According to Sawyer Merritt, Nvidia has introduced its next-generation Rubin chips, which are five times more powerful than their Blackwell predecessors and are already in production (source: Sawyer Merritt on X, Jan 5, 2026). CEO Jensen Huang highlighted the Rubin pod architecture, featuring 1,152 GPUs across 16 racks, with each rack containing 72 Rubin chips. This significant leap in AI hardware performance is set to accelerate large-scale AI model training and inference, creating substantial opportunities for enterprises in data centers, cloud AI services, and generative AI workloads. Nvidia's rapid production timeline positions it as a leader in delivering high-performance AI infrastructure for global business applications.

According to Sawyer Merritt, Nvidia has unveiled its next-generation Rubin chips, which Elon Musk described as a 'rocket engine for AI.' The Rubin platform offers up to a 10x reduction in inference token cost and achieves a 4x reduction in required GPUs for training Mixture of Experts (MoE) models compared to the previous Blackwell platform. This means significantly lower hardware investments and operating costs for enterprises deploying large-scale AI models. Additionally, the Rubin chips deliver 5x improved power efficiency and system uptime, powered by Spectrum-X Ethernet Photonics technology. These advancements position Nvidia as the gold standard for AI infrastructure, providing substantial business opportunities for companies aiming to scale frontier AI models with higher efficiency and lower total cost of ownership (Source: Sawyer Merritt, Twitter).