Supermicro Reports Second Quarter 2017 Financial Results

January 27, 2017

SAN JOSE, Calif., Jan. 27 — Super Micro Computer, Inc. (NASDAQ: SMCI), a global leader in high-performance, high-efficiency server, storage technology and green computing, has announced second quarter fiscal 2017 financial results for the quarter ended December 31, 2016.

Fiscal 2nd Quarter Highlights

  • Quarterly net sales of $652.0 million, up 23.3% from the first quarter of fiscal year 2017 and up 2.0% from the same quarter of last year.
  • GAAP net income of $22.0 million, up 62.5% from the first quarter of fiscal year 2017 and down 36.6% from the same quarter of last year.
  • GAAP gross margin was 14.3%, down from 15.1% in the first quarter of fiscal year 2017 and down from 16.6% in the same quarter of last year.
  • Server solutions accounted for 68.1% of net sales compared with 67.6% in the first quarter of fiscal year 2017 and 71.0% in the same quarter of last year.

Net sales for the second quarter ended December 31, 2016 totaled $652.0 million, up 23.3% from $529.0 million in the first quarter of fiscal year 2017. No customer accounted for more than 10% of net sales during the quarter ended December 31, 2016.

GAAP net income for the second quarter of fiscal year 2017 was $22.0 million or $0.43 per diluted share, a decrease of 36.6% from net income of $34.7 million, or $0.67 per diluted share in the same period a year ago. Included in net income for the quarter is $4.7 million of stock-based compensation expense (pre-tax). Excluding this item and the related tax effect, non-GAAP net income for the second quarter was $25.0 million, or $0.48 per diluted share, compared to non-GAAP net income of $38.0 million, or $0.73 per diluted share, in the same quarter of the prior year. On a sequential basis, non-GAAP net income increased from the first quarter of fiscal year 2017 by $8.4 million or $0.16 per diluted share.

GAAP gross margin for the second quarter of fiscal year 2017 was 14.3% compared to 16.6% in the same period a year ago. Non-GAAP gross margin for the second quarter was 14.4% compared to 16.7% in the same period a year ago. GAAP gross margin for the first quarter of fiscal year 2017 was 15.1% and Non-GAAP gross margin for the first quarter of fiscal year 2017 was 15.2%.

The GAAP income tax provision for the second quarter of fiscal year 2017 was $9.3 million or 29.7% of income before tax provision compared to $14.1 million or 28.8% in the same period a year ago and $6.4 million or 32.0% in the first quarter of fiscal year 2017. The effective tax rate for the second quarter of fiscal year 2017 was lower than the first quarter primarily due to an increase in the domestic production activities deduction and U.S. federal research and development (“R&D”) tax credits.

The Company’s cash and cash equivalents and short and long term investments at December 31, 2016 were $131.5 million compared to $183.7 million at June 30, 2016. Free cash flow for the six months ended December 31, 2016 was $(72.2) million, primarily due to an increase in the Company’s cash used in operating activities and used in the development and construction of improvements on the Company’s properties.

Business Outlook & Management Commentary

The Company expects net sales of $570 million to $630 million for the third quarter of fiscal year 2017 ending March 31, 2017. The Company expects non-GAAP earnings per diluted share of approximately $0.34 to $0.42 for the third quarter.

“We are pleased to report record second quarter revenues of $652.0 million that exceeded our guidance and outpaced a strong compare with last year. Contributing to this strong growth was our Twin family product line including our FatTwin, Storage, HPC, MicroBlade, and strong growth from enterprise cloud and Asia Pacific, particularly China. Component shortages and pricing, product and geographic mix adversely impacted gross margins while improved leverage allowed us to deliver stronger operating margins from last quarter,” said Charles Liang, Chairman and Chief Executive Officer. “We expect to continue the growth of last quarter and be reflected in the year-over-year revenue growth in the March quarter based on an increasing number of sizable customer engagements demanding the performance and advantages of our leading product lines. In addition, we are well positioned to benefit from technology transitions in 2017 and have upgraded our product lines to optimize these new technologies.”

It is currently expected that the outlook will not be updated until the Company’s next quarterly earnings announcement, notwithstanding subsequent developments. However, the Company may update the outlook or any portion thereof at any time. Such updates will take place only by way of a news release or other broadly disseminated disclosure available to all interested parties in accordance with Regulation FD.

About Super Micro Computer, Inc.

Supermicro, a global leader in high-performance, high-efficiency server technology and innovation is a premier provider of end-to-end green computing solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data, HPC and Embedded Systems worldwide. Supermicro’s advanced Server Building Block Solutions offer a vast array of components for building energy-efficient, application-optimized, computing solutions. Architecture innovations include Twin, TwinPro, FatTwin, Ultra Series, MicroCloud, MicroBlade, SuperBlade, Simply Double, Double-sided Storage, Battery Backup Power (BBP) modules and WIO/UIO. Products include servers, blades, GPU systems, workstations, motherboards, chassis, power supplies, storage, networking, server management software and SuperRack cabinets/accessories delivering unrivaled performance and value.


Source: Supermicro

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!

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen 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…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. 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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer 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…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire