NVIDIA Corporation
NVIDIA Corporation provides advanced chips, software, and full-stack AI factory platforms for AI, gaming, and autonomous systems. Its dominant Data Center segme
NVIDIA Corporation provides advanced chips, software, and full-stack AI factory platforms for AI, gaming, and autonomous systems. Its dominant Data Center segment, comprising over 92% of Q2 FY27 revenue, powers AI factories for hyperscalers, AI labs, enterprises, and sovereign customers globally, enabling intelligence and productivity. The company also offers solutions for robotics and automotive.
Source NVIDIA is experiencing 'extreme pricing conditions in memory' and 'tighter memory supply,' which are impacting gross margins. HBM is a critical component for AI accelerators, with memory costs comprising around 25% of the total cost for a Vera Rubin-based VR200 NVL72 rack and 62% of a Vera Rubin Superchip's cost. Major suppliers include SK Hynix, Samsung, and Micron.
Confidence: high
Source NVIDIA operates as a fabless company, relying on external foundries for the manufacturing of its chips. Key foundry partners include TSMC and Samsung, with TSMC also expanding its manufacturing presence in the U.S.
Confidence: high
Source Advanced packaging is essential for the performance, energy efficiency, and system-level integration required for AI infrastructure. NVIDIA has a multi-year strategic partnership with Amkor to expand advanced semiconductor packaging and test capacity, including in the U.S. TSMC is also a critical partner for advanced packaging technologies like CoWoS.
Confidence: high
Source Printed circuit board costs for Vera Rubin racks have reportedly increased by 233% due to the inclusion of additional ConnectX and midplane boards, as well as higher-layer-count designs.
Confidence: medium
Source Costs for Multilayer Ceramic Capacitors (MLCCs) have reportedly risen by 182% for Vera Rubin racks, driven by increased demand for passive components from new BlueField and ConnectX modules.
Confidence: medium
Source The cost of Ajinomoto Build-up Film (ABF) substrate, a specialized material for IC packaging, has reportedly increased by 82% for Vera Rubin racks.
Confidence: medium
Source Power supply components are contributing to the increasing bill-of-material costs for NVIDIA's Vera Rubin systems.
Confidence: medium
Source Cooling components are noted as a factor in the rising bill-of-material costs for Vera Rubin systems, reflecting the need for sophisticated thermal management in high-performance AI infrastructure.
Confidence: medium
Metric/field Combined Hyperscaler Capital Expenditure (Annual)
Cadence quarterly
Why it matters Hyperscalers are NVIDIA's largest customers, and their capital expenditure directly reflects investment in AI infrastructure, which drives demand for NVIDIA's data center products. The transcript notes CapEx by top 5 hyperscalers is expected to reach nearly $800 billion in 2026 and $1.3 trillion in 2027.
Signal to watch Increasing or sustained high levels of CapEx indicate strong demand for NVIDIA's AI compute and networking solutions.
Confidence: high
Metric/field Global Semiconductor Manufacturing Equipment Sales (Annual)
Cadence annually
Why it matters This metric reflects overall investment in semiconductor manufacturing capacity, which directly impacts NVIDIA's supply chain, particularly for advanced nodes and packaging. SEMI forecasts sales to reach $145 billion in 2026 and $156 billion in 2027.
Signal to watch Increasing sales indicate expanding capacity and potentially easing supply constraints for NVIDIA's components.
Confidence: high
Metric/field HBM Contract Price Index (Quarterly)
Cadence quarterly
Why it matters NVIDIA explicitly stated 'extreme pricing conditions in memory' are impacting gross margins. This index directly tracks the cost of High-Bandwidth Memory (HBM), a critical component for NVIDIA's GPUs. TrendForce projects HBM contract prices could rise 70% to 140% in 2027.
Signal to watch A decreasing or stabilizing trend in HBM contract prices would be positive for NVIDIA's gross margins.
Confidence: high
Metric/field Global Advanced Packaging Market Revenue (Annual)
Cadence annually
Why it matters Advanced packaging is crucial for NVIDIA's high-performance AI chips, and the market is experiencing significant growth. Yole Group forecasts the market to grow from $55 billion in 2025 to over $120 billion by 2031.
Signal to watch Sustained growth in this market indicates increasing capacity and technological advancements in a key bottleneck area for NVIDIA's products.
Confidence: high
Metric/field Global AI Venture Capital Funding (Deal Value) (Half-yearly)
Cadence half-yearly
Why it matters Global VC funding in AI indicates the health and expansion of the AI startup and lab ecosystem, a growing segment of NVIDIA's customer base (ACIE segment). AI startups raised $407 billion in H1 2026, surpassing all of 2025.
Signal to watch Increasing funding signals a robust pipeline of potential customers for NVIDIA's AI compute platforms.
Confidence: high
Metric/field Search interest for 'NVIDIA AI' (Index)
Cadence weekly
Why it matters This metric provides a real-time proxy for public and industry interest in NVIDIA's core AI business, which can precede changes in demand.
Signal to watch A rising trend indicates increasing awareness and potential demand for NVIDIA's AI solutions.
Confidence: medium
Metric/field Mentions of 'Vera Rubin' (Count, Sentiment Score)
Cadence daily
Why it matters Social media discussions, especially in tech-focused communities, can provide early signals of interest, adoption, and sentiment regarding NVIDIA's new product launches like Vera Rubin.
Signal to watch Increasing positive mentions and discussions indicate strong market reception and potential for rapid adoption.
Confidence: medium
Metric/field CHIPS Act Funding Awards (Advanced Packaging/AI Memory) (Total Value, Number of Awards)
Cadence event_driven
Why it matters Government funding for semiconductor manufacturing, particularly in advanced packaging and AI memory, can alleviate supply chain bottlenecks and strengthen domestic production, benefiting NVIDIA's component sourcing.
Signal to watch Higher funding amounts and more awards indicate a stronger commitment to improving the semiconductor supply chain.
Confidence: medium
Metric/field Search interest for 'AI Data Center' (Index)
Cadence weekly
Why it matters This reflects broader interest and potential investment in the physical infrastructure required for AI, which is a key driver for NVIDIA's data center business.
Signal to watch A rising trend suggests increasing investment and build-out of AI data centers globally.
Confidence: medium
Metric/field Stars, Forks, Commits (Cumulative)
Cadence daily/weekly
Why it matters Developer adoption and engagement with NVIDIA's foundational software platforms (CUDA) and key libraries (TensorRT-LLM, CUTLASS) are crucial for maintaining its ecosystem dominance.
Signal to watch Increasing stars, forks, and commits indicate a growing and active developer community, reinforcing NVIDIA's platform moat.
Confidence: medium
Metric/field New Data Center Construction Starts (Count, Square Footage, Gigawatt Capacity)
Cadence monthly/quarterly
Why it matters Direct, real-time observation of new data center construction provides an early indicator of AI infrastructure expansion, which drives demand for NVIDIA's GPUs and full-stack solutions.
Signal to watch An increasing number of new projects and expanding square footage/gigawatt capacity signals robust demand for NVIDIA's products.
Confidence: high
Metric/field Job Openings for 'AI Infrastructure Engineer' / 'GPU Architect' (Count, Growth Rate)
Cadence monthly
Why it matters Demand for specialized AI infrastructure talent by hyperscalers and enterprises correlates directly with their investment in and deployment of AI systems, which rely heavily on NVIDIA's hardware.
Signal to watch A rising number of job openings and sustained growth rates indicate increasing investment and build-out of AI capabilities.
Confidence: high
Metric/field NVIDIA GPU Instance Pricing (e.g., H100, A100) on AWS/Azure/GCP (Price per hour, Availability Percentage)
Cadence daily/weekly
Why it matters This provides a direct measure of real-time demand and supply dynamics for NVIDIA's GPUs in the cloud, indicating utilization rates and potential pricing power for NVIDIA's partners.
Signal to watch Increasing prices and/or decreasing availability suggest high demand and tight supply for NVIDIA's compute, reinforcing its market position.
Confidence: high
Metric/field HBM Shipments (Volume/Value) to NVIDIA's Contract Manufacturers (Tons/USD)
Cadence monthly/quarterly
Why it matters Tracking the physical flow of High-Bandwidth Memory (HBM) to NVIDIA's manufacturing partners offers insights into the availability of a critical, supply-constrained component, directly impacting NVIDIA's production capacity.
Signal to watch Increasing shipment volumes indicate improving supply conditions, which can help NVIDIA meet demand and potentially improve margins.
Confidence: high
Metric/field Active Users / Engagement Metrics for leading AI-powered Enterprise Software (e.g., Microsoft Copilot, Adobe Firefly)
Cadence monthly
Why it matters The adoption and usage of AI-powered enterprise applications directly drive demand for the underlying AI inference and training hardware, much of which is powered by NVIDIA.
Signal to watch Growing active users and increased engagement metrics signal expanding real-world AI deployment and sustained demand for NVIDIA's compute.
Confidence: high
NVIDIA's indispensable role in the accelerating AI supercycle is reinforced by record demand, driven by agentic AI and profitable token generation. The Vera Rub
NVIDIA's indispensable role in the accelerating AI supercycle is reinforced by record demand, driven by agentic AI and profitable token generation. The Vera Rubin platform is driving exceptional financial performance and a 70% FY28 revenue growth outlook, despite being supply-constrained. Expansion into diverse segments like ACIE, new Vera CPUs, and strategic financing solidify its market dominance. However, extreme memory pricing and persistent supply bottlenecks present near-term margin and growth challenges. (August 27, 2026)
NVIDIA delivered another outstanding quarter with record revenue of $96 billion, more than doubling year-over-year, and data center revenue surging 117% year-over-year. Management confidently projects approximately 70% revenue growth for fiscal 2028, even with supply constraints, indicating robust, sustained demand and strong visibility into future performance.
The Vera Rubin platform, with production shipments commenced, is expected to be NVIDIA's fastest product ramp, accounting for ~20% of Q3 data center revenue. It delivers 30x higher throughput per megawatt and 35x lower token costs, while the Vera CPU is expected to more than double revenue in fiscal '28, significantly expanding TAM and diversifying growth.
NVIDIA's full-stack AI factory platform and CUDA ecosystem are expanding market share beyond hyperscalers, with the ACIE segment (sovereigns, NeoClouds, enterprises) growing 138% year-over-year and expected to represent half of data center business. Strategic investments in Frontier AI labs and a new revenue-sharing model with NeoClouds further secure long-term demand.
NVIDIA explicitly stated a 'supply-constrained outlook' for its 70% FY28 revenue growth, with unconstrained demand significantly higher (customer forecasts point to doubling next year). Supply is expected to remain a bottleneck through the end of fiscal '28, limiting the company's ability to fully capitalize on parabolic demand.
Gross margins are under pressure from 'extreme pricing conditions in memory,' with prices expected to head 'even higher into next year.' NVIDIA expects margins to bottom in Q4 FY27 (71-72%) before settling at 72-73% in FY28, indicating a material impact on profitability despite strong revenue growth.
Geopolitical risks continue to severely limit NVIDIA's market access in China, with no data center compute revenue included in the forward outlook. Q2 Hopper 200 shipments to China were less than 1% of data center revenue and dilutive to corporate gross margins, posing a persistent long-term threat to global market share.
| Key Factor | Why It Matters | What To Watch | What It Signals | Where/How To Track | Free Alt Data | Paid Alt Data |
|---|---|---|---|---|---|---|
| Data Center ACIE Segment Revenue Growth | The ACIE segment (AI clouds, industrial, enterprise, sovereign AI) is a critical diversification driver beyond hyperscalers, expected to represent roughly half of NVIDIA's data center business. Sustained high growth confirms broader AI adoption. | Reported quarter-over-quarter and year-over-year growth rates for the ACIE segment in Q3 FY27 and management commentary on its trajectory. | Bullish: ACIE revenue growth accelerates sequentially or year-over-year, or management strengthens expectations for it to grow faster than hyperscale. Bearish: ACIE revenue growth decelerates significantly, or management expresses concerns about its expansion or market penetration. | NVIDIA's Q3 FY27 earnings call (November 17, 2026) and subsequent financial reports. | Industry reports on enterprise AI adoption; Government announcements on sovereign AI initiatives. | Thinknum: Job postings for AI roles in enterprises/startups; Sensor Tower/Apptopia: AI application download trends. |
| Vera Rubin Production Ramp and Supply Outlook | The successful and rapid ramp of Vera Rubin, NVIDIA's next-generation AI platform, is crucial for meeting insatiable AI demand and sustaining market leadership. Supply constraints will dictate the pace of revenue growth. | Vera Rubin's contribution to Data Center revenue in Q3 FY27 (expected ~20%), and management's updated commentary on the severity and duration of supply bottlenecks for Vera Rubin through FY28. | Bullish: Vera Rubin's Q3 Data Center revenue contribution exceeds 20% or management indicates effective mitigation of supply constraints. Bearish: Delays in production beyond Q3 2026 or explicit statements that supply constraints will materially limit Vera Rubin revenue in FY27 or FY28. | NVIDIA's Q3 FY27 earnings call (scheduled for November 17, 2026) and subsequent financial reports. | Industry news from semiconductor and AI publications (e.g., SemiAnalysis, AnandTech) for reports on production yields or component availability. | Supply Chain Insights: Component lead times for HBM and advanced packaging; TechInsights: Wafer fab utilization rates for TSMC. |
| Non-GAAP Gross Margin Trajectory | Gross margins are a key indicator of NVIDIA's pricing power and profitability, especially given rising memory costs and the complexity of new architectures. The updated outlook provides clarity on near-term pressure. | Reported non-GAAP gross margin for Q3 FY27 (expected 74% +/- 50 bps) and Q4 FY27 (expected 71-72%), and management's confirmation of FY28 margins settling at 72-73% due to price increases. | Bullish: Q3/Q4 gross margins meet or exceed guidance, and management confidently reiterates the FY28 stabilization. Bearish: Gross margins fall below the guided range, or management expresses further concerns about memory pricing or inability to pass on costs. | NVIDIA's Q3 FY27 earnings call (November 17, 2026) and subsequent financial reports. | Industry news on HBM pricing trends (e.g., from TrendForce, DRAMeXchange); Semiconductor industry reports on component costs. | TrendForce: HBM pricing index; Supply Chain Insights: Raw material cost tracking for semiconductor components. |
| Fiscal Year 2028 Revenue Growth Outlook | NVIDIA's preliminary FY28 revenue growth outlook provides critical long-term visibility into the AI supercycle and the company's ability to capitalize on demand, even with supply limitations. | Management's reiteration or adjustment of the 'approximately 70% revenue growth' for fiscal year 2028, and any updated commentary on the gap between unconstrained demand and supply. | Bullish: Management maintains or raises the 70% FY28 growth outlook, or indicates progress in closing the supply-demand gap. Bearish: Management lowers the FY28 growth outlook or expresses increased concern about supply limitations. | NVIDIA's Q3 FY27 earnings call (November 17, 2026) and future investor conferences. | Google Trends: 'NVIDIA AI demand' or 'AI infrastructure spending' search volume; Industry analyst reports on AI market forecasts. | Gartner/IDC: Global AI Infrastructure Spending Forecasts; Bloomberg Terminal: Consensus analyst estimates for NVDA FY28 revenue. |
| AWS GPU Deployment Commitments | A large, multi-year commitment from a major hyperscaler like AWS for millions of GPUs (Vera, Rubin) provides strong, tangible evidence of sustained demand and deepens NVIDIA's strategic partnerships. | Any updates or further details from NVIDIA or AWS regarding the deployment schedule of the additional 2 million GPUs through Q2 FY29, and the adoption of NVIDIA's full physical AI stack for warehouse robots. | Bullish: Confirmation of on-schedule deployment and successful integration of GPUs and physical AI stack, potentially leading to further expanded commitments. Bearish: Any reported delays in deployment or reduced scope of the partnership. | NVIDIA's Q3 FY27 earnings call (November 17, 2026), AWS investor calls, and joint press releases. | AWS blog posts or press releases on new AI services or infrastructure; Industry news on cloud provider CapEx. | Satellite imagery: Data center construction activity for AWS facilities; Cloud Infrastructure Tracker: GPU deployment rates in major cloud providers. |
This metric highlights NVIDIA's success in capturing demand from national AI initiatives, indicating a significant and growing new market for its full-stack AI
| Key reported metrics | ||
|---|---|---|
| Metric | Last period | Why it matters |
| Sovereign AI Revenue | >200% y/y | This metric highlights NVIDIA's success in capturing demand from national AI initiatives, indicating a significant and growing new market for its full-stack AI factory platform. It is a key diversification driver for the data center business. |
| Data Center - ACIE Revenue | $89 billion (117% y/y growth) | This segment's rapid growth, driven by NeoClouds, enterprises, and sovereign AI, demonstrates NVIDIA's successful diversification beyond hyperscalers. It expands the addressable market and reduces reliance on a few large customers. |
| Key reported metrics | Rerating thresholds | Earnings results | ||||||
|---|---|---|---|---|---|---|---|---|
| Metric | Last period | Why it matters | What's needed for rerating | Rerating context | Earnings date | Actual reported | Hit target? | Notes |
| Vera CPU Revenue | N/A | As a new $200 billion TAM, the initial revenue contribution from Vera CPUs in the next quarter (Q2 FY27) and progress towards the $20 billion full-year target will be crucial for demonstrating NVIDIA's successful diversification and expansion into the agentic AI market. | Vera CPU Revenue needs to be reported at or above $5 billion in Q2 FY27. This would demonstrate that NVIDIA is on track or exceeding the pro-rata portion of its stated full-year FY27 target of nearly $20 billion in total CPU revenue. | Achieving this threshold is crucial as it validates NVIDIA's successful diversification into the new $200 billion Total Addressable Market (TAM) for agentic AI. Strong Vera CPU revenue reinforces the company's ability to capture this market, expand its growth drivers beyond GPUs, and strengthen the overall bull case. | Not explicitly reported for Q2 FY27 | No | The company announced that its next-generation Vera CPU is in full production and shipments are underway to lead partners, including AWS starting this quarter. Management expects CPU revenue to more than double in fiscal '28, positioning NVIDIA as one of the world's leading server CPU suppliers. However, a specific revenue figure for Vera CPU for Q2 FY27 was not explicitly reported in the earnings transcript, making it impossible to determine if the $5 billion rerating trigger for the quarter was met. | |
| Data Center Revenue | 92% | This is NVIDIA's primary growth engine. Continued strong year-over-year growth, especially with the ramp of Blackwell and initial VeraRubin shipments in Q3, will confirm sustained leadership in AI infrastructure. | Data Center Revenue needs to demonstrate year-over-year growth of 100% or higher for Q2 FY27. | Achieving this validates NVIDIA's accelerating monetization of Blackwell and builds confidence in VeraRubin. It signals sustained, robust capital expenditures from hyperscalers and enterprises for AI infrastructure, reinforcing NVIDIA's market dominance and justifying its premium valuation in the ongoing AI supercycle. | $89 billion (117% y/y growth) | Yes | Data Center revenue increased 18% quarter-over-quarter to $89 billion, representing 117% year-over-year growth. This exceeded the rerating trigger of 100% year-over-year growth, validating NVIDIA's accelerating monetization of Blackwell and building confidence in VeraRubin. The surge in AI demand is driving a global infrastructure buildout, with data center revenue being a primary growth engine. | |
| Total Revenue | 85% | This metric reflects NVIDIA's overall performance and the accelerating global AI build-out. Exceeding guidance for the next quarter will signal sustained strong demand and validate the AI supercycle. | Total Revenue for Q2 FY27 (reporting on August 26, 2026) needs to exceed $92.82 billion, which is the upper end of the company's guidance of $91 billion (+/- 2%). | Exceeding this threshold validates NVIDIA's accelerating monetization of its Blackwell and Rubin platforms, reinforcing its dominance in AI infrastructure. It signals sustained hyperscaler capital expenditures and strong adoption of its full-stack systems, justifying a premium valuation and validating its long-term growth thesis. | $96 billion (106% y/y growth) | Yes | NVIDIA reported total revenue of $96 billion, which more than doubled year-over-year, representing 106% y/y growth. This significantly exceeded the upper end of the company's guidance of $92.82 billion. This strong performance validates NVIDIA's accelerating monetization of its Blackwell and Rubin platforms and reinforces its dominance in AI infrastructure. | |
Will NVIDIA be able to mitigate its significant supply constraints, particularly for Vera Rubin and memory, to meet or exceed its Q3 FY27 revenue guidance of $1
Will NVIDIA be able to mitigate its significant supply constraints, particularly for Vera Rubin and memory, to meet or exceed its Q3 FY27 revenue guidance of $108 billion (+/- 2%) and close the gap between its 70% fiscal 2028 revenue growth outlook and the 100% demand growth?
Can NVIDIA effectively manage the 'extreme pricing conditions in memory' and successfully implement price increases to ensure non-GAAP gross margins bottom within the guided 71-72% range in Q4 FY27 and stabilize at 72-73% in fiscal 2028, despite rising operating expenses?
Will the rapidly expanding ACIE segment, including sovereign AI and NeoClouds, continue to accelerate its growth trajectory, supported by NVIDIA's strategic financing and revenue-sharing models, and will the Vera CPU revenue more than double in fiscal 2028, successfully diversifying growth drivers and offsetting the continued exclusion of China data center compute revenue?
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 3 Things Management Is Most Focused On1. Meeting unprecedented AI demand and managing supply constraints: Management emphasized the 'surge in AI demand' driving a 'global infrastructure buildout' and the expectation for revenue to grow approximately 70% in fiscal 2028, explicitly stating this is a 'supply-constrained outlook' and that they are working to 'close the supply-demand gap'. Jensen Huang also mentioned the need for the 'entire supply chain to help me out here' to avoid disappointing customers. 2. Expanding market share through a full-stack AI factory platform and diverse customer segments: Management highlighted NVIDIA's '3 unique capabilities' including a 'full stack AI factory platform that is expanding our share of the data center town' and the 'CUDA ecosystem allowing us to extend AI into markets a single-chip alone can never reach'. They are focusing on growth beyond hyperscalers in the ACIE segment (sovereigns, NeoClouds, enterprises, AI start-ups) which is expected to represent 'roughly half of our data center business'. The introduction of Vera CPU and Groq 3 LPX also expands their TAM. 3. Strategic financing and partnerships to enable AI infrastructure build-outs: Management detailed investments in Frontier AI labs (nearly $50 billion) and partnerships with six leading infrastructure capital providers to raise over $500 billion of third-party capital. They also discussed a revenue-sharing structure with NeoCloud partners and securing land, power, and shell capacity for AI factories (e.g., with SoftBank Energy for OpenAI). This focus aims to address the compute limitations faced by rapidly growing AI labs and NeoClouds. | Call Takeaway & ToneThe overall takeaway is that NVIDIA delivered another exceptional quarter, with record revenue and accelerating year-over-year growth, driven by insatiable demand for AI compute across a broadening customer base. Management is highly confident and optimistic about the long-term AI supercycle, emphasizing NVIDIA's indispensable role as a full-stack AI factory platform provider. The tone was overwhelmingly bullish, despite acknowledging significant supply constraints (especially for memory) and the need for strategic financing to support the massive AI infrastructure build-out. The company's proactive guidance for fiscal 2028, even if supply-constrained, signals strong future momentum and visibility. The shift in revenue contribution towards ACIE (AI clouds, industrial, enterprise, sovereign AI) highlights a successful diversification beyond traditional hyperscalers. | Prior Quarter'S Y/Y Growth By SegmentTotal revenue: 85% y/y (accelerated to 106% in Q2 FY27). Data Center revenue: 92% y/y (accelerated to 117% in Q2 FY27). Data Center - Hyperscale revenue: 115% y/y (decelerated to 102% in Q2 FY27). Data Center - ACIE revenue: 74% y/y (accelerated to 138% in Q2 FY27). Edge Computing revenue: 29% y/y (decelerated to 27% in Q2 FY27). | 3 Things Analysts Most Pressed On (And Mgmt Responses)1. Confidence in the 70% fiscal '28 growth outlook and the gap between demand and supply: Joseph Moore asked about the confidence in the full-year guidance and the 'key constraint that separates those numbers' (70% supply vs. 100% demand growth). Jensen Huang responded that AI agents use an 'enormous amount of compute' and that NVIDIA's full-stack platform serves a diverse market (ACIE) that is 'likely to be larger over time than even what we're currently experiencing in the cloud'. He attributed the gap to the complex planning required for AI infrastructure (land, power, cooling, labor) and stated that while demand is much greater, supply allows them to 'confidently deliver 70%'. 2. Evolving inference market share, agentic AI workloads, and the role of new products (Vera, Groq): CJ Muse inquired about NVIDIA's evolving inference market share, agentic AI workloads, the growing value of TAM with new full-stack generations, and the inclusion of Groq 3 LPX. Jensen Huang explained that the 'AI life cycle is getting way more complex' and plays into NVIDIA's fungible architecture across data preparation, pre-training, post-training, and 'agentic inference'. He highlighted the increased revenue opportunity per gigawatt with Vera Rubin ($40 billion) and the benefits of a durable, fungible platform. He also expressed excitement for Groq 3 LPX for 'super high interactivity, super high-speed token generation' for high ASP services, while Vera Rubin and NVLink 72 would serve the 'vast majority of the world's data centers'. 3. Contributors to the fiscal '28 growth, impact of price increases, and the unconstrained demand: Stacy Rasgon asked for a breakdown of contributors to the 70% growth, the impact of price increases, and what the growth would be if unconstrained. Jensen Huang stated the 'unconstrained would be a lot higher' and that they are working hard to get more capacity. He broke down contributors into the 'other half of the picture' (ACIE segment) growing 100% a year, and the hyperscalers' race to bring more NVIDIA compute online due to its profitability. He also mentioned the increasing revenue opportunity per gigawatt with each new generation (Hopper $18B, Grace Blackwell $25B, Vera Rubin $40B) and the 'tremendous productivity' driving customer investment. | Revenue SegmentsTotal revenue: 106% y/y. Data Center revenue: 117% y/y. Data Center - Hyperscale revenue: >100% y/y (specifically 102% y/y from $24.2B in Q2 FY26 to $48.7B in Q2 FY27). Data Center - ACIE revenue: 138% y/y. Edge Computing revenue: 27% y/y. |
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 3 Things Management Is Most Focused On1. Ramping Blackwell and preparing for VeraRubin: Management is focused on the rapid deployment of Blackwell systems, which marked the fastest product ramp in the company's history, and is on track to commence production shipments of VeraRubin in the second half of this year, starting in Q3. They emphasize delivering the industry's lowest token cost and highest token throughput. 2. Expanding into diverse AI market segments: NVIDIA is focused on addressing growth opportunities in new submarkets like ACIE (AI clouds, industrial, enterprise) and sovereign AI, which are growing incredibly fast beyond traditional hyperscalers, and the robotic edge, which includes physical AI. 3. Introducing and deploying Vera CPU: Management is highlighting Vera, the world's first CPU purpose-built for agentic AI, as a major new growth driver that opens a brand new $200 billion TAM for NVIDIA, with nearly $20 billion in total CPU revenue expected this year. | Call Takeaway & ToneThe overall takeaway is that NVIDIA delivered an extraordinary quarter with demand going 'parabolic,' driven by the arrival and proliferation of agentic AI, which management sees as a fundamental shift where 'compute capacity is revenue and profits.' The company is experiencing unprecedented growth across its data center business, fueled by the Blackwell architecture and strong anticipation for VeraRubin. Management is highly confident and visionary, emphasizing NVIDIA's unique position as the platform for the AI era, its unmatched annual product cadence, and its expansion into new, diverse market segments (AI natives, sovereign AI, physical AI, and the new CPU market). The tone was overwhelmingly bullish, optimistic, and assertive about NVIDIA's continued leadership and long-term growth trajectory in the evolving AI landscape. | Prior Quarter'S Y/Y Growth By SegmentTotal revenue: +73% y/y (accelerated to 85% in Q1 FY27). Data Center revenue: +75% y/y (accelerated to 92% in Q1 FY27). Data Center Networking revenue: +350% y/y (decelerated to nearly tripled, or ~200%, in Q1 FY27). Data Center Computing revenue: Not explicitly reported as a separate y/y growth segment in the prior quarter's summary. Edge Computing: This is a new segment in Q1 FY27; its components in Q4 FY26 were Gaming +47% y/y, Professional Visualization +159% y/y, and Automotive +6% y/y. | 3 Things Analysts Most Pressed On (And Mgmt Responses)1. Segmentation change and the new CPU number: Analysts questioned the rationale behind the new reporting segmentation (Hyperscale, ACIE, Edge Computing) and the competitive differences between these segments, as well as the 'surprising CPU number' mentioned. Management (Jensen Huang) explained that the segmentation better reflects the diverse nature of AI and computing across hyperscale clouds, AI natives/enterprise/industrial/sovereign AI, and the robotic edge, each with different go-to-market strategies and technology needs. He clarified that the Vera CPU opens a new market for NVIDIA. 2. Growth philosophy and growing faster than hyperscaler CapEx: Analysts asked if NVIDIA's goal is to grow faster than hyperscaler CapEx and if hyperscaler CapEx would continue its rapid growth. Management (Jensen Huang) affirmed that NVIDIA should grow faster than hyperscaler CapEx due to its diverse data center business, which includes not only hyperscalers but also the rapidly growing AI native clouds, enterprise, industrial, and sovereign AI segments. He reiterated that 'Compute is revenues' in the AI era, driving continued CapEx. 3. Role of CPU for Agentic applications and the $20 billion number: Analysts inquired about the role of CPUs for agentic applications, whether it's an incremental workload or cannibalistic, and how the $20 billion CPU revenue number fits into their product strategy. Management (Jensen Huang) clarified that the $20 billion is for standalone Vera CPUs, and that Vera is used in multiple ways (VeraRubin, standalone, with CX9 for storage/security). He explained that agents use CPUs for orchestration and tool use, while GPUs handle the 'thinking' (inference), making CPUs incremental and essential for the vast number of agents expected in the future. | Revenue SegmentsTotal revenue: $82 billion, up 85% year over year. Data center revenue: $75 billion, up 92% year over year. Data center computing revenue: $60 billion, up 77% year over year. Data center networking revenue: $15 billion, nearly tripled year over year. Edge computing market platform: $6.4 billion, up 29% year over year. |
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 3 Things Management Is Most Focused On1. Sustaining AI Leadership through Innovation and Co-design: Management is focused on delivering generational leaps in performance per watt and performance per dollar through an annual product cadence (Blackwell, Rubin platforms) and extreme co-design across chips, systems, algorithms, and software, supported by a significant R&D budget. 2. Expanding and Deepening the AI Ecosystem: NVIDIA is strategically investing in and partnering with frontier model makers (OpenAI, Anthropic, Meta, Grok) and industrial partners (Dassault Systemes, Siemens, Synopsys) to ensure the entire AI stack and various industry-specific applications are built on its CUDA platform. 3. Monetizing the Agentic and Physical AI Inflection: Management emphasizes that "compute equals revenues" for customers due to the exponential growth in token generation by agentic AI, and sees physical AI (robotics, autonomous vehicles, industrial digital twins) as a massive, emerging opportunity driving future demand. | Call Takeaway & ToneThe overall takeaway is that NVIDIA is experiencing exceptional growth driven by the accelerating adoption of AI, particularly agentic AI, which management views as a new industrial revolution where "compute equals revenues." The company is successfully transitioning to a full-stack AI infrastructure provider, with strong demand across all segments, especially data center and networking. Management is highly confident and visionary, emphasizing rapid innovation (Blackwell, Rubin), strategic ecosystem investments, and the critical role of performance per watt in maximizing customer revenue. The tone was overwhelmingly bullish and optimistic about NVIDIA's long-term growth trajectory and its leadership in the evolving AI landscape. | Prior Quarter'S Y/Y Growth By SegmentData Center: +66% y/y (accelerated in Q4). Networking: +162% y/y (accelerated in Q4, from 3.5x in Q3 to 3.5x+ in Q4). Gaming: +30% y/y (accelerated in Q4). Professional Visualization: +56% y/y (accelerated in Q4). Automotive: +32% y/y (decelerated in Q4). | 3 Things Analysts Most Pressed On (And Mgmt Responses)1. Sustainability of Hyperscaler CapEx: Analysts questioned whether the high level of cloud CapEx (approaching $700 billion) could continue to grow into the next year. Management Response: Jensen Huang expressed confidence in customers' cash flow growth, stating that in the new AI world, "compute is revenues" because agentic AI drives profitable token generation, making compute investment directly translate to revenue growth for cloud providers. 2. Role of Strategic Investments in the Ecosystem: Analysts inquired about the purpose and strategy behind NVIDIA's strategic investments in companies like Anthropic and OpenAI. Management Response: Jensen Huang clarified that these investments are "squarely, strategically on expanding and deepening our ecosystem reach" across the entire AI stack, ensuring all AI development (language, physical AI, robotics, etc.) is built on NVIDIA's CUDA platform. 3. Networking Business Growth and Strategy: Analysts pressed on the accelerating growth of networking revenue, particularly the Spectrum-X Ethernet platform, and its future run rate. Management Response: Jensen Huang explained that networking is an integral extension of NVIDIA's AI infrastructure, with NVLink having "turbocharged" the business. He highlighted Spectrum-X Ethernet as a "home run" due to its performance benefits (e.g., 10-20% effectiveness improvement) for AI factories, positioning NVIDIA to become the largest Ethernet networking company. | Revenue SegmentsTotal revenue: up 73% year-over-year. Data Center revenue: $62 billion, up 75% year-over-year. Networking revenue: $11 billion, up more than 3.5x (350%) year-over-year. Gaming revenue: $3.7 billion, up 47% year-on-year. Professional Visualization revenue: $1.3 billion, up 159% year-over-year. Automotive revenue: $604 million, up 6% year-over-year. |
| 3 Things Management Is Most Focused On | Call Takeaway & Tone | Prior Quarter'S Y/Y Growth By Segment | 3 Things Analysts Most Pressed On (And Mgmt Responses) | Revenue Segments |
|---|---|---|---|---|
| 3 Things Management Is Most Focused On1. Blackwell and Rubin Product Cycles: Management is prioritizing the seamless transition to the Blackwell (GB300) architecture and the upcoming Rubin platform to maintain an annual x-factor performance lead. 2. Agentic and Physical AI: Shifting focus toward the next frontier of computing where AI models reason, plan, and interact with the physical world (robotics/digital twins). 3. Ecosystem and Strategic Offtake: Using the balance sheet to invest in 'once-in-a-generation' companies like OpenAI and Anthropic to secure long-term demand (offtake) and ensure CUDA remains the universal standard. | Call Takeaway & ToneTakeaway: NVIDIA is successfully evolving from a component vendor into a full-stack AI infrastructure and systems company. The company is leveraging its dominant market position to lock in the software ecosystem through strategic investments and is betting heavily on 'Agentic AI' as the next major growth catalyst. Tone: Extremely confident and visionary; management dismissed 'bubble' concerns by pointing to concrete efficiency gains and the fundamental shift from general-purpose to accelerated computing. | Prior Quarter'S Y/Y Growth By SegmentData Center: ~+56% y/y (Accelerated in Q3); Gaming: +49% y/y (Decelerated in Q3); Professional Visualization: +32% y/y (Accelerated in Q3); Automotive: +69% y/y (Decelerated in Q3). | 3 Things Analysts Most Pressed On (And Mgmt Responses)1. AI ROI and Sustainability: Analysts questioned the long-term viability of massive CapEx. Management responded that AI is already driving immediate revenue gains for hyperscalers through improved recommendation systems and that 'Agentic AI' represents a net-new revenue stream. 2. Gross Margin Sustainability: Analysts were concerned about rising input costs and the complexity of Blackwell systems. Management committed to holding margins in the mid-70s through cost optimization, improved cycle times, and favorable product mix. 3. Supply Chain and Power Constraints: Analysts asked about bottlenecks in power, land, and components. Management stated these are 'tractable' issues and that their long-term planning and 'co-design' approach with partners like TSMC provide a significant competitive advantage. | Revenue SegmentsData Center: +66% y/y ($51B); Networking: +162% y/y ($8.2B); Gaming: +30% y/y ($4.3B); Professional Visualization: +56% y/y ($760M); Automotive: +32% y/y ($592M). |
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) | Hiring |
|---|---|---|---|---|---|---|---|---|
| About Expanding Eligible MarketThe surge in AI demand is driving a global infrastructure buildout, supported by an expanding and diverse set of growth opportunities spanning hyperscalers, AI labs, AI natives, enterprises, and sovereign customers. ACIE revenue (NeoCloud, industrial, enterprise) increased 25% sequentially and 138% year-over-year. The new Vera CPU, as a stand-alone product, expands NVIDIA's TAM even further, expected to be deployed by every major hyperscaler, NeoCloud, AI lab, and system OEM. Non-hyperscaler growth (AICE segment) is expected to represent roughly half of NVIDIA's data center business. Global VC funding in AI exceeded $400 billion in the first half of 2026, surpassing all of 2025, with nearly 20 companies now exceeding $1 billion in annualized run rate revenue. Sovereign AI business grew 35% sequentially and more than tripled year-over-year in Q2. A new revenue-sharing structure with NeoClouds is expected to expand the addressable market and create recurring usage-linked revenue streams, potentially driving billions in revenue over the medium to long term. The amount of compute necessary for an AI agent versus a human is 15 to 100 times higher, indicating massive future demand. | About CompetitionNVIDIA's architecture runs every model, and the company is growing share as closed and open model adoption skyrockets. Vera CPU completes agentic tasks 1.8x faster on the spec benchmark and provides 5x the bandwidth per watt than any other data center CPU. Spectrum-X Ethernet is helping NVIDIA become the largest and fastest-growing network company in the world. NVIDIA expects CPU revenue to more than double in fiscal '28, positioning it as one of the world's leading server CPU suppliers. The Groq 3 LPX system is setting records, demonstrating nearly 4x the number of tokens per second against the next best alternative. Jensen Huang stated that NVIDIA is building a full-stack AI factory platform that spans the entire AI life cycle, usable in any cloud, unlike many XPUs that are inference-specific chips for one cloud or service. He expressed 100% confidence in NVIDIA's technology and economics for AI labs, even those designing custom chips, noting NVIDIA is likely the only platform running every frontier model. | About The Broader IndustryThe industry is experiencing a global infrastructure buildout driven by the surge in AI demand. Cloud industry backlog is greater than $2 trillion, with CapEx by the top 5 hyperscalers expected to reach nearly $800 billion in 2026 and $1.3 trillion in 2027. Global VC funding in AI exceeded $400 billion in the first half of 2026. AI is now doing productive and useful work, generating profitable tokens, and more compute translates to more profit for services. The AI life cycle is becoming more complex, requiring fungible systems. Both closed and open AI models are skyrocketing in use and are vital to the global economy. The return on invested capital for AI data centers is now less than a year, even for $50 billion investments, indicating tremendous productivity. AI infrastructure is creating many jobs globally. | Where Things Are HeadedNVIDIA expects to grow revenue by approximately 70% in fiscal 2028, a supply-constrained outlook, with customer forecasts pointing to demand doubling next year. AWS is deploying an additional 2 million GPUs (Vera, Rubin) through fiscal '29 and adopting NVIDIA's full physical AI stack for warehouse robots. NeoCloud partners are expected to exit the year with 8 gigawatts in total installed capacity, up from 3 gigawatts at the end of 2025. Vera Rubin production shipments commenced earlier this month and are expected to mark the fastest product ramp in NVIDIA's history, accounting for about 20% of data center revenue in Q3. CPU revenue is expected to more than double in fiscal '28. The AICE segment (non-hyperscaler growth) will represent roughly half of the data center business. NVIDIA has secured land and power capacity with SoftBank Energy for 4.25 gigawatts at Portsmouth Campus for OpenAI, which has committed to substantial NVIDIA AI infrastructure through 2030 (12 gigawatts). There is no China data center compute revenue in the forward outlook due to geopolitical uncertainty. Q3 total revenue is expected to be $108 billion (+/- 2%). Gross margins are expected to bottom in Q4 (71-72%) before settling at 72-73% in fiscal '28 as price increases take effect. OpEx is expected to grow in the low 50s for the full year. Supply is expected to remain a bottleneck through the end of fiscal '28. | Updates On ThemeMidstream | Broader Themes EmergingThe shift towards fully agentic AI systems is a significant emerging theme, where AI agents run continuously and interact with other agents, driving exponential, always-on compute demand. The economic viability of AI infrastructure, characterized by 'profitable tokens' and a return on invested capital of less than a year for multi-billion dollar data centers, is a powerful reinforcing theme. The sheer scale of unmet demand, with unconstrained growth significantly higher than the supply-constrained outlook, highlights the foundational nature of the AI build-out. | Bullish-Leaning Quotes (Short)We delivered another outstanding quarter with record revenue, operating income and EPS. Total revenue of $96 billion more than doubled year-over-year as growth accelerated for the fourth consecutive quarter. We expect to grow revenue by approximately 70% in fiscal 2028. Incredibly, we are seeing demand acceleration even at our scale. Vera Rubin exemplifies this, delivering 30x higher throughput per megawatt and 35x lower token costs. We expect Vera Rubin to mark the fastest product ramp in NVIDIA's history. Spectrum-X Ethernet is already helping us become the largest and fastest-growing network company in the world. Our preliminary expectation is for CPU revenue to more than double in fiscal '28, positioning us as one of the world's leading server CPU suppliers. Global VC funding in AI exceeded $400 billion in the first half of 2026. We expect them to become the largest technology companies in history. The return on invested capital is now less than a year. | Bearish-Leaning Quotes (Short)We expect to grow approximately 70% as we are supply constrained. This is a supply-constrained outlook. Current Hopper shipments are dilutive to corporate gross margins. There is no China data center compute revenue in our forward outlook. We expect supply to remain a bottleneck, at least through the end of fiscal year '28. We are experiencing extreme pricing conditions in memory. The magnitude of the price increase has exceeded our prior expectations and are headed even higher into next year. We expect margins to bottom in Q4 in the 71% to 72% range. Our entire supply chain is challenged. | HiringAI infrastructure is creating so many jobs all over the United States and all around the world. For the full year, we now expect OpEx to grow in the low 50s driven by a broadening of our product portfolio and further increase in the usage of AI tools, which is already and will continue to enhance engineering productivity. |
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) |
|---|---|---|---|---|---|---|---|
| About Expanding Eligible MarketNVIDIA is expanding its eligible market by capitalizing on inference demand across hyperscalers, model makers, AI cloud providers, and sovereign customers. The company has introduced a new reporting framework with two market platforms: Data Center (Hyperscale and ACIE including AI clouds, industrial, and enterprise) and Edge Computing (devices for agentic and physical AI like PCs, gaming consoles, workstations, AI RAN base stations, robotics, and automotive). NVIDIA AI infrastructure is now deployed across nearly 40 countries, representing $50 trillion in GDP. The new Vera CPU opens a brand new $200 billion TAM for NVIDIA, a market previously unaddressed. Physical AI is gaining momentum, exceeding $9 billion in revenue over the last 12 months, with partnerships like Uber for robotaxi fleets across nearly 30 cities and 4 continents by 2028. The ACIE segment (AI native clouds, enterprise, industrial, sovereign AI) is expected to grow faster than hyperscale over time, representing hundreds of thousands of companies with smaller installations. | About CompetitionNVIDIA's Spectrum-X Ethernet platform for AI is now larger than all Ethernet network peers combined. InfiniBand grew more than 4x year over year. The company swept every benchmark in MLPerf inference results, with Blackwell Ultra delivering the highest throughput. Vera CPU is projected to deliver up to 1.5x faster performance per core, 2x performance per watt, and 4x density per rack compared to x86-based alternatives. NVIDIA expects to become the world's leading CPU supplier with nearly $20 billion in CPU revenue this year. The company's annual product cadence is unmatched, and its share of frontier AI compute and models is increasing, especially with the addition of Anthropic as a strategic partner. VeraRubin is anticipated to be even more successful than Grace Blackwell, with every frontier model company expected to adopt it from the outset. NVIDIA is practically the only company serving physical AI today. | About The Broader IndustryThe industry is experiencing an inflection in inference demand and an acceleration in the build-out of AI factories. The value of NVIDIA AI infrastructure is rising, with H100 cloud pricing up 20% year-to-date and A100 cloud pricing up nearly 15%. AI is now a necessity for enhancing productivity across all industries and roles, propelling revenue acceleration across all layers of the AI stack, including energy, chips, infrastructure, models, and applications. Hyperscale CapEx is forecasted to exceed $1 trillion by 2027, and AI infrastructure spending is on track to reach $3 trillion to $4 trillion annually by the end of this decade. Agentic AI has arrived, enabling productive and valuable work, making tokens profitable and driving model makers to produce more. In the AI era, compute capacity directly translates to revenue and profits. The world is expected to transition from a billion human users to billions of agents, each potentially using tools like PCs. The future economics of AI will be measured by tokens per dollar or dollars per token. | Where Things Are HeadedNVIDIA is transitioning to a new reporting framework with two market platforms: Data Center (Hyperscale and ACIE) and Edge Computing. The company expects to commence production shipments of VeraRubin in the second half of this year, starting in Q3. VeraRubin is projected to deliver up to 35x higher inference throughput and up to 10x greater AI factory revenue compared with Blackwell. NVIDIA has visibility to nearly $20 billion in total CPU revenue this year, aiming to become the world's leading CPU supplier. The company's partnership with Uber will power robotaxi fleets across nearly 30 cities and 4 continents by 2028. Total revenue for the second quarter is expected to be $91 billion, plus or minus 2%. NVIDIA has full confidence in $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027. Operating expenses for the full year are expected to grow in the upper forties year over year, driven by higher R&D and increased usage of AI tools. The ACIE segment and physical AI/robotics are expected to grow incredibly fast in the coming years. NVIDIA anticipates being supply constrained throughout the entire life of VeraRubin. | Updates On ThemeIntelligence | Broader Themes EmergingThe proliferation of AI agents is a significant emerging theme, with the expectation that the world will eventually have billions of agents, each potentially using tools like PCs. This shift is also redefining the economics of computing, moving from 'dollars per core' to 'tokens per dollar' or 'dollars per token'. | Bullish-Leaning Quotes (Short)Delivered an exceptional quarter. Total revenue of $82 billion was up 85% year over year. This marked our third consecutive quarter of year over year acceleration. Data center revenue of $75 billion was up 92% year over year. Blackwell architecture... marked the fastest product ramp ouour company's history. Spectrum-X... is now larger than all Ethernet network peers combined. AI cloud revenue that more than tripled year over year. Sovereign revenue increased more than 80% year over year. AI infrastructure spending is on track to reach $3 trillion to $4 trillion annually by the end of this decade. Our share of frontier AI compute is increasing. MLPerf inference results are in. And once again, we swept every benchmark. VeraCPU opens a brand new $200 billion TAM for NVIDIA. We have visibility to nearly $20 billion in total CPU revenue this year. Setting us up to become the world leading CPU supplier. VeraRubin will deliver up to 35x higher inference throughput. Total revenue is expected to be $91 billion. Giving us full confidence in $1 trillion in Blackwell and Rubin revenue. Demand has gone parabolic. Agentic AI has arrived. NVIDIA is the platform of this era. | Bearish-Leaning Quotes (Short)consumer demand fell modestly due to higher memory and system prices. We have yet to generate any revenue [from H200 to China]. We are uncertain whether any imports will be allowed into the country. We are not immune to supply challenges. The LPX is designed for low latency and high token rate. Its throughput is low. |
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) | Hiring |
|---|---|---|---|---|---|---|---|---|
| About Expanding Eligible MarketNVIDIA is expanding its eligible market by capitalizing on inference demand across hyperscalers, model makers, AI cloud providers, and sovereign customers. The company introduced a new reporting framework with two market platforms: Data Center (Hyperscale and ACIE, including AI clouds, industrial, and enterprise) and Edge Computing (devices for agentic and physical AI). NVIDIA AI infrastructure is now deployed across nearly 40 countries, representing $50 trillion in GDP. The new Vera CPU opens a brand new $200 billion TAM for NVIDIA, a market previously unaddressed. Physical AI is gaining momentum, exceeding $9 billion in revenue over the last 12 months, with partnerships like Uber for robotaxi fleets across nearly 30 cities and 4 continents by 2028. The ACIE segment (AI native clouds, enterprise, industrial, sovereign AI) is expected to grow faster than hyperscale over time, representing hundreds of thousands of companies with smaller installations. | About CompetitionNVIDIA's Spectrum-X Ethernet platform for AI is now larger than all Ethernet network peers combined. InfiniBand grew more than 4x year over year. The company swept every benchmark in MLPerf inference results, with Blackwell Ultra delivering the highest throughput. Vera CPU is projected to deliver up to 1.5x faster performance per core, 2x performance per watt, and 4x density per rack compared to x86-based alternatives. NVIDIA expects to become the world's leading CPU supplier with nearly $20 billion in CPU revenue this year. The company's annual product cadence is unmatched, and its share of frontier AI compute and models is increasing, especially with the addition of Anthropic as a strategic partner. VeraRubin is anticipated to be even more successful than Grace Blackwell, with every frontier model company expected to adopt it from the outset. NVIDIA is practically the only company serving physical AI today. | About The Broader IndustryThe industry is experiencing an inflection in inference demand and an acceleration in the build-out of AI factories. The value of NVIDIA AI infrastructure is rising, with H100 cloud pricing up 20% year-to-date and A100 cloud pricing up nearly 15%. AI is now a necessity for enhancing productivity across all industries and roles, propelling revenue acceleration across all layers of the AI stack, including energy, chips, infrastructure, models, and applications. Hyperscale CapEx is forecasted to exceed $1 trillion by 2027, and AI infrastructure spending is on track to reach $3 trillion to $4 trillion annually by the end of this decade. Agentic AI has arrived, enabling productive and valuable work, making tokens profitable and driving model makers to produce more. In the AI era, compute capacity directly translates to revenue and profits. The world is expected to transition from a billion human users to billions of agents, each potentially using tools like PCs. The future economics of AI will be measured by tokens per dollar or dollars per token. | Where Things Are HeadedNVIDIA is transitioning to a new reporting framework with two market platforms: Data Center (Hyperscale and ACIE) and Edge Computing. The company expects to commence production shipments of VeraRubin in the second half of this year, starting in Q3. VeraRubin is projected to deliver up to 35x higher inference throughput and up to 10x greater AI factory revenue compared with Blackwell. NVIDIA has visibility to nearly $20 billion in total CPU revenue this year, aiming to become the world's leading CPU supplier. The company's partnership with Uber will power robotaxi fleets across nearly 30 cities and 4 continents by 2028. Total revenue for the second quarter is expected to be $91 billion, plus or minus 2%. NVIDIA has full confidence in $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027. Operating expenses for the full year are expected to grow in the upper forties year over year, driven by higher R&D and increased usage of AI tools. The ACIE segment and physical AI/robotics are expected to grow incredibly fast in the coming years. NVIDIA anticipates being supply constrained throughout the entire life of VeraRubin. | Updates On ThemeMidstream | Broader Themes EmergingThe proliferation of AI agents is a significant emerging theme, with the expectation that the world will eventually have billions of agents, each potentially using tools like PCs. This shift is also redefining the economics of computing, moving from 'dollars per core' to 'tokens per dollar' or 'dollars per token'. | Bullish-Leaning Quotes (Short)Demand has gone parabolic. Total revenue of $82 billion was up 85% year over year. Blackwell architecture... marked the fastest product ramp ouour company's history. VeraCPU opens a brand new $200 billion TAM for NVIDIA. Giving us full confidence in $1 trillion in Blackwell and Rubin revenue. NVIDIA is the platform of this era. | Bearish-Leaning Quotes (Short)consumer demand fell modestly due to higher memory and system prices. We have yet to generate any revenue [from H200 to China]. We are uncertain whether any imports will be allowed into the country. We are not immune to supply challenges. | HiringGAAP and non-GAAP operating expenses were up 12% sequentially, primarily due to higher compensation. For the full year, operating expenses are expected to grow in the upper forties year over year, driven by higher R&D and acceleration in the usage of AI tools to enhance productivity. |
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Broader Themes Emerging | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) |
|---|---|---|---|---|---|---|---|
| About Expanding Eligible MarketNVIDIA expects sequential revenue growth throughout calendar 2026, exceeding the previously shared $500 billion Blackwell and Rubin revenue opportunity. The data center business has scaled nearly 13x since ChatGPT emerged in fiscal 2023. Demand is broad and diverse, expanding beyond chatbots, driven by a platform shift from classical machine learning to generative AI, with strong ROI encouraging hyperscalers to accelerate capital spending. Sovereign AI business more than tripled year-over-year to over $30 billion, with expectations to grow in line with the AI infrastructure market. Physical AI contributed over $6 billion in fiscal year 2026, with robotaxi rides projected to scale to millions of vehicles over the next decade, creating a market worth hundreds of billions. New partnerships with Dassault Systemes, Siemens, and Synopsys aim to bring NVIDIA AI infrastructure to millions of researchers and engineers. The company sees the amount of computation necessary for AI as 1,000 times higher than classical computing, leading to a global need for token generation capacity far exceeding $700 billion. | About CompetitionNVIDIA was declared the 'Inference King' by SemiAnalysis, with GB300 NVL72 achieving up to 50x performance per watt and 35x lower cost per token compared to Hopper. The company's pace of innovation, fueled by a nearly $20 billion R&D budget and extreme co-design capabilities, aims to deliver 'X factor leaps' in performance per watt and extend leadership. The CUDA architecture is highlighted as more effective and efficient, delivering more performance per FLOP per watt than any other computing architecture. Competitors in China, bolstered by recent IPOs, are making progress and have the potential to disrupt the global AI industry long-term. NVIDIA continues to engage with the U.S. and China governments to advocate for America's ability to compete globally. NVIDIA is positioned as the only accelerated computing platform in every cloud, available through every computer maker, and at the edge, with 1.5 million AI models on Hugging Face running on CUDA. | About The Broader IndustryThe industry is undergoing a transition to accelerated computing and an infusion of AI across existing hyperscale workloads. Every data center is power-constrained, making performance per watt a critical architectural decision for maximizing AI factory revenue. A fundamental platform shift from classical machine learning to generative AI is occurring, with strong ROI evidence from hyperscalers upgrading traditional workloads. Frontier agentic systems have reached an inflection point, with adoption skyrocketing and profitable tokens driving extreme urgency to scale compute, as 'compute directly translates to intelligence and revenue growth.' Analyst expectations for 2026 CapEx across the top 5 cloud providers are approaching $700 billion. Every country is expected to build and operate its own AI infrastructure. Robotaxi rides are growing exponentially, projected to scale to millions of vehicles in the next decade, creating a multi-hundred-billion-dollar market. The new world of AI equates compute with revenues, as token generation is central to future software. | Where Things Are HeadedNVIDIA expects sequential revenue growth throughout calendar 2026, with inventory and supply commitments in place extending into calendar 2027. The company plans to deliver 'X factor leaps' in performance per watt each generation to extend its leadership. The Rubin platform, comprising six new chips, will train MOE models with 1/4 the GPUs and reduce inference token costs by up to 10x compared to Blackwell, with samples shipped and production on track for H2 2026. Every cloud model builder is expected to deploy Vera Rubin. Gaming is expected to face supply constraints in Q1 and beyond. Robotaxi fleets are projected to scale from thousands in 2025 to millions over the next decade. The company continues to advance robotics development and expand partnerships for industrial physical AI adoption. NVIDIA is confident that investment in compute capacity will continue to grow, driven by the agentic AI inflection and the upcoming physical AI inflection in manufacturing and robotics. | Updates On ThemeIntelligence | Broader Themes EmergingSpace data centers are an emerging theme, with NVIDIA's Hopper GPU already in space for applications like high-resolution imaging and on-orbit processing to reduce data transmission back to Earth. | Bullish-Leaning Quotes (Short)We delivered another outstanding quarter with record revenue, operating income and free cash flow. We expect sequential revenue growth throughout calendar 2026, exceeding what was included in the $500 billion Blackwell and Rubin revenue opportunity. SemiAnalysis declared NVIDIA, Inference King. NVIDIA produces the lowest cost per token and data centers running on NVIDIA generate the highest revenues. Our pace of innovation, particularly at our scale is unmatched. Networking... was a standout this quarter, generating $11 billion in revenue, up more than 3.5x year-over-year. Frontier agentic systems have reached an inflection point. Compute directly translates to intelligence and revenue growth. Analyst expectations for 2026 CapEx... are up nearly $120 billion since the start of the year and approaching $700 billion. Our sovereign AI business more than tripled year-over-year and over $30 billion. We expect every cloud model builder to deploy Vera Rubin. Physical AI is here having already contributed north of $6 billion in NVIDIA revenue in fiscal year 2026. Robotaxi rides are growing exponentially... creating a market poised to generate hundreds of billions of dollars of revenue. I am confident in their cash flow growing... In this new world of AI, compute is revenues. We're the only accelerated computing platform that is in every cloud. 1.5 million AI models on Hugging Face, all of it runs on NVIDIA CUDA. The amount of computation necessary is 1,000 times higher than the way we used to do computing. The next inflection beyond that is physical AI... that's a giant opportunity ahead. | Bearish-Leaning Quotes (Short)While small amounts of H200 products for China-based customers were approved by the U.S. government, we have yet to generate any revenue. Our competitors in China bolstered by recent IPOs are making progress and have the potential to disrupt the structure of the global AI industry over the long term. Looking ahead... we expect supply constraints to be the headwind to Gaming in Q1 and beyond. The economics [of space data centers] are poor today. |
| About Expanding Eligible Market | About Competition | About The Broader Industry | Where Things Are Headed | Updates On Theme | Bullish-Leaning Quotes (Short) | Bearish-Leaning Quotes (Short) |
|---|---|---|---|---|---|---|
| About Expanding Eligible MarketNVDA highlighted a half-trillion-dollar visibility in Blackwell and Rubin revenue through calendar year 2026, and a $3–$4 trillion annual AI infrastructure build by the end of the decade, underpinned by continued demand for AI infrastructure (clouds sold out, expanding GPU install base, and enterprise adoption). The company also cited multiple large AI factory and infrastructure projects totaling 5 million GPUs, partnerships across major software platforms (e.g., Meta, Microsoft, SAP, Palantir), and growth in autonomous systems, digital twins, and industry-specific deployments (“XAI's Colossus two” data-center scale, Lilly's AI factory, etc.). | About CompetitionCompetition concerns were not framed around specific peers, but NVIDIA acknowledged geopolitical and competitive pressures in China (e.g., “geopolitical issues and the increasingly competitive market in China” and at one point “we were disappointed in the current state, that prevents us from shipping more competitive data center compute products to China”). Management emphasized its unique stack advantages (one architecture that runs every AI model across cloud/on-prem/robotics), ongoing supply-chain planning, and the rapid pace of AI model and workload diversification as a competitive moat rather than relying on single product lines. | About The Broader IndustryIndustry-wide transition from CPU to GPU-accelerated computing, Generative AI replacing classical ML in hyperscalers' workloads, and the emergence of agentic AI across industries. Quotes highlighted hyperscalers' large CapEx in AI infrastructure, the move toward AI factories and digital twins, and broad ecosystem adoption (OpenAI, Anthropic, xAI, etc.), with emphasis on AI systems driving new demand for GPUs, NVLink/InfiniBand networks, and software ecosystems like CUDA and Omniverse. | Where Things Are HeadedThe trajectory is toward three platform shifts—accelerated computing, generative AI, and agentic/physical AI—driving multi-year, multi-hundred-billion to trillion-dollar expansion in AI infrastructure. NVIDIA expects sustained demand, continued Rubin/Blackwell ramp, expanded collaborations across hyperscalers, sovereigns, and enterprises, and significant, steady advances in performance per watt that will broaden the total addressable market beyond current hyperscaler spending into industrial, robotics, and edge deployments. | Updates On ThemeCompute | Bullish-Leaning Quotes (Short)'Three massive platform shifts' are underway; 'One architecture' enables all transitions; 'Demand for AI infrastructure continues to exceed our expectations'; 'We are the only company with AI scale up scale out, and scale across platforms.' | Bearish-Leaning Quotes (Short)'Geopolitical issues and the increasingly competitive market in China' limited near-term upside; 'we were disappointed' that current conditions prevented shipping more competitive data center compute products to China. |
| Date | Comment | Comment Type | Comment Sentiment | Link | Price Reaction |
|---|---|---|---|---|---|
| 2025-08-27 | Q2 FY26 revenue $46.7B (+56% y/y) with strong Blackwell ramp and record networking; Gaming +49%, ProViz +32%, Auto +69%. China/H20 excluded from guide; inventory +$4B, OpEx growth accelerating. Q3 rev outlook $54B ±2%. Market reaction mixed on China risk and spending. | Earnings Transcript | Mixed | -4.18% (vs SPY: -4.16%) | |
| 2026-05-20 | NVIDIA's Q1 FY27 earnings showed parabolic demand, 85% revenue growth, and the fastest Blackwell ramp. The new Vera CPU opens a $200B TAM, with VeraRubin production starting Q3. Despite bullish guidance and a dividend hike, the stock fell 2.39% (t+2 days), underperforming SPY. The market likely focused on VeraRubin supply constraints, continued China revenue exclusion, and modest consumer edge demand decline, aligning with 'Expensive Tech' concerns. | Earnings Transcript | Negative | -2.39% (vs SPY: -4.01%) | |
| 2026-08-26 | NVIDIA reported record Q2 FY27 revenue of $96B, doubling year-over-year, driven by surging AI demand and Vera Rubin's rapid ramp. Despite a supply-constrained 70% FY28 revenue growth outlook and extreme memory pricing impacting margins, the market reacted very positively, with the stock outperforming SPY by 8.32% (t+2 days). This indicates strong confidence in NVIDIA's diversified AI factory platform and strategic investments. | Earnings Transcript | Positive | +8.74% (vs SPY: +8.32%) |
| Catalyst ID | Estimated Timing | Estimated Date Start | Estimated Date End | Catalyst | Why It Matters | Ticker Or Theme Specific | Transcript Date | Source Type |
|---|---|---|---|---|---|---|---|---|
| NVDA_a8c42494 | For the full year | 2027-01-25 | 2027-01-25 | NVIDIA's actual full-year FY27 non-GAAP gross margin performance relative to the 'mid seventies' target. | Gross margin performance is a key indicator of profitability. Sustaining margins in the mid-70s would be positive, while a decline could signal increasing input costs or competitive pressures, impacting valuation. | Ticker | 2026-05-20 | earnings_transcript |
| NVDA_c2444d3e | For the full year | 2027-01-25 | 2027-01-25 | NVIDIA's actual full-year FY27 operating expense growth compared to the 'upper forties' guidance. | Operating expense growth exceeding or falling below the guidance could materially impact NVIDIA's profitability and gross margins, influencing investor sentiment. | Ticker | 2026-05-20 | earnings_transcript |
| NVDA_b82277c4 | bottom in Q4 | 2026-11-01 | 2027-01-31 | NVIDIA's GAAP and non-GAAP gross margins are expected to bottom in the 71% to 72% range. | This provides clarity on the expected trough for gross margins due to rising memory pricing, with a subsequent recovery anticipated in fiscal year '28, which is bullish for future profitability. | Ticker | 2026-08-26 | earnings_transcript |
