Nvidia's Jensen Huang on why DeepSeek's new model will need '100 times more computing'

Core Insights - The introduction of DeepSeek's R1 model is expected to significantly impact the AI industry, requiring more computational resources than previously anticipated [1][2] - CEO Jensen Huang highlighted the model's unique capabilities, including its open-sourced reasoning approach and ability to verify answers, which sets it apart from traditional AI models [2] - The AI market is experiencing a shift in focus from generative AI to reasoning models, indicating a broader trend in technological development [3] Company Developments - Nvidia's CEO discussed partnerships with major companies such as Dell, HPE, Accenture, ServiceNow, and CrowdStrike, showcasing Nvidia's commitment to advancing AI infrastructure [3] - The company experienced a significant stock drop of 17% in late January, resulting in a loss of nearly $600 billion, due to investor concerns over DeepSeek's model potentially outperforming competitors [2] Industry Trends - The global computing capital expenditures are projected to reach$1 trillion by the end of the decade, with a significant portion allocated to AI development [3][4] - The opportunity for companies in the AI sector is substantial, given the anticipated growth in infrastructure needs as the industry evolves [4]