Hyperion: Deep Learning, AI Helping Drive Healthy HPC Industry Growth

By Doug Black

June 20, 2017

To be at the ISC conference in Frankfurt this week is to experience deep immersion in deep learning. Users want to learn about it, vendors want to talk about it, analysts and journalists want to report on it. Deep learning underlays Hyperion Research’s optimistic HPC market forecast, with the former IDC HPC analyst team noting that deep learning (and high performance data analytics) is driving HPC into organizations that aren’t even aware they’re “doing HPC.”

Adoption of deep learning is one of several “Dark Energy” forces expanding the HPC universe in ways that are difficult to observe directly, said Hyperion’s Bob Sorensen. Other compute- and data-intensive forces pushing industry growth are security anomaly detection, financial services applications and the offloading of HPC workloads to the public cloud.

While non-traditional HPC procurements are difficult for analyst groups like Hyperion to track, what can be observed is that traditional enterprise servers don’t have the computational capabilities for advanced AI workloads, such as training neural networks for deep learning tasks, Sorensen said. Right now, deep learning is mostly happening at the big internet and social media FANG (Facebook, Amazon, Netflix and Google [now Alphabet], and Microsoft) companies, along with autonomous vehicle companies. Its broader adoption in the enterprise over the next several years is a major reason Hyperion is bullish on the HPC industry between now and 2021.

The analyst group announced today the overall HPC server market worldwide in 2016 generated record revenues of $11.2 billion, growth of 4.5 percent over 2015. Hyperion divides the HPC server market into four price-based sectors (see slide), with the supercomputer category (cost: more than $500,000) taking the lion’s share with $4.1 billion.

Growth of this kind is expected to continue, with Hyperion projecting the total HPC server industry to reach $14.8 billion by 2021, led by growth in the supercomputer category followed, in order, by divisional, departmental and workgroup systems.

Taking the HPC ecosystem as a whole – including servers, storage, middleware applications and services – the industry had revenues of more than $22 billion in 2016. With an expected CAGR of 6.2 percent, Hyperion expects the total worth of the sector to reach $30 billion by 2021. Storage is expected to be the fastest growing sector, with an annual growth rate of 7.8 percent.

Earl Joseph of Hyperion

Hyperion reported that HPE has established itself as the no. 1 HPC server vendor, with sales of $3.8 billion (of the $11.2 billion total) last year, followed by Dell EMC at $2.0 billion, Lenovo at $909 million and IBM at $492 million. As for HPC market sectors, the government/national labs led with purchases totaling $2.1 billion, followed by university/academia at $1.9 billion. Among industrial sectors, computer-aided engineering led with $1.2 billion, then bio-sciences at $1B, followed by geosciences at $844 million.

At the pinnacle of the supercomputer sector is the drive to exascale computing. Hyperion examined the four leading countries/regions (the U.S., China, the EU and Japan) and said China may win the race, predicting a Chinese system delivering exascale at peak by 2020 (possibly by 2019) and sustained exascale performance by 2023. It expects the U.S. to deliver peak exascale by 2020 and sustained by 2023. The EU and Japan are projected to reach sustained exascale performance by 2023 or 2024. Joseph noted that China’s exascale system may be powered by Chinese processors, rather than American.

While innovations developed for exascale systems will work their way into the broader government/academic/industrial sectors, near term HPC industry growth will be driven by demand in industrial and commercial sectors adopting more power HPDA (high performance data analytics) and deep learning capabilities.

Hyperion’s Steve Conway said 200 companies in recent years “have moved up to HPC because of competitive forces and requirements – complexity and time criticality – have pushed them up into the HPC competency space. These are companies that for the most part have hit a wall with enterprise services technology. They don’t have HPC data centers and they’re not going to build them, they’re inserting HPC at the right point into the live workflow in the enterprise.”

Sorensen said a typical scenario is a traditional company using conventional servers, “and you have a business intelligence capability that’s just inundated with data – more types of data, more data coming in faster, and people wanting results in real time or nearly so. So you’re being dragged kicking and screaming into the HPC environment. You’re coming at it (HPC) from an entirely different orthogonal direction. You’re doing HPC, you just don’t know it yet.”

Hyperion also expects HPC capabilities on public cloud computing platforms to generate increasing demand, though for now it’s showing more potential than actual results. Conway said Hyperion found that 64 percent of HPC sites run “some” jobs in public clouds, up from 13 percent in 2011. But those sites only run 7 to 8 percent of their total workloads in the cloud, roughly the same as six years ago.

“It’s a phenomenon of the public cloud in HPC is getting very wide but not very deep yet,” he said. But it’s a market with strong potential, Conway said. Hyperion asked HPC data center managers how difficult it is to decide which jobs to keep on premises and which to send off-prem. In a high percentage of cases, Conway said, the response was that it’s not difficult at all.

“If the clouds are architected to be more friendly to HPC jobs, people are going to send them more jobs,” Conway said. “There’s not a big educational effort (by the public cloud providers) that’s needed here, it has to do with the appropriateness of the jobs.”

 

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!

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, and this day of contemplation is meant to provide all of us Read more…

Intel Announces Hala Point – World’s Largest Neuromorphic System for Sustainable AI

April 22, 2024

As we find ourselves on the brink of a technological revolution, the need for efficient and sustainable computing solutions has never been more critical.  A computer system that can mimic the way humans process and s Read more…

Empowering High-Performance Computing for Artificial Intelligence

April 19, 2024

Artificial intelligence (AI) presents some of the most challenging demands in information technology, especially concerning computing power and data movement. As a result of these challenges, high-performance computing Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that have occurred about once a decade. With this in mind, the ISC Read more…

2024 Winter Classic: Texas Two Step

April 18, 2024

Texas Tech University. Their middle name is ‘tech’, so it’s no surprise that they’ve been fielding not one, but two teams in the last three Winter Classic cluster competitions. Their teams, dubbed Matador and Red Read more…

2024 Winter Classic: The Return of Team Fayetteville

April 18, 2024

Hailing from Fayetteville, NC, Fayetteville State University stayed under the radar in their first Winter Classic competition in 2022. Solid students for sure, but not a lot of HPC experience. All good. They didn’t Read more…

AI Saves the Planet this Earth Day

April 22, 2024

Earth Day was originally conceived as a day of reflection. Our planet’s life-sustaining properties are unlike any other celestial body that we’ve observed, Read more…

Kathy Yelick on Post-Exascale Challenges

April 18, 2024

With the exascale era underway, the HPC community is already turning its attention to zettascale computing, the next of the 1,000-fold performance leaps that ha Read more…

Software Specialist Horizon Quantum to Build First-of-a-Kind Hardware Testbed

April 18, 2024

Horizon Quantum Computing, a Singapore-based quantum software start-up, announced today it would build its own testbed of quantum computers, starting with use o Read more…

MLCommons Launches New AI Safety Benchmark Initiative

April 16, 2024

MLCommons, organizer of the popular MLPerf benchmarking exercises (training and inference), is starting a new effort to benchmark AI Safety, one of the most pre 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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... 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