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The AT-IPCWG005 is a medical edge computer equipped with NVIDIA RTX A5000/RTX A4500/RTX A4000 GPU cards. It complies with medical electrical equipment standards EN60601-1-2:2015, EN60601-1:2014, and FCC: Part 18 Class B (excluding add-on cards). It is equipped with protective installation terminals, and an optional capture card is available (SDI/HDMI/DVI).

The AT-IPCFG004-PoE4 is a fanless industrial PC equipped with two AI chips, the 'Hailo-8 AI Processor', and serves as a base model that can be customized or used for OEM purposes. By incorporating two AI chips, it supports multi-AI algorithms. Depending on the type of data sources being handled, such as images, audio, and time series, as well as the intended applications like classification, depth estimation, object recognition, face detection, and posture estimation, the optimal algorithm can be selected and applied in a versatile manner. Additionally, it features four PoE ports that comply with IEEE802.3at, providing up to 25.5W across all four ports and up to 30W per port, allowing for direct power supply to PE devices, including IP cameras, from the AI processing edge PC.

The AT-IPCFG000-PoE4 is a fanless industrial PC equipped with Hailo's AI chip, the 'Hailo-8 Deep Learning Processor', and serves as a base model that can be customized or used for OEM purposes. It boasts a performance of 26 TOPS and executes AI inference at the edge in real-time, with low latency and high efficiency. This industrial PC is equipped with a dust filter and is suitable for deployment in production environments. Additionally, it features four PoE ports that comply with IEEE802.3at, providing up to 25.5W across all four ports and up to 30W per port, allowing for direct power supply to AI processing edge PCs for PE devices, including IP cameras.

Analog Tech Co., Ltd. has obtained ISO 9001 and ISO 14001 certifications as part of our efforts towards quality and environmental initiatives through CSR activities. We will continue to recognize that our business activities, aligned with our corporate philosophy, contribute to solving various social issues and to environmental sustainability. We will sincerely engage in quality and environmental management system activities, as well as support and participate in social environmental initiatives. Our commitment to quality and the environment through CSR activities www.analogtech.co.jp/company/csr/

The Hailo-8 Evaluation Development Kit 2 is a development environment equipped with four AI chips, designed for implementing parallel high-speed processing and multi-AI algorithms. By utilizing the four AI chips for parallel processing, it supports a maximum processing capability of up to 104 TOPS, approaching that of data center-class GPUs. The power consumption of the chip handling this 104 TOPS performance is only 25W. To develop AI applications, a workstation with the SDK installed is required separately; please request it along with the evaluation development kit if needed.

Hailo is a chip manufacturer established in 2017 by members of the Israeli Defense Forces' elite technology unit, developing high-performance AI processors for edge devices. The AI chip 'Hailo-8 Deep Learning Processor' is a chip with an architecture specialized for AI processing developed by Hailo. **Features of the AI chip 'Hailo-8 AI Processor':** 1. With top-class AI processing performance of 26 TOPS on a single chip at a power efficiency of 3 TOPS/W, it expands the overall AI processing performance and capabilities of the system by using modules with multiple chips in parallel. 2. It supports operating environments from -40°C to 85°C. By combining it with high environmental performance IPC, it enables AI implementation in various field applications. 3. The supply period for the chip itself is planned to be up to 10 years from the time of sale, making it suitable for various industrial applications that require long-term supply. 4. It supports not only Linux (Ubuntu) but also execution environments on Windows and Docker.

The AT-IPCFG004 is a fanless industrial PC equipped with two AI chips, the 'Hailo-8 AI Processor', and serves as a base model that can be customized or used for OEM purposes. By incorporating two AI chips, it supports multi-AI algorithms. Depending on the type of data sources being handled, such as images, audio, and time series, as well as the applications for which you want to train the data sources—such as classification, depth estimation, object recognition, face detection, and pose estimation—the optimal algorithm can be selected and applied in a multi-faceted manner.