Emerging Companies Ride Wave of GPU Computing

By Nicole Hemsoth

December 15, 2011

During the NVIDIA’s GTC Asia event this week in Beijing, the company put a set of emerging companies under the spotlight to showcase their use of innovative high performance computing and GPU-driven technologies.

While there are any number of startups or small but deserving companies that crop up each year to aim for the HPC market, we wanted to point to NVIDIA’s selection of emerging companies this week as they reflect some of the broader trends in the GPU computing space—namely, advancement of GPU acceleration into a wider set of markets and aimed at emerging industries that straddle the borders of traditional HPC or offer new capabilities to existing HPC industries, especially the rendering and entertainment sectors.

What is most interesting about the selections for GTC Asia’s Emerging Companies Summit is not necessarily the company status as a startup with a unique take on GPU use. In fact, many of those picked are established, fully operational companies with years under their belts.

The theme this year seems to be that all selections are companies that have been holding onto important technologies for a few years, but are only now able to find a high-value market for those technologies. This is because of a rapid convergence in many areas NVIDIA touches; namely, mobile, cloud and to a lesser extent (sorry, folks) HPC.

At the top of the summit list this week, however, was a company that has relatively deep roots in HPC verticals, particularly in oil and gas. Acceleware was featured as an emerging company, even though they do not necessarily define “emerging” in the traditional startup sense. The Canadian company has an established history beginning in 2005 with their first foray into the electromagnetic simulation market, a focus that later extended to include providing hardware acceleration to the seismic migration market (fitting due to their location in the heart of Canadian oil and gas country). They now serve a number of areas in engineering, finance and other HPC verticals.

In addition to their roots in a few key HPC verticals from inception, the company went public back in 2006, followed by a $3 million boost from NVIDIA the next year.  While the small company may not be “emerging” in the bootstrapped sense one might expect, they are being led out of the shadows because the technologies they’ve been honing over the recent decade are in line to finally meet a market mature enough to adopt software-based acceleration in far larger numbers. In short, as GPU clusters find their way into more enterprise shops, the demand for their offerings could subsequently increase.

As an emerging company, some might suggest that they are poised to meet to the multicore era and age of massively parallel GPU architectures in a way few companies are, a key driver behind their position as a featured company this year. 

Acceleware is not a one-trick pony when it comes to HPC. In addition to offering CUDA and OpenCL training, GPU cluster solutions (with NVIDIA GPUs), and general consulting for the core industries they serve, their range of ISV partnerships allows them to offer accelerated solvers for oil and gas and beyond.

While Acceleware might represent the emerging company to suit oil and gas and engineering markets, many of NVIDIA’s other choices catered directly to the rendering and video-driven end of their GPU business. For instance, both ZANQI Technology Development Co. Ltd, which provides a 3D internet-based and GPU-boosted rendering software as a service offering and GPU code transplanting service as well as video delivery company QIYI tap into the emerging markets driven forth by the convergence of mobile and cloud and the need for sophisticated rendering capabilities delivered rapidly across a range of devices.

Design and engineering, a key bread and butter maker for NVIDIA, had its own star this week in the form of RTP startup GeoMagic. This emerging companies selection provides 3D software for reverse engineering digital models out of physical objects for the likes of Ford, Harley Davidson, Fisher Price and a number of other household name product manufacturers across the automotive, aerospace, medical device and entertainment markets. The company’s Geomagic Studio, Qualify and Wrap packages allow companies to reverse engineer everything from archeological artifacts to auto parts so realistic, accurate digital models can be quickly simulated, tested, inspected and shared.

Aside from the Chinese majority in attendance at the show, many of the local press from around Beijing seemed present to tune in for news about the consumer GPU market. Even Jen-Hsun Huang’s keynote indicated an emphasis not just on GPUs for HPC, but their application in entertainment, consoles, media and a range of devices. While GPUs for HPC tend to take center stage at GTC events, this year offered plenty for attendees with keen eyes on the next steps NVIDIA will take in the consumer market related to GPU computing.

A handful of emerging companies picks this year echoes other angles of the consumer side of the NVIDIA business. And interestingly enough, the GPU maker can’t seem to get enough of mentioning two companies in this domain. Both Ubitus and MirriAd were featured during the Emerging Companies Summit in 2009, but it might be that like Acceleware, their technologies were ripe—but the market was not quite ready to pick them up yet. As mobile and cloud have evolved together, the time might be right for technologies like London-based MirriAd’s seamless advertising directly into video content, for instance, to find their way to the masses.

Startup Ubitus, Inc., which is based in Taipei, reflected the mobile-cloud convergence back in 2009 but the time might not have been right for users to take advantage of their fixed-mobile convergence applications until more recently with the explosion of mobile devices and smartphones that required more computing smarts. In essence, the company enables rich media across almost all types of devices with emphasis on high definition video delivery across several platforms.

If the criteria for being selected as an emerging company is morphing into a list of “companies with great technologies no one could use en masse until Trend X emerged” then NVIDIA has been scoring well. A number of its picks from as far back as 2009 were directly foretelling new directions in high performance computing applications, the rise of cloud computing, and for that matter, the mobile cloud with its need for rapid video and content delivery.

It will be interesting to see what the next summit brings; a handful of fresh-faced startups that will foretell of trends no one sees yet—or a list of the same set we saw this year with minor variations. We’ll find out in May during the next GTC event, this time in San Jose, California.

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!

Mystery Solved: Intel’s Former HPC Chief Now Running Software Engineering Group 

April 15, 2024

Last year, Jeff McVeigh, Intel's readily available leader of the high-performance computing group, suddenly went silent, with no interviews granted or appearances at press conferences.  It led to questions -- what's 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 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…

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