AAEON Announces Plans to Incorporate NVIDIA Jetson Orin Nano 2 Module into its Embedded AI System Roadmap
Following the announcement of NVIDIA Jetson Orin Nano 2, AAEON confirmed it will support the adoption of the module through its BOXER-8XXXAI product line.
Taipei, Taiwan – Aug 26: Following the announcement of NVIDIA Jetson Orin Nano 2, industry-leading edge AI platform provider AAEON (Stock Code: 6579) has announced its intention to integrate the energy-efficient, compact module into its Fanless Embedded AI System range.
NVIDIA Jetson Orin Nano 2, which will feature twice the performance of its predecessor and consumes much less power at the same performance, is to be made available in both module and developer kit form during the first half of next year.
In response to the news, AAEON has confirmed that it is one of the ecosystem partners working with NVIDIA to adopt the new addition to the NVIDIA Jetson Orin series modules, noting that a more detailed product roadmap with system-level specifications will be announced closer to the module’s official market release.
Powered by an NVIDIA Ampere architecture GPU with 1,536 CUDA Cores and improved Tensor Cores, NVIDIA Jetson Orin Nano 2 will provide up to 78 TOPS of AI performance. Meanwhile, the module will also include an 8-core Arm Cortex CPU and 8GB of LPDDR5x with higher memory bandwidth.
For AAEON customers seeking robust hardware platforms to build entry-level edge AI solutions across physical AI, one of the key benefits of NVIDIA Jetson Orin Nano 2 will be its optimized power-efficiency. Notably, the module is reported to consume 40% less power than its predecessor while delivering the same high standard of performance.
Taking advantage of the greater thermal headroom available as a result of the module’s more efficient power profile, AAEON has indicated that its Fanless Embedded AI Systems featuring NVIDIA Jetson Orin Nano 2 will be designed to ensure they provide interfaces conducive to advanced application building while remaining as compact and fanless as possible.
