Rugged AI Supercomputer for Avionics

| Aerospace Testing

GPGPU Fanless Supercomputer based on NVIDIA Jetson System on Module

Avionics system provides high-speed video acquisition and high-performance AI capabilities

Aitech Systems has released the A178-AV, a rugged GPGPU AI supercomputer available with the powerful NVIDIA Jetson AGX Xavier System-on-Module.

Its Volta GPU with 512 CUDA cores and 64 Tensor cores reaches 32 TOPS INT8 and 11 TFLOPS FP16 at a high level of energy efficiency, providing all the power needed for AI-based local processing where needed, next to the sensors. The A178-AV also features two dedicated NVDLA (NVIDIA Deep-Learning Accelerator) engines providing an interface for deep learning applications.

Dan Mor, Director of Products & Solutions, of Aitech, said, “AI in avionic electronics continues to grow in complexity. A small form factor AI system such as the A178-AV provides powerful, efficient, and reliable computing ranging from low power, high-speed video acquisition, and avionic communication interfaces to high-performance AI capabilities and a real-time operating system, tailored to meet the unique needs of aircraft operations across rugged environments.”

The video input provides avionics systems with a reliable, high-bandwidth, low-latency, and cost-effective method for transmitting video data, essential for tasks such as navigation, surveillance, pilot assistance, and situational awareness in aircraft operations.

MIL-STD-1553 and ARINC 429 protocols offer users a flexible, reliable, deterministic, and cost-effective product for avionics systems, making the supercomputer well-suited for critical aerospace applications where safety, performance, and interoperability are paramount.

Jonathan Newell
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