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Future-proof your business: cloud storage without the climate cost – CloudTech News

With over half of all corporate data held in the cloud as of 2022, demand for cloud storage has never been higher. This has triggered extreme energy consumption throughout the data centre industry, leading to hefty greenhouse gas (GHG) emissions.

Worryingly, the European Commission now estimates that by 2030, EU data centre energy use will increase from 2.7% to 3.2% of the Unions total demand. This would put the industrys emissions almost on par with pollution from the EUs international aviation.

Despite this, it must be remembered that cloud storage is still far more sustainable than the alternatives.

Why should we consider cloud storage to be sustainable?

Its important to put the energy used by cloud storage into context and consider the savings it can make elsewhere. Thanks to file storage and sharing services, teams can collaborate and work wherever they are, removing the need for large offices and everyday commuting.

As a result, businesses can downsize their workspaces as well as reduce the environmental impact caused by employees travelling. In fact, its estimated that working from home four days a week can reduce nitrogen dioxide emissions by around 10%.

In addition, cloud storage reduces reliance on physical, on-premises servers. For small and medium-sized businesses (SMBs), having on-site servers or their own data centres can be expensive, whilst running and cooling the equipment requires a lot of energy, which means more CO2 emissions.

Cloud servers, on the other hand, offer a more efficient alternative. Unlike on-premises servers that might only be used to a fraction of their capacity, cloud servers in data centres can be used much more effectively. They often operate at much higher capacities, thanks to virtualisation technology that allows a single physical server to act as multiple virtual ones.

Each virtual server can be used by different businesses, meaning fewer physical units are needed overall. This means less energy is required to power and cool, leading to a reduction in overall emissions.

Furthermore, on-premises servers often have higher storage and computing capacity than needed just to handle occasional spikes in demand, which is an inefficient use of resources. Cloud data centres, by contrast, pool large amounts of equipment to manage these spikes more efficiently.

In 2022, the average power usage effectiveness of data centres improved. This indicates that cloud providers are using energy more efficiently and helping companies reduce their carbon footprint with cloud storage.

A sustainable transition: three steps to create green cloud storage

Importantly, there are ways to further improve the sustainability of services like cloud storage, which could translate to energy savings of 30-50% through greening strategies. So, how can ordinary cloud storage be turned into green cloud storage? We believe there are three fundamental steps.

Firstly, businesses should carefully consider location. This means choosing a cloud storage provider thats close to a power facility. This is because distance matters. If electricity travels a long way between generation and use, a proportion is lost. In addition, data centres located in cooler climates or underwater environments can cut down on the energy required for cooling.

Next, businesses should quiz green providers about what theyre doing to reduce their environmental impact. For example, powering their operations with wind, solar or biofuels minimises reliance on fossil fuels and so lowering GHG emissions. Some facilities will house large battery banks to store renewable energy and ensure a continuous, eco-friendly power supply.

Last but certainly not least, technology offers powerful ways to enhance the energy efficiency of cloud storage. Some providers have been investing in algorithms, software and hardware designed to optimise energy use. For example, introducing frequency scaling or AI and machine learning algorithms can significantly improve how data centres manage power consumption and cooling.

For instance, Googles use of its DeepMind AI has reduced its data centre cooling bill by 40% a prime example of how intelligent systems can work towards greater sustainability.

At a time when the world is warming up at an accelerating rate, selecting a cloud storage provider that demonstrates a clear commitment to sustainability can have a significant impact. In fact, major cloud providers like Google, Microsoft and Amazon have already taken steps to make their cloud services greener, such as by pledging to move to 100 per cent renewable sources of energy.

Cloud storage without the climate cost

The clouds impact on businesses is undeniable, but our digital growth risks an unsustainable future with serious environmental consequences. However, businesses shouldnt have to choose between innovation and the planet.

The answer lies in green cloud storage. By embracing providers powered by renewable energy, efficient data centres, and innovative technologies, businesses can reap the clouds benefits without triggering a devastating energy tax.

The time to act is now. Businesses have a responsibility to choose green cloud storage and be part of the solution, not the problem. By making the switch today, we can ensure the cloud remains a convenient sanctuary, not a climate change culprit.

Check out the upcomingCloud Transformation Conference, a free virtual event for business and technology leaders to explore the evolving landscape of cloud transformation.Book your free virtual ticket to deep dive into the practicalities and opportunities surrounding cloud adoption.Learn more here.

Tags: climate, costs, Storage, sustainability

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On Cloud Computing And Learning To Say No – Hackaday

Do you really need that cloud hosting package? If youre just running a website no matter whether large or very large you probably dont and should settle for basic hosting. This is the point that [Thomas Millar] argues, taking the reader through an example of a big site like Business Insider, and their realistic bandwidth needs.

From a few stories on Business Insider the HTML itself comes down to about 75 kB compressed, so for their approximately 200 million visitors a month theyd churn through 30 TB of bandwidth for the HTML assuming two articles read per visitor.

This comes down to 11 MB/s of HTML, which can be generated dynamically even with slow interpreted languages, or as [Thomas] says would allow for the worlds websites to be hosted on a system featuring single 192 core AMD Zen 5-based server CPU. So whats the added value here? The reduction in latency and of course increased redundancy from having the site served from 2-3 locations around the globe. Rather than falling in the trap of edge cloud hosting and the latency of inter-datacenter calls, databases should be ideally located on the same physical hardware and synchronized between datacenters.

In this scenario [Thomas] also sees no need for Docker, scaling solutions and virtualization, massively cutting down on costs and complexity. For those among us who run large websites (in the cloud or not), do you agree or disagree with this notion? Feel free to touch off in the comments.

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Google is now authorized to host classified data in the cloud – Nextgov/FCW

Google Public Sector achieved a major milestone Tuesday for its U.S. government customers, announcing Defense Department authorization for its cloud platform to host secret and top secret classified data.

The accreditation instantly makes Googles cloud offering more competitive with rivals Amazon Web Services, Microsoft and Oracle as they vie for billions of dollars worth of business within the Defense Department and intelligence agencies.

We're thrilled to announce another significant milestone for Google Public Sector: the authorization of Google Distributed Cloud Hosted to host Top Secret and Secret missions for the U.S. Intelligence Community, and Top Secret missions for the Department of Defense, Leigh Palmer, the companys vice president of delivery and operations said at Google Cloud Next conference in Las Vegas. This authorization underscores Google Public Sector's commitment to empowering government agencies with secure, cutting-edge technology.

Google Distributed Cloud is the companys air-gapped solution built to meet the U.S. governments most stringent security standards. The suite of accredited tools includes capabilities like compute and storage, data analytics, machine learning and artificial intelligence and does not need to be connected to the public internet to function.

According to Palmer, Google developed its air-gapped cloud with a security-first approach, leveraging zero trust principles, Google best practices and the latest federal guidelines in application and hardware security, cryptography and cybersecurity.

The accreditation represents the culmination of a pivot back to defense work for Google, which in 2018 opted not to continue controversial AI work it was doing under a Pentagon program called Project Maven in part over employee concerns. In 2022, the tech giant formed a new division, Google Public Sector, in part to target a growing government market that spends more than $100 billion on technology each year.

The Defense Department and intelligence agencies represent a significant portion of that spending, and the ability to host secret and top secret government data now allows Google Public Sector to compete for task orders against Amazon Web Services, Microsoft and Oracle on two multi-billion dollar contracts: The Central Intelligence Agencys C2E contract and the Pentagons Joint Warfighting Cloud Capability contract.

Even before the accreditation, Google Public Sector performed work for the Army, Defense Innovation Unit and Air Force.

Google Cloud is committed to being a trusted partner and enabling public sector agencies to achieve their goals with the highest levels of security and innovation, Palmer said.

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Seekr finds the AI computing power it needs in Intels cloud – CIO

Intels cloud gives developers access to thousands of the latest Intel Gaudi AI accelerator and Xeon CPU chips, combined to create a supercomputer optimized for AI workloads, Intel says. It is built on open software, including Intels oneAPI, to support the benchmarking of large-scale AI deployments.

After it began evaluating cloud providers in December, Seekr ran a series of benchmarking tests before committing to the Intel Developer Cloud and found it resulted in 20% faster AI training and 50% faster AI inference than the metrics the company could achieve on premises with current-generation hardware.

Ultimately for us, it comes down to, Are we getting the latest-generation AI compute, and are we getting it at the right price? Clark says. Building [AI] foundation models at multibillion-parameters scale takes a large amount of compute.

Intels Gaudi 2 AI accelerator chip has previously received high marks for performance. The Gaudi 2 chip, developed by the Intel acquired Habana Labs, outperformed Nvidias A100 80GB GPU in tests run in late 2022 by AI company Hugging Face.

Seekrs collaboration with Intel isnt all about performance, however, says Clark. While Seekr needs cutting-edge AI hardware for some workloads, the cloud model also enables the company to limit its use to just the computing power it needs in the moment, he notes.

The goal here is not to use the extensive AI compute all of the time, he says. Training a large foundation model versus inferencing on a smaller, distilled model take different types of compute.

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Competition under threat as cloud giants selectively invest in startups, watchdog says – TechRadar

In a recent address at the 72nd Antitrust Law Spring Meeting in Washington DC, UK Competition and Markets Authority (CMA) CEO Sarah Cardell delved into the potential impact of the current AI landscape on competition and consumer protection.

Emphasizing AI's transformative benefits, Cardell implied that tech giants like Amazon, Google, and Microsoft have been selectively investing in specific startups.

Her speech, recorded via speakers notes, highlighted the need for proactive measures to ensure fair, open, and effective competition in the AI landscape.

Reflecting on the CMAs ongoing scrutiny of the cloud and AI industry, Cardell outlined a series of risks that current practices pose.

Concerns were raised about tech giants controlling critical inputs (such as compute and data) for foundation model development, potentially restricting access for other companies. Such restriction could lead to incumbent firms protecting their existing positions from disruption, which Cardell fears might even lead to market power in other markets beyond AI.

The CMAs CEO also noted that partnerships involving key players in the AI landscape, such as the big three, could reinforce their existing positions of market power and dominance, making it even harder for smaller companies to reach the top.

To address these concerns, the CMA has already committed to enhancing its merger review process to assess the implications of partnerships and arrangements and to monitor current and emerging partnerships more closely, including that of Microsoft and OpenAI.

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Finally, the CMA has plans to examine AI accelerator chips and their impact on the foundation model value chain.

As the AI landscape continues to evolve, its clear that the CMA remains committed to its existing investigations into dominant companies and encouraging competition.

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Amazon CEO says GenAI may be the biggest technology transformation since the cloud – TechRadar

In his annual year-end letter to shareholders, Amazon CEO Andy Jassy highlighted the significance of generative artificial intelligence not just for the companys profits but the entire technological landscape.

Likening its impact to that of the advent of the cloud, Jassys sentiments reflect a growing recognition of the power of GenAI among tech workers.

The news came as the company reported 12% year-on-year revenue growth to a staggering $575 billion.

Amazon Web Services (AWS), Amazon's cloud division that manages the generative AI side of operations, reported slightly higher revenue growth of 13% year over year. The divisions $91 billion income accounted for 15.8% of the companys accounts.

In the letter, Jassy stated: Generative AI may be the largest technology transformation since the cloud (which itself, is still in the early stages), and perhaps since the Internet.

Jassy also commented on GenAIs comparative simplicity, sharing that while moving from on-prem to the cloud requires a large migration effort, generative AI can be layered on top of existing work in the cloud.

He added: The amount of societal and business benefit from the solutions that will be possible will astound us all.

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The journey towards harnessing generative AIs full potential isnt without its challenges, though. Jassy acknowledged the technologys appetite for computing resources, software services, and infrastructure.

Looking ahead, the CEO touched upon the importance of collaboration and diversity in the AI landscape, adding that the vast majority [of GenAI applications] will ultimately be built by other companies.

Regarding the cloud computing business, the company's last full financial year started off with widespread cost-reducing efforts, including layoffs, but by the end, things started to look up thanks to investments in in-house components.

More broadly, though, Amazons CEO stated that the company is not done lowering our cost to serve, indicating that further measures of efficiency, including layoffs, could be on the cards. Amazons layoffs in the past three months have only affected a few hundred, making them significantly smaller than previous efforts.

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Ann Coulter: The Beautiful Humanity on Death Row – Northwest Georgia News

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AI Is Poised to Replace the Entry-Level Grunt Work of a Wall Street Career – The New York Times

Pulling all-nighters to assemble PowerPoint presentations. Punching numbers into Excel spreadsheets. Finessing the language on esoteric financial documents that may never be read by another soul.

Such grunt work has long been a rite of passage in investment banking, an industry at the top of the corporate pyramid that lures thousands of young people every year with the promise of prestige and pay.

Until now. Generative artificial intelligence the technology upending many industries with its ability to produce and crunch new data has landed on Wall Street. And investment banks, long inured to cultural change, are rapidly turning into Exhibit A on how the new technology could not only supplement but supplant entire ranks of workers.

The jobs most immediately at risk are those performed by analysts at the bottom rung of the investment banking business, who put in endless hours to learn the building blocks of corporate finance, including the intricacies of mergers, public offerings and bond deals. Now, A.I. can do much of that work speedily and with considerably less whining.

The structure of these jobs has remained largely unchanged at least for a decade, said Julia Dhar, head of BCGs Behavioral Science Lab and a consultant to major banks experimenting with A.I. The inevitable question, as she put it, is do you need fewer analysts?

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Experts on artificial intelligence | UCR News | UC Riverside – UC Riverside

For fast access to experts, TEXT or call the 24-hour-experts hotline at 951-312-3049, or email news@ucr.edu

Zizhong (Jeffrey) Chen, Associate Professor, Computer Science & Engineering

Vagelis Hristidis, Professor, Computer Science & Engineering

Eamonn Keogh, Professor, Computer Science & Engineering

Ravi Ravishankar, Associate Dean of Research and Graduate Education Computer Science & Engineering

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How Congress is regulating artificial intelligence – CNBC

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Some businesses using new artificial intelligence tools have reported big gains in labor productivity. These AI assistants, backed by some of the biggest names in tech, could someday change how work gets done in the U.S. As the technology shuffles up white-collar work in the U.S., some policymakers are pitching ideas like 32-hour work weeks and robot taxes. Meanwhile, other countries are banning high-risk uses of AI in sectors like education and financial services.

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How Congress is regulating artificial intelligence - CNBC

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