An advanced inference performance AI system with a compact chassis equipped with two NVIDIA T4s, serving as an edge AI computing platform.
A box-type computer equipped with two NVIDIA T4 GPUs, featuring a compact chassis measuring 225mm in width, 292mm in depth, and 140mm in height, and implementing 16GB of GPU memory (GDDR6). Each GPU board consumes 70W, providing excellent performance per watt, enabling high-speed processing with nanosecond-level precision required for edge computing. This system serves as an edge AI computing platform, processing data exchanged between cloud and industrial control system networks, reducing communication costs by transmitting only the necessary data, and allowing installation in environments such as factories due to its robust chassis. It achieves real-time processing through improved latency. The inference engine is equipped with the "NVIDIA T4 Tensor Core GPU," capable of supporting performance from FP32 to FP16, INT8, and even INT4 precision, delivering up to 40 times the performance of a CPU. This makes it suitable for AI systems that require advanced inference capabilities, such as security monitoring, digital transformation, and appearance inspection devices/systems.
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basic information
【Basic Specifications】 - Equipped with 2 Turing generation GPUs "NVIDIA T4" - 6 PoE ports - 3 LAN ports - 6 USB 3.0 ports - 2 COM ports - 19V to 36V DC-in - Includes 280W (24V) AC adapter - Equipped with 16 DIO (8 DI, 8 DO) - Capable of mounting 1 x 2.5" removable disk 【Excellent Heat Dissipation Mechanism for Cooling High-End GPUs and Ensuring Stable Operation】 To implement the passively cooled NVIDIA T4 in a compact chassis, sufficient airflow for heat dissipation is necessary. When the GPU temperature rises, thermal throttling can occur, leading to a decrease in processing speed. The "EDG-INT4-G2" enables stable operation by incorporating a GPU blower fan and a mesh structure exhaust port that efficiently directs the heat generated by the NVIDIA T4 to the outside air.
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"Realizing an Edge AI Computing Platform" By performing primary processing on data exchanged between the cloud and industrial control systems and only communicating the necessary data, we reduce communication costs and enable installation in environments such as factories with a highly durable casing. Real-time processing is achieved through improved latency. The inference engine is equipped with the "NVIDIA T4 Tensor Core GPU," which supports performance from FP32 to FP16, INT8, and even INT4 precision, delivering up to 40 times the performance of a CPU. This performance is suitable for AI systems that require advanced inference capabilities, such as security monitoring, digital transformation (DX), and appearance inspection devices/systems.
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Company information
Narasaki Sangyo Co., Ltd. "Functional Materials Division" specializes in high-performance material contract processing. The materials we handle fall into "five categories": 1. Ceramics/Glass 2. Metals 3. Engineering Plastics 4. Carbon 5. Surface Treatment We offer a wide range of services, and if you provide us with a single production drawing, we can deliver various materials and surface treatments as a one-stop solution. We cater to everything from general-purpose to specialty materials, including high-precision, fine, electrical discharge, laser processing, as well as surface treatments such as coating, precision cleaning, and blasting. Our particular strength lies in high-precision and short-lead-time processing of ceramics. By machining from pre-fired materials, we achieve short lead times for ceramics that traditionally take several months. We handle a wide range of ceramics, including machinable ceramics like Hotovel, as well as fine ceramics such as alumina and zirconia, and non-oxide ceramics like silicon carbide, silicon nitride, and aluminum nitride. We are also actively engaged in proposing cost reductions for overseas ceramics and other international materials. We can accommodate various contract processing projects, from prototype development starting with a quantity of one to mass production.
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