Nvidia CEO Jensen Huang Discusses Accelerated Computing with Stratechery’s Ben Thompson
Nvidia’s CEO, Jensen Huang, recently spoke at the GTC 2026 keynote in San Jose, outlining the evolution of accelerated computing in the context of artificial intelligence (AI). Huang has participated in multiple interviews with Stratechery over the previous years, with significant discussions revolving around Nvidia’s role in AI development and the expansion of their CPU business.
Nvidia’s Growth and Approach to Accelerated Computing
During his keynote, Huang revisited the importance of CUDA, the parallel computing platform Nvidia launched two decades ago. He emphasized that AI is set to utilize existing tools in innovative ways. The goal, as he elaborated, is to accelerate software applications to meet the fast-paced demands that AI will impose.
New Partnerships and AI Factories
- IBM Partnership: Huang highlighted a new partnership with IBM, illustrating Nvidia’s intent to extend its influence across various industries.
- AI Factories: Key to Nvidia’s vision is the establishment of AI factories worldwide, which require substantial investment in infrastructure, totaling around $50-60 billion for each setup.
The investment isn’t solely for chip production; it encompasses extensive systems architecture needed for efficient AI operation. Huang noted that accelerated computing is more than just hardware; it involves a complete ecosystem, including extensive software libraries and developer support.
Advancements in AI Technology
Huang remarked on significant advancements within the AI landscape over the past year. Key improvements in reason, grounding, and a reduction in hallucinations have enhanced AI model utility. He posited that these changes have allowed AI systems to generate real economic value.
CPUs in the Era of AI
Interestingly, despite his prior critiques, Huang acknowledged the importance of CPUs, stating that Nvidia now sells CPUs to complement its GPU offerings. This shift illustrates a broader strategy to create a robust computing environment. By incorporating high-performance CPUs, Nvidia aims to prevent bottlenecking, ensuring maximum efficiency in AI-related tasks.
The Global AI Landscape and Competitive Challenges
Huang expressed concerns over Nvidia’s strategic position amid global competition, particularly with China. He emphasized the urgency of maintaining leadership in AI technologies across all layered components—power, chips, infrastructure, models, and applications.
- U.S. Competitiveness: Huang noted the need for a cohesive American technology stack to remain competitive against rapidly advancing foreign technologies.
- Influence of Political Climate: The CEO also criticized the proliferation of fear-driven narratives in Washington, which could hinder technological advancement.
As AI technologies evolve, Nvidia continues to define its role not merely as a hardware provider, but as an integrated technology partner focused on fostering innovation across numerous sectors.
