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!

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