Nvidia’s CEO Jensen Huang publicly reiterated that the company’s letter of intent to invest up to $100 billion in OpenAI is nonbinding and will be executed in increments. Speaking to reporters in Taipei, Huang described suggestions that Nvidia was unhappy with OpenAI’s strategy as “nonsense.” He confirmed that Nvidia remains “very happy and honored” by the invitation to participate and plans to invest “one step at a time,” while exercising financial discipline and monitoring competitive dynamics in the AI infrastructure space. 13F filings for the third quarter reveal that Q3 Asset Management increased its Nvidia position by 1,504.9%, adding 19,232 shares to hold 20,510 shares worth $3.8 million, making it the firm’s ninth-largest position. Across all institutional investors, Nvidia represents 65.3% ownership of the float. Notable new entrants include Harbor Asset Planning, Winnow Wealth and EDENTREE Asset Management, each initiating positions in the $28,000–$54,000 range. MarketBeat data show four firms with a ‘strong buy’ consensus and an average price target near $264, underscoring bullish analyst sentiment. SEC disclosures show that company insiders sold 1.61 million shares valued at $293 million over the past quarter, including transactions by EVP Debora Shoquist (80,000 shares for $14.3 million) and Director Mark A. Stevens (350,000 shares for $63.6 million). Post-transaction, Shoquist retains 1.49 million shares and Stevens 7.05 million shares, reflecting less than a 5% reduction in their holdings. Insiders currently retain 4.17% of total shares outstanding, signaling continued alignment with long-term value creation despite tactical portfolio adjustments. In late January, Nvidia committed an additional $2 billion to CoreWeave, increasing its ownership to 11.5%. CoreWeave, a neocloud provider specializing in GPU-accelerated AI workloads, now carries a backlog of customer contracts totaling $55.6 billion. Nvidia’s funding will support CoreWeave’s goal of deploying 5 gigawatts of AI data-center capacity by 2030. Analysts note that the partner’s high leverage to large-language-model training workloads could drive a quadrupling of revenue to approximately $20 billion by end-2027, though execution risks such as high leverage and rising interest expense remain.