NVDA earnings call for the period ending June 30, 2024.
Contents:
Prepared Remarks
Questions and Answers
Call Participants
Prepared Remarks:....
*****
....During this call, we will discuss non-GAAP financial measures. You
can find a reconciliation of these non-GAAP financial measures to GAAP
financial measures in our CFO commentary, which is posted on our
website. Let me highlight an upcoming event for the financial community.
We will be attending the Goldman Sachs Communacopia and Technology
Conference on September 11 in San Francisco, where Jensen will
participate in a keynote fireside chat.
Our earnings call to
discuss the results of our third quarter of fiscal 2025 is scheduled for
Wednesday, November 20, 2024. With that, let me turn the call over to
Colette.
Colette M. Kress -- Chief Financial Officer, Executive Vice President
Thanks,
Stewart. Q2 was another record quarter. Revenue of $30 billion was up
15% sequentially and up 122% year on year and well above our outlook of
$28 billion. Starting with Data Center.
Data
Center revenue of $26.3 billion was a record, up 16% sequentially and up
154% year on year, driven by strong demand for NVIDIA Hopper, GPU
computing, and our networking platforms. Compute revenue grew more than
2.5x. Networking revenue grew more than 2x from the last year. Cloud
service providers represented roughly 45% of our Data Center revenue,
and more than 50% stemmed from the consumer Internet and enterprise
companies.
Customers continue to accelerate their Hopper
architecture purchases while gearing up to adopt Blackwell. Key
workloads driving our Data Center growth include generative AI model
training and inferencing; video, image, and text data pre and post
processing with CUDA and AI workloads; synthetic data generation;
AI-powered recommender systems; SQL and Vector database processing as
well. Next-generation models will require 10 to 20 times more compute to
train with significantly more data. The trend is expected to continue.
Over
the trailing four quarters, we estimate that inference drove more than
40% of our Data Center revenue. CSPs, consumer Internet companies, and
enterprises benefit from the incredible throughput and efficiency of
NVIDIA's inference platform. Demand for NVIDIA is coming from frontier
model makers, consumer Internet services, and tens of thousands of
companies and start-ups building generative AI applications for
consumers, advertising, education, enterprise and healthcare, and
robotics. Developers desire NVIDIA's rich ecosystem and availability in
every cloud.
CSPs appreciate the broad adoption of NVIDIA and are
growing their NVIDIA capacity given the high demand. NVIDIA H200
platform began ramping in Q2, shipping to large CSPs, consumer Internet,
and enterprise company. The NVIDIA H200 builds upon the strength of our
Hopper architecture and offering over 40% more memory bandwidth
compared to the H100. Our Data Center revenue in China grew sequentially
in Q2 and a significant contributor to our Data Center revenue.
As
a percentage of total Data Center revenue, it remains below levels seen
prior to the imposition of export controls. We continue to expect the
China market to be very competitive going forward. The latest round of
MLPerf inference benchmarks highlighted NVIDIA's inference leadership
with both NVIDIA Hopper and Blackwell platform combining to win gold
medals on all tasks. At Computex, NVIDIA, with the top computer
manufacturers, unveiled an array of Blackwell architecture-powered
systems and NVIDIA networking for building AI factories and data
centers.
With the NVIDIA MGX modular reference architecture, our
OEMs and ODM partners are building more than 100 Blackwell-based systems
designed quickly and cost-effectively. The NVIDIA Blackwell platform
brings together multiple GPU, CPU, DPU, NVLink, and Link Switch and the
networking chips, systems, and NVIDIA CUDA software to power the next
generation of AI across the cases, industries, and countries. The NVIDIA
GB200 NVL72 system with the fifth-generation NVLink enables all 72 GPUs
to act as a single GPU and deliver up to 30x faster inference for LLM's
workloads and unlocking the ability to run trillion-parameter models in
real time. Hopper demand is strong, and Blackwell is widely sampling.
We
executed a change to the Blackwell GPU mass to improve production
yields. Blackwell production ramp is scheduled to begin in the fourth
quarter and continue into fiscal year '26. In Q4, we expect to get
several billion dollars in Blackwell revenue. Hopper shipments are
expected to increase in the second half of fiscal 2025.
Hopper
supply and availability have improved. Demand for Blackwell platforms is
well above supply, and we expect this to continue into next year.
Networking revenue increased 16% sequentially. Our Ethernet for AI
revenue, which includes our Spectrum-X end-to-end Ethernet platform,
doubled sequentially with hundreds of customers adopting our Ethernet
offerings.
Spectrum-X has broad market support from OEM and ODM
partners and is being adopted by CSPs, GPU cloud providers, and
enterprises, including xAI to connect the largest GPU compute cluster in
the world. Spectrum-X supercharges Ethernet for AI processing and
delivers 1.6x the performance of traditional Ethernet. We plan to launch
new Spectrum-X products every year to support demand for scaling
compute clusters from tens of thousands of GPUs today to millions of
DPUs in the near future. Spectrum-X is well on track to begin a
multibillion-dollar product line within a year.
Our sovereign AI
opportunities continue to expand as countries recognize AI expertise and
infrastructure at national imperatives for their society and
industries. Japan's National Institute of Advanced Industrial Science
and Technology is building its AI Bridging Cloud Infrastructure 3.0
supercomputer with NVIDIA. We believe sovereign AI revenue will reach
low double-digit billions this year. The enterprise AI wave has started.
Enterprises
also drove sequential revenue growth in the quarter. We are working
with most of the Fortune 100 companies on AI initiatives across
industries and geographies. A range of applications are fueling our
growth, including AI-powered chatbots, generative AI copilots, and
agents to build new monetizable business applications and enhance
employee productivity. Amdocs is using NVIDIA generative AI for their
smart agent, transforming the customer experience and reducing customer
service costs by 30%.
ServiceNow is using NVIDIA for its Now
Assist offering, the fastest-growing new product in the company's
history. SAP is using NVIDIA to build dual copilots. Cohesity is using
NVIDIA to build their generative AI agent and lower generative AI
development costs. Snowflake, serves over 3 billion queries a day for
over 10,000 enterprise customers, is working with NVIDIA to build
copilots.
And lastly, is using NVIDIA AI Omniverse to reduce
end-to-end cycle times for their factories by 50%. Automotive was a key
growth driver for the quarter as every automaker developing autonomous
vehicle technology is using NVIDIA in their data centers. Automotive
will drive multibillion dollars in revenue across on-prem and cloud
consumption and will grow as next-generation AV models require
significantly more compute. Health care is also on its way to being a
multibillion-dollar business as AI revolutionizes medical imaging,
surgical robots, patient care, electronic health record processing, and
drug discovery.
During the quarter, we announced a new NVIDIA AI
foundry service to supercharge generative AI for the world's enterprises
with Meta's Llama 3.1 collection of models. This marks a watershed
moment for enterprise AI. Companies for the first time can leverage the
capabilities of an open-source frontier-level model to develop
customized AI applications to encode their institutional knowledge into
an AI flywheel to automate and accelerate their business. Accenture is
the first to adopt the new service to build custom Llama 3.1 models for
both its own use and to assist clients seeking to deploy generative AI
applications.
NVIDIA NIMs accelerate and simplify model
deployment. Companies across healthcare, energy, financial services,
retail, transportation, and telecommunications are adopting NIMs,
including Aramco, Lowes, and Uber. AT&T realized 70% cost savings
and eight times latency reduction after moving into NIMs for generative
AI, call transcription, and classification. Over 150 partners are
embedding NIMs across every layer of the AI ecosystem.
We
announced NIM Agent Blueprint, a catalog of customizable reference
applications that include a full suite of software for building and
deploying enterprise generative AI applications. With NIM Agent
Blueprint, enterprises can refine their AI applications over time,
creating a data-driven AI flywheel. The first NIM Agent Blueprints
include workloads for customer service, computer-aided drug discovery,
and enterprise retrieval augmented generation. Our system integrators,
technology solution providers, and system builders are bringing NVIDIA
NIM Agent Blueprints to enterprises.
NVIDIA NIM
and NIM Agent Blueprints are available through the NVIDIA AI Enterprise
software platform, which has great momentum. We expect our software,
SaaS, and support revenue to approach a $2 billion annual run rate
exiting this year, with NVIDIA AI Enterprise notably contributing to
growth. Moving to gaming and AI PC. Gaming revenue of $2.88 billion
increased 9% sequentially and 16% year on year.
We saw sequential
growth in console, notebook, and desktop revenue, and demand is strong
and growing and channel inventory remains healthy. Every PC with RTX is
an AI PC. RTX PCs can deliver up to 1,300 AI tops and are now over 200
RTX AI laptops designed from leading PC manufacturers. With 600
AI-powered applications and games and an installed base of 100 million
devices, RTX is set to revolutionize consumer experiences with
generative AI.
NVIDIA ACE, a suite of generative AI technologies
is available for RTX AI PCs. Megabreak is the first game to use NVIDIA
ACE, including our small language model, Nemotron 4B optimized on device
inference. The NVIDIA gaming ecosystem continues to grow. Recently
added RTX and DLSS titles include Indiana Jones and The Great Circle,
Awakening, and Dragon Age: The Vanguard.
The
GeForce NOW library continues to expand with total catalog size of over
2,000 titles, the most content of any cloud gaming service. Moving to
pro visualization. Revenue of $454 million was up 6% sequentially and
20% year on year. Demand is being driven by AI and graphic use cases,
including model fine-tuning and Omniverse-related workloads.
Automotive
and manufacturing were among the key industry verticals driving growth
this quarter. Companies are racing to digitalize workflows to drive
efficiency across their operations. The world's largest electronics
manufacturer, Foxconn, is using NVIDIA Omniverse to power digital twins
of the physical plants that produce NVIDIA Blackwell systems. And
several large global enterprises, including Mercedes-Benz, signed
multiyear contracts for NVIDIA Omniverse Cloud to build industrial
digital twins of factories.
We announced new
NVIDIA USD NIMs and connectors to open Omniverse to new industries and
enable developers to incorporate generative AI copilots and agents into
USD workloads, accelerating our ability to build highly accurate virtual
worlds. WPP is implementing the USD NIM microservices in its generative
AI-enabled content creation pipeline for customers such as The
Coca-Cola Company. Moving to automotive and robotics. Revenue was $346
million, up 5% sequentially and up 37% year on year.
Year-on-year
growth was driven by the new customer ramp in self-driving platforms
and increased demand for AI cockpit solutions. At the consumer -- at the
Computer Vision and Pattern Recognition Conference, NVIDIA won the
Autonomous Brand Challenge in the end-to-end driving upscale category,
outperforming more than 400 entries worldwide. Boston Dynamics, BYD
Electronics, Figure, Intrinsyc, Siemens, and Teradyne Robotics are using
the NVIDIA Isaac robotics platform for autonomous robot arms,
humanoids, and mobile robots. Now, moving to the rest of the P&L.
GAAP
gross margins were 75.1% and non-GAAP gross margins were 75.7%, down
sequentially due to a higher mix of new products within Data Center and
inventory provisions for low-yielding Blackwell material. Sequentially,
GAAP and non-GAAP operating expenses were up 12%, primarily reflecting
higher compensation-related costs. Cash flow from operations was $14.5
billion. In Q2, we utilized cash of $7.4 billion toward shareholder
returns in the form of share repurchases and cash dividends, reflecting
the increase in dividend per shareholder.
Our
board of directors recently approved a $50 billion share repurchase
authorization to add to our remaining $7.5 billion of authorization at
the end of Q2. Let me turn the outlook for the third quarter. Total
revenue is expected to be $32.5 billion, plus or minus 2%. Our
third-quarter revenue outlook incorporates continued growth of our
Hopper architecture and sampling of our Blackwell products.
We
expect Blackwell production ramp in Q4. GAAP and non-GAAP gross margins
are expected to be 74.4% and 75%, respectively, plus or minus 50 basis
points. As our Data Center mix continues to shift to new products, we
expect this trend to continue into the fourth quarter of fiscal 2025.
For the full year, we expect gross margins to be in the mid-70% range.
GAAP
and non-GAAP operating expenses are expected to be approximately $4.3
billion and $3.0 billion, respectively. Full-year operating expenses are
expected to grow in the mid- to upper 40% range as we work on
developing our next generation of products. GAAP and non-GAAP other
income and expenses are expected to be about $350 million, including
gains and losses from nonaffiliated investments and publicly held equity
securities. GAAP and non-GAAP tax rates are expected to be 17%, plus or
minus 1%, excluding any discrete items.
Further financial
details are included in the CFO commentary and other information
available on our IR website. We are now going to open the call for
questions. Operator, would you please help us poll for questions?
Questions & Answers:....
The stock ended the after-hours session down another $8.66 (-6.89%) at $116.95, bringing the day's cumulative loss to $11.35 (-8.85%).
More to come tomorrow.