{ "docId": "019de518-a1a0-765c-9086-010ff75c5855", "docSlug": "ab042dbf3a4ce97fae12a19dc19df3cb", "documentTitle": "NVIDIA | Investor Presentation Deck | 32 slides", "authorId": "nvidia", "authorName": "NVIDIA", "documentKindSlug": "conference-presentation", "documentKindLabel": "Conference presentation", "sourceTypeSlug": "investor_relations", "sourceTypeLabel": "Investor relations", "presentationDate": "2024-10-01 00:00:00", "orientation": "landscape", "aspectRatio": 1.7777778, "pageNumber": 2, "pageCount": 32, "prevPage": 1, "nextPage": 3, "slideType": "disclaimer", "function": "front_matter", "density": "balanced", "nDataPoints": 0, "notes": null, "elementsJson": null, "metadataConfidence": 1, "imagePath": null, "slideHref": "/slides/019de518-a1a0-765c-9086-010ff75c5855/2", "deckHref": "/decks/019de518-a1a0-765c-9086-010ff75c5855", "deckJsonHref": "/decks/019de518-a1a0-765c-9086-010ff75c5855.json", "deckAnchorHref": "/decks/019de518-a1a0-765c-9086-010ff75c5855#slide-2", "components": [ { "bbox": { "h": 0.96, "w": 0.96, "x": 0.02, "y": 0.02 }, "kind": "disclaimer", "text": "Except for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: our financial position; our markets and market opportunity; demand and supply; demand and growth drivers; the benefits, impact, performance, features and availability of our products and technologies; Blackwell platform being in full production - expanding to support x86 and NVIDIA Grace, air and liquid cooling, NVLink 8-GPU to NVLink 72-GPU, InfiniBand and Ethernet, CSP, regional AI factories, and enterprise platforms; AI training continuing scaling law; the $1T installed base of general-purpose CPU data center infrastructure being modernized to a new GPU accelerated computing paradigm; AI Factories expanding the data center footprint to $2T and beyond in the coming years; companies in every industry operating AI factories as the digital twin of their workforce, manufacturing plants, and products; every company producing digital intelligence; tokens being the transformed into intelligent responses and actions of digital nurses, tutors, customer service agents, and chip designers, manufacturing robots and autonomous cars, and weather prediction agents to warn us of storms; some companies building and operating AI factories, while others renting; countries awakening to the need to treat its data as a national resource and AI factories as an essential national infrastructure; data being able to be transformed into the sovereign AI for its companies, startups, universities and governments; NVIDIA being able to address many major workloads across a wide range of industries; accelerated computing enabling full-stack optimization from algorithm to GPU architecture; AI scaling laws driving exponential demand for compute; NVIDIA being the leading inference platform; inference compute scaling exponentially with \"long thinking\"; compute demand for AI scaling exponentially; model size, multi-modality, synthetic data generation and reinforcement learning scaling computing capacity by ~4x per year; NVIDIA NVLink enabling new level of AI training & inference scaling; NVIDIA addressing the entire AI market; NVIDIA being able to address every industry from healthcare, manufacturing, and transportation to retail, CSPs, and telecommunications; NVIDIA AI platform and ecosystem reaching every market; AI driving investment cycle and significant returns; AI accelerating scientific discovery, creativity, and productivity across industries; AI agents being able to generate documents, review contracts, help code and debug software, operationalize marketing campaigns, and review medical images; social media, search and e-commerce apps using deep recommenders; creators being able to generate stunning, photorealistic images or 3D objects with a single text prompt; call center agents augmented with AI chatbots being able to scale to deliver customer care during peak times, run in-the-loop with customer support to provide better service, and capture every interaction to build institutional knowledge in high turnover industries; drug discovery seeing order-of-magnitude workflow acceleration using generative for candidate drug generation and target selection; manufacturing using generative AI to generate ideas to inspire designers, accelerate the planning and layout of factories and warehouses, and for self-learning robots that can handle diverse tasks in changing environments; climate tech scientists using AI to discover new materials for better batteries, emulate complex physics to predict long-range weather, estimate carbon-capture sites, optimize wind farm output; companies leveraging AI to unlock new monetizable applications, enhance employee productivity, and transform their business models; industrial AI applications serving large markets - including 10M factories, 200K warehouses, billions of humanoid robots, and 100M autos manufactured each year; specialized AI co-pilots collaborating with employees, being given access to necessary data, using platform tools like SAP, Snowflake, or ServiceNow, and collaborating with other AI agents; the world's companies hiring billions of AI agents in its workforce; NVIDIA AI Enterprise enabling IT ecosystem with state-of-the-art AI models and libraries to build agentic AI; physical AI embodying robotic systems; nations are awakening to the imperative to produce artificial intelligence using their own infrastructure, data, workforces and business networks; and nations building domestic computing capacity through various models are forward-looking statements.\nThese forward-looking statements and any other forward-looking statements that go beyond historical facts that are made in this presentation are subject to risks and uncertainties that may cause actual results to differ materially. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences and demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems and other factors. NVIDIA has based these forward-looking statements largely on its current expectations and projections about future events and trends that it believes may affect its financial condition, results of operations, business strategy, short-term and long-term business operations and objectives, and financial needs. These forward-looking statements are subject to a number of risks and uncertainties, and you should not rely upon the forward-looking statements as predictions of future events. The future events and trends discussed in this presentation may not occur and actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. Although NVIDIA believes that the expectations reflected in the forward-looking statements are reasonable, the company cannot guarantee that future results, levels of activity, performance, achievements or events and circumstances reflected in the forward-looking statements will occur. Except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances. For a complete discussion of factors that could materially affect our financial results and operations, please refer to the reports we file from time to time with the SEC, including our most recent Annual Report on Form 10-K, Quarterly Reports on Form 10-Q, and Current Reports on Form 8-K. Copies of reports we file with the SEC are posted on our website and are available from NVIDIA without charge.\nMany of the products and features described herein remain in various stages and will be offered on a when-and-if-available basis. The statements within are not intended to be, and should not be interpreted as a commitment, promise, or legal obligation, and the development, release, and timing of any features or functionalities described for our products is subject to change and remains at the sole discretion of NVIDIA. NVIDIA will have no liability for failure to deliver or delay in the delivery of any of the products, features or functions set forth herein.\nNVIDIA uses certain non-GAAP measures in this presentation including non-GAAP operating income, non-GAAP operating margin, and free cash flow. NVIDIA believes the presentation of its non-GAAP financial measures enhances investors' overall understanding of the company's historical financial performance. The presentation of the company's non-GAAP financial measures is not meant to be considered in isolation or as a substitute for the company's financial results prepared in accordance with GAAP, and the company's non-GAAP measures may be different from non-GAAP measures used by other companies. Further information relevant to the interpretation of non-GAAP financial measures, and reconciliations of these non-GAAP financial measures to the most comparable GAAP measures, may be found in the slide titled \"Reconciliation of Non-GAAP to GAAP Financial Measures\".", "attrs": null, "subkind": null, "toolName": null, "toolSlug": null, "confidence": null, "componentId": "65f2128e-9760-4910-ba04-a135bc2b14fa", "frameworkName": null, "frameworkSlug": null } ], "metrics": [], "tools": [], "frameworks": [], "arcBeats": [ { "to": 5, "from": 1, "beatId": "d8f3a270-0b58-44a2-845c-c55910509abc", "arcName": "AIDA", "arcSlug": "aida", "beatName": "Attention", "beatSlug": "aida-attention", "evidence": "The first few slides introduce NVIDIA and highlight its achievements in AI", "position": 0, "confidence": 0.8, "parentBeatName": "Hook", "parentBeatSlug": "hook" } ], "loops": [], "imagePathAlt": null, "thumbSrc": null, "thumbSrcAlt": null, "locked": true }