Edge AI Platform or Dev Kit powered by NVIDIA® Jetson Orin™ Modules
Key Features
~Deep learning acceleration using NVIDIA® Jetson Orin™ NX or Orin Nano™ modules
~Compact, durable and fanless design for 24/7 operation
~Wide operating temperature range: -20°C to 70°C (system level), -20°C to 85°C (board level)
~Versatile I/O port functionality with optional FM board extension
~Wireless connectivity through WiFi/BT/LTE module
~Linux® Ubuntu 20.04 and Jetpack 5.1.2 operating system
~Optional remote management available with Allxon
Introduction
Introducing the DLAP-211-Orin Series, an exceptional edge AI inference platform designed to deliver unparalleled high-performance computing capabilities. This highly adaptable solution caters to the demands of various industrial IoT applications, including smart cities, smart tourism initiatives, public and road safety, automated optical inspection, machine vision inspection, agriculture and aquaculture management, retail, healthcare, autonomous vehicles, robotics, and more. Powered by the Jetson Orin™ System-on-Module (SoM), the DLAP-211-Orin Series combines a highly optimized compute engine, a multi-instance GPU, and a dedicated deep-learning accelerator. The device impresses with its compact size, expandability, dependability, and up to 8 times greater AI performance compared to its predecessors. It offers hardware acceleration for deep learning, advanced safety and security features, and support for multiple sensors and cameras. With its exceptional feature set, the DLAP-211-Orin Series enables developers to build advanced AI-powered edge solutions with a strong emphasis on performance, flexibility, safety, and security. This makes it the ideal choice for cutting-edge edge computing applications that require top-notch technology.
Available in NVIDIA Jetson Orin NX and Jetson Orin Nano modules:
1. DLAP-211-Orin NX (Platform or Dev Kit)
2. DLAP-211-Orin Nano (Platform or Dev kit)
Please refer to the datasheet for more details.
PDF or Doc Download
20231218_DLAP_211_Orin_Series.pdf |