presentation on green computing

Learn how green computing reduces energy consumption and lowers carbon emissions from the design, use and disposal of technology products.

Green computing (also known as green IT or sustainable IT) is the design, manufacture, use and disposal of computers, chips, other technology components and peripherals in a way that limits the harmful impact on the environment, including reducing carbon emissions and the energy consumed by manufacturers, data centers and end-users. Green computing also encompasses choosing sustainably sourced raw materials, reducing electronic waste and promoting sustainability through the use of renewable resources.

The potential for green computing to have a positive impact on the environment is considerable. The information and communication technology (ICT) sector is responsible for between 1.8% and 3.9% of global greenhouse gas emissions. Moreover, data centers account for 3% of annual total energy consumption — an increase of 100% in the last decade.

“The energy demands and carbon output of computing and the entire ICT sector must be dramatically moderated if climate change is to be slowed in time to avoid catastrophic environmental damage,” according to a report published by the Association for Computing Machinery .

Every aspect of modern information technology — from the smallest chip to the largest data center — carries a carbon price tag, and green computing seeks to reduce that carbon price tag. Technology makers play a role in green computing, as do the corporations, organizations, governments and individuals that use technology. From massive data centers instituting policies to reduce energy consumption to individuals choosing to not use screen savers, green IT is multi-faceted and involves myriad decisions at every level.

What manufacturers can do

The decisions regarding going green begin long before products reach consumers. For example, product design and manufacturing are prime areas to lessen the impact of technology on the environment.

Chips that are more energy efficient — such as the chip designed by IBM and Samsung that can be stacked vertically or the IBM 2nm chip — are examples of innovative design that improves sustainability in computing. The energy consumption of a single computer chip may seem negligible, but when you multiply that by millions, it is possible to make significant reductions.

IBM has also identified systems that can reduce energy usage. Heterogenous structures, for instance, bring together frameworks like CPUs and graphics processing units (GPUs) to optimize power and energy efficiency.

One example is a computer named AiMOS (which stands for Artificial Intelligence Multiprocessing Optimized System), developed as part of a collaboration between IBM, Empire State Development and NY CREATEs. AiMOS is one of the most energy-efficient computers in existence, and it is used to develop more advanced and efficient computing chips, along with many other initiatives.

When designers take steps to reduce the amount of energy each product uses in operation and reduce the amount of heat those products produce, the carbon price tag of computing gets lower. For instance, sleep mode is one of the earliest examples of designers applying the concept of green computing to conserve energy.

Material selection is crucial, as well. Design that avoids using hazardous materials keeps those materials out of landfills later. Generating less waste in manufacturing devices and components, too, lessens the burden created by technology on the environment. Green manufacturing is a separate, but related, category of green technology that governs how the factory itself operates.

Other green computing actions manufacturers can take include lengthening the lifespan of computing devices and components so they don’t need to be replaced as frequently, increasing users’ ability to reuse products and making devices recyclable when they do need to be replaced.

What organizations can do

The largest gains in making IT more sustainable may be made by corporations, governments and other large organizations. Data centers, server rooms and data storage areas have a significant opportunity to run more efficiently.

In such areas, setting up hot and cold aisles is an important step toward greener computing because it reduces energy consumption and optimizes heating, ventilation and cooling. When automated systems designed to control temperature and similar conditions are combined with hot and cold aisles, emissions are further lowered. Cost savings from reducing energy use may eventually be realized, as well.

One simple step toward efficiency is to make sure things are turned off. Central processing units (CPUs) and peripheral equipment such as printers should be powered down when not in use. Scheduling blocks of time for specific tasks like printing means peripherals are only in use when they are needed.

Purchasing departments have a role to play in green computing, too. Choosing equipment that will last and consumes the least amount of energy necessary for the task to be performed are both ways to reduce the carbon footprint of IT. Notebooks use less energy than laptops, and laptops use less energy than desktop computers, for example.

What you can do

Green computing isn’t only for large organizations; you can play an important part in improving sustainability in the world of IT, as well. When many individuals make the choice to use functions like hibernate or sleep mode, the impact can be huge.

Whatever the device, employing the power management features reduces energy consumption, as does adjusting the screen brightness. Other ways to use less energy include turning off computers at the end of the day and keeping peripherals like speakers or printers turned off unless they are being used.

Refilling printer cartridges rather than purchasing new ones produces less waste and buying refurbished equipment rather than buying new reduces environmental impact. Safe disposal of electronic equipment improves sustainability and has security advantages .

Just as purchasing departments should choose the most efficient equipment for the tasks to be performed, so should you. If a notebook or laptop can perform necessary tasks as well as a desktop computer, opt for the more efficient device. Energy Star ratings are a good guide for individuals purchasing new equipment.

The evolution of green computing

In 1992, the Environmental Protection Agency (EPA) began the Energy Star Program in the United States, which aimed to promote and recognize energy efficiency. That program was the impetus for the adoption of the sleep mode function across the IT industry, and it brought about numerous other initiatives to increase efforts toward green computing. Energy Star-certified products must meet certain operation standards and have power management features that non-certified products may lack.

The program was furthered by a grant from the EPA to the Global Electronics Council, which resulted in the Electronic Product Environmental Assessment Tool (EPEAT). EPEAT is a product registry for products that are held to specific performance criteria, including materials used, greenhouse gas emissions from transportation, product longevity, energy use and end-of-lifecycle management.

Before green computing, the IT industry tended to focus on producing smaller and faster devices, rather than on improving sustainability or reducing emissions. On-premises physical servers and hardware are associated with traditional computing, whereas cloud computing represents a move toward a more eco-friendly approach, with a stronger focus on efficiency.

Multiple initiatives to improve green computing standards through the creation of industry metrics related to sustainability exist, as do various certifications. The Green500 is a sub-list of the Top500, which lists supercomputers and the applications for which those computing systems are used. The Green500 ranks the supercomputers by energy efficiency. The Transaction Processing Performance Council (TCP) is a nonprofit organization that develops benchmarks for performance in the transaction processing industry. SPECPower also creates benchmarks, but for the power and performance characteristics of single- and multi-node servers with the goal of improving efficiency.

Challenges to implementing green computing

Perhaps one of the greatest barriers to advancing green computing is a lack of concern. Few people think of the IT industry when they think about climate change. Along with a general lack of concern, the IT market has developed in a way that prioritizes the development of smaller and faster components and devices rather than environmentally friendly ones.

The fact that technology evolves and changes very rapidly presents challenges in extending the lifecycle of products and requires technology makers to ensure each iteration continues to meet eco-friendly standards. Switching from a conventional set up in a factory, data center or corporate office to a green configuration requires an often-substantial up-front capital investment that represents an additional potential barrier.

Fragmented data and varying needs make decision-making difficult across the spectrum of IT end users. For example, speed and performance have a different value in a large data center than they do for a user at home.

At any given point in the lifecycle of a computing device, users must weigh various concerns. For a large organization, security may be a greater concern than environmental impact when it comes to servers. And for a college student, a smaller device that is easier to carry may be more important than having one that is fully recyclable.

Green computing and IBM

Green computing has the power to lessen the impact of computing on the environment. However, the ICT industry has an opportunity to do much more by using technology to benefit the environment through programs and systems designed to reduce power consumption, improve water management and embrace virtualization as a way to conserve energy.

Wherever you are on the path to green IT and sustainability within your organization, one practical first step that can   make a noticeable   and immediate impact on energy consumption is to ensure your applications only consume the resources they need, and nothing more. This materially reduces waste (cost and carbon footprint) in data centers and the public cloud. To help realize that goal, a solution like IBM Turbonomic Application Resource Management can help you continuously analyze applications’ resource utilization to ensure applications get what they need to perform, while adhering to business policies. With a complete understanding of the application and infrastructure stack, you can automate actions and prevent resource congestion across a hybrid cloud environment, while initiating broader investments in sustainability.

Start your journey to assuring app performance at the lowest possible cost. Request your IBM Turbonomic demo today.

IBM is committed to green IT across the ecosystem of the business , including green design, operations and the use of its technology. The company has received numerous awards for sustainable products , energy use and environmental excellence . IBM’s first corporate policy regarding environmental affairs was issued in 1971, and protecting the environment remains a key issue in worldwide operations.

Get started on your way to sustainable IT now.

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What Is Green Computing?

Green computing, also known as greentech or green IT, is the environmentally conscious design, manufacturing, use and disposal of computers and related technologies in a manner that minimizes environmental impact. 

Thanks to the passage of the Inflation Reduction Act and the CHIPS and Science Act in 2022, green computing stands to become one of the more pressing topics for tech companies as the United States looks to potentially invest several billion dollars into zero-carbon technologies and reduce greenhouse gas emissions.

What is Green Computing?

“It’s not one technology. There’s no silver bullet,” said Soudip Roy Chowdhury, founder and CEO of Eugenie.ai, an AI-powered platform supporting industrial companies in achieving sustainable operations. “Multiple initiatives together will help the world to achieve net zero, and some of these will be futuristic, and some of these have to be very immediate, so today the industry can start using it.”

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Green computing involves using computing resources in an environmentally friendly way, reducing the consumption of resources and energy powered by fossil fuels.

“It’s not just what we plug into the walls. It’s not just what temperature we keep the data center or how we cool the racks or if there’s enough diesel to backup the generators if the power goes out,” said George Burns, senior consultant of cloud operations at SPR , a technology modernization firm. “It’s so many other things, all the way down to the code that we feed in.”

Green computing requires the reduction of power consumption for compute, network and storage, said Sreejit Roy, green IT offering leader and senior partner at IBM . 

“If we are able to reduce the power consumption of these three components that comprise the whole — from the data center to the software we write — is what we call green computing,” Roy said. 

Chowdhury describes green computing as “sustainable-driven transformation.” Such transformation requires tech companies to optimize their processes to be more efficient, find ways to reduce their waste and consumption and recycle their technology products.

“The moment I consume less power, I’m consuming less energy. If I’m consuming less energy, I’m reducing the carbon footprint. It’s as simple as that,” Roy said.

Green computing involves tech companies making front end changes like committing to reducing their climate impacts and minimizing their carbon footprint, as well as back end work such as optimizing data centers.

“Green computing is not one thing. Green computing is a set of practices that impacts how we consume computing resources,” Burns said.

Green Computing Examples 

Updating tech and architecture.

Much of green computing looks like updating technologies to be more efficient and consume less energy.

“I can change from the old servers to the new servers, or I can change the architecture of the servers, or I can change what goes into the server from what we’re calling as monolithic to serverless, which are different kinds of architectures, which will significantly reduce the carbon footprint,” Roy said. “If nothing else, companies can simply take their workloads and move it to cloud.”

Using Cloud Storage

Roy estimates that transitioning operations to the cloud can help some tech companies improve their carbon footprint by as much as 60 to 80 percent. Yet, definitively measuring the environmental impact of cloud servers, especially private ones, is challenging. 

“Especially as the cloud grows, we increase adoption across so many different metrics. Understanding what that true cost is is complicated,” Burns said. 

Storing Data Locally

For companies with employees across the globe, using networks that store data locally can save energy. For example, Roy, who is based in Bangalore, India, expects that when accessing data in the United States, it takes two or three hops across network devices to get the data. 

“The moment I start designing my architecture, designing my IT systems in a way that I do not go to those multiple hops, I’m consuming less network, and hence again, consuming less power, and hence again, consuming less energy, and hence less CO2,” Roy said. 

Creating Digital Twins to Identify Inefficiencies

Eugenie works with its clients to create a digital twin , which is a real-time virtual representation of a system used for simulation and decision making. The digital twin can help companies identify areas where they can reduce waste and improve production.

“We simulated a scenario like what if you change this parameter by X with different numbers,” Chowdhury said. “Think of it like you are seeing the future. Whatever you change any of these parameters … that helps them to really understand at real time what the right setup for set points [should be].”

Using Virtual Machines

The creation of multiple virtual machines on a single computer can reduce energy consumption — the more densely an infrastructure is virtualized, the less carbon emissions released. The IBM research team offers a proprietary tool that can provide such insight to companies. 

“The moment I’m able to get at the virtual machine level, then I know by mapping it, which application is consuming more energy, and I can then focus on those applications, or I can focus on those unused VMs to reduce my power consumption,” Roy said. “That is an actionable insight. And unfortunately, not too many of the companies are able to provide that actionable insight. 

Analyzing Application Performance

Burns encourages companies to analyze their applications’ performance and not stick with a software just because the company has invested in or even built it. Maintaining outdated or inefficient applications is wasteful and a prime example of sunk cost fallacy .

“Once you start breaking the code down, you break down the compute. You break down the storage. That’s a big part of it. Application modernization will have a huge effect on resource consumption for computing,” Burns said. “It’s time to decouple them. If you are looking for what is the low hanging fruit that I can grab onto easiest to make a green investment and green return for my organization? It starts with application modernization.”

Applying Edge Computing

Edge computing , an IT architecture that brings computing and data storage closer to the data source, is a potential green computing practice, which can contribute to a reduction in energy consumption.

“Locality of what we do becomes a big part of how we consume computing resources,” Burns said. “We consume the network differently. Those consumers are where a lot of our resource consumption occurs still, so we move things to the edge so that they consume less power.”

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Why Is Green Computing Important? 

Tech companies should anticipate increased compliance and reporting requirements around their emissions and energy consumption in the future, with the expectation to reduce pollution and reliance on fossil fuels, as countries focus on reducing their impact on global warming.

A large portion of green computing efforts are focused on reducing the energy consumption and emissions of data centers, which are estimated to use about one percent of the world’s electricity demand, according to the International Energy Agency . Lots of energy and water is needed to run and cool data centers, so making data centers more efficient has the potential to have a large impact on the environment.

Not recycling electronics can contaminate plants, trees and food supplies when toxic components in e-waste like mercury, lead, cadmium and lithium enter into soil or water streams. “If you don’t recycle, these become landfill, which makes the whole land not as good as it’s supposed to be,” Chowdhury said. 

From a profitability standpoint, clients and consumers are likely to increasingly favor companies that prioritize green computing practices.

“You won’t be able to pitch or do a deployment or modernization unless you’ve taken care of sustainability,” Roy said. 

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Benefits of Green Computing

Reduces technology’s ecological footprint.

Green computing stands to reduce technology’s impact on climate change and can aid in net-zero efforts. Using energy-efficient technologies, reducing manufacturing emissions and eliminating hazardous materials in hardware parts are a few green computing initiatives that can help sustain the environment. 

Boosts Companies’ Reputations 

Companies that embrace green IT stand to have better reputational success. Advocating for environmental sustainability can help brand a company as socially responsible and empathetic toward global issues. In turn, this can also lead to increased interest from job candidates and retention of existing employees.

Prepares Companies for Future Environmental Regulations

Companies that already implement green computing technologies in their work may have an easier time complying with regulations around technology emissions in the future. Plus, it could save companies money on having to set up new technologies and processes if additional regulations arise.

Challenges of Green Computing

Environmental impact is hard to measure.

Much of the challenge around green computing is in measuring and reporting a company’s environmental impact, Chowdhury said. The industry needs a “consolidated data approach,” where not just one, but all companies within a sector, know where the industry benchmark is, said Chowdhury. It’s important so that companies can measure and work toward a goal in a sustainable way, he said.

Public cloud services offer clearer measurements of how much power is being consumed, but Roy estimates that very few companies operate entirely on a public cloud. 

“The challenge is identifying, first of all, how much data, how much carbon is being pulled, what the carbon footprint of that nonpublic cloud portion is,” Roy said. “The measurement of that is not matured enough at all.”

Companies Are Resistant to Change

Ultimately, green computing requires a cultural shift to become a part of tech companies’ business practices.

“That cultural change is what we think is extremely important going forward for all those organizations,” Roy said. “They have to put sustainability as what we’re calling NFR, or a nonfunctional requirement, into everything they do, from architecture, to design, to develop, to test and deploy. If they do not do that, going forward, they are going to be in big trouble going forward.” 

History of Green Computing

Green computing entered the mainstream in 1992 when the U.S. Environmental Protection Agency (EPA) launched the Energy Star program. Directed in partnership with the U.S. Department of Energy (DOE), the Energy Star program uses set standards to determine if consumer electronics and commercial equipment are energy efficient , and recognize such products by labeling them as Energy Star-certified. Following the enactment of the Energy Policy Act in 2005 by the U.S. Congress, the EPA and DOE were directed to promote Energy Star and implement a program that identified energy-efficient products and buildings.

In 2006, the Global Electronics Council debuted the Electronic Product Environmental Assessment Tool (EPEAT), which became an influential tool in green computing regulation. EPEAT acts as an online registry for identifying electronic products that meet specific environmental assessment criteria, including those addressing materials used, product longevity design and supply chain greenhouse gas emissions. Under the Federal Acquisition Regulation (FAR), U.S. federal agencies are required to ensure that 95 percent of new supply of products and services are Energy Star or Federal Energy Management Program (FEMP)-designated, as well as EPEAT-registered, non-toxic or a less toxic alternative.

Frequently Asked Questions

What is green computing.

Green computing, also known as green IT or greentech, is the practice of using computers and technologies in an environmentally conscious and energy-efficient manner.

The practice of green computing aims to reduce carbon emissions, save energy and minimize the use of hazardous material in manufacturing to protect the planet.

What are some examples of green computing?

Some examples of green computing include:

• Updating technologies and architecture to consume less energy 
• Using cloud or local data storage 
• Utilizing virtualization and virtual machine technology
• Analyzing and identifying gaps in application performance

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What Is Green Computing?

Everyone wants green computing.

Mobile users demand maximum performance and battery life. Businesses and governments increasingly require systems that are powerful yet environmentally friendly. And cloud services must respond to global demands without making the grid stutter.

For these reasons and more, green computing has evolved rapidly over the past three decades, and it’s here to stay.

Green computing, or sustainable computing , is the practice of maximizing energy efficiency  and minimizing environmental impact in the ways computer chips, systems and software are designed and used.

Also called green information technology, green IT or sustainable IT, green computing spans concerns across the supply chain, from the raw materials used to make computers to how systems get recycled.

In their working lives, green computers must deliver the most work for the least energy, typically measured by performance per watt.

Why Is Green Computing Important?

Green computing is a significant tool to combat climate change, the existential threat of our time.

Global temperatures have risen about 1.2°C over the last century. As a result, ice caps are melting, causing sea levels to rise about 20 centimeters and increasing the number and severity of extreme weather events.

The rising use of electricity is one of the causes of global warming. Data centers represent a small fraction of total electricity use, about 1% or 200 terawatt-hours per year, but they’re a growing factor that demands attention.

Powerful, energy-efficient computers are part of the solution. They’re advancing science and our quality of life, including the ways we understand and respond to climate change.

What Are the Elements of Green Computing?

Engineers know green computing is a holistic discipline.

“Energy efficiency is a full-stack issue, from the software down to the chips,” said Sachin Idgunji, co-chair of the power working group for the industry’s MLPerf AI benchmark and a distinguished engineer working on performance analysis at NVIDIA.

For example, in one analysis he found NVIDIA DGX A100 systems delivered a nearly 5x improvement in energy efficiency in scale-out AI training benchmarks compared to the prior generation.

“My primary role is analyzing and improving energy efficiency of AI applications at everything from the GPU and the system node to the full data center scale,” he said.

Idgunji’s work is a job description for a growing cadre of engineers building products from smartphones to supercomputers.

What’s the History of Green Computing?

Green computing hit the public spotlight in 1992, when the U.S. Environmental Protection Agency launched Energy Star , a program for identifying consumer electronics that met standards in energy efficiency.

A 2017 report found nearly 100 government and industry programs across 22 countries promoting what it called green ICTs, sustainable information and communication technologies.

One such organization, the Green Electronics Council , provides the Electronic Product Environmental Assessment Tool , a registry of systems and their energy-efficiency levels. The council claims it’s saved nearly 400 million megawatt-hours of electricity through use of 1.5 billion green products it’s recommended to date.

Work on green computing continues across the industry at every level.

For example, some large data centers use liquid-cooling while others locate data centers where they can use cool ambient air. Schneider Electric recently released a whitepaper recommending 23 metrics for determining the sustainability level of data centers.

A Pioneer in Energy Efficiency

Wu Feng, a computer science professor at Virginia Tech, built a career pushing the limits of green computing. It started out of necessity while he was working at the Los Alamos National Laboratory.

A computer cluster for open science research he maintained in an external warehouse had twice as many failures in summers versus winters. So, he built a lower-power system that wouldn’t generate as much heat.

He demoed the system, dubbed Green Destiny, at the Supercomputing conference in 2001. Covered by the BBC , CNN and the New York Times , among others, it sparked years of talks and debates in the HPC community about the potential reliability as well as efficiency of green computing.

Interest rose as supercomputers and data centers grew, pushing their boundaries in power consumption . In November 2007, after working with some 30 HPC luminaries and gathering community feedback, Feng launched the first Green500 List , the industry’s benchmark for energy-efficient supercomputing.

A Green Computing Benchmark

The Green500 became a rallying point for a community that needed to reign in power consumption while taking performance to new heights.

“Energy efficiency increased exponentially, flops per watt doubled about every year and a half for the greenest supercomputer at the top of the list,” said Feng.

By some measures, the results showed the energy efficiency of the world’s greenest systems increased two orders of magnitude in the last 14 years.

Feng attributes the gains mainly to the use of accelerators such as GPUs, now common among the world’s fastest systems.

“Accelerators added the capability to execute code in a massively parallel way without a lot of overhead — they let us run blazingly fast,” he said.

He cited two generations of the Tsubame supercomputers in Japan as early examples. They used NVIDIA Kepler and Pascal architecture GPUs to lead the Green500 list in 2014 and 2017, part of a procession of GPU-accelerated systems on the list.

“Accelerators have had a huge impact throughout the list,” said Feng, who will receive an award for his green supercomputing work at the Supercomputing event in November.

“Notably, NVIDIA was fantastic in its engagement and support of the Green500 by ensuring its energy-efficiency numbers were reported, thus helping energy efficiency become a first-class citizen in how supercomputers are designed today,” he added.

AI and Networking Get More Efficient

Today, GPUs and data processing units ( DPUs ) are bringing greater energy efficiency to AI and networking tasks, as well as HPC jobs like simulations run on supercomputers and enterprise data centers.

AI, the most powerful technology of our time, will become a part of every business. McKinsey & Co. estimates AI will add a staggering $13 trillion to global GDP by 2030 as deployments grow.

NVIDIA estimates data centers could save a whopping 19 terawatt-hours of electricity a year if all AI, HPC and networking offloads were run on GPU and DPU accelerators (see the charts below). That’s the equivalent of the energy consumption of 2.9 million passenger cars driven for a year.

It’s an eye-popping measure of the potential for energy efficiency with accelerated computing .

AI Benchmark Measures Efficiency

Because AI represents a growing part of enterprise workloads, the MLPerf industry benchmarks for AI have been measuring performance per watt on submissions for data center and edge inference since February 2021.

“The next frontier for us is to measure energy efficiency for AI on larger distributed systems, for HPC workloads and for AI training — it’s similar to the Green500 work,” said Idgunji, whose power group at MLPerf includes members from six other chip and systems companies.

The public results motivate participants to make significant improvements with each product generation. They also help engineers and developers understand ways to balance performance and efficiency across the major AI workloads that MLPerf tests.

“Software optimizations are a big part of work because they can lead to large impacts in energy efficiency, and if your system is energy efficient, it’s more reliable, too,” Idgunji said.

Green Computing for Consumers

In PCs and laptops, “we’ve been investing in efficiency for a long time because it’s the right thing to do,” said Narayan Kulshrestha, a GPU power architect at NVIDIA who’s been working in the field nearly two decades.

For example, Dynamic Boost 2.0 uses deep learning to automatically direct power to a CPU, a GPU or a GPU’s memory to increase system efficiency. In addition, NVIDIA created a system-level design for laptops, called Max-Q , to optimize and balance energy efficiency and performance.

Building a Cyclical Economy

When a user replaces a system, the standard practice in green computing is that the old system gets broken down and recycled. But Matt Hull sees better possibilities.

“Our vision is a cyclical economy that enables everyone with AI at a variety of price points,” said Hull, the vice president of sales for data center AI products at NVIDIA.

So he aims to find the system a new home with users in developing countries who find it useful and affordable. It’s a work in progress seeking the right partner and writing a new chapter in an existing lifecycle management process .

Green Computing Fights Climate Change

Energy-efficient computers are among the sharpest tools fighting climate change.

Scientists in government labs and universities have long used GPUs to model climate scenarios and predict weather patterns. Recent advances in AI, driven by NVIDIA GPUs, can now help model weather forecasting 100,000x quicker than traditional models. Watch the following video for details:

In an effort to accelerate climate science, NVIDIA announced plans to build Earth-2 , an AI supercomputer dedicated to predicting the impacts of climate change. It will use NVIDIA Omniverse , a 3D design collaboration and simulation platform, to build a digital twin of Earth so scientists can model climates in ultra-high resolution.

In addition, NVIDIA is working with the United Nations Satellite Centre to accelerate climate-disaster management and train data scientists across the globe in using AI to improve flood detection.

Meanwhile, utilities are embracing machine learning to move toward a green, resilient and smart grid. Power plants are using digital twins to predict costly maintenance and model new energy sources, such as fusion-reactor designs.

What’s Ahead in Green Computing?

Feng sees the core technology behind green computing moving forward on multiple fronts.

In the short term, he’s working on what’s called energy proportionality, that is, ways to make sure systems get peak power when they need peak performance and scale gracefully down to zero power as they slow to an idle, like a modern car engine that slows its RPMs and then shuts down at a red light.

Long term, he’s exploring ways to minimize data movement inside and between computer chips to reduce their energy consumption. And he’s among many researchers studying the promise of quantum computing to deliver new kinds of acceleration.

It’s all part of the ongoing work of green computing, delivering ever more performance at ever greater efficiency.

Discover how AI is powering the future of clean energy .

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This complete deck covers various topics and highlights important concepts. It has PPT slides which cater to your business needs. This complete deck presentation emphasizes Green IT Powerpoint Presentation Slides and has templates with professional background images and relevant content. This deck consists of total of eighty three slides. Our designers have created customizable templates, keeping your convenience in mind. You can edit the color, text and font size with ease. Not just this, you can also add or delete the content if needed. Get access to this fully editable complete presentation by clicking the download button below.

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Content of this Powerpoint Presentation

Slide 1 : The slide introduces Green IT. Slide 2 : This is an Agenda slide. State your agendas here. Slide 3 : The slide displays Table of contents for presentation. Slide 4 : The slide continues table of contents. Slide 5 : This slide presents the overview of green cloud computing technology. Slide 6 : This slide represents the essential characteristics of green cloud computing technology. Slide 7 : This slide outlines the goals of green cloud computing technology. Slide 9 : The slide highlights title of contents which is to be discussed further. Slide 10 : This slide exhibits the human health impact of computer and information and communication technology waste. Slide 11 : This slide represents the role of green cloud computing in addressing climate change and global warming issues. Slide 12 : This slide describes various factors that make cloud computing environmentally friendly. Slide 13 : This slide outlines how green computing can improve security. Slide 14 : The slide depicts another title of contents. Slide 15 : This slide compares the hazardous and state-of-the-art recycling technologies for e-waste disposal. Slide 16 : The slide also renders title of contents. Slide 17 : This slide represents the environmental advantages of green cloud computing. Slide 18 : This slide illustrates the economic benefits of green cloud computing. Slide 19 : The slide again contains title of contents. Slide 20 : This slide presents the top cloud service providers for green computing. Slide 21 : The slide shows title of contents further. Slide 22 : This slide outlines the overview of certifications and education in green cloud computing. Slide 23 : The slide showcases title of contents further. Slide 24 : This slide gives an overview of virtualization and its benefits. Slide 25 : This slide describes the role of nano data centers in green cloud computing, including their benefits. Slide 26 : This slide represents the overview of the dynamic frequency and dynamic voltage scaling technique used in green cloud computing. Slide 27 : The slide demonstrates title of contents further. Slide 28 : This slide represents the introduction of green data centers and their performance metrics. Slide 29 : This slide represents the critical components of a green data center. Slide 30 : This slide continues the critical components of a green data center. Slide 31 : The slide renders another title of contents. Slide 32 : This slide gives an overview of the green buildings type of green data centers. Slide 33 : This slide describes introducing renewable energy types of green energy data centers. Slide 34 : This slide outlines the overview of energy efficient types of green data centers. Slide 35 : This slide gives an overview of the water and wastewater management types of green data centers. Slide 36 : This slide represents the overview of waste management types of green data centers. Slide 37 : The slide again contains title of contents. Slide 38 : This slide outlines the critical metrics for determining the sustainability level of data centers. Slide 39 : This slide displays the power usage effectiveness performance metric of data center performance. Slide 40 : This slide highlights the overview of carbon usage effectiveness performance matric of a green data center. Slide 41 : The slide highlights another title of contents. Slide 42 : This slide describes the industrial efforts and restrictions of the green cloud computing program. Slide 43 : The slide displays title of contents which is to be discussed further. Slide 44 : This slide represents the three-tier architecture of green cloud computing. Slide 45 : This slide presents the overview of algorithms used in green cloud computing. Slide 46 : Th slide again exhibits title of contents. Slide 47 : This slide gives an overview of green usage, including the methods for users to conserve energy. Slide 48 : This slide outlines the overview of green design in green computing and its various aspects of it. Slide 49 : This slide depicts the overview of green manufacturing, including materials and suppliers. Slide 50 : This slide represents the various organizations that are dedicated to producing eco-friendly computing systems and their components. Slide 51 : This slide illustrates the materials used by manufacturers that are used to manufacture eco-friendly computer components. Slide 52 : This slide gives an overview of the disposal procedure of green computing. Slide 53 : This slide outlines how power conservation can promote green cloud computing and prevent energy. Slide 54 : The slide illustartes title of contents further. Slide 55 : This slide describes the training program for green cloud computing awareness. Slide 56 : This slide outlines the summary of total budget for manufacturing green computing products. Slide 57 : The slide describes title of contents further. Slide 58 : This slide illustrates the checklist to implementing green cloud computing in a company. Slide 59 : This slide outlines the different methods of green cloud computing programs adoption. Slide 60 : This slide shows the five methods to migrate toward sustainable green cloud computing in an organization. Slide 61 : This slide displays the power management process in green cloud computing. Slide 62 : This slide represents the steps to offset greenhouse gas emissions. Slide 63 : This slide outlines the timeline to implement green cloud computing in an organization. Slide 64 : This slide renders the roadmap to implement green cloud computing in the organization. Slide 65 : This slide describes the performance tracking dashboard for green cloud computing. Slide 66 : The slide depicts another title of contents. Slide 67 : This slide outlines the various challenges that come while implementing green cloud computing measures. Slide 68 : This slide shows the various hurdles organizations can face while adopting green cloud computing. Slide 69 : The slide exhibits another title of contents. Slide 70 : This slide represents the positive effect of green cloud computing on the environment. Slide 71 : The slide renders title of contents further. Slide 72 : This slide presents the overview of green cloud computing applications. Slide 73 : This slide outlines the case study of Coca-Cola’s green computing strategy implementation. Slide 74 : This slide shows all the icons included in the presentation. Slide 75 : This slide is titled as Additional Slides for moving forward. Slide 76 : This slide represents the overview of green cloud computing. Slide 77 : The slide describes Hidden ecosystem of IT product. Slide 78 : This is Our Mission slide with related imagery and text. Slide 79 : This is a Timeline slide. Show data related to time intervals here. Slide 80 : This slide showcases Magnifying Glass to highlight information, specifications etc. Slide 81 : This slide provides 30 60 90 Days Plan with text boxes. Slide 82 : This is Our Target slide. State your targets here. Slide 83 : This slide shows Post It Notes. Post your important notes here. Slide 84 : This slide depicts Venn diagram with text boxes. Slide 85 : This slide shows SWOT describing- Strength, Weakness, Opportunity, and Threat. Slide 86 : This is a Thank You slide with address, contact numbers and email address.

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Ratings and Reviews

by Edward Nunez

October 11, 2023

by Cyril Gibson

October 10, 2023

Green Computing

Sep 06, 2014

200 likes | 734 Views

Green Computing. Green C omputing. Green computing is the study and practice of using computing resources efficiently. criteria for measuring organizational success: The triple bottom line , TBL economic, ecological and social or people, planet, profit. "People" (human capital).

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• energy efficiency
• reducing power
• power management
• power saving aspects
• power usage effectiveness pue

Presentation Transcript

Green Computing • Green computing is the study and practice of using computing resources efficiently. • criteria for measuring organizational success: The triple bottom line, TBL • economic, ecological and social • or people, planet, profit

"People" (human capital) • "People" pertains to fair and beneficial business practices toward labor and the community and region in which a corporation conducts its business. • a TBL business would not knowingly use child labour, would pay fair salaries to its workers, would maintain a safe work environment and tolerable working hours, and would not otherwise exploit a community or its labour force. A TBL business also typically seeks to "give back" by contributing to the strength and growth of its community with such things as health care and education.

"Planet" (natural capital) • "Planet" (natural capital) refers to sustainable environmental practices. A TBL company endeavors to benefit the natural order as much as possible or at the least do no harm and curtail environmental impact. • A TBL endeavor reduces its ecological footprint, a measure of human demand on the Earth's ecosystems. • carefully managing its consumption of energy and non-renewables • reducing manufacturing waste • rendering waste less toxic before disposing of it in a safe and legal manner. • avoiding ecologically destructive practices, such as overfishing or other endangering depletions of resources.

"Profit" • "Profit" is the bottom line shared by all commerce, conscientious or not. • the economic benefit enjoyed by the host society. • not limited to the internal profit made by a company or organization.

Approaches to green computing • Algorithmic efficiency • the cost of hardware has declined relative to the cost of energy • Virtualization • With virtualization, several physical systems are combined into one singlesystem, thereby unplugging the original hardware and reducing power and cooling consumption. • Terminal Servers • When using terminal servers, users connect to a central server; all of the computing is done at the server. • Thin client • Power management • The Advanced Configuration and Power Interface (ACPI), an open industry standard, allows an operating system to directly control the power saving aspects of its underlying hardware. • Sleep mode • Energy saving Devices • Solid State storage, LCD monitor with cold-cathode fluorescent bulb or light-emitting diodes (LEDs) • Recycling: e-Waste • Telecommuting • Teleconference, VoIP (Voice Over Internet Protocol)

Research Reveals Environmental Impact of Google Searches • A typical search generates about 7 grams of CO2. Boiling a kettle generates about 15 grams. • Google generated as much greenhouse gas as the world's airlines — about 2 percent of global CO2 emissions. • Google operates huge data centers around the world that consume a great deal of power. • Google has servers in the U.S., Europe, Japan and China. • your request doesn't go to just one server. It goes to several competing against each other and sends you data from whichever produces the answer fastest. The system minimizes delays but raises energy consumption.

Performance per watt • In computing, performance per watt is a measure of the energy efficiency of a particular computer architecture or computer hardware. Literally, it measures the rate of computation that can be delivered by a computer for every watt of power consumed. • FLOPS per watt

The Green Grid • The Green Grid is an international non-profit organization with a mandate to increase energy efficiency in the IT sector. The objectives of this organization include helping to create and promote adoption of metrics and standards to measure datacenter power efficiency, as well as processes and technologies that can help data centers improve performance against those metrics. • Power Usage Effectiveness (PUE) and data center infrastructure efficiency (DCiE) • http://www.thegreengrid.org/

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• Preferences

GREEN COMPUTING - PowerPoint PPT Presentation

GREEN COMPUTING

Amit kumar anand ankur sinha computer science and engineering n.i.t jamshedpur green computing why computer energy is often wasteful leaving the computer on when not ... – powerpoint ppt presentation.

• Computer Energy is Often Wasteful
• Leaving the computer on when not in use (CPU and
• fan consume power, screen savers consume power)
• Insufficient Power and Cooling Capacities
• Data centers have insufficient cooling capacities.
• Manufacturing techniques
• Disposal of computers and components
• There are toxic chemicals used in the manufacturing of
• computers and components which can enter the food
• chain and water!
• Three areas of focus
• Purchase/Disposal
• Responsible computer purchase and disposal
• considerations.
• Energy use and efficient ways to computing.
• Reducing waste
• Using computers to reduce the use of natural
• The process of running two or more logical computer systems on one set of hardware.
• Virtualization helps a company / enterprise lower power and cooling consumption, by reducing the number of machines and
• servers it needs.
• Virtualization platforms can run across
• hundreds of interconnected physical
• computers and storage devices, to
• create an entire virtual infrastructure.
• Turn off computers and printers when not in use.
• Make sure computer is set to sleep
• when not in use.
• Laptops should be preferred over desktops.
• Watching DVD by copying it to hard drive should be preferred over watching directly from CD-ROM.
• Energy saved 40
• CRT Monitor (17) uses 80 watts.
• LCD Monitor (17) uses 35 watts.
• LED Monitor (17) uses 25 watts.
• LEDs Rare and Expensive
• LCDs preferred for general users.
• Disposal of the computing devices constitute 20-50 million tons per year (about 5 of the total waste of the planet)
• this waste is called e-waste
• e-waste handling
• Change your subscriptions to online not paper .
• Optimize computer performance.
• Decrease screen brightness.
• Change from XP to Vista.
• Consider LCDs over CRTs.
• Consider laptops over desktops.
• Have a energy efficient approach.

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Soluna Announces Monthly Business Update

ALBANY, N.Y. --(BUSINESS WIRE)-- Soluna Holdings, Inc. (“SHI” or the “Company”), (NASDAQ: SLNH), a developer of green data centers for Bitcoin mining and other intensive computing applications, announced its March project site-level operations, developments, and updates.

The Company has provided the following Corporate and Site Updates.

Key Company Metrics:

The monthly metrics are now available here .

Corporate Highlights:

• Strong Q4 – Announced Fourth Quarter and FY2023 Financial Results. View and download our CEO’s summary presentation here .
• Nvidia GTC Conference – Our CTO and CEO attended the Nvidia’s GTC2024 developer conference and continued discussions with potential customers and partners for our AI Venture.
• First AI Hosting Customer Deployed – we deployed the first phase of our new AI Hosting deal at Project Sophie.
• AI Technology Conference – John Belizaire is scheduled to present at the AI & Technology Hybrid Investor Conference presented by Water Tower Research and hosted by VirtualInvestorConferences.com , on April 10th, 2024 .
• AMA - The Company published responses to investor questions in its monthly AMA for March. View the responses here .
• New Website – Soluna launched a new website that tells our story and focuses on building Renewable Computing for Bitcoin Mining and AI .
• Monetized Wasted Energy – curtailed energy consumed in February increased to 11,927 MWh, a 106% increase compared to January.
• Patent Awarded – One of Soluna’s two utility patent applications filed by the Company was granted (Patent # US20230013746A1) in 2023, and focuses on the layout of modular data center buildings on a site, crucial for thermal efficiency conversion of wasted energy into computing.

Key Project Updates:

Project Dorothy 1A (25 MW, Hosting) / Project Dorothy 1B (25 MW, Prop-Mining):

• Executed supplemental agreement with one of our strategic hosting partners to expand the deployed fleet at the site to take advantage of additional efficiencies identified in power design.
• Optimal weather conditions continued for a very strong month of consistent operations with low amounts of data center curtailment.

Project Dorothy 2 (50 MW):

• Our Power partner’s approval process is near complete.
• The construction Bid process is near complete. Potential construction partners will be selected soon.

Project Sophie (25 MW, Hosting with Profit Share):

• Installation of our first AI customer was completed and transitioned to steady state operations.
• Infrastructure upgrades underway to improve hosting customer experience.

Project Kati (166 MW):

• Final stages of commercial agreement on the PPA is nearing completion.
• ERCOT planning continues to progress with final comments received on the reactive power study.
• Negotiations continue with the landowners for the site lease.
• Discussion continues with critical equipment providers.

View Soluna’s Earnings Power Presentation here .

View Soluna’s recent AMA here .

Safe Harbor Statement

This announcement contains forward-looking statements. These statements are made under the "safe harbor" provisions of the U.S. Private Securities Litigation Reform Act of 1995. These forward-looking statements can be identified by terminology such as "will," "expects," "anticipates," "future," "intends," "plans," "believes," "estimates," "confident" and similar statements. Soluna Holdings, Inc. may also make written or oral forward-looking statements in its periodic reports to the U.S. Securities and Exchange Commission , in its annual report to shareholders, in press releases and other written materials and in oral statements made by its officers, directors or employees to third parties. Statements that are not historical facts, including but not limited to statements about Soluna’s beliefs and expectations, are forward-looking statements. Forward-looking statements involve inherent risks and uncertainties, further information regarding which is included in the Company's filings with the Securities and Exchange Commission . All information provided in this press release is as of the date of the press release, and Soluna Holdings, Inc. undertakes no duty to update such information, except as required under applicable law.

Non GAAP Measures

In addition to figures prepared in accordance with GAAP, Soluna from time to time presents alternative non-GAAP performance measures, e.g., EBITDA, adjusted EBITDA, adjusted net profit/loss, adjusted earnings per share, free cash flow, both on a company basis and on a project-level basis. Project level measures may not take into account a full allocation of corporate expenses. These measures should be considered in addition to, but not as a substitute for, the information prepared in accordance with GAAP. Alternative performance measures are not subject to GAAP or any other generally accepted accounting principle. Other companies may define these terms in different ways. See our annual report on Form 10-K for the year ended December 31, 2023 for an explanation of how management uses these measures in evaluating its operations.

About Soluna Holdings, Inc (SLNH)

Soluna is on a mission to make renewable energy a global superpower using computing as a catalyst. The company designs, develops, and operates digital infrastructure that transforms surplus renewable energy into global computing resources. Soluna’s pioneering data centers are strategically co-located with wind, solar, or hydroelectric power plants to support high-performance computing applications including Bitcoin Mining, Generative AI, and other compute-intensive applications. Soluna’s proprietary software MaestroOS(™) helps energize a greener grid while delivering cost-effective and sustainable computing solutions, and superior returns. To learn more visit solunacomputing.com . Follow us on X (formerly Twitter) at @SolunaHoldings.

View source version on businesswire.com : https://www.businesswire.com/news/home/20240408540563/en/

Sam Sova Partner and CEO SOVA [email protected]

Source: Soluna Holdings, Inc.

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