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Performance was driven by the inflection of inference demand and the fastest product ramp in company history for Blackwell systems.

Management attributed the 92% year-over-year data center growth to the transition of hyperscale workloads from CPU to GPU-based accelerated computing.

The company introduced a new reporting framework (Hyperscale vs. ACIE) to better reflect diverse growth drivers across AI factories, sovereign clouds, and industrial sectors.

Strategic positioning centers on an 'extreme codesign' approach, delivering the industry's lowest token cost and highest ROI for AI factory operators.

The 'ACIE' segment (AI Clouds, Industrial, and Enterprise) is expanding rapidly as organizations require integrated, full-stack solutions they can operate without custom chip design.

NVIDIA's share of frontier AI compute is increasing through deepened partnerships with major labs like Anthropic and OpenAI, whose models are co-designed for Blackwell.

Management expressed full confidence in achieving $1 trillion in combined Blackwell and Rubin revenue from 2025 through calendar 2027.

The company expects to become a leading CPU supplier, with visibility to nearly $20 billion in total CPU revenue this year driven by the new Vera architecture.

Production shipments of the VeraRubin platform are on track to commence in the second half of this year, starting in Q3.

Guidance for Q2 assumes sequential growth will be driven primarily by data center demand, while excluding any potential revenue from China due to regulatory uncertainty.

Long-term projections suggest AI infrastructure spending could reach $3 trillion to $4 trillion annually by the end of the decade as Agentic AI proliferates.

The quarterly dividend was increased from $0.01 to $0.25 per share, alongside a new $80 billion share repurchase authorization.

Management flagged continued uncertainty regarding China, stating they have not included any China data center compute revenue in their outlook despite approved licenses for H200.

Operating expenses are expected to grow in the upper forties percentage range for the full year, driven by intensified R&D and internal usage of AI productivity tools.

Physical AI and robotics revenue exceeded $9 billion over the last 12 months, representing a significant emerging market beyond traditional data centers.

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Management explained that AI is becoming too diverse for a single category, requiring a split between hyperscalers and the 'ACIE' segment (AI natives, sovereign, and enterprise).

The segmentation highlights that while hyperscalers build their own stacks, the rest of the market requires NVIDIA's fully integrated, 'rentable' platform solution.

Jensen Huang asserted that NVIDIA is gaining share in inference because its architecture supports the entire lifecycle from pre-training to agentic orchestration.

He noted that every major frontier model company is adopting VeraRubin from the start, which was not the case with previous generations.

Management clarified that the $20 billion CPU revenue target refers to standalone CPU sales, which address a new $200 billion TAM.

Vera is designed as an 'agentic CPU' to handle the orchestration and tool-use 'harness' that surrounds AI models, while GPUs handle the actual 'thinking' or inference.

NVIDIA expects to grow faster than hyperscale CapEx because it serves a massive secondary market of regional clouds and enterprises that do not design their own chips.

Management believes the 'second category' (ACIE) will eventually be larger than the hyperscale segment due to the scale of the global industrial economy.