{"product_id":"asus-pe1100n-edge-ai-system-nvidia-jetson-orin-nx-orin-nano","title":"ASUS PE1100N Edge AI System — NVIDIA Jetson Orin NX\/Orin Nano","description":"\u003cp\u003eThe ASUS PE1100N is a fanless, ultra-compact edge AI computer built on the NVIDIA Jetson Orin platform. It is engineered for embedded and robotics engineers who need to deploy computer-vision and inferencing workloads into vehicles, kiosks, production lines and outdoor infrastructure rather than a data-center rack.\u003c\/p\u003e\u003ch2\u003eWho it's for\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eTraffic and vehicle analysis, people-counting, license-plate recognition and surveillance\u003c\/li\u003e\n\u003cli\u003eAutomated guided vehicles (AGVs) and autonomous mobile robots (AMRs)\u003c\/li\u003e\n\u003cli\u003eAutomated optical inspection (AOI) on production lines\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eKey features\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eNVIDIA Jetson Orin module, configurable to your workload:\u003c\/strong\u003e Orin Nano 4GB, Orin Nano 8GB, Orin NX 8GB or Orin NX 16GB, all with Arm Cortex-A78AE cores and an Ampere GPU (core counts in the table below).\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eUp to 100 TOPS of AI inferencing:\u003c\/strong\u003e the Orin NX 16GB in Super Mode reaches roughly 100 TOPS, with the other variants scaling down, inside a 10–25W power envelope and up to 18x better performance-per-watt than a comparable x86 platform.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFanless, MIL-STD-810H-tested chassis:\u003c\/strong\u003e a 152 x 114 x 72mm extruded-aluminium enclosure weighing 1.4kg, shock- and vibration-tested to MIL-STD-810H Method 514.8\/516.8.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIndustrial I\/O:\u003c\/strong\u003e 2x Gigabit Ethernet, 3x USB 3.2 Gen1 Type-A, 2x RS-232\/422\/485 serial (DB9), 1x CAN bus (DB9) and an isolated 4x DI \/ 4x DO terminal block for sensors, PLCs and actuators.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModular expansion via M.2:\u003c\/strong\u003e an M-key slot for NVMe storage (128GB\/256GB\/512GB options), an E-key slot for Wi-Fi\/Bluetooth, and a B-key slot with dual nano-SIM for 4G\/5G cellular.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWide-range power and temperature tolerance:\u003c\/strong\u003e runs from 12–24V DC (3-pin terminal block, with an optional 65W AC adapter for bench use) across a –20°C to 50°C operating range.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAWS IoT Greengrass certified:\u003c\/strong\u003e validated for cloud-connected edge AI deployments.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTPM 2.0 and hardware watchdog:\u003c\/strong\u003e onboard security and automatic recovery from software hangs for unattended field deployments.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eSpecifications\u003c\/h2\u003e\u003ctable\u003e\n\u003cthead\u003e\u003ctr\u003e\n\u003cth\u003eSpec\u003c\/th\u003e\n\u003cth\u003eDetail\u003c\/th\u003e\n\u003c\/tr\u003e\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eCompute Module\u003c\/td\u003e\n\u003ctd\u003eNVIDIA Jetson Orin Nano 4GB \/ Orin Nano 8GB \/ Orin NX 8GB \/ Orin NX 16GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCPU\u003c\/td\u003e\n\u003ctd\u003e6-core Arm Cortex-A78AE (Orin Nano) or 8-core Arm Cortex-A78AE (Orin NX)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGPU\u003c\/td\u003e\n\u003ctd\u003e512-core NVIDIA Ampere with 16 Tensor Cores (Nano 4GB) or 1024-core Ampere with 32 Tensor Cores (Nano 8GB \/ NX 8GB \/ NX 16GB)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eModule Memory\u003c\/td\u003e\n\u003ctd\u003e4GB, 8GB or 16GB LPDDR5 (64-bit or 128-bit, module-dependent)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAI Performance\u003c\/td\u003e\n\u003ctd\u003eUp to 100 TOPS (Orin NX 16GB, Super Mode)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003eM.2 2280 M-key NVMe SSD, 128GB \/ 256GB \/ 512GB options\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDisplay\u003c\/td\u003e\n\u003ctd\u003e1x HDMI (1.4a, 4K30 on Orin Nano SKUs; 2.0b, 4K60 on Orin NX SKUs)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eNetworking\u003c\/td\u003e\n\u003ctd\u003e2x Gigabit Ethernet (RJ-45), M.2 E-key 2230 for Wi-Fi\/Bluetooth, M.2 B-key 3042\/3052 for 4G\/5G with dual nano-SIM\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUSB\u003c\/td\u003e\n\u003ctd\u003e3x USB 3.2 Gen1 Type-A, 1x USB 2.0 Micro-USB (OS flash\/debug), 2x USB 2.0 internal header\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSerial and Fieldbus\u003c\/td\u003e\n\u003ctd\u003e2x RS-232\/422\/485 (DB9), 1x CAN bus (DB9)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDigital I\/O\u003c\/td\u003e\n\u003ctd\u003e4x isolated DI + 4x isolated DO (terminal block)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSecurity\u003c\/td\u003e\n\u003ctd\u003eTPM 2.0, hardware watchdog timer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Input\u003c\/td\u003e\n\u003ctd\u003e12–24V DC, 3-pin terminal block; optional 65W AC adapter (100–240VAC in, 19VDC\/3.42A out)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSystem Power Draw\u003c\/td\u003e\n\u003ctd\u003eApprox. 10–25W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e–20°C to 50°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage Temperature\u003c\/td\u003e\n\u003ctd\u003e–40°C to 85°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eHumidity\u003c\/td\u003e\n\u003ctd\u003e10–95% non-condensing\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eShock \/ Vibration\u003c\/td\u003e\n\u003ctd\u003eMIL-STD-810H Method 516.8 (shock) \/ Method 514.8 (vibration)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eDimensions\u003c\/td\u003e\n\u003ctd\u003e152 x 114 x 72mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eWeight\u003c\/td\u003e\n\u003ctd\u003e1.4kg\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eChassis\u003c\/td\u003e\n\u003ctd\u003eFanless extruded-aluminium, wall\/DIN-rail mountable\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating System\u003c\/td\u003e\n\u003ctd\u003eUbuntu Desktop (NVIDIA JetPack \/ L4T), with NVIDIA Isaac ROS \/ ROS2 support\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCertifications\u003c\/td\u003e\n\u003ctd\u003eCE, FCC, RoHS; AWS IoT Greengrass Qualified Device\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\u003ch2\u003eGood to know\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eThis is an inferencing and computer-vision deployment platform, not a training rig. You develop and fine-tune models elsewhere and deploy the optimized model to the PE1100N.\u003c\/li\u003e\n\u003cli\u003eEvery module runs the same NVIDIA JetPack\/L4T-based Ubuntu environment used across the Jetson family, with NVIDIA Isaac ROS and ROS2 support, so work from a Jetson dev kit or a larger Jetson AGX system carries over.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eChoose the PE1100N when the hardware has to survive vehicle vibration and unheated cabinets, and pick the module that matches your model.\u003c\/p\u003e","brand":"ASUS","offers":[{"title":"Default Title","offer_id":58232537383294,"sku":"90AE0191-M00340","price":1577.19,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1022\/4468\/0062\/files\/asus-pe1100n.png?v=1792094027","url":"https:\/\/computahardware.net\/products\/asus-pe1100n-edge-ai-system-nvidia-jetson-orin-nx-orin-nano","provider":"ComputaHardware","version":"1.0","type":"link"}