Foxconn launches AI factory powered by Nvidia supercomputing cluster

Foxconn, the company best known for assembling other people’s gadgets, has launched an AI factory built around an Nvidia DGX supercomputing cluster. The world’s most famous contract manufacturer is no longer just building the machines that power AI. It is putting them to work on its own models and its own production lines. What Foxconn actually built The cluster is an Nvidia DGX SuperPOD running on the chipmaker’s Blackwell architecture. Think of a SuperPOD as a prepackaged data center: a large set of Nvidia servers networked so they behave like one very large computer. Specifically, Foxconn is using DGX GB200 systems. GB200 is Nvidia’s Blackwell-generation platform, the successor to the H100 chips that powered much of the first wave of the generative AI boom. The performance gap between the two generations is the headline number. Foxconn’s GB200 setup trained 120 billion parameter models 2.48x faster than its earlier H100-based systems did. The cluster also chewed through 1 trillion tokens in just 12 days. At its peak, the system hit 4,900 TFLOPS of throughput. From chatbot to factory floor The raw compute feeds into FoxBrain, Foxconn’s in-house large language model. Foxconn repor...