Last mentioned: Mar 22, 2026
Revenue Target
Deadline for the projected $1 trillion in Blackwell and Rubin architecture sales.
FTC Review Deadline
Anticipated window for the FTC to decide on a formal challenge or approval of the merger.
Senate Inquiry
Senators Warren and Blumenthal issue a formal query to Nvidia regarding the deal's impact on competition.
Beijing Approval
Reports confirm Beijing has approved H200 sales and Nvidia is adapting specialized inference tech for China.
China Market Adaptation
Reports emerge that Nvidia is adapting Groq technology for the Chinese market following Beijing's H200 approval.
GTC 2026 Keynote
Jensen Huang unveils the $1 trillion forecast and the Vera Rubin architecture.
GTC Conference Keynote
Jensen Huang announces the $1 trillion revenue target and the 'inference inflection.'
GTC 2026 Keynote
Jensen Huang raises the revenue opportunity forecast to $1 trillion through 2027.
Acquisition Announced
Nvidia reveals plans to acquire Groq for $20 billion to bolster its inference capabilities.
Production Restart
Jensen Huang confirms the supply chain is 'fired up' for China-compliant chips.
Earnings Update
Nvidia reiterates a $500 billion opportunity for Blackwell and Rubin chips.
Earnings Call Forecast
Nvidia reiterates a $500 billion revenue opportunity through 2026.
Earnings Forecast
Nvidia reiterates a $500 billion revenue opportunity through 2026.
License Approval
U.S. government grants export licenses for modified H200 chips to China.
Groq Licensing Deal
Nvidia licenses Groq technology for $17 billion to bolster inference capabilities.
Groq Licensing Deal
Nvidia licenses technology from startup Groq for $17 billion to enhance inference speed.
Groq Licensing Deal
Nvidia licenses technology from startup Groq in a deal valued at $17 billion.
Groq Licensing
Nvidia signs a deal to license Groq technology and hires key startup executives.
$5T Milestone
Nvidia becomes the first company to reach a $5 trillion market capitalization.
$5 Trillion Milestone
Nvidia becomes the first company to reach a $5 trillion market capitalization.
Nvidia and Alphabet have emerged as the primary beneficiaries of the AI revolution by controlling end-to-end ecosystems from custom silicon to agentic software. While Nvidia expands its moat through the acquisitions of Groq and SchedMd, Alphabet maintains a unique advantage through its decade-long investment in Tensor Processing Units (TPUs).
Nvidia and Alphabet are emerging as the primary beneficiaries of the AI infrastructure boom by building vertically integrated stacks that span from proprietary silicon to advanced software frameworks. While Nvidia expands its reach into inference and agentic AI through strategic acquisitions like Groq and SchedMd, Alphabet leverages its decade-long investment in TPUs to maintain independence from the GPU supply chain.
As the AI market shifts from training to inference and agentic systems, Nvidia and Alphabet have emerged as the premier long-term plays for a $5,000 investment. Nvidia is expanding its hardware moat through strategic acquisitions like Groq and SchedMd, while Alphabet leverages its decade-long lead in custom TPU silicon to maintain vertical independence.
U.S. Senators Elizabeth Warren and Richard Blumenthal have formally questioned Nvidia's proposed $20 billion acquisition of AI chip startup Groq. The inquiry focuses on potential antitrust violations and the further consolidation of the semiconductor market under Nvidia's near-monopoly.
U.S. Senators Elizabeth Warren and Richard Blumenthal have officially queried Nvidia’s proposed $20 billion acquisition of AI chip startup Groq, citing concerns over market consolidation. The inquiry signals a tightening regulatory environment for Big Tech’s expansion into the specialized AI hardware sector.
U.S. Senators Elizabeth Warren and Richard Blumenthal have formally queried Nvidia’s proposed $20 billion acquisition of AI chip startup Groq. The lawmakers are raising alarms over potential market consolidation and the stifling of competition in the critical AI inference hardware sector.
U.S. Senators Elizabeth Warren and Richard Blumenthal have formally questioned Nvidia’s proposed $20 billion acquisition of AI chip startup Groq, citing potential antitrust violations. The inquiry signals a deepening regulatory crackdown on Big Tech's dominance in the critical artificial intelligence infrastructure market.
As AI data center spending is projected to surpass $700 billion this year, the market is shifting focus from general-purpose GPUs to custom silicon and specialized networking. While Nvidia remains the dominant force in training, competitors like Broadcom are gaining ground by optimizing for the high-volume inference market.
As the AI sector matures, investors are looking beyond Nvidia toward specialized silicon and networking leaders. Broadcom and Alphabet are emerging as high-upside alternatives as the industry pivots from model training to cost-efficient inference at scale.
Nvidia has reportedly received clearance from Chinese authorities to sell its high-end H200 AI chips, marking a significant shift in the regulatory landscape. Simultaneously, the company is adapting specialized inference technology to maintain its competitive edge in the restricted Chinese market.
Nvidia is shifting its strategic focus toward the AI inference market, signaling a transition from the initial model-building phase to mass-market deployment. This move aims to solidify the company's dominance as enterprises move from training large language models to running them at scale.
Nvidia has resumed manufacturing its H200 AI chips specifically for the Chinese market after securing necessary U.S. export licenses. CEO Jensen Huang confirmed the move while maintaining a separate $1 trillion revenue forecast for the company's next-generation Blackwell and Rubin architectures through 2027.
Nvidia CEO Jensen Huang announced a massive $1 trillion revenue opportunity for AI chips through 2027, doubling previous estimates. The company is pivoting toward 'inference computing' with new Vera Rubin processors and a $17 billion technology licensing deal with startup Groq.
Nvidia CEO Jensen Huang has doubled the company's projected AI chip revenue opportunity to $1 trillion through 2027, citing a massive shift toward real-time inference computing. The announcement, made at the GTC developer conference, highlights a strategic pivot to maintain dominance against rising competition from custom silicon and traditional rivals.
Nvidia CEO Jensen Huang has projected a $1 trillion revenue opportunity for AI chips through 2027, doubling previous estimates as the company pivots toward real-time inference computing. The announcement includes a $17 billion technology licensing deal with startup Groq to maintain dominance against custom silicon from Big Tech rivals.
Nvidia CEO Jensen Huang has doubled the company's revenue opportunity forecast to $1 trillion through 2027, citing a massive shift toward real-time AI inference. The strategy is bolstered by a $17 billion licensing deal with startup Groq to defend against custom silicon from Big Tech rivals.
A new paradigm in 'Intelligent Hardware' design is emerging, focusing on the seamless transition from high-level AI concepts to optimized hardware configurations. This shift emphasizes hardware-software co-design to meet the escalating computational demands of next-generation generative models.