NVIDIA Announces Financial Results for First Quarter Fiscal 2018

May 10, 2017

SANTA CLARA, Calif., May 10, 2017 — NVIDIA (NASDAQ: NVDA) has reported revenue for the first quarter ended April 30, 2017, of $1.94 billion, up 48 percent from $1.30 billion a year earlier, and down 11 percent from $2.17 billion in the previous quarter.

GAAP earnings per diluted share for the quarter were $0.79, up 126 percent from $0.35 a year ago and down 20 percent from $0.99 in the previous quarter. Non-GAAP earnings per diluted share were $0.85, up 85 percent from $0.46 a year earlier and down 25 percent from $1.13 in the previous quarter.

“The AI revolution is moving fast and continuing to accelerate,” said Jensen Huang, founder and chief executive officer of NVIDIA. “NVIDIA’s GPU deep learning platform is the instrument of choice for researchers, internet giants and startups as they invent the future.

“Our Datacenter GPU computing business nearly tripled from last year, as more of the world’s computer scientists engage deep learning. One industry after another is awakening to the power of GPU deep learning and AI, the most important technology force of our time,” he said.

Capital Return
For fiscal 2018, NVIDIA intends to return $1.25 billion to shareholders through ongoing quarterly cash dividends and share repurchases. During the first quarter of fiscal 2018, NVIDIA paid $82 million in cash dividends.

NVIDIA will pay its next quarterly cash dividend of $0.14 per share on June 14, 2017, to all shareholders of record on May 23, 2017.

Q1 FY2018 Summary

GAAP
($ in millions except earnings per share) Q1 FY18 Q4 FY17 Q1 FY17 Q/Q Y/Y
Revenue $1,937 $2,173 $1,305 down 11% up 48%
Gross margin 59.4% 60.0% 57.5% down 60 bps up 190 bps
Operating expenses $596 $570 $506 up 5% up 18%
Operating income $554 $733 $245 down 24% up 126%
Net income $507 $655 $208 down 23% up 144%
Diluted earnings per share $0.79 $0.99 $0.35 down 20% up 126%
Non-GAAP
($ in millions except earnings per share) Q1 FY18 Q4 FY17 Q1 FY17 Q/Q Y/Y
Revenue $1,937 $2,173 $1,305 down 11% up 48%
Gross margin 59.6% 60.2% 58.6% down 60 bps up 100 bps
Operating expenses $517 $498 $443 up 4% up 17%
Operating income $637 $809 $322 down 21% up 98%
Net income $533 $704 $263 down 24% up 103%
Diluted earnings per share $0.85 $1.13 $0.46 down 25% up 85%

NVIDIA’s outlook for the second quarter of fiscal 2018 is as follows:

  • Revenue is expected to be $1.95 billion, plus or minus two percent.
  • GAAP and non-GAAP gross margins are expected to be 58.4 percent and 58.6 percent, respectively, plus or minus 50 basis points.
  • GAAP operating expenses are expected to be approximately $605 million. Non-GAAP operating expenses are expected to be approximately $530 million.
  • GAAP other income and expense is expected to be an expense of approximately $8 million, inclusive of additional charges from early conversions of convertible notes. Non-GAAP other income and expense is expected to be an expense of approximately $3 million.
  • GAAP and non-GAAP tax rates for the second quarter of fiscal 2018 are both expected to be 17 percent, plus or minus one percent, excluding any discrete items.
  • Weighted average shares used in the GAAP and non-GAAP diluted EPS calculations are dependent on the weighted average stock price during the quarter.
  • Capital expenditures are expected to be approximately $55 million to $65 million.

First Quarter Fiscal 2018 Highlights
During the first quarter, NVIDIA achieved broad progress.

Gaming:

  • Announced GeForce® GTX 1080 Ti, the world’s fastest gaming GPU.
  • Announced TITAN Xp for enthusiasts and researchers requiring extreme performance.

Datacenter:

  • Announced with Microsoft that it is bringing NVIDIA® Tesla® P100 and P40 GPUs to the Azure cloud.
  • Announced that NVIDIA Tesla accelerators designed for datacenter AI capabilities were added to Google Cloud, Tencent Cloud,IBM Cloud, and Baidu Cloud.
  • Announced that Tokyo Institute of Technology will use NVIDIA’s accelerated computing platform to create Japan’s fastest AI supercomputer, TSUBAME3.0.
  • Announced that Fujitsu is using 24 NVIDIA DGX-1™ AI systems to build a new AI supercomputer for RIKEN, Japan’s largest research center.
  • Announced together with Facebook the Caffe2 deep learning framework and Big Basin servers with Tesla P100 GPUs.
  • Announced plans to train 100,000 developers this year, a 10x increase over 2016, through the NVIDIA Deep Learning Institute.
  • Announced NVIDIA Jetson™ TX2, a high-performance, low-power computer platform for delivering AI at the edge, with deep learning and computer vision capabilities for robots, drones and smart cameras.

Automotive:

  • Announced with Bosch, the world’s largest auto supplier, plans to create a new Bosch-branded AI self-driving car computer.
  • Announced a collaboration with PACCAR, one of the world’s largest truck makers with brands including Peterbilt, Kenworth and DAF, to develop solutions for autonomous trucks.

CFO Commentary
Commentary on the quarter by Colette Kress, NVIDIA’s executive vice president and chief financial officer, is available at http://investor.nvidia.com/.

Conference Call and Webcast Information
NVIDIA will conduct a conference call with analysts and investors to discuss its first quarter fiscal 2018 financial results and current financial prospects today at 2 p.m. Pacific time (5 p.m. Eastern time). To listen to the conference call, dial (877) 223-3864 in the United States or (574) 990-1377 internationally, and provide the following conference ID: 4018413. A live webcast (listen-only mode) of the conference call will be accessible at NVIDIA’s investor relations website, http://investor.nvidia.com, and at www.streetevents.com. The webcast will be recorded and available for replay until the company’s conference call to discuss its financial results for its second quarter of fiscal 2018.

Non-GAAP Measures
To supplement NVIDIA’s Condensed Consolidated Statements of Income and Condensed Consolidated Balance Sheets presented in accordance with GAAP, the company uses non-GAAP measures of certain components of financial performance. These non-GAAP measures include non-GAAP gross profit, non-GAAP gross margin, non-GAAP operating expenses, non-GAAP income from operations, non-GAAP other income (expense), non-GAAP income tax expense, non-GAAP net income, non-GAAP net income, or earnings, per diluted share, non-GAAP diluted shares, revenue excluding Intel license, and free cash flow. In order for NVIDIA’s investors to be better able to compare its current results with those of previous periods, the company has shown a reconciliation of GAAP to non-GAAP financial measures. These reconciliations adjust the related GAAP financial measures to exclude stock-based compensation expense, legal settlement costs, acquisition-related costs, contributions, restructuring and other charges, gains from non-affiliated investments, interest expense related to amortization of debt discount, loss on early debt conversions, and the associated tax impact of these items, where applicable. Weighted average shares used in the non-GAAP diluted net income per share computation includes the anti-dilution impact of the company’s Note Hedge. Free cash flow is calculated as GAAP net cash provided by operating activities less purchases of property and equipment and intangible assets. NVIDIA believes the presentation of its non-GAAP financial measures enhances the user’s 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 its non-GAAP measures may be different from non-GAAP measures used by other companies.

About NVIDIA

NVIDIA‘s (NASDAQ: NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. More information at http://nvidianews.nvidia.com/.


Source: NVIDIA

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!

Argonne’s HPC/AI User Forum Wrap Up

September 11, 2024

As fans of this publication will already know, AI is everywhere. We hear about it in the news, at work, and in our daily lives. It’s such a revolutionary technology that even established events focusing on HPC specific Read more…

Quantum Software Specialist Q-CTRL Inks Deals with IBM, Rigetti, Oxford, and Diraq

September 10, 2024

Q-CTRL, the Australia-based start-up focusing on quantum infrastructure software, today announced that its performance-management software, Fire Opal, will be natively integrated into four of the world's most advanced qu Read more…

Computing-Driven Medicine: Sleeping Better with HPC

September 10, 2024

As a senior undergraduate student at Fisk University in Nashville, Tenn., Ifrah Khurram's calculus professor, Dr. Sanjukta Hota, encouraged her to apply for the Sustainable Research Pathways Program (SRP). SRP was create Read more…

LLNL Engineers Harness Machine Learning to Unlock New Possibilities in Lattice Structures

September 9, 2024

Lattice structures, characterized by their complex patterns and hierarchical designs, offer immense potential across various industries, including automotive, aerospace, and biomedical engineering. With their outstand Read more…

NSF-Funded Data Fabric Takes Flight

September 5, 2024

The data fabric has emerged as an enterprise data management pattern for companies that struggle to provide large teams of users with access to well-managed, integrated, and secured data. Now scientists working at univer Read more…

xAI Colossus: The Elon Project

September 5, 2024

Elon Musk's xAI cluster, named Colossus (possibly after the 1970 movie about a massive computer that does not end well), has been brought online. Musk recently posted the following on X/Twitter: "This weekend, the @xA Read more…

Shutterstock 793611091

Argonne’s HPC/AI User Forum Wrap Up

September 11, 2024

As fans of this publication will already know, AI is everywhere. We hear about it in the news, at work, and in our daily lives. It’s such a revolutionary tech Read more…

Quantum Software Specialist Q-CTRL Inks Deals with IBM, Rigetti, Oxford, and Diraq

September 10, 2024

Q-CTRL, the Australia-based start-up focusing on quantum infrastructure software, today announced that its performance-management software, Fire Opal, will be n Read more…

NSF-Funded Data Fabric Takes Flight

September 5, 2024

The data fabric has emerged as an enterprise data management pattern for companies that struggle to provide large teams of users with access to well-managed, in Read more…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor Read more…

Shutterstock 1897494979

What’s New with Chapel? Nine Questions for the Development Team

September 4, 2024

HPC news headlines often highlight the latest hardware speeds and feeds. While advances on the hardware front are important, improving the ability to write soft Read more…

Critics Slam Government on Compute Speeds in Regulations

September 3, 2024

Critics are accusing the U.S. and state governments of overreaching by including limits on compute speeds in regulations and laws, which they claim will limit i Read more…

Shutterstock 1622080153

AWS Perfects Cloud Service for Supercomputing Customers

August 29, 2024

Amazon's AWS believes it has finally created a cloud service that will break through with HPC and supercomputing customers. The cloud provider a Read more…

HPC Debrief: James Walker CEO of NANO Nuclear Energy on Powering Datacenters

August 27, 2024

Welcome to The HPC Debrief where we interview industry leaders that are shaping the future of HPC. As the growth of AI continues, finding power for data centers Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa 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…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Shutterstock 1024337068

Researchers Benchmark Nvidia’s GH200 Supercomputing Chips

September 4, 2024

Nvidia is putting its GH200 chips in European supercomputers, and researchers are getting their hands on those systems and releasing research papers with perfor Read more…

Leading Solution Providers

Contributors

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. Read more…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Department of Justice Begins Antitrust Probe into Nvidia

August 9, 2024

After months of skyrocketing stock prices and unhinged optimism, Nvidia has run into a few snags – a  design flaw in one of its new chips and an antitrust pr 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…

MLPerf Training 4.0 – Nvidia Still King; Power and LLM Fine Tuning Added

June 12, 2024

There are really two stories packaged in the most recent MLPerf  Training 4.0 results, released today. The first, of course, is the results. Nvidia (currently Read more…

xAI Colossus: The Elon Project

September 5, 2024

Elon Musk's xAI cluster, named Colossus (possibly after the 1970 movie about a massive computer that does not end well), has been brought online. Musk recently Read more…

Spelunking the HPC and AI GPU Software Stacks

June 21, 2024

As AI continues to reach into every domain of life, the question remains as to what kind of software these tools will run on. The choice in software stacks – Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire