NVIDIA : First Quarter 2025 Presentation

Company Overview

May 23, 2024

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, market opportunity, demand and growth drivers; our financial outlook; the benefits, impact, performance, features and availability of our products and technologies; the benefits, impact, features and timing of our collaborations or partnerships; third parties adopting our products and technologies; NVIDIA accelerated computing being broadly recognized as the way to advance computing as Moore's law ends and AI lifts off; accelerated computing being needed to tackle the most impactful opportunities of our time; AI driving a platform shift from general purpose to accelerated computing, and enabling new, never-before-possible applications; trillion dollars of installed global data center infrastructure transitioning to accelerated computing; broader enterprise adoption of AI and accelerated computing under way; AI and accelerated computing making possible the next big waves of autonomous machines and industrial digitalization; a rapidly growing universe of applications and industry innovation; the ability of developers to engage with NVIDIA through CUDA; AI augmenting creativity and productivity by orders of magnitude across industries ; generative AI as the most important computing platform of our generation; data centers becoming AI factories; large language models being one of today's most important advanced AI technologies, involving up to trillions of parameters that learn from text; full-stack and data center scale acceleration driving significant cost savings and workload scaling; the high ROI of high compute performance; NVIDIA powering the AI industrial revolution; the ability of developers to connect additional or third party services to the AI chatbot via cloud AI APIs; AI factories acting as trusted engines of generative AI; features of AI factories; nations using AI factories as sovereign national resources to process private datasets of companies, startups, universities and governments safely on shore to produce valuable insights; every important company running its own AI factories; NVIDIA generating recurring revenue from AI factories for their use of NVIDIA AI Enterprise, the operating system for enterprise AI, in addition to the up-front revenue opportunity from data center systems; our dividend program plan; our strategic investments; NVIDIA on track to achieve 100% renewable electricity for offices and data centers under operational control by end of FY25; and NVIDIA's plan to engage manufacturing suppliers comprising at least 67% of scope 3 category 1 GHG emissions to effect supplier adoption of science-based targets by end of FY26 are forward-looking statements.

These 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.

Many 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.

NVIDIA uses certain non-GAAP measures in this presentation including non-GAAP gross profit, non-GAAP gross margin, 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."

Headquarters: Santa Clara, CA

NVIDIA pioneered accelerated computing to help solve impactful challenges classical computers cannot. A quarter of a century in the making, NVIDIA accelerated computing is broadly recognized as the way to advance computing as Moore's law ends and AI lifts off.

NVIDIA's platform is installed in several hundred million computers, is available in every cloud and from every server maker, powers over 76% of the TOP500 supercomputers, and has over 5 million developers.

Headquarters: Santa Clara, CA

Headcount: ~29,600

NVIDIA's Accelerated Computing Platform

Full-stack innovation across silicon, systems and software

APPLICATION

FRAMEWORKS

PLATFORM

ACCELERATION

LIBRARIES

SYSTEM

SOFTWARE

HARDWARE

NVIDIA AI

NVIDIA OMNIVERSE

RTX

CUDA-X

CUDA

Magnum IO

DOCA

Base Command

Forge

RTX

DGX

HGX

EGX

OVX

AGX

MLNX

With nearly three decades of singular focus, NVIDIA is expert at accelerating software and scaling compute by a Million-X, going well beyond Moore's law

Accelerated computing requires full-stack innovation-optimizing across every layer of computing-from silicon and systems to software and algorithms, demanding deep understanding of the problem domain

Our full-stackplatforms-NVIDIA AI and NVIDIA Omniverse-accelerate

AI and industrial digitalization workloads We accelerate workloads at data center

scale, across thousands of compute nodes, treating the network and storage as part of the computing fabric

Our platform extends from the cloud and enterprise data centers to supercomputing centers, edge computing and PCs

GPU

CPU

DPU

NIC

SWITCH

SOC

What Is Accelerated Computing?

A full-stack approach: silicon, systems, software

Not just a superfast chip-accelerated computing is a full-stack combination of:

• Chip(s) with specialized processors
• Algorithms in acceleration libraries
• Domain experts to refactor applications

To speed-upcompute-intensive parts of an application

Amdahl's law:

The overall system speed-up (S) gained by optimizing a single part of a system by a factor (s) is limited by the proportion of execution time of that part (p).

1
=
1 − +

For example:

• If 90% of the runtime can be accelerated by 100X, the application is sped up 9X
• If 99% of the runtime can be accelerated by 100X, the application is sped up 50X
• If 80% of the runtime can be accelerated by 500X, or even 1000X, the application is sped up 5X

Why Accelerated Computing?

Advancing computing in the post-Moore's Law era

Accelerated computing is needed to tackle the most impactful opportunities of our time-like AI, climate simulation, drug discovery, ray tracing, and robotics

NVIDIA is uniquely dedicated to accelerated computing

-workingtop-to-bottom, refactoring applications and creating new algorithms, and bottom-to-top-inventing new specialized processors, like RT Core and Tensor Core

"It's the end of Moore's Law as we know it."

-John Hennessy Oct 23, 2018

Trillions of Operations per Second (TOPS)

109

108

107

106

105

104

103

102

GPU-Computing perf

2X per year1000X

In 10 years

1.1X per year

1.5X perf per year

Single-threaded CPU perf

"Moore's Law is dead."

-Jensen Huang, GTC 2013

1980

1990

2000

2010

2020

2030

1000x AI Compute in 8 Years

Blackwell

20,000 TFLOPS

FP4

TFLOPS

		Hopper
		4,000 TFLOPS
		FP8
		Ampere
Pascal	Volta	620 TFLOPS
19 TFLOPS	130 TFLOPS	BF16/FP16
FP16	FP16

2016

2017

2020

2022

2024

Waves of Adoption of Accelerated Computing

A generational computing platform shift

Industrial

Digitalization

Autonomous Vehicles

& Robotics

Enterprise

Cloud Service Providers

& Consumer Internet

A new computing era has begun

Accelerated computing enabled the rise of AI, which is driving a platform shift from general purpose to accelerated computing, and enabling new, never-before-possible applications

The trillion dollars of installed global data center infrastructure will transition to accelerated computing to achieve better performance, energy-efficiency and cost by an order of magnitude

Hyperscale cloud service providers and consumer internet companies have been the early adopters of AI and accelerated computing, with broader enterprise adoption now under way

AI and accelerated computing will also make possible the next big waves-autonomous machines and industrial digitalization

NVIDIA Accelerated Computing for Every Wave

Industrial Digitalization

NVIDIA Omniverse is a software platform for designing, building, and operating 3D and virtual world simulations.

It harnesses the power of NVIDIA graphics and AI technologies and runs on NVIDIA-powered data centers and workstations.

Autonomous Vehicles & Robotics

NVIDIA DRIVE is a full-stack platform for autonomous vehicles (AV) that includes hardware for in-car compute, such as the Orin system-on-chip, and the full AV and AI cockpit software stack.

Enterprise

Cloud Service Providers & Consumer Internet

NVIDIA DGX Cloud is a cloud service that allows enterprises immediate access to the infrastructure and software needed to train advanced models for generative AI and other groundbreaking applications.

NVIDIA AI Enterprise is the operating system of AI, with enterprise-grade security, stability, manageability and support. It is available on all major CSPs and server OEMs and supports enterprise deployment of AI in production.

NVIDIA HGX is an AI supercomputing platform purpose-built for AI. It includes 8 NVIDIA GPUs, as well as interconnect and networking technologies, delivering order-of-magnitude performance speed-ups for AI over CPU servers. It is broadly available from all major server OEMs/ODMs. NVIDIA DGX, an AI server based on the same architecture, along with NVIDIA AI software and support, is also available.

NVIDIA's Accelerated

Computing Ecosystem

• The NVIDIA accelerated computing platform has attracted the largest ecosystem of developers, supporting a rapidly growing universe of applications and industry innovation
• Developers can engage with NVIDIA through CUDA-our parallel computing programming model introduced in 2006-or at higher layers of the stack, including libraries, pre-trained AI models, SDKs and other development tools

Developers

CUDA Downloads*

5.1M	53M
2.5M	26M

2021

2024

2021

2024

AI Startups

GPU-Accelerated Applications

19K	3,700
7K	1700

2021

2024

2021

2024

*Cumulative