Aetina Corporation has announced an expansion of its NVIDIA Jetson Thor portfolio to include support for the new NVIDIA Jetson T3000 and T2000 modules. This development is crucial for the AECM industry as it promises to enhance robotics and industrial edge applications with scalable, power-efficient AI computing solutions.
What Happened
Aetina, a leader in edge AI solutions, unveiled plans to support the NVIDIA Jetson T3000 and T2000 modules, the latest in the NVIDIA Jetson Thor family. These modules are designed to deliver high-performance AI compute in a compact and cost-effective form factor. The T3000 module boasts up to 865 FP4 TFLOPS through a NVIDIA Blackwell GPU with 1,536 CUDA cores, an 8-core Arm Neoverse CPU, and 32GB of LPDDR5X memory, all within a 70W power envelope. Meanwhile, the T2000 offers up to 400 FP4 TFLOPS with 1,024 CUDA cores and 16GB of LPDDR5X memory. Aetina plans to integrate these modules into its DeviceEdge AIE-KT and AIE-PT systems, providing both fan-based and fanless options for various deployment needs.
What This Means for Your Business
For US operators in the AECM sector, Aetina's expanded support for NVIDIA's latest modules represents an opportunity to leverage cutting-edge AI technology in robotics and industrial applications. The increased performance and efficiency of the T3000 and T2000 modules allow for more robust and scalable AI solutions, which can significantly enhance project outcomes and operational capabilities. Businesses can expect improved ROI through reduced power consumption and the ability to deploy more compact systems without sacrificing performance. The fanless AIE-PT series, in particular, offers a solution for environments where space and noise constraints are critical.
What US Operators Should Watch
Operators should monitor the rollout of Aetina's new systems supporting the Jetson T3000 and T2000 modules. As these systems become available, they will open up new procurement opportunities and potential partnerships for integrating advanced AI capabilities into existing systems. It's essential to track product availability and any associated firmware or software updates that could impact deployment timelines.
Source: [http://www.ManufacturingTomorrow.com/news/2026/07/16/aetina-expands-its-nvidia-jetson-thor-portfolio-with-support-for-new-jetson-t3000-and-t2000-modules/27922]. Read the original story ->
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