Nvidia CEO Jensen Huang unveils new Rubin AI chips at GTC 2025

Nvidia CEO Jensen Huang unveils new Rubin AI chips at GTC 2025

  • 18.03.2025 18:35
  • whec.com
  • Keywords: AI

Nvidia CEO Jensen Huang unveiled new AI chips, Blackwell Ultra and Vera Rubin, at GTC 2025. He highlighted AI's progression from perception to agentic AI and revealed a $1 trillion revenue target by 2028.

Nvidia NewsNVDAsentiment_satisfiedGMsentiment_satisfied

Estimated market influence

Nvidia

Nvidia

Positivesentiment_satisfied
Analyst rating: Strong buy

Announced new AI chips and future products; predicted significant growth in AI industry; revealed advancements in agentic AI; expected to reach $1 trillion in data center revenue by 2028; partnered with General Motors for self-driving cars; introduced Halos system for automotive safety.

General Motors

General Motors

Positivesentiment_satisfied
Analyst rating: Buy

Will integrate Nvidia technology into their new fleet of self-driving cars, indicating a partnership that could boost GM's autonomous driving capabilities and market position.

Context

Analysis of Nvidia GTC 2025 Keynote by Jensen Huang

Product Announcements

  • Blackwell Ultra: Next-generation GPU architecture set for release in the second half of 2025.
  • Vera Rubin AI Chip: Successor to Blackwell, launching late 2026.
  • Rubin Ultra: To be introduced in 2027.
  • AI Progression: Highlighted advancements from perception to agentic AI, emphasizing reasoning capabilities.

Market Trends

  • GPU Demand Surge: Top four cloud service providers show increased demand for Nvidia's GPUs.
  • Revenue Projection: Data center infrastructure revenue expected to reach $1 trillion by 2028.

Business Impact

  • Strategic Partnerships: General Motors will integrate Nvidia technology into their self-driving vehicles, enhancing autonomous driving capabilities.
  • Halos System: Introduced as an AI solution focused on automotive safety, with every line of code safety-assessed, positioning Nvidia as a leader in this sector.

Competitive Dynamics

  • Semiconductor Race: Nvidia's focus on AI chips underscores competition in the semiconductor industry, particularly against companies like AMD and Intel.
  • Autonomous Driving Leadership: Emphasis on safety features may differentiate Nvidia in automotive applications.

Strategic Considerations

  • Safety First Approach: Commitment to code safety assessment strengthens trust with customers in critical sectors like automotive.
  • Long-Term Growth: Projection of $1 trillion revenue by 2028 indicates sustained investment and innovation in AI and data center technologies.

Long-Term Effects

  • Sustained Revenue Growth: Expected growth in data center revenue suggests continued dominance in the AI chip market.
  • Innovation Pipeline: Sequential release of advanced GPU architectures (Blackwell, Rubin) ensures a steady product pipeline for future growth.

Regulatory Implications

  • Potential Focus Areas: While not explicitly detailed, regulatory scrutiny on semiconductor supply chains and AI safety could impact Nvidia's operations.