NVIDIA Reports Financial Results for Second Quarter Fiscal 2015

August 8, 2014

SANTA CLARA, Calif., Aug. 8 — NVIDIA has reported revenue for the second quarter ended July 27, 2014, of $1.10 billion, up 13 percent from $977 million a year earlier and in line with the previous quarter. Revenue for the first half was up 14 percent to a record $2.21 billion from $1.93 billion a year earlier.

GAAP earnings per diluted share for the quarter were $0.22, up 38 percent from $0.16 a year earlier and down 8 percent from the previous quarter. Non-GAAP earnings per diluted share were $0.30, up 30 percent from $0.23 a year earlier and up 3 percent from the previous quarter.

“We had a great quarter with strong gains in each of our three growth areas — Gaming, Datacenter & Cloud, and Mobile,” said Jen-Hsun Huang, president and chief executive officer of NVIDIA. “Our Tesla datacenter business is in high gear, benefiting from strong demand from cloud service providers, and our new SHIELD tablet is generating considerable excitement. ‎ NVIDIA’s accelerating growth stems directly from investments in extending our visual computing leadership to the mobile-cloud revolution.”

During the second quarter, NVIDIA paid $47 million in cash dividends and received 6.8 million shares under the $500 million structured repurchase agreement it entered into in the first quarter. During the first quarter, the company had paid $47 million in cash dividends and had received 20.6 million shares under the agreement. As a result, during the first half, NVIDIA has returned $594 million of the $1 billion it intends to return to shareholders in fiscal 2015.

NVIDIA will pay its next quarterly cash dividend of $0.085 per share on Sept. 12, 2014, to all stockholders of record on Aug. 21, 2014. NVIDIA expects that a portion of this dividend payment may be considered a return of capital for U.S. federal income tax purposes.

NVIDIA’s outlook for the third quarter of fiscal 2015 is as follows:

  • Revenue is expected to be $1.20 billion, plus or minus two percent.
  • GAAP and non-GAAP gross margins are expected to be 55.2 percent and 55.5 percent, respectively, plus or minus 50 basis points.
  • GAAP operating expenses are expected to be approximately $463 million; non-GAAP operating expenses are expected to be approximately $416 million.
  • GAAP and non-GAAP tax rates for the third quarter and annual fiscal 2015 are both expected to be 19 percent, plus or minus one percentage point. This estimate excludes any discrete tax events that may occur during a quarter which, if realized, may increase or decrease NVIDIA’s actual effective tax rates in such quarter.
  • Capital expenditures are expected to be approximately $40 million to $50 million.

Second Quarter Fiscal 2015 Highlights

During the second quarter, NVIDIA:

  • Extended its leading position in datacenter accelerated computing, with the world’s 15 most efficient supercomputers all running NVIDIA Tesla GPUs, according to the latest Green500 list.
  • Surpassed 40 million installations in under two years of its GeForce Experience client, which provides game-ready drivers and optimal playable settings, and allows gameplay to be streamed and shared.
  • Invented the first-ever GPU acceleration technology for Adobe Illustrator CC, with performance up to 10x faster than previously possible. Adobe Illustrator CC is used by more than six million artists and designers worldwide.
  • Featured prominently at the Google I/O conference, where Google’s new Android L was previewed. NVIDIA Tegra K1 is the first processor to support Android L’s advanced gaming capabilities; the first to bring GPU computing to mobile, evident in Google’s Project Tango tablet, which features computer vision capabilities; and among the first to support Android TV.
  • Expanded the SHIELD family of gaming devices with the launch of the world’s most advanced tablet built for gamers, the SHIELD tablet, along with the SHIELD wireless controller.
  • Accelerated the growth of its auto business, as BMW shipped new models, including the i8 and i3 with infotainment systems powered by Tegra. Volkswagen announced that, in addition to the Golf, Tegra will be included in the Passat launching later this year in Europe.
Subscribe to HPCwire's Weekly Update!

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

PRACEdays Reflects Europe’s HPC Commitment

May 25, 2017

More than 250 attendees and participants came together for PRACEdays17 in Barcelona last week, part of the European HPC Summit Week 2017, held May 15-19 at t Read more…

By Tiffany Trader

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurr Read more…

By Doug Black

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Nvidia CEO Predicts AI ‘Cambrian Explosion’

May 25, 2017

The processing power and cloud access to developer tools used to train machine-learning models are making artificial intelligence ubiquitous across computing pl Read more…

By George Leopold

HPE Extreme Performance Solutions

Exploring the Three Models of Remote Visualization

The explosion of data and advancement of digital technologies are dramatically changing the way many companies do business. With the help of high performance computing (HPC) solutions and data analytics platforms, manufacturers are developing products faster, healthcare providers are improving patient care, and energy companies are improving planning, exploration, and production. Read more…

PGAS Use will Rise on New H/W Trends, Says Reinders

May 25, 2017

If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn Read more…

By James Reinders

Exascale Escapes 2018 Budget Axe; Rest of Science Suffers

May 23, 2017

President Trump's proposed $4.1 trillion FY 2018 budget is good for U.S. exascale computing development, but grim for the rest of science and technology spend Read more…

By Tiffany Trader

Hedge Funds (with Supercomputing help) Rank First Among Investors

May 22, 2017

In case you didn’t know, The Quants Run Wall Street Now, or so says a headline in today’s Wall Street Journal. Quant-run hedge funds now control the largest Read more…

By John Russell

IBM, D-Wave Report Quantum Computing Advances

May 18, 2017

IBM said this week it has built and tested a pair of quantum computing processors, including a prototype of a commercial version. That progress follows an an Read more…

By George Leopold

PRACEdays Reflects Europe’s HPC Commitment

May 25, 2017

More than 250 attendees and participants came together for PRACEdays17 in Barcelona last week, part of the European HPC Summit Week 2017, held May 15-19 at t Read more…

By Tiffany Trader

PGAS Use will Rise on New H/W Trends, Says Reinders

May 25, 2017

If you have not already tried using PGAS, it is time to consider adding PGAS to the programming techniques you know. Partitioned Global Array Space, commonly kn Read more…

By James Reinders

Exascale Escapes 2018 Budget Axe; Rest of Science Suffers

May 23, 2017

President Trump's proposed $4.1 trillion FY 2018 budget is good for U.S. exascale computing development, but grim for the rest of science and technology spend Read more…

By Tiffany Trader

Cray Offers Supercomputing as a Service, Targets Biotechs First

May 16, 2017

Leading supercomputer vendor Cray and datacenter/cloud provider the Markley Group today announced plans to jointly deliver supercomputing as a service. The init Read more…

By John Russell

HPE’s Memory-centric The Machine Coming into View, Opens ARMs to 3rd-party Developers

May 16, 2017

Announced three years ago, HPE’s The Machine is said to be the largest R&D program in the venerable company’s history, one that could be progressing tow Read more…

By Doug Black

What’s Up with Hyperion as It Transitions From IDC?

May 15, 2017

If you’re wondering what’s happening with Hyperion Research – formerly the IDC HPC group – apparently you are not alone, says Steve Conway, now senior V Read more…

By John Russell

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

HPE Launches Servers, Services, and Collaboration at GTC

May 10, 2017

Hewlett Packard Enterprise (HPE) today launched a new liquid cooled GPU-driven Apollo platform based on SGI ICE architecture, a new collaboration with NVIDIA, a Read more…

By John Russell

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Last week, Google reported that its custom ASIC Tensor Processing Unit (TPU) was 15-30x faster for inferencing workloads than Nvidia's K80 GPU (see our coverage Read more…

By Tiffany Trader

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

Since our first formal product releases of OSPRay and OpenSWR libraries in 2016, CPU-based Software Defined Visualization (SDVis) has achieved wide-spread adopt Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

TSUBAME3.0 Points to Future HPE Pascal-NVLink-OPA Server

February 17, 2017

Since our initial coverage of the TSUBAME3.0 supercomputer yesterday, more details have come to light on this innovative project. Of particular interest is a ne Read more…

By Tiffany Trader

Leading Solution Providers

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is Read more…

By Tiffany Trader

Tokyo Tech’s TSUBAME3.0 Will Be First HPE-SGI Super

February 16, 2017

In a press event Friday afternoon local time in Japan, Tokyo Institute of Technology (Tokyo Tech) announced its plans for the TSUBAME3.0 supercomputer, which w Read more…

By Tiffany Trader

Is Liquid Cooling Ready to Go Mainstream?

February 13, 2017

Lost in the frenzy of SC16 was a substantial rise in the number of vendors showing server oriented liquid cooling technologies. Three decades ago liquid cooling Read more…

By Steve Campbell

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Eng Read more…

By Tiffany Trader

US Supercomputing Leaders Tackle the China Question

March 15, 2017

As China continues to prove its supercomputing mettle via the Top500 list and the forward march of its ambitious plans to stand up an exascale machine by 2020, Read more…

By Tiffany Trader

HPC Technique Propels Deep Learning at Scale

February 21, 2017

Researchers from Baidu's Silicon Valley AI Lab (SVAIL) have adapted a well-known HPC communication technique to boost the speed and scale of their neural networ Read more…

By Tiffany Trader

IBM Wants to be “Red Hat” of Deep Learning

January 26, 2017

IBM today announced the addition of TensorFlow and Chainer deep learning frameworks to its PowerAI suite of deep learning tools, which already includes popular Read more…

By John Russell

DOE Supercomputer Achieves Record 45-Qubit Quantum Simulation

April 13, 2017

In order to simulate larger and larger quantum systems and usher in an age of "quantum supremacy," researchers are stretching the limits of today's most advance Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This