110061483 NVIDIA Jetson Xavier NX Bundle, 6x 1.9 GHz, 16 GB RAM

reComputer J2022-Edge AI device with Jetson Xavier NX 16 GB module, 4xUSB, M.2 Key E and Key M slot, aluminum housing, pre-installed JetPack system

reComputer J2022 is a powerful and compact intelligent edge box that brings up to 21TOPS of modern AI performance to the edge. The complete system includes the same form factor carrier board as the Jetson NX Developer Kit, a Jetson Xavier NX production module and a heat sink. reComputer J2022 is pre-installed with Jetpack 4.6.1, simplifies development and is suitable for use in edge AI solutions operating in the fields of video analytics, object recognition, natural language processing, medical imaging and robotics in the smart cities, security, industrial automation, smart factories industries.

Technical specifications - Module: Jetson Xavier NX 16 GB - AI performance: 21 TOPS - GPU: 384-core NVIDIA Volta™ GPU - CPU: 6-core NVIDIA Carmel ARM®v8.2 64-bit @1.9 GHz - CPU cache: 6 MB L2 + 4 MB L3 - RAM: 16 GB 128-bit LPDDR4x @59.7 GB/s - Memory: 16 GB eMMC 5.1 - Video encoder (H.265): 2x 4K60, 4x 4K30, 10x 1080p60, 22x 1080p30 - Video encoder (H.264): 2x 4K60, 4x 4K30, 10x 1080p60, 20x 1080p30 - Video decoder (H.265): 2x 8K30, 6x 4K60, 12x 4K30, 22x 1080p60, 44x 1080p30 - Video decoder (H.264): 2x 4K60, 6x 4K30, 10x 1080p60, 22x 1080p30 - LAN: 1x RJ45 Gigabit Ethernet connection (10/100/1000) - USB: 4x USB 3.1 type A port / 1x USB type C (device mode) - CSI: 2x CSI camera (MIPI CSI-2) - Display: 1x HDMI type A; 1x DP - Fan: 5 V PWM - M.2: 1x M.2 KEY E, 1x M.2 Key M - RTC: 2-pin - GPIO: 40-pin I/O - Power supply: 12 V @5 A - Power supply connection: DC socket (5.5/2.5 mm) - Dimensions (LxWxH): 130 x 120 x 50 mm

Scope of delivery - Jetson Xavier NX module with 16 GB - reComputer J202 carrier board - housing with aluminum frame and acrylic cover - Aluminum heat sink with fan

hint reComputer J2022 with Jetson Xavier NX module supports AlwaysAI Accelerated Edge Deployment. You can train a brand new custom model in just a few hours or even select one of over 130 pre-trained models from the Always dashboard, deploy it to edge devices and build a computer vision application in minutes! AlwaysAI removes barriers to machine learning requirements and makes building computer vision apps easy, fast and effective.

Manufacturer Information & Software https://wiki.seeedstudio.com/reComputergettingstarted/ https://wiki.seeedstudio.com/reComputerJetsonSeriesIntroduction/ https://wiki.seeedstudio.com/reComputerJ2021J202FlashJetpack/ https://www.nvidia.com/de-de/autonomous-machines/embedded-systems/jetson-nano/ https://developer.nvidia.com/embedded/jetpack