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Polytechnic Recco's official WeChat news today. Recently, the prices of Nvidia's Jetson series products have been significantly adjusted. Among them, the price of the Jetson AGX Orin module was raised from $899 to $1,799, an increase of 100%. In fact, due to the rapid expansion of demand for edge AI applications and the tightening supply of some upstream components, some models in the Jetson series have experienced tighter supply since last year. Price changes and supply fluctuations of core computing platforms directly affect BOM costs and delivery pace of enterprise products. Polytechnic Recco launched the “Mountain and Sea” series of intelligent computing modules for edge AI scenarios. This series of products is built on domestic CPUs and GPUs, and has high-performance AI inference, multi-task parallel processing and rich interface expansion capabilities, and can achieve long-term stable operation in complex environments. The Shanhai T100 provides up to 240 TOPS INT8 AI computing power, and the FP32 floating-point computing power reaches 17.4 Tflops, which can support complex deep learning model deployment and large-scale concurrent inference tasks. In terms of storage configuration, 128GB eMMC local storage effectively reduces dependence on external storage and enhances device integration and deployment flexibility.
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Polytechnic Recco's official WeChat news today. Recently, the prices of Nvidia's Jetson series products have been significantly adjusted. Among them, the price of the Jetson AGX Orin module was raised from $899 to $1,799, an increase of 100%. In fact, due to the rapid expansion of demand for edge AI applications and the tightening supply of some upstream components, some models in the Jetson series have experienced tighter supply since last year. Price changes and supply fluctuations of core computing platforms directly affect BOM costs and delivery pace of enterprise products. Polytechnic Recco launched the “Mountain and Sea” series of intelligent computing modules for edge AI scenarios. This series of products is built on domestic CPUs and GPUs, and has high-performance AI inference, multi-task parallel processing and rich interface expansion capabilities, and can achieve long-term stable operation in complex environments. The Shanhai T100 provides up to 240 TOPS INT8 AI computing power, and the FP32 floating-point computing power reaches 17.4 Tflops, which can support complex deep learning model deployment and large-scale concurrent inference tasks. In terms of storage configuration, 128GB eMMC local storage effectively reduces dependence on external storage and enhances device integration and deployment flexibility.
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