アナログ・テック List of Products and Services

1. Equipped with two Hailo AI chips, supporting multi-AI algorithms -------------------------------------------------------------------- By incorporating multiple AI chips, it is possible to apply multiple AI algorithms simultaneously to the input source. By applying different types of learning models, such as "area recognition and object recognition" or "object recognition and pose estimation," to the input source at the same time, the AI inference capabilities are enhanced. 2. IP65 waterproof performance -------------------------------------------------------------------- Featuring dust and waterproof performance compliant with IP65, and adopting a fanless design with excellent heat dissipation, it can be deployed in various environments, including outdoors. Various interfaces equipped with industrial waterproof connectors compatible with M12 ensure adaptability to harsh environments. Additionally, it is possible to replace components with industrial-grade parts such as industrial SSDs.

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1. Support for Multi-AI Algorithms In deep learning, various algorithms have been developed, and depending on the 'type of data source being handled' such as images, audio, time series, and the intended application like 'classification', 'depth estimation', 'object recognition', 'face detection', and 'pose estimation', the optimal algorithm is selected and applied accordingly. Generally, in edge inference, a single learning model is executed for one image source. With AT-Hailo8-Multi, by equipping multiple Hailo-8 AI chips, it has become possible to 'apply multiple algorithms simultaneously to a single source'. 2. Linear Expansion of Inference Performance by Parallel Processing of Four Chips By parallel processing four chips, it supports a maximum processing capability of 104 TOPS, approaching that of data center-class GPUs. The power consumption of the chip processing this 104 TOPS performance is only 25W.

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1. Equipped with two Hailo AI chips, supporting multi-AI algorithms The AT-IPCFG004 can apply multiple algorithms to a source simultaneously by incorporating several Hailo-8 AI chips. By applying different types of learning models, such as area recognition and object recognition, or object recognition and pose estimation, to the input source at the same time, it expands the AI inference capabilities. 2. Equipped with Hailo's Hailo-8 AI processor Hailo is a chip manufacturer that develops high-performance AI processors for edge devices, established in 2017. The Hailo-8 AI processor developed by the company places data pools and computing units in a very small area, achieving low latency and low power consumption processing without using external interfaces or I/O. ● High-class AI processing performance with power efficiency of 3 TOPS/W, achieving 26 TOPS of high performance per chip (when used as a standalone chip or with an M.2 module) ● Executes AI inference in real-time, with low latency and high efficiency ● Hailo's SDK allows for easy porting of neural network models

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1. Equipped with Hailo's AI chip 'Hailo-8 AI Processor' Hailo is a chip manufacturer established in 2017 that develops high-performance AI processors for edge devices. The AI chip 'Hailo-8' developed by the company places data pools and computing units in a very small area, achieving low latency and low power consumption processing without using external I/F or I/O. It reduces the area to one-fifteenth compared to general-purpose GPUs, achieving 20 times the power efficiency, and achieves 1.1 times the performance in FPS comparison. ● High performance of 26 TOPS per chip (chip alone, when using M.2 module) with top-class AI processing performance at 3 TOPS/W power efficiency ● Executes AI inference at the edge in real-time, with low latency and high efficiency ● Easily and quickly ports neural network models with Hailo's data flow compiler and support for standard AI frameworks 2. Equipped with four PoE ports Supports IEEE802.3at, providing up to 25.5W across four ports and up to 30W for a single port. It allows direct power supply to IP cameras from a PC.

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■Equipped with two 'Hailo-8 AI processors' in a single fanless chassis■ The 'AT-IPCFG004' is an industrial computer with excellent environmental performance, equipped with two high-performance AI chips for industrial applications. It can expand AI inference capabilities by simultaneously applying different learning models, such as area recognition and object recognition, or object recognition and pose estimation, to input sources. ■Equipped with two high-performance AI chips from Hailo, supporting multi-AI algorithms■ In AI deep learning, depending on the 'type of data source' being handled, such as images, audio, or time series, and the 'analysis purpose' of what you want to learn from that data source, appropriate algorithms are selected and applied each time for tasks like classification, depth estimation, object recognition, face detection, and pose estimation. Generally, in edge inference, one learning model is executed for one image source. With the AT-IPCFG004, by incorporating multiple Hailo-8 processors, it has become possible to 'apply multiple algorithms simultaneously' to the source.

• IoT

1. Equipped with two Hailo AI chips, supporting multi-AI algorithms The AT-IPCFG004 can apply multiple algorithms simultaneously to a source by incorporating several Hailo-8 AI chips. By applying different types of learning models, such as area recognition and object recognition, or object recognition and pose estimation, to the input source at the same time, it expands the AI inference capabilities. 2. Equipped with Hailo's Hailo-8 AI processor Hailo is a chip manufacturer that develops high-performance AI processors for edge devices, established in 2017. The Hailo-8 AI processor developed by the company places data pools and computing units in a very small area, achieving low latency and low power consumption processing without using external interfaces or I/O. ● High-performance of 26 TOPS per chip (standalone or when using M.2 module) with top-class AI processing performance at 3 TOPS/W power efficiency ● Executes AI inference in real-time, with low latency and high efficiency ● Easily ports neural network models using Hailo's SDK

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It is a wall-mounted industrial computer. Long-term supply is possible, operating temperature range -25°C to 65°C, equipped with a 2.5-inch hot-swap bay, features an isolated DIO interface, and supports DC input of 9 to 50V.

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1. Diverse expansion capabilities. 【Full-length / Full-height add-on cards can be installed】 Full-length / full-height add-on cards can be installed in a compact chassis, allowing for various I/O and function expansion boards tailored to customer applications. 【Optional modules】 Various optional modules such as a 2.5" Drive Swap-bay and mirroring units can be added. 【Standard equipment】 Equipped with GPIO as standard. 2. Installable on-site with a dust filter. The AT-IPCW001 can be deployed in harsh environments such as production sites, strongly promoting edge computing in various production settings. It excels in environmental durability and can be introduced in locations where rack mounting is difficult. It strongly promotes edge computing in applications requiring environmental durability, such as in medical, retail, and transportation sectors.

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1. IP65 Waterproof Performance Equipped with IP65-rated dust and waterproof performance, featuring an excellent heat dissipation design in a fanless chassis, making it suitable for various outdoor environments. It supports heavy-duty environments with various interfaces equipped with industrial waterproof connectors compatible with M12. It is possible to replace parts with industrial-grade components such as industrial SSDs. 2. Base Model Available for Customization and OEM If the specifications do not match, we can customize the incompatible parts according to the situation, aiming to shorten the specification design process and reduce the lead time for customer delivery. We will start by examining the base chassis that closely aligns with the customer's required specifications.

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We have packaged a development environment to easily start developing AI applications using the Hailo-8 AI Processor. The evaluation development kit includes PC hardware equipped with the Hailo-8 Mini-PCIe module (with a performance value of 13 TOPS) as the execution environment for running Hailo-8. ■ Deployment toolchain compatible with industry-standard frameworks Supports model conversion from industry-standard frameworks to Hailo format, converting the bit configuration of models using the latest quantization algorithms to Hailo's configuration. Allocates hardware resources and user network resources to the physical resources of the Hailo device. Compiles the model into Hailo binary, loads the binary, and executes inference on the Hailo target device. The SDK supports both standalone inference that allows direct access to the device and TensorFlow integrated inference that facilitates integration with existing environments.

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This is an industrial PC equipped with NVIDIA RTX A4000, featuring an integrated touch panel. It offers long-term supply, has a 27-inch TFT LCD, and complies with IP54 standards on the panel side. A capture card is also available as an option.

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This is a 4U rack-mounted industrial computer equipped with an NVIDIA GPU card. It offers long-term supply capability, has a depth of 550mm, supports NVIDIA A16/A30/A40/A100 (up to 3 cards can be installed), supports PCI-Express Gen4, and has Intel Optane Persistent Memory support (optional).

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This is a 4U rack-mounted industrial computer equipped with an NVIDIA GPU card. It offers long-term supply, has a depth of 408mm, supports RTX A4000/A5000/A6000 (up to 3 cards can be installed), supports PCI-Express Gen4, and supports Intel Optane Persistent Memory (optional).

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High-reliability/high-performance 4U rack-mounted industrial computer, industrial PC. Long-term supply available, depth of 408mm, capable of implementing full-length/full-height add-on cards, with a wide variety of options focusing on versatility (2.5" drive swap-bay, mirroring unit).

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Standard 4U rack-mounted industrial computer, industrial PC. A low-cost standard model available for long-term supply, ivory color for factory automation, with a wide variety of options focusing on versatility (2.5" drive swap-bay, mirroring unit), and capable of accommodating full-length/full-height add-on cards. Secures expansion drive space with 3 x 5.25-inch bays.

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This is a 2U rack-mounted industrial computer equipped with NVIDIA GPU cards. It offers long-term supply capability, supports the installation of three NVIDIA RTX A2000 cards, PCI-Express Gen4 support, and Intel Optane Persistent Memory support (optional).

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It is a highly versatile rack-mounted industrial computer. It offers long-term supply, equipped with one PCI Express (x16) slot, supports triple monitor output, and features a rich variety focused on versatility (2.5" drive swap bay, mirroring unit).

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This is a wall-mounted industrial computer. It offers long-term supply capability, operates within a temperature range of -25°C to 65°C, is equipped with a 2.5-inch hot-swap bay, features an isolated DIO interface, supports DC input from 9 to 50V, and has a DIN rail bracket option.

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This is a fanless industrial computer for vehicle use. It has obtained E-Mark and EN-50155 certifications, is capable of long-term supply, features an external switch interface for embedded applications, operates within a temperature range of -20°C to 65°C, uses SSDs with PLP functionality, is equipped with an isolated DIO interface, and supports DC input from 9 to 50V.

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The AT-GPU series features the AMD EPYC 7002 series and supports NVIDIA's latest Ampere architecture GPU with PCI Express 4.0. It is a cost-effective limited production model of a supercomputer designed for AI. ■ PCI Express Gen 4 Support Equipped with the AMD EPYC 7002 series, it supports six "PCI Express Gen 4 (x16)" and two "PCI Express Gen 4 (M.2)" connections. It supports various high-speed communications, including NVIDIA's latest GPUs, RAID, SSDs, and high-speed NICs. ■ NVIDIA® Ampere Support It supports high-end GPUs for workstations and data centers, such as the "NVIDIA RTX A6000" and "A100-40G," as well as budget-friendly (gaming-oriented) GPUs like the "NVIDIA Geforce RTX 3080" and "NVIDIA Geforce RTX 3090." It accelerates various AI and HPC applications, reducing the time required for AI training and inference.

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It is a compact fanless industrial computer. Long-term supply is possible, supports external switch interfaces for embedded applications, equipped with 4 PoE (IEEE802.3at), operating temperature range of -20°C to 65°C, uses SSD with PLP function, equipped with a 2.5-inch hot-swap bay, features an isolated DIO interface, and supports DC input of 9 to 48V.

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It is a compact fanless industrial computer. Long-term supply is possible, supports external switch interfaces for embedded applications, operating temperature range -25°C to 55°C, equipped with SSD featuring PLP functionality, includes isolated DIO interface, supports DC input of 9 to 48V, and SIM support (optional).

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It is a compact fanless industrial computer. Recommended industrial PC for Edgecross, capable of long-term supply, equipped with an external switch interface for embedded applications, features 2 PoE ports, includes a 2.5" SSD swap tray (with lock), operating temperature range of -40°C to 65°C, utilizes SSD with PLP functionality, equipped with isolated DIO interface, supports DC input of 9-48V, and SIM compatible (optional).

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It is a compact fanless industrial computer. It offers long-term supply capability, features an external switch interface for embedded applications, operates in a temperature range of -40°C to 65°C, utilizes SSD with PLP functionality, is equipped with an isolated DIO interface, supports DC input of 9 to 48V, and has SIM compatibility (optional).

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• IoT
• Measurement and Analysis Equipment

It is a compact fanless industrial computer. It offers long-term supply capability, equipped with an external switch interface for embedded applications, operating temperature range of -40°C to 65°C, utilizes SSD with PLP functionality, features an isolated DIO interface, supports DC input of 9 to 48V, and is SIM compatible (optional).

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• IoT
• Measurement and Analysis Equipment

It is a compact fanless industrial computer. Long-term supply is possible, equipped with an external switch interface for embedded applications, operating temperature range of -20°C to 50°C, uses SSD with PLP function, equipped with isolated DIO interface, supports DC input of 9 to 30V, and SIM compatible (optional).

• Other PCs and OA equipment
• IoT
• Measurement and Analysis Equipment

It is a compact fanless industrial computer. Long-term supply is possible, equipped with an external switch interface for embedded applications, operating temperature range of -20°C to 50°C, uses SSD with PLP function, supports DC input of 9 to 30V, and SIM compatible (optional).

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This is a compact industrial computer equipped with NVIDIA RTX A5000/RTX A4500/RTX A4000 GPU cards. It complies with medical electrical equipment standards EN 60601-1-2:2015, EN60601-1:2014, and FCC: Part 18 Class B (excluding add-on cards), offers long-term supply capability, is equipped with protected installation terminals, and has optional capture cards available (SDI/HDMI/DVI).

• IoT
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This is a compact industrial computer that can be equipped with NVIDIA RTX A4500 or A4000 GPU cards. It offers long-term supply capability, features an external switch interface for embedded applications, uses SSDs with PLP functionality, is equipped with an isolated DIO interface, and supports DC input of 9 to 48V.

• IoT
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1. Compatible with both passive and active thermal solutions for all NVIDIA Tesla/Quadro/A Series GPU cards. With excellent cooling performance, it can accommodate various NVIDIA GPUs. This device can support high-end data center GPUs such as the Quadro RTX 8000 and 6000 series, as well as the A series, using a passive thermal solution. Additionally, this device is suitable for on-premises edge applications within edge computing that interacts with the cloud, allowing for the processing of highly confidential data analysis at the edge, not only for inference but also for data analysis that may raise privacy concerns in the cloud. 2. High expandability allows for the addition of various functional boards, starting with image input boards. Thanks to its high expandability, it is possible to enhance performance for image processing by adding Camera Link and CoaXpress boards. It is suitable for real-time image processing applications using machine vision. [Continues with "Basic Information" below]

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1. Equipped with NVIDIA Tesla T4, a high-end GPU from NVIDIA The "NVIDIA Tesla T4," which is utilized in hyperscale data centers, deep learning training, inference, machine learning, data analysis, graphics, and various fields requiring high processing power. 2. Industrial GPU computer with dust filter, suitable for production sites Despite being wall-mounted, it achieves compactness through excellent cooling design. It comes standard with a dust filter and can be reconfigured with industrial-grade parts such as industrial SSDs as an option. With superior environmental resistance, it can be introduced in locations where rack mounting is difficult. It is also optimal for image processing and AI inference in applications requiring environmental durability, strongly promoting edge computing in the field. 3. Customization and OEM available Options for general interfaces such as RS232/422/485 and DIO, which are required in industrial systems, are available. This model can provide configuration proposals based on specific requirements and OEM supply. Please consult our consultants regarding integration into the products you manufacture. [Continues with "Basic Information" below]

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This is a compact industrial computer equipped with an NVIDIA RTX A2000 GPU card, an industrial PC. It has a 2.5" drive bay for HDD/SSD (compatible with industrial SSDs). It features an isolated DIO interface and allows for the addition of a PCIe (x1) card. A DIN rail can be optionally installed, allowing for combination with industrial power supplies.

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This is a compact industrial computer equipped with an NVIDIA T1000 GPU card, an industrial PC. It has a drive bay for 2.5" HDD/SSD (compatible with industrial SSDs). It is equipped with isolated DIO and can optionally be fitted with a DIN rail, allowing for combination with industrial power supplies.

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1. Hailo's AI chip Hailo-8 Deep Learning Processor equipped Hailo is a chip manufacturer that develops high-performance AI processors for edge devices, founded in 2017 by members of the elite technology unit of the Israel Defense Forces. The Hailo-8 is a chip with an architecture specialized for AI processing developed by Hailo. As a result, it can place data pools and computing units in a very small area, enabling processing with low latency and low power consumption without using external interfaces or I/O. It reduces the area compared to general-purpose GPUs by a factor of 15, achieving 20 times the power efficiency, and has achieved 1.1 times the performance in FPS comparisons. ● High performance of 13 TOPS per chip (when using Mini-PCI module) with best-in-class AI processing performance at 3 TOPS/W power efficiency ● Executes AI inference at the edge in real-time, with low latency and high efficiency ● With Hailo's data flow compiler and support for standard AI frameworks, developers can easily and quickly port neural network models.

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1. Equipped with Hailo's AI chip Hailo-8 Deep Learning Processor Hailo is a chip manufacturer that develops high-performance AI processors for edge devices, founded in 2017 by members of an elite technology unit of the Israel Defense Forces. The Hailo-8 is a chip designed specifically for AI processing, developed by Hailo. As a result, it can place data pools and computing units in a very small area, enabling low-latency and low-power processing without the need for external interfaces or I/O. Compared to general-purpose GPUs, it reduces the area by 1/15 and achieves 20 times the power efficiency, while achieving 1.1 times the performance in FPS comparisons. ● High performance of 13 TOPS per chip (when using Mini-PCI module) with best-in-class AI processing performance at 3 TOPS/W power efficiency ● Executes AI inference at the edge in real-time, low-latency, and high-efficiency ● With Hailo's data flow compiler and support for standard AI frameworks, developers can easily and quickly port neural network models.

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1. Equipped with NVIDIA's Volta AI Architecture system-on-module NVIDIA Jetson Xavier NX, featuring 384 CUDA cores and 48 Tensor cores, capable of executing multiple state-of-the-art neural networks in parallel at up to 21 TOPS. Existing NVIDIA customers can implement deployments that directly inherit their existing training data and development assets. 2. 8-port PoE (Power Over Ethernet) for image AI. Equipped with a total of 75W of 8-port PoE, allowing direct power supply to cameras connected via Ethernet ports. 3. Operating support from -25°C to 55°C. Supports operation in a wide temperature range from -25°C to 55°C. 4. Base model customizable for OEM. If specifications do not match, customization of non-conforming parts according to the situation can shorten specification design and reduce lead time for customer delivery. We will start by examining base enclosures that are close to the customer's required specifications.

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1. Equipped with Hailo's AI chip 'Hailo-8 AI Processor' Hailo is a chip manufacturer established in 2017 that develops high-performance AI processors for edge devices. The AI chip 'Hailo-8' developed by the company places data pools and computing units in a very small area, achieving low latency and low power consumption processing without using external I/F or I/O. It reduces the area to one-fifteenth compared to general-purpose GPUs, achieving 20 times the power efficiency, and achieves 1.1 times the performance in FPS comparisons. ● High performance of 26 TOPS per chip (standalone or when using M.2 module) with top-class AI processing performance at 3 TOPS/W power efficiency ● Executes AI inference at the edge in real-time, with low latency and high efficiency ● With Hailo's data flow compiler and support for standard AI frameworks, developers can easily and quickly port neural network models.

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■Challenges of Implementing Image AI and Edge AI■ Recently, the development of various image AI and edge AI applications has progressed, moving into the device implementation phase. In this phase, unlike in offices or data centers, devices are required to have strict environmental durability, which presents challenges for implementing edge AI. Additionally, the data processed at the edge continues to increase in volume and real-time demands, leading to a linear rise in component performance, resulting in extreme heat generation from CPUs, GPUs, and AI chips, which adds to the challenges of device implementation. In edge AI, to enhance processing performance, it is crucial to address the heat dissipation of high-heat-generating components such as GPUs and AI chips while ensuring extremely stringent environmental durability. This involves temperature control, vibration mitigation, and mechanical design, which are essential elements for implementing image AI and edge AI applications in various settings. ■High Environmental Durability Edge AI Platform■ Analog Devices provides a platform for implementing AI in harsh field environments such as 'high temperature/low temperature, water, high humidity, and dust' by equipping AI chips in industrial PCs that excel in environmental durability.

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■What is an AI Chip■ An AI chip is a semiconductor designed to accelerate AI computational processing. In image processing and AI processing, GPUs are becoming almost standardized for training purposes. However, the specifications differ between training and inference, and inference can be realized using not only GPUs but also FPGAs and ASICs. In particular, inference for edge applications is implemented in devices that process AI on-site alongside IoT, necessitating considerations for adoption based on not only "computational performance" but also "low power consumption," "wide operating temperature," and "long supply duration" for embedded implementations in devices. ■Introduction of AI Chips Suitable for Industrial Applications■ Hailo's AI chip boasting low power consumption and high inference processing capability: 'Hailo-8 AI Processor' The Hailo-8 processor is a chip specialized for AI processing developed by Hailo. Among AI chips, it has the following features that make it particularly suitable for industrial applications: (Feature 1) AI processing with high power efficiency! Power efficiency of 3 TOPS/W (Feature 2) High environmental durability! Operating temperature range of -40°C to 85°C (Feature 3) Long-term supply planned! Expected supply duration of up to 10 years for the chip alone.

• IoT
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Our company manufactures industrial PCs and servers tailored to customer requests, and we have prepared base models that embody various customer requirements and the latest technologies in advance. If the specifications match, you can use them as they are. If the specifications do not match, we can customize the parts of the base model that do not fit according to the situation, thereby shortening the specification design process and reducing the lead time for delivery to customers. We will start by examining base chassis that are close to the customer's required specifications. If you have a chassis that closely matches your desired specifications, please feel free to consult with us. For the main lineup of base models, please refer to the basic information below.

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The AT-IPCFG series from Analog Tech deploys image AI and edge AI for harsh environments where computers struggle, such as safety management at construction, agriculture, and surveying sites, inspection sites for roads, tunnels, and bridges, vehicles like unmanned transport vehicles, and environments with high temperatures, low temperatures, high humidity, and dust. The housing, enhanced for environmental performance, is equipped with AI chips and AI modules for inference. It provides low-latency, high-speed image AI processing on edge devices, including high-resolution image processing, video processing from multiple cameras, real-time image processing, and AI inference processing. Custom and OEM supply tailored to customer applications is available, so please feel free to consult with us.

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The AT-IPCWG series is a compact wall-mounted industrial PC that can accommodate a range of NVIDIA GPUs from mid to high-end. Customization and OEM options are available to suit customer needs, so please consult our consultants. 【Features】 ■ Equipped with NVIDIA Geforce/T1000/T4/Quadro Thanks to excellent cooling performance, it can support various NVIDIA GPUs. It is compatible with the relatively affordable Geforce series for gaming, the T4 for data centers, and the Quadro series for image processing and simulation. You can also choose fanless GPUs like the T4 or passive thermal types of Quadro. ■ Expandable with various functional boards, including image input boards A chassis with enhanced expandability is available. It supports various inputs and outputs tailored to your needs, such as expanding inputs for Camera Link or CoaXpress. ■ Installable on-site with a dust filter Standard equipped with a dust filter. It has excellent environmental resistance and can be introduced even in locations where rack mounting is difficult. 【More features continue in the "Basic Information" section below】

• IoT
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• Security cameras and surveillance systems

The AT-GPU series features AMD EPYC 7002 series processors and supports NVIDIA's latest Ampere architecture GPUs with PCI Express 4.0. It is a cost-effective limited production model of a supercomputer designed for AI applications. 【Features】 ■ PCI Express Gen 4 Support Equipped with AMD EPYC 7002 series processors, it supports six "PCI Express Gen 4 (x16)" and two "PCI Express Gen 4 (M.2)" connections. It supports various high-speed communications, including NVIDIA's latest GPUs, RAID, SSDs, and high-speed NICs. 【Further features continue in the section "Basic Information" below】

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The Flex Vision-AI CONTROLLER is an analog tech control package designed to freely connect and control various systems, such as control systems, ICT, and cloud services, which have been difficult to interconnect. It features a high-performance IPC equipped with a powerful GPU for Vision-AI, enabling fast execution of image processing, AI inference, and analysis. The results of this analysis are connected to the control data of various systems for feedback. To incorporate AI image processing into various controls used in buildings, architecture and surveying, factories, plants, medical devices, and stores, it has become easy for the Flex Vision-AI CONTROLLER to either provide feedback for machine control itself or to interconnect with existing systems. Please utilize it for the development of image AI systems that require feedback to control systems. ーーーーーーーーーーーーーーーーーーーーーーーーーーー For those viewing on 【Iprosu Urban Development】, you can download the catalog at the following 【Iprosu Special Site】. ーーーーーーーーーーーーーーーーーーーーーーーーーーー

• IT Control and Services
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• Security cameras and surveillance systems

Our company proposes hardware from a neutral standpoint that is less likely to lead to vendor lock-in, starting with an understanding of your product development roadmap for computers used in a wide variety of industrial applications, while also considering potential future changes in hardware specifications. We leverage our strength in combining suitable vendors without being tied to specific component manufacturers, and by listening to your development challenges and requests, we can suggest custom industrial computers with optimal hardware configurations and support you through to mass production. Depending on your requirements, we can also offer proposals for custom chassis in small quantities. Please feel free to consult with us. For details on our consulting services, please refer to the basic information below.

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• Big Data
• IoT