IBASE Launches Its NVIDIA Powered EC3500 for Edge AI

By Chad Cox

Production Editor

Embedded Computing Design

July 06, 2023

News

IBASE Launches Its NVIDIA Powered EC3500 for Edge AI
Image Credit: IBASE

Taipei, Taiwan. IBASE Technology Inc. launched its EC3500 edge AI computing environment powered by NVIDIA Jetson AGX Orin 32GB / Jetson AGX Orin 64GB with an 8-core or a 12-core NVIDIA Arm Cortex A78AE v8.2 64-bit processor. The EC3500 integrates an NVIDIA Ampere GPU showcasing 1792 or 2048 cores supplemented by 56 or 64 Tensor Cores respectively.

The combination allows for simultaneous implementation of various AI applications with innovative graphical performance. The operating power input ranges from 9V~36V DC. The EC3500 has a generous amount of expansion options including:

  • M.2 B-Key 3042/3052 with a micro-SIM holder
  • M.2 E-Key 2230 for flexible WiFi/BT/GPS functionality
  • M.2 M-Key 2280 socket
  • 16-lane MIPI expansion

The EC3500 is ideal for the following applications, including computer vision, object detection, and natural language processing, and supports Ubuntu 20.04.

"With its powerful computing capabilities, advanced features, and expandability, the EC3500 is the ultimate solution for a wide range of AI applications," said Archer Chien, Director of IBASE Solution Product Planning Dept. "We are proud to offer this cutting-edge solution to our customers and look forward to seeing the impact it will have on the industry."

For more information, visit ibase.com.tw.

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.

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