Hailo-8 powered AI acceleration modules for high-efficiency vision AI applications

18-02-2025 | Advantech | Semiconductors

Advantech has unveiled its latest AI acceleration modules, the EAI-1200 and EAI-3300, powered by Hailo-8 AI processors. These modules supply AI performance of up to 52 TOPS while achieving more than 12 times the power efficiency of comparable AI modules and GPU cards. Designed in standard M.2 and PCIe form factors, the modules can be seamlessly integrated with diverse x86 and ARM-based platforms, allowing quick upgrades of existing systems and boards to incorporate AI capabilities.

With these AI acceleration modules, developers can run inference efficiently on the Hailo-8 NPU while handling application processing primarily on the CPU, optimising resource allocation. The modules are paired with user-friendly software toolkits, including the Edge AI SDK for seamless integration with HailoRT, the Dataflow Compiler for converting existing models, and TAPPAS, which provides pre-trained application examples. These features accelerate the development of edge-based vision AI applications.

The EAI-1200 is an M.2 AI module powered by a single Hailo-8 VPU, supplying up to 26 TOPS of computing performance while consuming approximately 5W of power. An optional heatsink supports operation in temperatures ranging from -40C to 65C, assuring easy integration. This cost-effective module is designed to bundle with the company's systems and boards, such as the ARK-1221L, AIR-150, and AFE-R770, enhancing AI applications, including baggage screening, workforce safety and AMRs.

The EAI-3300 is a PCIe AI acceleration card supplied with dual Hailo-8 VPUs, providing 52 TOPS of AI processing power while consuming up to 15W. Its low-profile design ensures easy integration into various chassis configurations, while its optimised cooling solution permits reliable operation in temperatures ranging from -40C to 70C. The module is compatible with the company's systems and boards such as the AIR-510, AIMB-279, and ARK-3534D, making it perfect for demanding AI applications like medical imaging analysis, traffic monitoring, and defect inspection.

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By Seb Springall

Seb Springall is a seasoned editor at Electropages, specialising in the product news sections. With a keen eye for the latest advancements in the tech industry, Seb curates and oversees content that highlights cutting-edge technologies and market trends.