Lanner Launches Fanless EAI-I132 Edge AI Computer with NVIDIA Jetson Orin NX/Nano
September 29, 2025
News
Lanner Electronics released its IP40-rated fanless EAI-I132, an industrial-grade Edge AI computer powered by the NVIDIA Jetson Orin NX or Nano delivering up to 100 TOPS of AI performance for traffic video analytics, PPE compliance monitoring, and AI-powered autonomous systems.
Ideal for powering IP cameras and edge sensors directly, the EAI-I132 features three RJ45 LAN ports, including two PoE ports delivering up to 60 watts. Supported is a power input range of 12V–24V with optional GPS and G-sensor integration for enhanced situational awareness in mobile and industrial AI applications.
The EAI-I132 is completely compatible with the NVIDIA JetPack SDK 6.0, giving designers access to Jetson Linux, CUDA-X accelerated libraries, as well as AI development tools.
Additional Features:
- Up To 1024-core NVIDIA CUDA GPU With 32 Tensor Cores
- 1x GbE RJ45, 2x GbE RJ45 w/ PoE+
- 2x COM, 2x USB 3.0, 1x HDMI, 4x DI & 2x DO, 2x Audio jack
- 1x M.2 2230 E-Key for WiFi, 1x M.2 3042/3052 B-Key for 5GSub6/LTE
- Wide range temperature of -40°C~70°C
For more information, visit lannerinc.com/products/edge-ai-appliance/nvidia-gpu-solutions/eai-i132.
Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.
He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.
Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.
