics, computer vision, machine learning and advanced embedded applications.\u003c\/p\u003e\n\u003cp\u003eCheck Chip.pk for the latest \u003cstrong\u003eJetson Orin Nano price in Pakistan\u003c\/strong\u003e and current stock availability.\u003c\/p\u003e\n\u003ch3\u003eFAQs\u003c\/h3\u003e\n\u003ch3\u003e1. What is the NVIDIA Jetson Orin Nano 8GB Developer Kit?\u003c\/h3\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e is a compact edge AI development platform designed for robotics, computer vision, machine learning, intelligent cameras and embedded AI applications.\u003c\/p\u003e\n\u003ch3\u003e2. How much RAM does the Jetson Orin Nano have?\u003c\/h3\u003e\n\u003cp\u003eThis variant uses \u003cstrong\u003e8GB of 128-bit LPDDR5 memory\u003c\/strong\u003e.\u003c\/p\u003e\n\u003ch3\u003e3. What is the AI performance of Jetson Orin Nano 8GB?\u003c\/h3\u003e\n\u003cp\u003eThe original Jetson Orin Nano 8GB configuration was specified at up to \u003cstrong\u003e40 sparse INT8 TOPS\u003c\/strong\u003e. NVIDIA later introduced software-enabled Super performance improvements for compatible Jetson Orin Nano Developer Kits.\u003c\/p\u003e\n\u003ch3\u003e4. Which GPU does Jetson Orin Nano use?\u003c\/h3\u003e\n\u003cp\u003eIt features an \u003cstrong\u003eNVIDIA Ampere architecture GPU with 1024 CUDA cores and 32 Tensor Cores\u003c\/strong\u003e, providing hardware acceleration for suitable AI and parallel-computing workloads.\u003c\/p\u003e\n\u003ch3\u003e5. Which CPU is used in the Jetson Orin Nano 8GB?\u003c\/h3\u003e\n\u003cp\u003eThe module uses a \u003cstrong\u003e6-core Arm Cortex-A78AE v8.2 64-bit CPU\u003c\/strong\u003e.\u003c\/p\u003e\n\u003ch3\u003e6. Can Jetson Orin Nano be used for AI and machine learning?\u003c\/h3\u003e\n\u003cp\u003eYes. It is designed for edge AI applications including machine learning inference, deep learning, object detection, image classification, computer vision and robotics.\u003c\/p\u003e\n\u003ch3\u003e7. Can Jetson Orin Nano run generative AI?\u003c\/h3\u003e\n\u003cp\u003eYes, suitable generative AI workloads can run on Jetson Orin Nano, particularly with optimized models and current NVIDIA software. Actual performance depends on model size, quantization, memory requirements and software configuration.\u003c\/p\u003e\n\u003ch3\u003e8. Is Jetson Orin Nano suitable for robotics?\u003c\/h3\u003e\n\u003cp\u003eYes. Robotics is one of its major applications. Its GPU acceleration, camera connectivity and expansion interfaces make it suitable for AI-powered robots, autonomous prototypes and machine-vision systems.\u003c\/p\u003e\n\u003ch3\u003e9. Does Jetson Orin Nano support cameras?\u003c\/h3\u003e\n\u003cp\u003eYes. The Developer Kit provides \u003cstrong\u003eMIPI CSI camera connectivity\u003c\/strong\u003e for compatible camera modules, making it suitable for computer vision and AI-camera development.\u003c\/p\u003e\n\u003ch3\u003e10. Does Jetson Orin Nano support NVMe SSD storage?\u003c\/h3\u003e\n\u003cp\u003eYes. The carrier board provides \u003cstrong\u003eM.2 Key M expansion for compatible NVMe storage\u003c\/strong\u003e, allowing faster and larger storage than relying solely on microSD.\u003c\/p\u003e\n\u003ch3\u003e11. Does the Jetson Orin Nano have Wi-Fi and Bluetooth?\u003c\/h3\u003e\n\u003cp\u003eYour actual Chip.pk unit has an \u003cstrong\u003einstalled M.2 wireless module with antenna connections\u003c\/strong\u003e, as visible in the supplied product images. Therefore, wireless connectivity can be mentioned for this stock.\u003c\/p\u003e\n\u003ch3\u003e12. Does Jetson Orin Nano have Ethernet?\u003c\/h3\u003e\n\u003cp\u003eYes. The Developer Kit provides \u003cstrong\u003eGigabit Ethernet\u003c\/strong\u003e for wired networking.\u003c\/p\u003e\n\u003ch3\u003e13. Does Jetson Orin Nano have GPIO?\u003c\/h3\u003e\n\u003cp\u003eYes. The carrier board includes a \u003cstrong\u003e40-pin expansion header\u003c\/strong\u003e supporting interfaces useful for embedded development, including GPIO and serial peripheral interfaces.\u003c\/p\u003e\n\u003ch3\u003e14. What software is used with Jetson Orin Nano?\u003c\/h3\u003e\n\u003cp\u003eThe platform is supported by NVIDIA's \u003cstrong\u003eJetPack SDK\u003c\/strong\u003e, which provides the software stack, libraries and development environment for Jetson AI applications.\u003c\/p\u003e\n\u003ch3\u003e15. Is Jetson Orin Nano the same as Jetson Nano?\u003c\/h3\u003e\n\u003cp\u003eNo. \u003cstrong\u003eJetson Nano\u003c\/strong\u003e is an older NVIDIA platform. \u003cstrong\u003eJetson Orin Nano\u003c\/strong\u003e belongs to the newer Orin generation and provides substantially greater AI computing capability.\u003c\/p\u003e\n\u003ch3\u003e16. Is this the Jetson Orin Nano Super Developer Kit?\u003c\/h3\u003e\n\u003cp\u003eThe product being listed on Chip.pk is the \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e, and the supplied packaging identifies it as \u003cstrong\u003e“JETSON ORIN NANO Developer Kit.”\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp\u003eNVIDIA has subsequently made Super performance improvements available to compatible existing Orin Nano Developer Kits through software, but Chip.pk should not rename this particular stock “Super” when its product packaging does not identify it that way.\u003c\/p\u003e\n\u003ch3\u003e17. Is Jetson Orin Nano suitable for students and universities?\u003c\/h3\u003e\n\u003cp\u003eYes. It is useful for students, universities, researchers and engineering labs working on AI, machine learning, robotics, computer vision and embedded computing.\u003c\/p\u003e\n\u003ch3\u003e18. What is the Jetson Orin Nano price in Pakistan?\u003c\/h3\u003e\n\u003cp\u003eThe \u003cstrong\u003eNVIDIA Jetson Orin Nano price in Pakistan\u003c\/strong\u003e may change according to stock, exchange rates and market conditions. Check the current Chip.pk listing for the latest price.\u003c\/p\u003e\n\u003ch3\u003e19. Where can I buy NVIDIA Jetson Orin Nano in Pakistan?\u003c\/h3\u003e\n\u003cp\u003eYou can buy the \u003cstrong\u003eNVIDIA Jetson Orin Nano 8GB Developer Kit\u003c\/strong\u003e from Chip.pk, subject to current stock availability.\u003c\/p\u003e","brand":"Chip.pk","offers":[{"title":"Default Title","offer_id":52826118521117,"sku":null,"price":175000.0,"currency_code":"PKR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0998\/1060\/7389\/files\/chip-pk-jetson-orin-nano-8gb-3.webp?v=1787850352","url":"https:\/\/www.chip.pk\/products\/nvidia-jetson-orin-nano-8gb-developer-kit","provider":"Chip.pk","version":"1.0","type":"link"}