Nvidia Announces Financial Results for First Quarter Fiscal 2019

May 10, 2018

May 10 — NVIDIA today reported record revenue for the first quarter ended April 29, 2018, of $3.21 billion, up 66 percent from $1.94 billion a year earlier, and up 10 percent from $2.91 billion in the previous quarter.

GAAP earnings per diluted share for the quarter were a record $1.98, up 151 percent from $0.79 a year ago and up 11 percent from $1.78 in the previous quarter. Non-GAAP earnings per diluted share were $2.05, also a record, up 141 percent from $0.85 a year earlier and up 19 percent from $1.72 in the previous quarter.

“We had a strong quarter with growth across every platform,” said Jensen Huang, founder and chief executive officer of NVIDIA. “Our datacenter business achieved another record and gaming remained strong.

“At the heart of our opportunity is the incredible growth of computing demand of AI, just as traditional computing has slowed. The GPU computing approach we have pioneered is ideal for filling this vacuum. And our invention of the Tensor Core GPU has further enhanced our strong position to power the AI era,” he said.

Capital Return

During the first quarter of fiscal 2019, NVIDIA returned $746 million to shareholders through a combination of $655 million in share repurchases and $91 million in quarterly cash dividends.

For fiscal 2019, NVIDIA intends to return $1.25 billion to shareholders through ongoing quarterly cash dividends and share repurchases.

NVIDIA will pay its next quarterly cash dividend of $0.15 per share on June 15, 2018, to all shareholders of record on May 24, 2018.

Q1 Fiscal 2019 Summary

GAAP
($ in millions except earnings per share) Q1 FY19 Q4 FY18 Q1 FY18 Q/Q Y/Y
Revenue $3,207 $2,911 $1,937 Up 10% Up 66%
Gross margin 64.5% 61.9% 59.4% Up 260 bps Up 510 bps
Operating expenses $773 $728 $596 Up 6% Up 30%
Operating income $1,295 $1,073 $554 Up 21% Up 134%
Net income $1,244 $1,118 $507 Up 11% Up 145%
Diluted earnings per share $1.98 $1.78 $0.79 Up 11% Up 151%

 

Non-GAAP
($ in millions except earnings per share) Q1 FY19 Q4 FY18 Q1 FY18 Q/Q Y/Y
Revenue $3,207 $2,911 $1,937 Up 10% Up 66%
Gross margin 64.7% 62.1% 59.6% Up 260 bps Up 510 bps
Operating expenses $648 $607 $517 Up 7% Up 25%
Operating income $1,428 $1,202 $637 Up 19% Up 124%
Net income $1,285 $1,081 $533 Up 19% Up 141%
Diluted earnings per share $2.05 $1.72 $0.85 Up 19% Up 141%

NVIDIA’s outlook for the second quarter of fiscal 2019 is as follows:

  • Revenue is expected to be $3.10 billion, plus or minus two percent.
  • GAAP and non-GAAP gross margins are expected to be 63.3 percent and 63.5 percent, respectively, plus or minus 50 basis points.
  • GAAP and non-GAAP operating expenses are expected to be approximately $810 million and $685 million, respectively.
  • GAAP and non-GAAP other income and expense are both expected to be income of approximately $15 million.
  • GAAP and non-GAAP tax rates are both expected to be 11.0 percent, plus or minus one percent, excluding any discrete items. GAAP discrete items include excess tax benefits or deficiencies related to stock-based compensation, which are expected to generate variability on a quarter by quarter basis.

First Quarter Fiscal 2019 Highlights
During the first quarter, NVIDIA achieved progress in these areas:

Gaming

  • Gaming revenue grew 68 percent from a year earlier to $1.72 billion.
  • Announced NVIDIA RTX, a groundbreaking computer graphics technology that produces movie-quality images in real time.

Datacenter

  • Datacenter revenue grew 71 percent from a year earlier to a record $701 million.
  • Unveiled at the annual GPU Technology Conference, in San Jose, with nearly 8,500 registered attendees, advances to its deep learning computing platform – including NVIDIA Tesla V100 GPUs with 32GB memory, NVIDIA NVSwitch GPU interconnect fabric and NVIDIA DGX-2, the first server with two petaflops of computational power.
  • Announced TensorRT 4, the latest version of the TensorRT AI inference accelerator software, expanding its reach in the inference market by accelerating deep learning across a much broader range of applications.
  • Announced GPU acceleration for Kubernetes to facilitate enterprise inference deployment on multi-cloud GPU clusters.

Professional Visualization

  • Professional Visualization revenue grew 22 percent from a year earlier to $251 million.
  • Announced the Quadro GV100 GPU with RTX technology, making real-time ray tracing possible on professional design and content creation applications.

Automotive

  • Automotive revenue grew 4 percent from a year earlier to a record $145 million.
  • Introduced the NVIDIA DRIVE Constellation server with DRIVE Sim software, a complete system to safely test drive autonomous vehicles over billions of miles in virtual reality by leveraging NVIDIA GPUs and NVIDIA DRIVE Pegasus.

New Platforms

  • Introduced Project Clara, a medical imaging supercomputer, to revolutionize medical imaging.
  • Announced the Isaac software development kit for robotics, offering a collection of libraries, drivers, APIs and other tools for researchers, developers and startups.
  • Announced that Arm will integrate the open-source NVIDIA Deep Learning Accelerator to bring AI inference to mobile, consumer electronics and Internet of Things devices.

Source: Nvidia Corp.

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Institute for Human-Centered AI (HAI) put out a yearly report to t Read more…

Crossing the Quantum Threshold: The Path to 10,000 Qubits

April 15, 2024

Editor’s Note: Why do qubit count and quality matter? What’s the difference between physical qubits and logical qubits? Quantum computer vendors toss these terms and numbers around as indicators of the strengths of t Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips are available off the shelf, a concern raised at many recent Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announced its second fund targeting €200 million. The very idea th Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. In a way, Nvidia is the new Intel IDF, the hottest chip show Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in its cloud service.  Google claimed the CPU is based on cut Read more…

Exciting Updates From Stanford HAI’s Seventh Annual AI Index Report

April 15, 2024

As the AI revolution marches on, it is vital to continually reassess how this technology is reshaping our world. To that end, researchers at Stanford’s Instit Read more…

Intel’s Vision Advantage: Chips Are Available Off-the-Shelf

April 11, 2024

The chip market is facing a crisis: chip development is now concentrated in the hands of the few. A confluence of events this week reminded us how few chips Read more…

The VC View: Quantonation’s Deep Dive into Funding Quantum Start-ups

April 11, 2024

Yesterday Quantonation — which promotes itself as a one-of-a-kind venture capital (VC) company specializing in quantum science and deep physics  — announce Read more…

Nvidia’s GTC Is the New Intel IDF

April 9, 2024

After many years, Nvidia's GPU Technology Conference (GTC) was back in person and has become the conference for those who care about semiconductors and AI. I Read more…

Google Announces Homegrown ARM-based CPUs 

April 9, 2024

Google sprang a surprise at the ongoing Google Next Cloud conference by introducing its own ARM-based CPU called Axion, which will be offered to customers in it Read more…

Computational Chemistry Needs To Be Sustainable, Too

April 8, 2024

A diverse group of computational chemists is encouraging the research community to embrace a sustainable software ecosystem. That's the message behind a recent Read more…

Hyperion Research: Eleven HPC Predictions for 2024

April 4, 2024

HPCwire is happy to announce a new series with Hyperion Research  - a fact-based market research firm focusing on the HPC market. In addition to providing mark Read more…

Google Making Major Changes in AI Operations to Pull in Cash from Gemini

April 4, 2024

Over the last week, Google has made some under-the-radar changes, including appointing a new leader for AI development, which suggests the company is taking its Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

Leading Solution Providers

Contributors

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

Intel’s Xeon General Manager Talks about Server Chips 

January 2, 2024

Intel is talking data-center growth and is done digging graves for its dead enterprise products, including GPUs, storage, and networking products, which fell to Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire