Aetina Introduces AIE-KT78/68 for Integrated AI Perception, Decision-Making and Control in Robotics
The new edge AI systems support local multimodal generative AI, LLM, VLM and VLA model execution while connecting high-resolution sensors with motors, joints and actuators through high-bandwidth interfaces and EtherCAT control.
www.aetina.com
Aetina Corporation
, a leading edge AI solution provider and an accelerator of AI infrastructure, today announced the general availability of its DeviceEdge AIE-KT78 and AIE-KT68 flagship edge AI systems. Powered by NVIDIA Jetson Thor, both new systems integrate NVIDIA Blackwell architecture's high-performance AI compute, high-bandwidth sensor connectivity, and deterministic industrial control into a compact edge system — purpose-built for Collaborative Robots (Cobots), humanoid robots, and next-generation autonomous machines — helping developers perceive, reason, decide, and act in unison in real-world environments.
As robots evolve from fixed-routine automation toward context-aware, autonomous decision-making, systems must simultaneously process multiple high-resolution sensor streams, run large multimodal models, and maintain real-time, deterministic control over motors, joints, and external actuators. Facing this rapidly escalating compute demand, existing edge platforms delivering only a few hundred TOPS are struggling to keep up.
AIE-KT78 is powered by the NVIDIA Jetson T5000 module with 128GB of 256-bit LPDDR5X memory, delivering up to 2,070 FP4 TFLOPS of AI performance; AIE-KT68 is powered by the NVIDIA Jetson T4000 module with 64GB of 256-bit LPDDR5X memory, delivering up to 1,200 FP4 TFLOPS — striking a balance between performance, power consumption, and system cost. Both systems support on-device execution of multimodal generative AI, large language models, vision-language models, and Vision-Language-Action (VLA) models, reducing cloud latency and strengthening data control.
From Perception to Action: Sensor Fusion Meets Real-Time Decision-Making
The AIE-KT78/68 enables robots to run advanced VLA models locally, integrating visual perception, language understanding, and action generation into a single decision-making pipeline that interprets environmental context and responds in real time. To handle such data-intensive perception workloads, the AIE-KT Series simultaneously integrates QSFP28 connectivity (delivering up to 4x25Gbps of bandwidth depending on configuration) and dual RJ45 10GbE ports, enabling high-speed processing of massive real-time data streams from high-resolution cameras, 3D LiDAR, radar, depth cameras, IMUs, and various industrial sensors — while supporting up to 8 GMSL2 camera inputs to provide the high-bandwidth data foundation robots need for multi-view environmental perception and spatial understanding.
A dedicated RJ45 1GbE EtherCAT port functions as an independent EtherCAT Master, using microsecond-level synchronization to tightly connect high-level AI inference with underlying motors, joints, sensors, and actuators — consolidating perception, decision-making, and deterministic control within a single system. For collaborative robots, this architecture enhances the flexibility to safely work alongside people and quickly switch between tasks; for humanoid robots, it supports more complex spatial awareness and continuous motion decision-making. It also reduces the need for additional control hardware and cross-platform integration, simplifying the system architecture for cobots, humanoid robots, industrial robotic arms, and advanced autonomous machines — helping businesses accelerate the transition from proof-of-concept to real-world deployment.
Rugged Connectivity and Flexible Expansion Built for Real-World Deployment
The AIE-KT78/68 integrates compute performance, industrial interfaces, and thermal design into a compact system just 80mm thick, supporting a wide 9–48VDC input range and stable operation across −25°C to +55°C. The system is equipped with USB 3.2, isolated digital I/O, and M.2 expansion slots. It runs Linux with the full NVIDIA AI software stack, including NVIDIA JetPack 7, NVIDIA CUDA, NVIDIA TensorRT, NVIDIA DeepStream, NVIDIA Holoscan, and NVIDIA Isaac ROS, helping developers optimize and deploy multimodal inference, computer vision, sensor fusion, and robotics applications.
“The competitive edge for cobots and humanoid robots has shifted from the compute performance of a single model to whether a system can integrate perception, reasoning, decision-making, and action in real time in real-world environments,” said Richard Hung, Vice President of Product Division at Aetina. “The AIE-KT78/68 transforms the powerful compute capability of NVIDIA Jetson Thor into a compact, mass-production-ready system. As an NVIDIA Elite Partner, we combine over a decade of edge AI engineering experience with a fully validated peripheral ecosystem, providing end-to-end technical support — from mechanical design and thermal engineering to BSP and system integration — to help developers and system integrators reduce integration risk and total cost of ownership, accelerate the path from proof-of-concept to scaled deployment, and further realize the return on their automation investment.”
AIE-KT78 and AIE-KT68 are available to ship now. For more product information, please visit the AIE-KT78/68 product page
