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Nvidia And Foxconn Join Forces To Pave The Way For AI-Enhanced Factories

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Taipei

Graphics powerhouse Nvidia has announced a strategic collaboration with Hon Hai Technology Group, also known as Foxconn, to usher in the AI industrial revolution by creating advanced AI factories. Foxconn will integrate Nvidia’s cutting-edge technology to establish a new breed of data centers, catering to a broad spectrum of applications. These include the digital transformation of manufacturing and inspection processes, the development of AI-powered electric vehicle and robotics platforms, and the expansion of language-based generative AI services. Foxconn’s Chairman and CEO, Young Liu, emphasized that this venture involves a joint effort to construct these AI factories. He expressed, Nvidia and Foxconn are building these factories together. We will be helping the whole industry move much faster into the new AI era. Nvidia’s CEO, Huang, highlighted the emergence of a new form of manufacturing – the production of intelligence. He referred to data centers as AI factories, and Foxconn, as the world’s largest manufacturer, has both the expertise and the scale to establish AI factories on a global scale. This collaboration marks an expansion of their decade-long partnership to accelerate the AI industrial revolution. Working in close partnership with Nvidia, Foxconn is set to create numerous systems based on Nvidia’s central processing units (CPUs), graphics processing units (GPUs), and networking solutions. These systems will be made available to Foxconn’s global customer base, enabling them to establish and operate their AI factories, optimized with Nvidia’s AI Enterprise software. AI factories equipped with Nvidia’s platforms empower Foxconn to conduct AI training and inference, enhance factory workflows, and simulate processes in a virtual environment before implementing them in the physical world. Simulating the entire robotics and automation pipeline from end to end offers Foxconn a pathway to operational efficiency improvements, reducing both time and costs.

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