reComputer J4012 - Edge AI Computer with NVIDIA® Jetson™ Orin™ NX 16GB （Super Mode NOT Supported)

Note If you are looking for the version without power adapter, please check out reComputer J4012 without power adapter For optimal performance with reComputer, we recommend using 128GB / 256GB / 512GB / 1TB SSDs from Seeed. Since some SSDs on the market may only be compatible with specific JetPack versions which may cause the device to fail to function properly, and this issue is also present with official NVIDIA dev kits. Features Powerful, Compact, Efficient, and Flexible Brilliant AI Performance for Production: Achieves up to 100 TOPS AI performance with low power and latency, built by NVIDIA Orin SoC combining the NVIDIA Ampere™ GPU architecture with 64-bit operating capability, integrated advanced multi-function video and image processing, and NVIDIA Deep Learning Accelerators. Hand-Size Edge AI Device: Compact size at 130mm x120mm x 58.5mm, featuring an NVIDIA Jetson Orin NX 16GB module, J401 carrier board, fan, enclosure, and power adapter. Support desktop and wall mounting. Expandable with Rich I/Os: Includes 4x USB 3.2, HDMI 2.1, 2x CSI, 1x RJ45 for GbE, M.2 Key E, M.2 Key M, CAN, and GPIO. Accelerate Solutions to Market: Pre-installed JetPack 5.1.1 on 128GB NVMe SSD, Linux OS BSP, supporting Jetson software and leading AI frameworks. Scale to deploy: support OTA, remote management services powered by Allxon and Balena. Flexible Customization: inlcudes changing accessories modules, logo, and hardware interfaces modification based on reComputer J4012 original design. Specification Jetson Orin NX System on Module AI Performance reComputer J4012 - Orin NX 16GB, 100 TOPS reComputer J4011- Orin NX 8GB – 70 TOPS GPU 1024-core NVIDIA Ampere architecture GPU with 32 Tensor Cores CPU 8-core Arm® Cortex®-A78AE v8.2 64-bit CPU (Orin NX 16GB) 6-core Arm® Cortex®-A78AE (Orin NX 8GB) Memory 16GB 128-bit LPDDR5 (Orin NX 16GB) 8GB 128-bit LPDDR5 (Orin NX 8GB) Video Encode 1x 8K30 (H.265) | 2x 4K60 (H.265) | 4x 4K30 (H.265) | 9x 1080p60 (H.265) | 18x 1080p30 (H.265) Video Decode 1x 4K60 (H.265) | 3x 4K30 (H.265) | 6x 1080p60 (H.265) | 12x 1080p30 (H.265) DL Accelerator 2x NVDLA v2 Carrier Board Storage 1x M.2 Key M PCIe (M.2 NVMe 2280 SSD 128G included) Networking Ethernet 1x RJ-45 Gigabit Ethernet (10/100/1000M) M.2 KEY E 1x M.2 Key E for WiFi/Bluetooth module I/O USB 4x USB 3.2 Type-A (10Gbps) 1x USB2.0 Type-C (Device Mode) Camera 2x CSI (2-lane 15pin) Display 1x HDMI 2.1 Fan 1x 4 pin Fan Connector (5V PWM) CAN 1x CAN Multifunctional Port 1x 40-Pin Expansion header 1x 12-Pin Control and UART header RTC 1x RTC 2-pin, supports CR1220 (not included) Power Supply 9-19V DC Mechanical Dimensions (W x D x H) 130mm x 120mm x 58.5mm (with case) Installation Desk, wall-mounting Operating Temperature -10℃~60℃ Warranty 1 Year Hardware Overview reComputer J401 carrier board, included in the full system - reComputer J4012 Desktop, wall Mount, expandable, or fit in anywhere Application Application Fields: AI Video Analytics Machine Vision Autonomous Mobile Robot (AMR) Generative AI Capable of Bringing Generatie AI to the Edge Now you can build AI agents capable of processing large amounts of live or archived videos and images with Vision-Language Models (VLM) such as LLaVA, this new AI agents help nearly every industry summarize, search, and extract actionable insights from video using natural language. Build Multi-streams AI Video Analytics For building video analytics, Jetson Orin NX incorporates the NVIDIA Multi-Standard Video Decoder. This video decoder accelerates video decode, supporting low resolution mobile content, Standard Definition (SD), High Definition (HD) and UltraHD (8K, 4K, etc.) reComputer J4012 can take 18x1080p30 streams. See our tested YOLOv8 performance using NVIDIA Deepstream of single model and multi model on multi streams. Fastest Way to Deploy Generative AI and Computer Vision Models We have jetson-example prepared for you! It offers one-line deploy projects edge AI applications of generative AI including Ollama, Llama3; computer vision including YOLOv8; and others. We have configured all environment for you to provides single command deployment of projects.