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(PR) AAEON Outlines Plans for Embedded AI Box PCs With Jetson T2000 and T3000 Modules

AAEON announced plans to integrate NVIDIA's new Jetson T2000 and T3000 modules into its Fanless Embedded AI System range, starting with the BOXER-8752AI. The system, powered by the Jetson T3000 module with Blackwell architecture, targets next-generation Smart City infrastructure by enabling real-time vision understanding and scalable AI solutions.

read1 min views1 publishedJul 16, 2026

Following the announcement of NVIDIA Jetson T2000 and NVIDIA Jetson T3000 modules, industry-leading provider of edge AI solutions AAEON (Stock Code: 6579) has announced its intention to adopt the new memory-optimized, compact modules across its Fanless Embedded AI System range AAEON's adoption of the new additions to the NVIDIA Jetson Thor series modules will begin with the BOXER-8752AI, a Fanless Embedded AI System powered by NVIDIA Jetson T3000 module. Equipped with the new module's NVIDIA Blackwell architecture GPU with 1536 CUDA Cores, which offers 865 FP4 TFLOPS, an 8-core Neoverse Arm CPU, and 32 GB LPDDR5X memory, the BOXER-8752AI will be designed to enable the next generation of Smart City infrastructure solutions.

The BOXER-8752AI is set to offer up to eight RJ-45 LAN ports with PoE function alongside an additional RJ-45 port supporting 5GbE speed with independent MAC. Joining these will be up to six independent 5 Gbps USB ports, both DB-9 and DB-15 ports offering a selection of CANBus, programmable DIO, and RS-232/422/485 interfaces. With the additional announcement that NVIDIA Cosmos 3 - the first fully open omnimodal world model for physical AI - will be available to run on NVIDIA Jetson Thor series, the BOXER-8752AI shows particular potential for scalable Smart City infrastructure projects. The lightweight, 4B parameter model enables real-time livestream and multi-view vision understanding, giving AAEON customers a fast, cost-efficient, and customizable foundation through which data acquired using AAEON's expansive hardware can be tailored to suit real-world scenarios.

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