Huang highlighted Nvidia’s breadth of innovations, from cutting-edge game graphics and upgraded networking to autonomous-vehicle partnerships, and a new AI-inference chip co-developed with Groq for the Vera Rubin system, all underscored by ambitious market forecasts.

Analysts noted by TechCrunch that stock-market hesitation stems from questions about AI’s societal impact and the timing of return on investment, even as near-term demand remains strong and Nvidia posted substantial year-over-year revenue growth.

Nvidia is seeing major enterprise commitments, including Amazon planning to buy up to a million GPUs and related AI infrastructure for AWS by 2027, signaling ongoing enterprise adoption despite market nerves.

Industry observers say, even with concerns about an AI bubble, Nvidia remains a foundational infrastructure player for many sectors, effectively positioning the broader market as orbiting around its platform.

Huang framed Nvidia as a platform company with a vast ecosystem, suggesting access to a large share of global industry and reinforcing confidence in its strategic position amid stock volatility.

Huang projected substantial orders, citing potential purchase orders totaling about $1 trillion for Blackwell and Vera Rubin chips by the end of 2027.

Nvidia’s GTC keynote generated Silicon Valley excitement but left Wall Street investors cautious about AI’s future trajectory and the possibility of a market bubble.