HPC Apathy Belies Robust Market

By Michael Feldman

March 28, 2008

In a recent report by Forrester Research, analyst Frank Gillett makes the case that HPC and grid computing are not generating broad interest and adoption in the enterprise. He comes to the conclusion that vendors should emphasize customer business solutions rather than technology themes. GRIDtoday editor Derrick Harris has already weighed in on the grid computing side of the story (see Why ‘Grid’ Doesn’t Sell). I offer my perspective here for the HPC case.

Forrester initiated global surveys of enterprise IT decision makers in 2007 to gauge their interest in using HPC and grid computing. From the results, Gillett concluded that “HPC garners more adoption and interest than grid, but not in a majority of firms.” This in itself is no big surprise; the broader enterprise market still dwarfs the HPC subset. And the fact that HPC does better than grid computing is a function of the former being better defined and more broadly established than the latter.

What was a bit surprising to me was how big that “minority” of interested HPC users actually was. Although it varied by region (43 percent in North America, 39 percent in Europe, and 50 percent in Asia/Pacific), overall nearly half of the people surveyed had some level of interest in the technology. Either they were currently using HPC; were planning to use it in the next twelve months; or were interested, but not currently planning to use it.

Of all those interested though, only about half were actually using or planning to use the technology. Gillett seems to be looking at this from the glass half-empty perspective, but if you’re a marketing weenie, you’re probably more interested in learning the whereabouts of those “interested” non-users. Maybe this just reflects the personality difference between analysts and marketers.

The more sobering aspect of Forrester’s results showed that, based on data collected in 2005 and 2006, adoption and interest is growing slowly, while awareness is growing rapidly. That also reflects the reality of the commercial HPC market. While IDC has seen steady, or even robust, growth for the last few years, I suspect a lot of that is from repeat customers who are scaling up their computing resources. Since HPC went mainstream, the real logjam in the customer base has been what the Council on Competitiveness has dubbed the “missing middle.” These are the potential HPC customers between entry-level and high-end users, who would benefit from modest-sized high performance systems if they knew how to apply the technology to their business.

Gillett’s prescription is to stop selling technology and start selling business solutions. HPC has a lot of street cred these days, but ultimately customers are interested in solving their problems, not learning your technology. The more mature HPC system vendors have figured this out and have built up in-house expertise in various industry segments (e.g., financial services, oil and gas, manufacturing, etc.) so they can speak the same language as their customers.

This alludes to the final problems of selling HPC: the meaning of the term itself. Is it high performance computing, high productivity computing, high-end computing, supercomputing, scientific/technical computing, data-intensive computing, ultrascale computing etc? No one knows. And customers really don’t care about computing taxonomies anyway. The more nebulous the term is, the worse it is for the seller. This is why terms like “virtualization” and “SOA” are headed for the marketing graveyard.

There is one very large HPC customer segment where Gillett’s conclusions might not apply: government and academia. It’s not clear if Forrester only surveyed commercial IT enterprise people or included non-commercial ones as well. Government and academic IT decision makers are culturally different than their commercial counterparts. They tend to be more interested in the HPC technology for its own sake and have a more general appreciation of how to apply it.

For example, purchasing a computer for a government lab or university that ends up on the TOP500 list can raise the prospects for contracts, attract more top tier people, and generally elevate the standing of the organization. And since a lot of decision makers in this segment are very savvy about computing, they would tend to be more receptive to a technology story that they know how to connect to their application. Of course, for organizations like government labs and supercomputing centers, HPC use is already at 100 percent.

Despite the lack of broad interest in high performance computing that Gillett describes, the market does appear to be growing rapidly. In 2007, the HPC server market (as defined by IDC) continued to outpace the rest of the industry. In February, IDC estimated that HPC server sales grew 15.5 percent in last year, reaching a record $11.6 billion — this despite a slowdown in the US economy. Meanwhile server sales growth in the entire industry was a meager 3.4 percent.  IDC estimates that since 2002 the HPC market has more than doubled.

Combining the results from Forrester and IDC, a more two-dimensional view of the market emerges. While HPC use might only be broadening slowly, it appears to be deepening more rapidly. It’s difficult to say this definitively, since no one is tracking HPC expenditures at the granularity of the organization. But it does make a certain amount of sense. Unlike a lot of enterprise applications, which can run on virtualized platforms, HPC applications tend to be insatiable when it comes to hardware resources. Investing in things like more compute nodes, more storage, or faster interconnects often yields better results for the bottom line. Anyway you look at it, that’s a pretty vendor-friendly market.

—–

As always, comments about HPCwire are welcomed and encouraged. Write to me, Michael Feldman, at [email protected].

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!

Harvard/Google Use AI to Help Produce Astonishing 3D Map of Brain Tissue

May 10, 2024

Although LLMs are getting all the notice lately, AI techniques of many varieties are being infused throughout science. For example, Harvard researchers, Google, and colleagues published a 3D map in Science this week that Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of that at the upcoming ISC High Performance 2024, which is hap Read more…

Processor Security: Taking the Wong Path

May 9, 2024

More research at UC San Diego revealed yet another side-channel attack on x86_64 processors. The research identified a new vulnerability that allows precise control of conditional branch prediction in modern processors.� Read more…

The Ultimate 2024 Winter Class Round-Up

May 8, 2024

To make navigating easier, we have compiled a collection of all the 2024 Winter Classic News in this single page round-up. Meet The Teams   Introducing Team Lobo This is the other team from University of New Mex Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have become the backbone of devices with an on/off switch. Thes Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. According to the reports, photonics quantum computer developer PsiQu Read more…

ISC Preview: Focus Will Be on Top500 and HPC Diversity 

May 9, 2024

Last year's Supercomputing 2023 in November had record attendance, but the direction of high-performance computing was a hot topic on the floor. Expect more of Read more…

Illinois Considers $20 Billion Quantum Manhattan Project Says Report

May 7, 2024

There are multiple reports that Illinois governor Jay Robert Pritzker is considering a $20 billion Quantum Manhattan-like project for the Chicago area. Accordin Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

How Nvidia Could Use $700M Run.ai Acquisition for AI Consumption

May 6, 2024

Nvidia is touching $2 trillion in market cap purely on the brute force of its GPU sales, and there's room for the company to grow with software. The company hop Read more…

Hyperion To Provide a Peek at Storage, File System Usage with Global Site Survey

May 3, 2024

Curious how the market for distributed file systems, interconnects, and high-end storage is playing out in 2024? Then you might be interested in the market anal Read more…

Qubit Watch: Intel Process, IBM’s Heron, APS March Meeting, PsiQuantum Platform, QED-C on Logistics, FS Comparison

May 1, 2024

Intel has long argued that leveraging its semiconductor manufacturing prowess and use of quantum dot qubits will help Intel emerge as a leader in the race to de Read more…

Stanford HAI AI Index Report: Science and Medicine

April 29, 2024

While AI tools are incredibly useful in a variety of industries, they truly shine when applied to solving problems in scientific and medical discovery. Research Read more…

IBM Delivers Qiskit 1.0 and Best Practices for Transitioning to It

April 29, 2024

After spending much of its December Quantum Summit discussing forthcoming quantum software development kit Qiskit 1.0 — the first full version — IBM quietly 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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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 Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh 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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire