Nvidia GTC: Jensen Huang talks up new products, but the stock falls

Nvidia GTC: Jensen Huang talks up new products, but the stock falls

  • 18.03.2025 21:00
  • marketwatch.com
  • Keywords: Nvidia, Jensen Huang

Nvidia CEO Jensen Huang showcased new products like Dynamo OS for AI factories and next-gen GPUs during GTC, but the company's stock fell despite strong interest in its fast-paced innovation. Analysts noted mixed reactions to product roadmaps and investor expectations.

Nvidia NewsNvidia ProductsNVDAsentiment_dissatisfiedCSCOsentiment_satisfiedTMUSsentiment_satisfiedGMsentiment_dissatisfiedMBLYsentiment_dissatisfied

Estimated market influence

Nvidia

Nvidia

Negativesentiment_dissatisfied
Analyst rating: Strong buy

Stock fell despite strong product announcements

Cisco

Cisco

Positivesentiment_satisfied
Analyst rating: Buy

Collaboration with Nvidia on AI-native networks

T-Mobile

T-Mobile

Positivesentiment_satisfied
Analyst rating: Buy

Partnership with Nvidia for 6G AI networks

General Motors

General Motors

Negativesentiment_dissatisfied
Analyst rating: Buy

Stock decline despite partnership with Nvidia

Mobileye

Mobileye

Negativesentiment_dissatisfied
Analyst rating: Buy

Stock decline unrelated to Nvidia's performance

Context

Analysis of Nvidia GTC Event and Market Implications

Key Facts and Data Points:

  • Nvidia's Stock Performance:

    • Shares fell 2.8% after Jensen Huang's keynote, down from an initial decline of nearly 1% before the speech.
    • The stock led decliners in the Dow Jones Industrial Average.
  • Product Innovations:

    • Dynamo OS: A new operating system for AI factories, designed to optimize inference workloads.
    • Blackwell Platform: Currently in production, with Blackwell Ultra expected in the second half of 2024.
    • Rubin Chip Family: Scheduled for release in late 2026, with Rubin Ultra following in 2027.
    • Next Generation (Feynman): Named after physicist Richard Feynman, set to launch after the Rubin generation.
  • Analyst Opinions:

    • Mark Lipacis (Evercore ISI): Highlighted Nvidia's 8-year lead over competitors and its ecosystem strength.
    • C.J. Muse (Cantor Fitzgerald): Praised Nvidia's advancements but noted investor disappointment with the lack of "proof points" on market expansion.
    • Blayne Curtis (Jefferies): Suggested Rubin announcements were less impactful than expected, shifting expectations for future interconnect benefits.
  • Partnerships and Collaborations:

    • Expanded partnership with General Motors for AI-driven driver-assistance systems.
    • Collaboration with Cisco and T-Mobile to develop AI-native networks for 6G.

Market Trends and Business Impact:

  • AI Ecosystem Dominance: Nvidia's ecosystem is seen as 8 years ahead of competitors, reinforcing its leadership in the AI hardware-software market.
  • Product Cadence: The company's rapid product launches (e.g., Blackwell, Rubin) demonstrate a fast development cycle, but investors may be seeking clearer evidence of growth opportunities.
  • Stock Sentiment: Despite impressive technological advancements, investor sentiment was negative, with the stock declining despite strong product announcements.

Competitive Dynamics:

  • AMD and Intel Competition: Nvidia's focus on AI and high-performance computing positions it ahead of competitors like AMD and Intel, which are still catching up in terms of ecosystem integration.
  • Partnerships as a Strategic Edge: Collaborations with major players like GM, Cisco, and T-Mobile underscore Nvidia's strategic approach to expanding its AI applications across industries.

Long-Term Effects and Strategic Considerations:

  • AI Factory OS (Dynamo): The introduction of Dynamo could redefine how AI systems are managed, potentially creating new market opportunities.
  • Next-Generation Roadmap: The planned Feynman generation after Rubin indicates Nvidia's long-term commitment to innovation in AI hardware and software integration.

Regulatory Implications:

  • No significant regulatory developments were mentioned in the text, but future advancements in AI may attract increased scrutiny from regulators globally.