Detailed narrative
AI Demand and Infrastructure Buildout
The surge in AI demand is driving a global infrastructure buildout, supported by a diverse set of customers including hyperscalers, AI labs, AI natives, enterprises, and sovereign entities. The cloud industry backlog now exceeds $2 trillion, with CapEx by the top 5 hyperscalers projected to reach nearly $800 billion in 2026 and $1.3 trillion in 2027. This demand is fueled by the increasing complexity and utility of AI agents, which require significantly more compute than human interaction.
Full-Stack AI Factory Platform Expansion
NVIDIA's revenue opportunity per gigawatt has significantly expanded across product generations, from approximately $18 billion with Hopper to $25 billion with Blackwell, and now to $40 billion with VeraRubin. The VeraRubin platform integrates VeraCPU, Ruben GPU, NVLink, InfiniBand, Ethernet, and GrokLPU, enabling extreme co-design for ex-factor performance gains. This full-stack approach allows customers to utilize the infrastructure across the entire AI lifecycle, from data creation to agentic inference.
Strategic Investments and Partnerships in AI Infrastructure
NVIDIA is making strategic investments in Frontier AI labs, committing nearly $50 billion, and partnering with leading capital providers (Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, KKR) to establish financing platforms that will raise over $500 billion for AI infrastructure. A key partnership with SoftBank Energy will host NVIDIA compute at its Portsmouth Campus, supporting 4.25 gigawatts of AI factory capacity for OpenAI, which has committed to 12 gigawatts of NVIDIA compute through 2030.
Growth in Non-Hyperscaler Segments (ACIE)
The ACIE segment, encompassing sovereign AI, regional neo clouds, enterprise edge, and air gap data centers, is a major growth driver, increasing 35% sequentially and tripling year-over-year in Q2. This segment is expected to represent roughly half of NVIDIA's data center business. NVIDIA is facilitating the growth of neo clouds globally through partnerships and a revenue-sharing model, where NVIDIA provides a take-or-pay commitment on capacity in exchange for a share of rental revenue.
Memory Pricing and Gross Margin Outlook
Extreme memory pricing, driven by the AI build-out, is expected to impact gross margins. Q3 FY27 GAAP and non-GAAP gross margins are projected to be 74% (±50 bps), declining from 75% in Q2. Margins are anticipated to bottom in Q4 FY27 at 71% to 72% before recovering to 72% to 73% in fiscal year 2028, as executed price increases take effect in Q1 FY28. Management emphasized transparency regarding this temporary headwind📎.
CPU and Networking Business Expansion
NVIDIA's Grace CPU has achieved over $5 billion in trailing 12-month revenue. The next-generation Vera CPU is now in full production, with shipments underway to lead partners including AWS, and is expected to more than double CPU revenue in FY28. The networking business also reported a record quarter, with revenue growing 18% sequentially, and Spectrum-X Ethernet experiencing 2.6x year-over-year growth, contributing to NVIDIA's position as a leading network company.