NVIDIA Earnings Call Transcripts
Fiscal Year 2027
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Record quarterly revenue and free cash flow driven by surging AI infrastructure demand, with Data Center and Edge Computing segments both posting strong growth. New product launches, expanded partnerships, and increased capital returns highlight robust outlook.
Fiscal Year 2026
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SIGGRAPH 2026 showcased the convergence of graphics, simulation, and AI, highlighting DLSS 5's real-time photorealism and artistic control, AI-accelerated scientific simulations, and the launch of Cosmos, an open foundation model for physical AI and robotics.
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The meeting featured strong financial results, major AI-driven growth initiatives, and a significant increase in capital returns. Shareholders approved all management proposals and a shift to simple majority voting, while proposals on faith-based groups, DEI reporting, and emissions disclosure were rejected.
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Vera Rubin and new CPU platforms are set for Q3, targeting agentic AI and expanding into AI PCs. Revenue is balanced between hyperscalers and AI clouds, with strong demand and improved ROI driving growth. Long-term supply planning and system-level innovation support robust margins and increased shareholder returns.
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Major announcements included a commitment to return over 50% of free cash flow to shareholders and the launch of Vera Rubin, a custom CPU for agentic AI computing. The company is reshaping the PC and data center landscape with distributed AI, robust supply chain growth, and a focus on energy efficiency and software innovation.
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Agentic AI has arrived, driving a new era of productivity and economic growth. NVIDIA unveiled Vera Rubin, a multi-rack system for agentic workloads, and Vera CPU, a processor built for agents, alongside open models and toolkits for enterprise AI. The company is reinventing the PC and expanding into robotics and autonomous vehicles.
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Networking revenue surged 199% to $14.9B, fueled by integrated AI factory solutions and growth in NVLink, InfiniBand, Spectrum-X, and BlueField. Spectrum-X Ethernet was highlighted for its zero-jitter, lossless design, while co-packaged optics are being adopted to optimize power in large-scale AI deployments.
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AI is entering a new era with agentic systems and token-based computing, driving exponential growth across cloud and enterprise markets. The company has strong visibility into $1 trillion+ demand through 2027, with new products and architectures expanding the addressable market and sustaining high margins.
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The conference unveiled major advances in AI infrastructure, including the Vera Rubin supercomputer, the DSX digital twin platform for AI factories, and the OpenClaw agentic OS. NVIDIA emphasized its expanding ecosystem, open models, and partnerships, projecting a trillion-dollar AI infrastructure market and a shift toward agentic and physical AI across industries.
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A full-stack approach and relentless innovation have driven exponential growth in AI and compute demand, with token production now central to business and national economies. The future will see agentic and physical AI transform industries, while strategic investments and supply chain strength ensure continued leadership.
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Record Q4 and FY2026 results driven by explosive data center and networking growth, with strong demand for Blackwell and Rubin architectures. Outlook remains robust, though supply constraints and China-related uncertainties persist.
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A landmark partnership is integrating AI, accelerated computing, and digital twins to transform design, simulation, and manufacturing. This collaboration will enable real-time, large-scale innovation, empower engineers with AI companions, and drive the next wave of industrial transformation.
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AI is fundamentally reinventing computing and enterprise operations, shifting value from coding to domain expertise and intent-driven problem-solving. Organizations are urged to experiment broadly with AI, focus on their most impactful work, and embed AI into core processes to remain competitive.
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The event detailed advances in co-packaged optics for AI data centers, highlighting major infrastructure innovations, significant power and performance gains, and upcoming deployments with key partners. Enhanced reliability, flexible connectivity, and annual technology improvements were emphasized.
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Agentic AI and open models are driving a paradigm shift in healthcare and life sciences, with rapid adoption, major partnerships, and new AI-powered lab automation accelerating drug discovery and clinical workflows. Cost reductions and sovereign AI infrastructure are enabling global scale.
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Major transitions to accelerated, generative, and Agentic AI are fueling exponential demand and innovation, with the Vera Rubin platform set for launch and strong growth in networking and data center spending. Supply and demand remain robust, with significant opportunities in China and new technology partnerships.
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Vera Rubin is entering full production with a rapid ramp expected, supported by robust supply chain investments and strong demand. Technological advances in co-design, networking, and storage are driving performance and margin sustainability. The platform's universal AI compatibility and focus on agentic systems position it for continued leadership and growth.
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AI is driving a dual platform shift, reinventing the computing stack and accelerating open-source innovation. Advances in agentic and physical AI, integration with major enterprise and industrial platforms, and the launch of the Vera Rubin supercomputer are enabling rapid progress in autonomous vehicles, robotics, and large-scale AI applications.
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Q3 revenue surged 62% year-over-year to $57B, led by record Data Center growth and strong demand for AI infrastructure. Guidance for Q4 anticipates $65B revenue, with gross margins in the mid-70% range, and continued robust demand across all segments.
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Record quarterly revenue of $46.7B driven by strong data center and networking growth, with Blackwell and Blackwell Ultra platforms ramping rapidly. Q3 revenue is projected at $54B, with continued high demand for AI infrastructure and ongoing geopolitical risks affecting China shipments.
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Q1 revenue surged 69% year-over-year to $44B, led by data center and Blackwell GPU ramp, but new U.S. export controls on China resulted in a $4.5B write-down and lost access to a $50B market. Guidance anticipates $45B Q2 revenue, with continued growth offset by China headwinds.
Fiscal Year 2025
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Leaders from Google Cloud and NVIDIA discussed their decade-long partnership, emphasizing AI as a transformative force akin to a new industrial revolution. They highlighted technical innovations, rapid adoption strategies, and the importance of leadership in driving AI-enabled productivity and government transformation.
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Accelerated computing is driving a multi-trillion-dollar shift in data center infrastructure, with strong demand for both new and legacy architectures. Competitive advantage is maintained through integrated hardware-software solutions, robust partnerships, and a clear product roadmap, while financial discipline supports sustained growth.
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NVIDIA and Synopsys announced a multi-year, non-exclusive partnership to integrate AI and accelerated computing into engineering design, targeting dramatic speed-ups and cost reductions across industries. The collaboration includes a $2B investment and aims to address key design bottlenecks by 2026.
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The event highlighted a historic shift to accelerated computing and AI, with major announcements including the NVIDIA ARC 6G platform, NVQLink for quantum-GPU integration, and the rise of AI factories. Strategic partnerships, open-source leadership, and US-based manufacturing are driving exponential growth and industry transformation.
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A historic partnership will see joint development of custom x86 CPUs and SoCs, integrating NVIDIA's AI and GPU technologies with Intel's CPUs for data centers and PCs. The collaboration targets a $25–50 billion annual market, leveraging advanced packaging and multi-year architectural work.
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Data center infrastructure investment is accelerating, with annual product innovation driving strong growth in compute and networking. New architectures and supply chain agility support leadership in AI, while financial performance and strategic capital allocation remain robust.
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The meeting covered strong financial growth, major AI infrastructure initiatives, and robust shareholder engagement. All director nominees and key management proposals were approved, while stockholder proposals on governance and workforce reporting were not.
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AI infrastructure is expanding rapidly worldwide, with Europe focusing on sovereign and industrial AI, supported by government-backed projects and local cloud providers. Quantum-classical computing, post-training, and packaged AI solutions are driving innovation, while supply chain diversification and strong financial discipline underpin growth.
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Generative and agentic AI are transforming computing, driving surging demand for accelerated infrastructure and reshaping data centers into AI factories. Major product launches, open-source initiatives, and industry partnerships are enabling rapid innovation across sectors.
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Networking is now central to AI data center performance, with scale-up and scale-out architectures evolving rapidly to support massive, distributed workloads. InfiniBand and Spectrum-X offer tailored solutions, while innovations like NVLink Fusion and Co-Packaged Silicon Photonics drive efficiency and ecosystem growth.
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The conference highlighted surging demand for AI infrastructure, with sovereign AI projects and Blackwell architecture driving growth. Regulatory challenges in China persist, but strong networking and gaming segments, along with a positive margin outlook, support a robust long-term AI opportunity.
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DeepSeek R1 has set a new standard for open, reasoning AI models, driving a surge in token generation and multi-GPU inference demand. Sovereign AI initiatives and rapid infrastructure expansion are fueling global growth, while ongoing hardware and software innovation remain central to competitiveness.
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AI is now seen as critical infrastructure, with new products like Grace Blackwell GB300, NVLink Fusion, and DGX Spark enabling scalable, customizable AI factories and enterprise solutions. Partnerships across Taiwan and globally are driving advances in robotics, digital twins, and enterprise AI platforms.
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Major announcements included new AI infrastructure for cloud, enterprise IT, and robotics, with strong industry partnerships and a focus on AI factories as the next growth driver. Blackwell architecture and NVLink enable massive scaling, while demand for GPUs and AI infrastructure is expected to surge across all industries.
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AI is entering a new era with agentic and physical models, driving a 100x increase in computational needs and transforming data center architectures. Major product launches, open-source initiatives, and industry partnerships are accelerating adoption across cloud, enterprise, and robotics.
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Strong demand for AI compute drove sequential data center growth, with customers adopting both Hopper and Blackwell architectures. Supply chain scaling, margin recovery, and expanding software and services are key focuses, while export controls and competition remain ongoing challenges.
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AI is transforming healthcare through digital devices, biology, and health agents, with rapid advances in genomics, drug discovery, and clinical workflow automation. Lower costs and regulatory progress are accelerating adoption, with major milestones expected soon.
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Q4 revenue surged 78% year-on-year to $39.3B, led by record data center growth and rapid Blackwell ramp. Gross margins dipped due to new product launches but are expected to recover as Blackwell scales. AI demand remains robust across all segments, with strong guidance for Q1.
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AI and accelerated computing are transforming healthcare through generative, agentic, and physical AI, with major partnerships announced to advance clinical trials, genomics, and digital pathology. New platforms and models democratize drug discovery and robotics, targeting a multi-hundred-billion-dollar market.
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Blackwell and Hopper products are shipping strongly, driving sequential revenue growth above initial guidance. Long-term, accelerated computing and AI adoption across sectors, including automotive and robotics, are expected to sustain multi-year growth, with supply chain scaling to meet demand.
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The discussion highlighted robust AI-driven growth, new product launches, and ongoing supply challenges. Enterprise and vertical markets are expanding rapidly, with innovation in both compute and networking. The transition to accelerated computing and AI is expected to drive sustained, multi-year growth.
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Major advancements were unveiled, including the RTX Blackwell GPU family, the open-source Cosmos world foundation model for physical AI, and new platforms for agentic AI and robotics. Strategic partnerships and a three-computer approach are set to accelerate digitalization in industry and autonomous vehicles.
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Q3 saw record revenue and data center growth, driven by strong AI demand and the Blackwell platform ramp. Gross margins are moderating as Blackwell scales, with supply constraints impacting gaming. Outlook remains robust, with Q4 revenue expected to rise and margins to recover as production stabilizes.
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Q2 revenue surged 122% year-over-year to $30B, led by data center and AI demand. Blackwell platform ramps in Q4, with strong guidance for continued growth and robust margins. Shareholder returns and new product launches highlight ongoing momentum.
Fiscal Year 2024
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AI adoption is accelerating across industries, driving strong demand for new architectures like Blackwell, which faces ongoing supply constraints. Financial strength enables investment in innovation and shareholder returns, while growth in networking, software, and edge AI continues.
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The conference highlighted the end of Moore's Law, the rise of accelerated computing, and the shift to AI-driven software. India is rapidly expanding its AI infrastructure and ecosystem, with new platforms enabling agentic and physical AI for enterprises and industry.
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Revised summary: The event showcased the impact of accelerated computing and AI across industries, unveiling the Blackwell platform, CUDA-X libraries, and NIM Agent Blueprints for secure, scalable AI. Real-world uses in healthcare, manufacturing, cybersecurity, and climate science were featured, with emphasis on collaboration and workforce upskilling.
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Accelerated computing is transforming data centers and enabling generative AI, with rapid innovation cycles and a strong ecosystem driving significant ROI and new digital skills. Supply chain agility and architectural consistency underpin a robust competitive position, while surging demand and delivery pressures remain key challenges.
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The session explored Meta's AI evolution, the rollout of AI Studio for creators, and the open-source Llama ecosystem. Announcements included new video segmentation models and smart glasses with integrated AI. The discussion emphasized open platforms, personalized AI agents, and the rapid impact of generative AI.
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NVIDIA and HPE announced a deep partnership to launch HPE Private Cloud AI, a turnkey solution integrating NVIDIA’s AI stack with HPE’s infrastructure and GreenLake cloud. The offering simplifies enterprise AI adoption, supports rapid scaling, and features advanced liquid cooling for sustainability.
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The meeting covered strong financial growth, major product launches, and strategic expansion into AI, healthcare, and manufacturing. All board nominees and proposals, including a shift to simple majority voting, were approved. Key risks and sustainability efforts were also discussed.
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The conference highlighted rapid AI hardware innovation, with new platforms like Blackwell and Rubin, and a shift toward denser, more efficient data centers. Hyperscalers are seeing strong ROI from GPU investments, while foundational models and mixture of experts architectures drive smarter AI.
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The event highlighted a new era in computing, driven by accelerated architectures, generative AI, and robotics. Major announcements included the Blackwell platform, digital human technologies, and a vision for AI-powered factories and physical AI, all underpinned by rapid innovation cycles.