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NVIDIA plans to launch its Rubin AI supercomputer in late 2026, designed to integrate six chips for improved efficiency and scalability in large-scale AI workloads. The platform aims to reduce GPU requirements by up to four times and decrease token inference costs by 90%, though it faces challenges related to energy consumption and dependence on NVIDIA's ecosystem. Rubin is expected to support advanced applications in natural language processing and autonomous systems, enhancing organizational capabilities.