Aetina introduces Edge AI platform for physical AI and robotics
Aetina has announced the AIB-AT series, a next- generation edge AI platform powered by NVIDIA Jetson Thor modules. Designed to meet the rapidly growing demand for high-performance, low-latency edge intelligence in emerging Physical AI applications, the AIB- AT series marks a significant expansion of Aetina’s DeviceEdge portfolio and represents a major step forward in delivering production-ready computing platforms for Physical AI and robotics.
The AIB-AT series includes the AIB-AT78 powered by NVIDIA Jetson T5000 module and the AIB-AT68 powered by NVIDIA Jetson T4000 module. Built on the NVIDIA Blackwell GPU architecture, both platforms deliver AI compute density in a compact 140 mm × 165 mm form factor. This design enables deployment in space-constrained systems such as humanoid robots, autonomous warehouse vehicles, surgical robots, agricultural drones, and utility inspection robots.
The AIB-AT series, leveraging the advanced NVIDIA Jetson Thor platforms, unlocks real-time reasoning for general robotics and physical AI with a high level of performance. With up to 2070 FP4 TFLOPS of AI compute and 128 GB of memory, the platform delivers up to 7.5X higher AI performance compared to the previous generation, supporting complex workloads such as multimodal perception, sensor fusion, and generative AI inference.
This level of performance allows developers and system integrators to build sophisticated robotic systems—including humanoids, advanced medical devices, and autonomous machines—that require deterministic, low-latency processing at the edge.
Aetina has engineered the AIB-AT series specifically for the demanding requirements of industrial robotics and autonomous systems. A defining differentiator of the AIB-AT series is its native engineered with dual RJ45 10GbE ports, enabling high-throughput and low-latency AI data exchange, and with one dedicated RJ45 1GbE EtherCAT support for deterministic motion control, Aetina enables robotics developers to consolidate perception, decision-making, and control into one compact, production-ready system.
Beyond control convergence, the AIB-AT series delivers sensor and expansion support tailored for physical AI workloads. High-speed QSFP28 connectivity, optimised for NVIDIA Holoscan, enables stable, low-latency sensor streaming, while a 120-pin MIPI interface supports up to 8x GMSL cameras for advanced multi-view perception. Additional M.2 expansion slots provide PCIe Gen5 NVMe storage, wireless connectivity, and optional 4G/5G with 1PPS function for precision navigation and global time synchronisation.
Designed for real-world industrial deployment, the platform supports a 9–48 V wide input voltage range and operates reliably across –25°C to 80°C, ensuring consistent performance in demanding environments such as factories, warehouses, healthcare facilities, and outdoor autonomous systems.
NVIDIA Jetson Thor represents a new class of robotic computing platforms, purpose-built for generative reasoning and multimodal sensor processing. The AIB-AT series supports the full NVIDIA AI’s open models, open-source frameworks and libraries, including NVIDIA Isaac, NVIDIA Metropolis, and NVIDIA Holoscan, as well as agentic AI workflows such as NVIDIA Blueprint for video search and summarisation (VSS). From Vision Language Action (VLA) models like the open NVIDIA Isaac GR00T N robot foundation models to open, reasoning VLMs like NVIDIA Cosmos Reason, the AIB-AT series provides developers with a powerful platform foundation, enabling a seamless cloud-to-edge deployment experience and accelerating the implementation of physical AI innovations.
