GIGAIPC Launches Jetson Orin Series Edge Devices at Computex 2025

GIGAIPC is set to reveal three powerful Artificial Intelligence edge computing devices powered by NVIDIA Jetson Orin modules at COMPUTEX 2025.

As COMPUTEX 2025 opens in Taipei, GIGAIPC, the industrial computing and edge Artificial Intelligence subsidiary of GIGABYTE Technology, is making headlines by unveiling three cutting-edge Artificial Intelligence edge computing solutions. The flagship lineup, consisting of the QN-ORAX32-A1, QN-ORNX16GH-A1, and QN-ORNX16, leverages the advanced capabilities of NVIDIA Jetson Orin modules, tailored for demanding applications in smart manufacturing, intelligent surveillance, healthcare, retail, and broader AIoT ecosystems. This move by GIGAIPC underscores its commitment to delivering industrial-grade Artificial Intelligence hardware solutions that cater to diverse and challenging deployment environments.

The highlight of the portfolio, the QN-ORAX32-A1, is built around the NVIDIA Jetson AGX Orin 32 GB module. This device incorporates an 8-core Arm v8.2 64-bit CPU and an NVIDIA Ampere GPU packed with 1792 CUDA cores and 56 Tensor cores, achieving up to 200 TOPS of Artificial Intelligence performance. This represents a sixfold performance boost compared to its predecessor, signifying a leap in computation for applications that require high-load data processing or the execution of sophisticated Artificial Intelligence models.

In addition to its formidable computational specifications, the QN-ORAX32-A1 is engineered for the realities of industrial deployment. It adopts a robust fanless thermal design to enhance reliability and minimize maintenance in harsh operating conditions, coupled with a wide-range DC power input to ensure operational stability. These design choices position GIGAIPC’s Jetson Orin series as a versatile solution for organizations aiming to integrate next-generation Artificial Intelligence capabilities in industrial, healthcare, surveillance, and retail environments. The launch at COMPUTEX 2025 is expected to set new standards in edge Artificial Intelligence system design and reliability.

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