NVDA

T14.0% portfolio

NVIDIA Corporation

Next est. report 2026-08-26 · AMC

AI '24: Manf & Foundries AI '26: Big 7 AI '26: Intelligence Infrastructure SupercycleAI '26: NeocloudsAI Bottleneck '26: Midstream AI Materials Drones '26: Mission Payload & Intelligence Humanoid '25: Compute & Edge AIHumanoid '25: Learned Memory & InterfacingMegaTech '25: Amazon EcosystemMegaTech '25: Nvidia GPU ComplexMemory '26: Graphics & Mobile Memory Renewable Energy '26: AI-Driven Energy MgmtShipbuilding '26: Shipyard Equipment & TechSpace Supply Chain '26: Space-Grade Chips & Electronics Stagflation Short '25: Expensive TechToys & Hobbies '25: Electronic Toys & HobbiesUS Industrial Manf '26: Digital Twin SoftwareVideo Games '25: Gaming Infra

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Overview

NVIDIA Corporation provides chips and software for AI, gaming, and autonomous systems. Its dominant Data Center segment ($75B in Q1 FY27, ~91.5% of revenue) pow

NVIDIA Corporation provides chips and software for AI, gaming, and autonomous systems. Its dominant Data Center segment ($75B in Q1 FY27, ~91.5% of revenue) powers AI factories for hyperscalers, AI clouds, and enterprises. Edge Computing ($6.4B, ~7.8%) addresses AI in PCs, robotics, and automotive. NVIDIA sells to major cloud providers, AI model makers, and sovereign customers, with new Vera CPUs expanding its market.

What They Do (Plain English & Analogies): NVIDIA designs and builds the specialized computer brains and software that power artificial intelligence (AI), advanced gaming, and self-operating systems. Imagine them as the architects and builders of 'AI factories' – these aren't traditional factories, but massive data centers filled with their super-powerful processors (GPUs), specialized central processing units (CPUs), and lightning-fast networking gear. These 'factories' are designed to teach and run complex AI models, which then generate 'tokens' (the AI's output, like words in a chatbot or actions in a robot). For their customers, generating more tokens directly means more revenue. So, if the AI revolution is like a digital gold rush, NVIDIA isn't just selling the best shovels; they're providing the entire automated mining operation, the high-speed transportation for the gold, and the smart software telling everyone where to dig, making them the core infrastructure provider for the world's AI. The company is now also building CPUs specifically for 'agentic AI,' which are AI systems that can perform productive and valuable work, acting like digital assistants or workers that use various tools.
Very Brief History: Founded in 1993, NVIDIA initially focused on PC graphics, inventing the Graphics Processing Unit (GPU) in 1999. A crucial turning point came in 2006 with CUDA, a software platform that allowed GPUs to perform general-purpose computing, inadvertently positioning them as leaders in the deep learning revolution. Following the 2020 acquisition of networking giant Mellanox, the company evolved into a full-stack data center company, becoming a primary infrastructure provider for the generative AI era with architectures like Hopper, Blackwell, and the upcoming Rubin platforms.
"Street Stereotype": NVIDIA is widely perceived as the 'AI Kingmaker' and the 'only game in town' for high-end AI training and inference. Investors generally view it as a high-margin monopoly on the future of computing, indispensable for the ongoing AI infrastructure build-out. However, this perception is often accompanied by concerns over the sustainability of massive capital expenditures by large tech companies, geopolitical risks related to China, and the relentless need for generational performance gains.
Subsidiaries On Linked In*: Mellanox Technologies — Acquired in 2020, forms the core of NVIDIA's networking solutions.; LinkedIn: mellanox-technologies
Customer Sectors & Example Clients: NVIDIA serves diverse sectors including: **Cloud Service Providers (CSPs) and Hyperscalers:** Microsoft Azure, AWS, Google Cloud, Oracle Cloud, Meta, CoreWeave, StacyX AI. **AI Foundation Model Builders:** OpenAI (GPT-5.5 Codex), Anthropic, xAI, Gemini, MSL, Microsoft AI, TML, Reflection, Perplexity, Cursor. **Enterprise/Industrial:** Eli Lilly, Dassault Systemes, Siemens, Synopsys, Cadence, Adobe. **Sovereign Nations:** NVIDIA AI infrastructure is deployed across nearly 40 countries. **Automotive/Robotics:** Uber (robotaxi fleets), leading robotics companies across industrial, surgical, and humanoid applications.
New Customers / Segments They'Re Targeting: NVIDIA is actively targeting new customer segments through a refined reporting framework. They are focusing on 'AI natives,' which include a network of AI native clouds, enterprises on-premise, industrial companies in factories, and sovereign AI initiatives. This 'ACIE' (AI clouds, industrial, and enterprise) segment is growing incredibly fast as every industry and country adopts AI. Additionally, they are expanding into the 'robotic edge,' which encompasses self-driving cars, various robotic systems, and future AI-powered radio networks (base stations). The introduction of the Vera CPU specifically targets the agentic AI market, opening a brand new $200 billion total addressable market (TAM) that NVIDIA had not previously addressed.
Supply Chain And Sourcing Geographies: NVIDIA operates a fabless model, designing chips and outsourcing manufacturing. Its primary chip manufacturing partner is TSMC (Taiwan Semiconductor Manufacturing Company), with Blackwell chip production underway at TSMC's Phoenix, Arizona facility. Key suppliers for semiconductors and memory include Samsung Electronics (South Korea) and Micron Technology (USA), and SK Hynix (South Korea) for High Bandwidth Memory (HBM). Chip packaging and testing partners like Amkor and SPIL are involved in Arizona. Final assembly of AI supercomputers is being set up with Foxconn (Houston, USA) and Wistron (Dallas, USA). The company has increased total supply commitments, inclusive of inventory purchase commitments and prepaids, to $145 billion, extending into calendar 2027. NVIDIA anticipates being supply constrained throughout the entire life of VeraRubin.
Sales Geographies And Expansion Plans: NVIDIA sells its products globally, with significant revenue generated from the United States, Taiwan, China, and internationally. In Q1 FY27, the U.S. accounted for approximately 78% of reported revenue, while China + Hong Kong represented 5.6%. NVIDIA AI infrastructure is deployed across nearly 40 countries for sovereign AI initiatives. While the U.S. government has approved licenses for H200 to be shipped to China-based customers, NVIDIA has yet to generate any revenue from these sales and remains uncertain whether any imports will be allowed, leading to no China data center compute revenue being included in their Q2 FY27 outlook. The company continues to engage with governments to advocate for its ability to compete globally.
How Key Themes May Help/Hurt: The 'AI '26: Midstream AI Materials' theme significantly impacts NVIDIA. The company's relentless innovation and annual product cadence, particularly with architectures like Blackwell and the upcoming VeraRubin, drive immense demand for specialized, scarce materials such as High-Bandwidth Memory (HBM) and advanced packaging components. This structural bottleneck in the supply chain, highlighted by the 'Memory Supercycle,' creates durable pricing power for midstream material providers, which in turn can lead to higher input costs for NVIDIA. While NVIDIA's strategic investments and long-standing partnerships with critical suppliers aim to secure sufficient supply, the company explicitly states it expects to be 'supply constrained throughout the entire life of VeraRubin.' This constraint, stemming from the scarcity of midstream AI materials, could limit NVIDIA's ability to fully capitalize on the 'parabolic demand' for its products and potentially impact revenue growth, despite having full confidence in $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027. Geopolitical risks affecting material supply chains could also disrupt production and market access.

3 Main Long-Term Bull Details

Unmatched Innovation and Annual Product Cadence: NVIDIA's commitment to delivering an entire AI infrastructure every year, with architectures like Blackwell and the upcoming Rubin platform (including the Vera CPU), ensures continuous generational leaps in performance per watt and opens new multi-billion dollar total addressable markets (TAMs). This rapid innovation, backed by significant R&D, maintains a multi-year lead and makes its architecture indispensable for AI factories.
Full-Stack AI Infrastructure and Ecosystem Dominance: NVIDIA's comprehensive approach, encompassing the CUDA software platform, advanced networking solutions (NVLink, Spectrum-X Ethernet, InfiniBand), and integrated systems, allows it to architect entire AI data centers. This full-stack strategy creates a deep competitive moat, drives high attach rates for its components, and positions NVIDIA as the central enabler for the entire AI ecosystem.
Agentic and Physical AI Inflection Points: The emergence of agentic AI, where AI systems perform productive and valuable work, is driving exponential demand for compute as 'tokens become profitable.' Beyond this, the nascent but rapidly expanding 'Physical AI' market, including robotaxis and industrial robotics, represents a massive new TAM that NVIDIA is uniquely positioned to capture with its edge computing and robotics platforms.

3 Main Long-Term Bear Details

Geopolitical Risks and China Export Controls: Ongoing geopolitical tensions and U.S. export controls severely limit NVIDIA's ability to sell its most advanced data center compute products to China. Despite approved licenses for H200, no revenue has been generated, and the company excludes China data center compute revenue from its outlook, indicating a significant and persistent market constraint.
Gross Margin Sustainability Amid Rising Input Costs and OpEx: While NVIDIA currently maintains strong gross margins in the mid-70s, these face pressure from the increasing complexity of advanced architectures like Blackwell and Rubin, coupled with rising input costs for critical components such as High Bandwidth Memory (HBM) and advanced packaging. The relentless pursuit of 'generational leaps' in performance per watt implies continuous R&D and manufacturing challenges that could impact profitability, alongside full-year operating expenses projected to grow in the 'upper forties' year-over-year.
Supply Constraints for New Products: NVIDIA explicitly stated that it expects to be 'supply constrained throughout the entire life of VeraRubin,' its next-generation AI CPU/GPU platform. This limitation on supply could hinder the company's ability to meet the 'parabolic demand' for its products and fully capitalize on the significant revenue opportunities presented by its new architectures, despite strong customer interest and existing purchase orders.

Competitors And Differentiation: NVIDIA's competitive landscape includes x86-based alternatives for CPUs and other Ethernet network peers. NVIDIA differentiates itself through an extreme co-design approach, delivering a complete end-to-end, full-stack solution that is still open for integration into various environments. This approach enables the industry's lowest token cost and highest token throughput, as evidenced by sweeping every benchmark in MLPerf inference results with Blackwell Ultra. The company's annual product cadence, which is unmatched, is a key pillar supporting its market position. The CUDA software platform and its vast ecosystem of acceleration libraries are critical for engaging diverse vertical industries. The new Vera CPU is designed to deliver superior performance per core, performance per watt, and density per rack compared to x86-based alternatives, with NVIDIA aiming to become the world's leading CPU supplier. NVIDIA is also practically the only company serving the rapidly growing physical AI market today.
Recent Performance & What The Market'S Focused On: NVIDIA delivered an exceptional Q1 FY27, with total revenue of $82 billion, up 85% year over year, marking its third consecutive quarter of year-over-year acceleration. Data center revenue surged 92% year over year to $75 billion, driven by the Blackwell architecture, which achieved the fastest product ramp in company history. The company reported record free cash flow of $49 billion and increased its quarterly dividend from $0.01 to $0.25 per share, along with an $80 billion share repurchase authorization. For Q2 FY27, total revenue is expected to be $91 billion, plus or minus 2%. The market is focused on the continued 'parabolic demand' for AI infrastructure, the successful ramp of Blackwell and the upcoming VeraRubin platform (with production starting in Q3), and the new $200 billion TAM opened by the Vera CPU. However, concerns persist regarding supply constraints for VeraRubin, the continued exclusion of China data center compute revenue from the outlook, and a modest decline in consumer demand for edge computing due to higher memory and system prices.

Revenue Segments And Estimated Mix: {"segments":[{"segment_name":"Data Center","estimated_mix":"~91.5%","source_or_comment":"Q1 FY27 earnings transcript","yoy_or_trend_comment":"$75 billion, up 92% year over year and 21% sequentially."补偿: 0},{"segment_name":"Data Center - Hyperscale","estimated_mix":"~50% of Data Center revenue","source_or_comment":"Q1 FY27 earnings transcript","yoy_or_trend_comment":"$38 billion, increased 12% quarter over quarter."补偿: 0},{"segment_name":"Data Center - ACIE (AI clouds, industrial, enterprise)","estimated_mix":"~50% of Data Center revenue","source_or_comment":"Q1 FY27 earnings transcript","yoy_or_trend_comment":"$37 billion, grew 31% quarter over quarter, including AI cloud revenue that more than tripled year over year."补偿: 0},{"segment_name":"Edge Computing (PCs, gaming consoles, workstations, AI RAN base stations, robotics, automotive)","estimated_mix":"~7.8%","source_or_comment":"Q1 FY27 earnings transcript","yoy_or_trend_comment":"$6.4 billion, up 10% quarter over quarter and 29% year over year."补偿: 0}]}
Product Brands: GeForce
GeForce NOW
Quadro
NVIDIA RTX
vGPU
Omniverse
Blackwell
Rubin
Vera
VeraRubin
NVLink
Spectrum-X
InfiniBand
ConnectX-9 SuperNIC
BlueField-4 DPUs
DRIVE
Jetson
NVIDIA AI Enterprise
CUDA
GB300
NVL72
H100
A100
H200
XDR technology
Blackwell Ultra
LPX

Bull / Bear Details

NVIDIA's dominant position in AI infrastructure is significantly strengthened by parabolic demand for its Blackwell architecture and the imminent VeraRubin plat

Thesis

NVIDIA's dominant position in AI infrastructure is significantly strengthened by parabolic demand for its Blackwell architecture and the imminent VeraRubin platform, driving exceptional financial performance and a $1 trillion revenue outlook. The introduction of Vera CPUs and expansion into diverse AI segments like ACIE and physical AI open vast new markets. While geopolitical risks and VeraRubin supply constraints persist, NVIDIA's unmatched innovation and full-stack ecosystem solidify its indispensable role in the accelerating AI supercycle, making the bull case compelling. (June 16, 2026)

Bull case

NVIDIA's Q1 FY27 results showcased parabolic demand, with total revenue up 85% to $82 billion and data center revenue surging 92% to $75 billion. The Blackwell architecture achieved the fastest product ramp in company history, and management has full confidence in $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027, signaling sustained, unprecedented growth.
The introduction of Vera, the world's first CPU purpose-built for agentic AI, opens a brand new $200 billion TAM for NVIDIA, with nearly $20 billion in standalone CPU revenue expected this year. This, combined with rapid expansion in ACIE (AI clouds, industrial, enterprise) and physical AI (exceeding $9 billion in 12 months), significantly diversifies revenue streams and addresses new, fast-growing market segments.
NVIDIA's full-stack innovation, including its Spectrum-X Ethernet platform (now larger than all Ethernet network peers combined) and InfiniBand (growing over 4x year-over-year), ensures the industry's lowest token cost and highest throughput. Strategic partnerships with all major frontier model makers, including new addition Anthropic, further solidify NVIDIA's indispensable and growing share in the AI ecosystem.

Bear case

Geopolitical risks continue to severely limit NVIDIA's upside in China, with no data center compute revenue generated from H200 shipments and persistent uncertainty regarding imports. This sustained exclusion from a critical market, coupled with progress from local Chinese competitors, poses a significant long-term threat to global market share and revenue potential.
NVIDIA anticipates being "supply constrained throughout the entire life of VeraRubin," which could limit the company's ability to fully capitalize on demand for its next-generation platform. This, combined with full-year operating expenses projected to grow in the "upper forties" year-over-year, could pressure future profitability and margin sustainability despite strong gross margins.
Consumer demand for edge computing "fell modestly due to higher memory and system prices," indicating potential price sensitivity and demand weakness in this segment. While overall AI demand is parabolic, this specific area shows a softening, which could impact the diversification strategy and overall revenue mix if not addressed.

Bull / Bear Case

Bear Case: Geopolitical risks continue to severely limit NVIDIA's upside in China, with no data center compute revenue assumed from the region in the Q1 FY27 outlook and uncertainty regarding H200 imports. This persistent exclusion from a critical market poses a significant long-term threat to global market share. Despite strong current gross margins, NVIDIA expects to be 'supply constrained throughout the entire life of VeraRubin,' which could limit the company's ability to fully capitalize on demand. Rising input costs for HBM and advanced packaging, combined with full-year operating expenses projected to grow in the 'upper forties' year-over-year, could pressure future profitability and margin sustainability. Consumer demand for edge computing 'fell modestly due to higher memory and system prices,' indicating price sensitivity and potential demand weakness in a diversification segment.
Bull Case: NVIDIA continues to demonstrate unparalleled dominance in AI infrastructure, with Q1 FY27 total revenue up 85% year-over-year to $82 billion and data center revenue surging 92% to $75 billion. The Blackwell architecture achieved the fastest product ramp in company history, and confidence remains high for $1 trillion in Blackwell and Rubin revenue from 2025 through calendar 2027. The introduction of Vera, the world's first CPU purpose-built for agentic AI, opens a brand new $200 billion TAM for NVIDIA, with nearly $20 billion in CPU revenue expected this year. This, alongside rapid growth in ACIE (AI clouds, industrial, enterprise) and physical AI (exceeding $9 billion in 12 months), diversifies revenue streams beyond traditional hyperscalers. NVIDIA's full-stack innovation ensures the industry's lowest token cost and highest throughput, solidifying its indispensable role in the AI ecosystem.
More Compelling & Why: Bull. NVIDIA's current TTM P/E ratio of approximately 32x is significantly below its 10-year historical median of around 53x. This suggests that despite its high absolute price, the stock is trading at a more reasonable multiple relative to its own historical earnings power, especially considering its accelerating growth. The unparalleled and accelerating demand for NVIDIA's AI infrastructure, particularly the rapid adoption of Blackwell and the anticipated success of VeraRubin, combined with the new $200 billion TAM opened by the Vera CPU, provides a clear path for continued exceptional revenue and earnings growth that is not fully reflected in its current historical valuation multiples. A sustained deceleration in data center revenue growth below current projections, or a significant and prolonged impact from VeraRubin supply constraints that materially limits revenue, would flip my view.

Key Factors5 rows

Key Factor	Why It Matters	What To Watch	What It Signals	Where/How To Track	Free Alt Data	Paid Alt Data
Initial Vera CPU revenue contribution towards the $20 billion FY27 target.	Vera CPU opens a new $200 billion Total Addressable Market (TAM) for agentic AI, diversifying NVIDIA's revenue and strengthening its full-stack offering, which is critical for the long-term AI infrastructure supercycle.	NVIDIA's reported standalone Vera CPU revenue in Q2 FY27 earnings (August 26, 2026) and subsequent quarters, and management's updated outlook on achieving the 'nearly $20 billion in total CPU revenue this year' target.	Bullish: Reported Vera CPU revenue in Q2 FY27 and subsequent quarters is on track or exceeding the pro-rata portion of the $20 billion FY27 target. Bearish: Reported Vera CPU revenue significantly below expectations OR management lowers the $20 billion FY27 target.	NVIDIA's Q2 FY27 earnings call (August 26, 2026) and subsequent earnings calls.	Tech news outlets covering new CPU deployments by hyperscalers and system makers, industry forums discussing agentic AI CPU adoption.	Gartner/IDC: Server CPU market share reports; Canalys: Enterprise server shipments by CPU type.
NVIDIA's total revenue performance against its Q2 FY27 guidance.	This is the most immediate and comprehensive indicator of overall demand for NVIDIA's AI infrastructure and the pace of the AI supercycle, directly impacting investor sentiment.	NVIDIA's reported total revenue for Q2 FY27 (August 26, 2026) compared to the guidance of $91 billion (+/- 2%).	Bullish: Total revenue exceeds $92.82 billion (upper end of guidance). Bearish: Total revenue falls below $89.18 billion (lower end of guidance).	NVIDIA's Q2 FY27 earnings release and conference call (August 26, 2026).	Financial news headlines, analyst consensus updates, industry reports on AI infrastructure spending.	Bloomberg Terminal: Consensus revenue estimates; Refinitiv Eikon: Earnings surprise data.
Commencement of VeraRubin production shipments and management commentary on supply constraints.	VeraRubin is NVIDIA's next-generation AI platform, crucial for sustained leadership and future revenue. Its successful ramp drives demand for midstream AI materials. Supply constraints could limit upside.	Confirmation of VeraRubin production shipments commencing in Q3 2026. Management's updated commentary on the severity and duration of 'supply constrained throughout the entire life of VeraRubin' and its impact on revenue guidance for Q3 FY27 and beyond.	Bullish: Production commences on schedule in Q3 2026 AND management indicates effective mitigation of supply constraints or better-than-expected initial ramp. Bearish: Delays in production beyond Q3 2026 OR explicit statements that supply constraints will materially limit VeraRubin revenue in FY27.	NVIDIA's Q2 FY27 earnings call (scheduled for August 26, 2026), subsequent earnings calls, and company press releases.	Industry news (e.g., SemiAnalysis, AnandTech), supply chain blogs, government reports on semiconductor manufacturing capacity.	S&P Global Market Intelligence: Semiconductor supply chain lead times for HBM/advanced packaging; Thinknum: NVIDIA job postings for manufacturing/supply chain roles.
NVIDIA's non-GAAP gross margin performance relative to its mid-70s full-year target.	Gross margin is a critical profitability metric. Sustaining high margins despite rising input costs (HBM, advanced packaging) and increasing OpEx is crucial for the long-term bull case and valuation.	NVIDIA's reported non-GAAP gross margin in Q2 FY27 (August 26, 2026) and subsequent quarters. Management's updated full-year FY27 gross margin outlook.	Bullish: Non-GAAP gross margin reported at or above 75% in Q2 FY27 AND management maintains or raises the full-year mid-70s outlook. Bearish: Non-GAAP gross margin reported below 74.5% in Q2 FY27 OR subsequent quarters, OR management lowers the full-year mid-70s gross margin outlook.	NVIDIA's Q2 FY27 earnings release and conference call (August 26, 2026), and CFO commentary on the investor relations website.	Industry reports on HBM and advanced packaging pricing trends, semiconductor manufacturing cost analyses.	TrendForce: HBM pricing trends; Yole Group: Advanced packaging market analysis.
Growth rate of the newly segmented Data Center ACIE (AI clouds, industrial, enterprise) revenue.	This segment represents NVIDIA's expansion beyond hyperscalers into a broader, more diverse customer base, validating the long-term growth and diversification of the AI infrastructure market.	Reported quarter-over-quarter and year-over-year growth rates for the ACIE segment in Q2 FY27 (August 26, 2026) and subsequent quarters. Management commentary on the segment's trajectory.	Bullish: ACIE revenue growth accelerates beyond Q1 FY27's 31% quarter-over-quarter growth OR management reiterates/strengthens expectations for it to grow faster than hyperscale over time. Bearish: ACIE revenue growth decelerates significantly OR management expresses concerns about its expansion.	NVIDIA's Q2 FY27 earnings release and conference call (August 26, 2026), and supplemental financial materials.	Industry reports on enterprise AI adoption, regional AI cloud provider news, government initiatives in sovereign AI.	IDC/Gartner: Enterprise AI spending reports; S&P Global Market Intelligence: AI cloud provider revenue trends.

Key Reported Metrics, Reratings Triggers & Results3 rows

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 w

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.
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.	For NVIDIA Corporation (NVDA) to rerate higher, the Total Revenue metric needs to demonstrate continued acceleration and exceed high market expectations. Specifically, for Q4 FY26, Total Revenue should surpass NVIDIA's own guidance upper limit of $66.3 billion and ideally reach or exceed analyst estimates around $67.2 billion. More critically, the Q1 FY27 revenue guidance needs to be at or above $75 billion, significantly exceeding the current forecast of $71 billion to $72.7 billion. This would signal an accelerating revenue growth trajectory beyond the already strong 67-68% year-over-year growth expected for Q4 FY26.	Achieving these revenue thresholds is crucial as it validates NVIDIA's sustained leadership in the AI infrastructure market and confirms the durability of the AI supercycle. Exceeding expectations, especially in forward guidance, signals that hyperscaler capital expenditures and broader AI adoption are not only robust but accelerating, reinforcing NVIDIA's full-stack systems thesis and expanding total addressable market. This performance would alleviate concerns about potential AI CapEx digestion periods and geopolitical risks, justifying a premium valuation and strengthening its competitive moat against custom silicon.
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.	For NVIDIA Corporation (NVDA) to rerate higher, its Data Center Revenue needs to demonstrate year-over-year growth of 75% or higher in the upcoming Q4 FY26 report or provide guidance for such acceleration in Q1 FY27. This must be accompanied by a Blackwell (GB300) mix exceeding 75% of Blackwell revenue, networking revenue above $9.5 billion in Q4 FY26, and non-GAAP gross margins at or above 75%. Additionally, confirmation and potential upward revision of the $500 billion Blackwell and Rubin revenue visibility through calendar year 2026 would be crucial.	Hitting this threshold validates NVIDIA's accelerating monetization of its Blackwell and Rubin pipeline, reinforcing its dominance in AI infrastructure. It signals sustained hyperscaler CapEx and strong adoption of its full-stack systems, justifying a premium valuation and validating its long-term growth thesis.

Key Questions

Can NVIDIA exceed its Q2 FY27 revenue guidance of $91 billion (+/- 2%), demonstrating continued strong demand and effective management of VeraRubin supply const

Can NVIDIA exceed its Q2 FY27 revenue guidance of $91 billion (+/- 2%), demonstrating continued strong demand and effective management of VeraRubin supply constraints, thereby validating the ongoing AI infrastructure supercycle?

Question 2: Can NVIDIA sustain its non-GAAP gross margins in the mid-70s for the full year, given rising input costs for HBM and advanced packaging, and full-year operating expenses projected to grow in the 'upper forties' year-over-year, confirming its durable pricing power in AI materials?
Question 3: Will NVIDIA's continued exclusion of China data center compute revenue from its outlook, coupled with the long-term threat of hyperscalers developing sophisticated custom silicon, materially impact its global market share and growth trajectory, posing a key downside risk to its long-term dominance?

Earnings Transcript Summary3 rows

2026-05-20 · 2027Q1 Earnings Call

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
1. 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.	The 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.	Total 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.	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.	Total 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.

2026-02-25 · 2026Q4 Earnings Call

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
1. 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.	The 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.	Data 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).	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.	Total 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.

2025-11-19 · 2026Q3 Earnings Call

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
1. 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.	Takeaway: 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.	Data 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).	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.	Data 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).

Transcript Tidbits4 rows

2026-05-20

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
NVIDIA 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.	NVIDIA'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.	The 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.	NVIDIA 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.	Intelligence	The 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'.	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.	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.

2026-05-20

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
NVIDIA 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.	NVIDIA'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.	The 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.	NVIDIA 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.	Midstream	The 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'.	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.	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.	GAAP 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.

2026-02-25

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
NVIDIA 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.	NVIDIA 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.	The 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.	NVIDIA 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.	Intelligence	Space 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.	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.	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.

2025-11-19

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
NVDA 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.).	Competition 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.	Industry-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.	The 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.	Compute		'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.'	'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.

Notes2 rows

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%)

Upcoming Events20 rows

Catalyst ID	Estimated Timing	Estimated Date Start	Estimated Date End	Catalyst	Why It Matters	Ticker Or Theme Specific	Transcript Date	Source Type
NVDA_37bbccd7	second half of the year	2026-07-01	2026-12-31	Commencement of production shipments for NVIDIA's Vera Rubin platform.	The successful ramp and customer adoption of the Rubin platform are crucial for NVIDIA's continued revenue growth, competitive leadership, and gross margin sustainability, as it offers significant performance improvements over Blackwell.	Ticker	2026-02-25	earnings_transcript
NVDA_ce824b94	Q1 and beyond	2026-02-01	2026-12-31	Resolution of supply constraints impacting NVIDIA's Gaming segment.	Persistent supply constraints could be a headwind to Gaming revenue growth in fiscal year 2027, potentially impacting overall revenue and investor sentiment for this segment.	Ticker	2026-02-25	earnings_transcript
NVDA_cd66c95e	we do not know whether any imports will be allowed into China	2026-02-25	2027-01-31	U.S. government decision on allowing imports of NVIDIA's H200 or other competitive data center compute products into China, or a change in NVIDIA's ability to generate revenue from China-based customers.	The inability to ship competitive products to China due to export controls and the lack of revenue from this market significantly limits NVIDIA's total addressable market and growth potential, while allowing local competitors to gain ground.	Ticker	2026-02-25	earnings_transcript
NVDA_91d7be67	second half of this year starting in Q3	2026-07-01	2027-03-31	Commencement of production shipments and subsequent ramp of NVIDIA's VeraRubin platform.	VeraRubin is expected to deliver significantly higher inference throughput and AI factory revenue compared to Blackwell, opening a new $200 billion TAM for NVIDIA. A successful ramp is bullish, while delays or production issues would be bearish.	Ticker	2026-05-20	earnings_transcript
NVDA_f142a069	uncertain whether any imports will be allowed into the country. As a result, consistent with last quarter, we are not including any China data center compute revenue in our outlook.	2026-06-01	2027-01-31	US government allowing imports and NVIDIA generating revenue from H200 shipments to China-based customers.	Generating revenue from China would provide upside to NVIDIA's outlook, which currently excludes this market. Continued restrictions or lack of revenue would remain a bearish overhang.	Ticker	2026-05-20	earnings_transcript
NVDA_4bf2c864	nearly $20 billion in total CPU revenue this year.	2026-06-01	2026-12-31	NVIDIA achieving its target of nearly $20 billion in standalone Vera CPU revenue for the current calendar year.	This represents NVIDIA's entry into a new $200 billion TAM for agentic AI. Achieving this target would be a strong bullish signal for its CPU strategy and market expansion.	Ticker	2026-05-20	earnings_transcript
NVDA_62d4dad4	we expect supply constraints to be the headwind to Gaming in Q1 and beyond.	2026-05-01	2027-01-31	Resolution or significant easing of supply constraints impacting NVIDIA's Gaming segment.	Supply constraints are a headwind to Gaming revenue. Resolution would be bullish, allowing for higher sales, while persistence would continue to limit growth.	Ticker	2026-05-20	earnings_transcript
NVDA_bed7ea29	For the full year, we are still expecting to be in the mid seventies.	2026-02-01	2027-01-31	NVIDIA reporting its full-year fiscal year 2027 non-GAAP gross margin.	Maintaining gross margins in the mid-70s is crucial for profitability given rising input costs and system complexity. Achieving this target would be bullish, while a miss would be bearish.	Ticker	2026-05-20	earnings_transcript
NVDA_706e5870	analysts now forecasting hyperscale CapEx to exceed $1 trillion by 2027	2026-06-01	2027-12-31	Hyperscalers' total capital expenditures exceeding $1 trillion by the end of 2027.	This is a key macro driver for NVIDIA's data center business. Achieving this level of spending would be highly bullish for NVIDIA's revenue trajectory, while a slowdown would be bearish.	Theme	2026-05-20	earnings_transcript
NVDA_71afbfda	AI infrastructure spending is on track to reach $3 trillion to $4 trillion annually by the end of this decade.	2026-06-01	2029-12-31	Global AI infrastructure spending reaching $3 trillion to $4 trillion annually by the end of the decade.	This represents the long-term market opportunity for NVIDIA. Progress towards this target would be highly bullish, indicating sustained demand for its AI platforms and validating the 'Intelligence Infrastructure Supercycle' theme.	Theme	2026-05-20	earnings_transcript
NVDA_559c5797	second half of this year starting in Q3	2026-07-01	2026-09-30	NVIDIA commences production shipments of its next-generation VeraRubin AI platform.	The successful and timely ramp of VeraRubin is crucial for NVIDIA's continued dominance in AI infrastructure, driving significant revenue growth and expanding its total addressable market with a new CPU. Delays or severe supply constraints could negatively impact guidance and investor sentiment.	Ticker	2026-05-20	earnings_transcript
NVDA_6439fc39	uncertain whether any imports will be allowed into the country	2026-05-20	2026-12-31	Resolution of uncertainty regarding H200 imports into China and subsequent revenue generation from China data center compute.	Generating revenue from H200 shipments to China would be a significant positive for NVIDIA's revenue and market share, while continued exclusion or further restrictions would be a persistent headwind.	Ticker	2026-05-20	earnings_transcript
NVDA_ffa35383	consumer demand fell modestly due to higher memory and system prices	2026-05-20	2026-08-26	Future trend in consumer demand for Edge Computing, influenced by memory and system prices.	Continued decline in consumer demand for Edge Computing due to higher prices would negatively impact NVIDIA's Edge Computing segment revenue, while a stabilization or recovery would be a positive signal.	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_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_f4ff6e6e	second half of this year starting in Q3	2026-07-01	2027-01-31	Commencement of production shipments and successful ramp of NVIDIA's VeraRubin platform.	VeraRubin is NVIDIA's next-generation AI platform, and its successful production and market adoption will drive significant revenue, validate market leadership, and impact demand for advanced AI materials. Delays or significant supply constraints could materially impact revenue and investor sentiment.	Ticker	2026-05-20	earnings_transcript
NVDA_0425cbc2	uncertain whether any imports will be allowed into the country	2026-05-20	2027-05-20	Resolution of uncertainty regarding H200 imports to China, or successful revenue generation from approved licenses.	The ability to ship H200 to China would open a significant market for NVIDIA, impacting revenue and global market share. Continued uncertainty or denial of imports would limit growth in this critical region.	Ticker	2026-05-20	earnings_transcript
NVDA_7a1c3415	August 26th	2026-08-26	2026-08-26	NVIDIA's Q2 FY27 earnings release and conference call.	This event will provide actual results for Q2 FY27 revenue, gross margin, and operating expenses, and updated guidance for the full year, which will significantly impact investor sentiment and valuation.	Ticker	2026-05-20	earnings_transcript
NVDA_8e11877a	this year	2026-02-01	2027-01-31	Achievement of nearly $20 billion in Vera standalone CPU revenue and the impact of VeraRubin supply constraints on overall revenue.	Achieving the CPU revenue target validates NVIDIA's expansion into a new $200 billion TAM. Persistent supply constraints on VeraRubin could limit revenue growth and impact customer deployments, affecting the overall $1 trillion Blackwell and Rubin revenue target.	Ticker	2026-05-20	earnings_transcript
NVDA_7e92b712	Q1	2026-05-01	2026-07-31	Trend in consumer demand for Edge Computing products, influenced by memory and system prices.	Continued modest decline in consumer demand could impact Edge Computing revenue growth, signaling price sensitivity and potential demand weakness in this segment.	Ticker	2026-05-20	earnings_transcript