A Cynic’s View of Green Computing

By Michael Feldman

July 29, 2008

The IT industry’s focus on energy efficiency might seem like a “Mom and Apple Pie” type of pursuit, but there may a darker side to the trend. There’s an illuminating article by Steve Denegri featured on Robin Harris’ StorageMojo blog that talks about some of the more depressing ramifications of the green datacenter. Denegri, a storage analyst, posits that the increasing share of the IT energy budget being consumed by storage may portend a shake out for that industry.

He notes that storage vendors — like all hardware vendors — are pushing their latest offerings with a big emphasis on energy efficiency. From the marketing and sales point of view, this looks like a great opportunity to sell new products that aren’t so power-hungry. But that’s the glass half-full perspective. Here’s Denegri take:

[T]hese vendors would be better off recognizing that this heightened attention to energy efficiency is less indicative of a new growth opportunity and, more likely, portends an uncertain future for the industry, as a whole. Countless industries have reached an energy ceiling over the past half century, only to realize, soon after, that revenue potential had peaked.

What follows is a survival contest that only Darwin would love: more combinations at the top of the food chain and significant consolidation or closed doors among the multitude of suppliers. As revenue potential falls, those who are fortunate enough to survive must remain in cost-cutting mode in order to stay competitive.

Doesn’t exactly make you want to buy shares of EMC.

One of the problems with storage system is that, unlike compute and network boxes, they still depend on mechanical devices to operate, and this tends to suck up a lot of power. Until solid state disk technology (SSD) is ready for prime time, tape and disk machines will continue to take an every-increasing share of the datacenter energy budget. Even beyond that, the need for data storage is growing faster than the need for computation, so moving to SSD will only flatten the curve a bit.

Eventually server and networking may end up in the same boat anyway. Up until now, IT managers have been able to take advantage of Moore’s Law to increase performance per watt, and use virtualization to make better use of datacenter hardware resources. But once virtualization achieves 100 percent utilization, no more efficiency can be realized there. And since demand for computing and communication is outracing Moore’s Law, power consumption will become a limiting factor here too. In HPC, where use of server virtualization is almost nil, we already see system size being limited by power costs and infrastructure.

Denegri’s recommendation is that IT vendors should use their collective clout to lobby for increasing the capacity of the energy grid. That will pave the way for industry growth, which he says is predicated on delivering performance and capacity, not energy efficiency. “Green computing is almost the equivalent of battling a raging inferno through the design of smaller matches,” writes Denegri. “If only these consortiums realized that by hailing their energy-efficiency activities, they merely appear content with a reputation of environmental responsibility as they proclaim their industry’s doomed state.”

The other way I think this might play out is for datacenters to go set up shop at energy-rich locations. We can see the beginnings of this with the move by Google, Microsoft and other big players building ultra-scale datacenters along the Columbia River in order to take advantage of the cheap hydroelectric power and cooling along the waterway. Likewise, supercomputing at Oak Ridge National Laboratory benefits from the large energy resource of the Tennessee Valley Authority. One could imagine the next generation of supercomputing being hosted in Iceland, where geothermal energy resources are abundant and are far in excess of local demand.  (I’m also guessing it’s fairly simple to cool big petascale machines in Iceland.) Of course, not all computing and storage can be relegated to remote sites.

Down the road, datacenter operators may decide to develop and build power plants as part of their infrastructure, like aluminum producers did for their smelting operations. In this case, datacenters could even sell off excess energy capacity to help defray operating costs. Especially if power distribution isn’t a consideration, exotic technologies like solar-powered hydrogen generation and sea thermal gradient power could be considered.

One thing is certain: the dynamic between energy resources and IT is going to reshape the computing landscape. But IT doesn’t have to play the victim here. Innovation is what it does best, and I’m hoping this is one area where the market will work its magic.

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