The upcoming DeviceEdge AIE-KT and new fanless AIE-PT systems will support NVIDIA Jetson T3000 and T2000 modules, enabling scalable, power-efficient AI computing for robotics and industrial edge applications.
Aetina Corporation, a leading edge AI solution provider and accelerator of edge AI infrastructure, today announced its plans to support the newly introduced NVIDIA Jetson T3000 and T2000 modules, the latest additions to the NVIDIA Jetson Thor family. Building on its established portfolio of NVIDIA Jetson Thor-powered robotics computing systems, Aetina will extend its DeviceEdge AIE-KT series of fan-based edge computing systems, alongside new AIE-PT series fanless system designs, to support the T3000 and T2000 system-on-modules — bringing scalable, power-efficient physical AI compute to compact, cost effective and memory-optimized platforms for robotics and industrial applications.
Deepening Aetina’s NVIDIA Jetson Thor Momentum
As a NVIDIA Elite Partner, Aetina has already established strong traction with the NVIDIA Jetson AGX Thor series modules, showcasing a high-performance robotics system that delivers up to 2070 FP4 TFLOPS of AI compute within an efficient 130W power envelope. The platform runs advanced generative AI models, including NVIDIA Isaac GR00T with ultra-low latency, unlocking new possibilities for humanoid and generative physical AI applications. The introduction of the NVIDIA Jetson T3000 and T2000 modules extends this momentum, giving Aetina a broader Thor-based product line spanning performance and mainstream deployments.
New Fan-Based and Fanless Systems for Jetson T3000 and T2000
NVIDIA Jetson T3000 delivers 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 at 273 GB/s, within 70W. It achieves similar inference performance as the flagship T5000 at roughly half the size and power — ideal for scaled robotics deployments. NVIDIA Jetson T2000 delivers up to 400 FP4 TFLOPS via a NVIDIA Blackwell GPU with 1,024 CUDA cores and 16GB of LPDDR5X memory at 137 GB/s, enabling visual AI agents, autonomous mobile robots, and manipulators.
To bring both modules to market, Aetina plans to expand two dedicated product lines: the DeviceEdge AIE-KT series, a fan-based platform engineered for deployments requiring additional thermal headroom and sustained performance, and the new DeviceEdge AIE-PT series, a fanless design built for enclosed, rugged, and space-constrained environments where silent, maintenance-free operation is required. Together, AIE-KT and AIE-PT give customers a clear path to scale mainstream robotics deployments from prototype to mass production.
Scaling Physical AI for the Next Wave of Robotics
Humanoid robotics is poised to become a multi-trillion-dollar industry, demanding AI compute that is powerful, compact, power-efficient, and without compromising on cost. Aetina’s expanding lineup by NVIDIA Jetson Thor family modules is designed to meet exactly this need.
NVIDIA Jetson T3000 and T2000 modules are expected to be available in Q1 2027, with full support for the complete NVIDIA software stack, including open models as NVIDIA Nemotron, NVIDIA Cosmos 3, and NVIDIA GR00T, along with new Jetson agent skills. Among these, NVIDIA Cosmos 3 stands out as the first fully open omnimodal world model for physical AI, delivering real-time, multi-view vision understanding for smart infrastructure, robots, and autonomous systems. As a lightweight, cost-efficient 4B-parameter model, it can be readily customized into world-action models tailored to specific robot embodiments.
Aetina is proud to be among the first launch partners to support NVIDIA Jetson T3000 and T2000, and will share further details on DeviceEdge AIE-KT fan-based and AIE-PT fanless system availability, specifications, and developer support as the launch date approaches.
For more information on Aetina’s edge AI computing portfolio, please visit www.aetina.com.
