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On the demand side for datacenters, large hyperscale cloud providers and other corporations are building increasingly bigger large language models (LLMs) that must be trained on massive compute clusters. Still, several questions remain about DeepSeeks training, infrastructure, and ability to scale, Schneider stated.
Even as demand for data infrastructure surges to an all-time high, Equinix is planning to lay off 3% of its workforce, suggesting a growing skills mismatch in the industry. According to Goldman Sachs , datacenter demand in the US alone is projected to nearly triple by 2030, driving more than $1 trillion in investment.
As datacenters evolve from traditional compute and storage facilities into AI powerhouses, the demand for qualified professionals continues to grow exponentially and salaries are high. The rise of AI, in particular, is dramatically reshaping the technology industry, and datacenters are at the epicenter of the changes.
According to a report released this week by Bloom Energy, US datacenters will need 55 gigawatts of new power capacity within the next five years. The report , based on a survey of 100 datacenter leaders, also shows that 30% of all sites will be using onsite power by 2030.
Lightmatter has announced new silicon photonics products that could dramatically speed up AI systems by solving a critical problem: the sluggish connections between AI chips in datacenters. Industry implications The introduction of silicon photonics into AI infrastructure represents a potential shift in how datacenters are designed.
The construction of massive datacenter campuses is booming, with hyperscalers, colocation providers and large enterprises developing new capacity to support the exploding requirements of AI. These are not normal times There has always been growth in datacenter capacity but never anything like this. TWh to 162.5
In 2019, Gartner analyst Dave Cappuccio issued the headline-grabbing prediction that by 2025, 80% of enterprises will have shut down their traditional datacenters and moved everything to the cloud. The enterprise datacenter is here to stay. As we enter 2025, here are the key trends shaping enterprise datacenters.
In a blog post, Google announced an agreement with Kairos Power to source nuclear energy, aiming to bring the first SMR online by 2030, with more reactors planned by 2035. In March, Amazon acquired a nuclear-powered datacenter from Talen Energy. Most recently Microsoft wound down an attempt to create underwater datacenters.
Datacenters could consume upwards of 9% of US electricity generation by 2030, more than double the amount currently used, although the role AI contributing to the demand, a new study has found. While AI applications are estimated to use only 10%-20% of datacenter electricity today, that percentage is growing rapidly.”
The program, known as Project Transcendence, marks a significant push by the Kingdom to develop a robust AI ecosystem that can rival leading tech hubs, including neighbouring United Arab Emirates and other global technology centers. In recent years, the Kingdom has set up research centers, ministries, and educational programs focused on AI.
The rapid expansion of AI and generative AI (GenAI) workloads could see 40% of datacenters constrained by power shortages by 2027, according to Gartner. The surge is attributed to the increased deployment of large-scale language models (LLMs) and complex algorithms that require massive data processing capabilities.
Datacenter power constraints and burgeoning AI workloads have companies scrambling to find new sources of electricity. That’s why, in an effort to find new energy sources—and in the face of the push to make it clean energy—datacenter owners are turning to nuclear power. times the 2023 level. times the 2023 level.
A test involving hydrogen fuel cells that is currently taking place in Dublin, Ireland at an Equinix International Business Exchange (IBX) datacenter proves progress is occurring in this space, but it is certainly not a “super meaningful step forward,” according to an analyst with Dell’Oro Group.
AI applications and ML workloads account for nearly 20% of datacenter electricity consumption today, according to the Electric Power Research Institute (EPRI), and datacenters are projected to represent up to 9.1% electricity generation annually by 2030. of total U.S.
Illustration of the Microsoft’s closed-loop system for future datacenters that will recycle water for cooling its computing operations. Microsoft Image) Microsoft revealed details of new approach to cooling datacenters that won’t lose water to evaporation. But that number used to be even higher.
AWS, Microsoft, and Google are going nuclear to build and operate mega datacenters better equipped to meet the increasingly hefty demands of generative AI. Earlier this year, AWS paid $650 million to purchase Talen Energy’s Cumulus Data Assets, a 960-megawatt nuclear-powered datacenter on site at Talen’s Susquehanna, Penn.,
The European Union will take a big step toward regulating energy and water use by datacenters in September, when organizations operating datacenters in EU nations will be required to file reports detailing water and energy consumption, as well as steps they are taking to reduce it. between 2020 and 2030.
Amidst this progress, however, the lack of datacenter access raises a big challenge to Africas connectivity, as most countries in Africa have a national datacenter. But to build this data residency, increased datacenter and digital infrastructure investment is needed.
Así, con el propósito de hacer un uso sostenible de estos datacenter, el análisis del ciclo de vida (ACV) se ha perfilado como una herramienta táctica y crucial para las compañías del sector. Un volumen comparable al consumo anual de electricidad de 1.700 a 2.800 hogares europeos.
This involves the prosaic but essential activities of good information management: data cleaning, deduplicating, validating, structuring, and checking ownership. However, this will depend on the speed at which new AI-ready datacenters are built relative to demand.
For datacenter capacity to spread to more regions of Africa, there will need to be a major effort to create structure for overland routes. This initiative aims to digitally connect every individual, business, and government in Africa by 2030. billion inhabitants making up 15% of the global population.
Proof of this is the KSA Cloud First Policy, announced in October 2020 by Saudi Arabia’s Ministry of Communications and InformationTechnologies, after the launch of a cloud datacenter in the city of Jeddah, by Oracle. The importance of education in supporting the success of Saudi Vision 2030 cannot be overstated.
A recommendation by a US Department of Energy (DoE) working group to create an AI test bed that will be mandated with finding ways to create datacenters that are more energy efficient than they are today represents a good step forward, but much needs to be done, an analyst said today.
billion in the Middle East kingdom to build datacenters and a significant cloud presence in the region. Indeed, the kingdom is positioning itself as a global leader in digital technologies ahead of its hosting of the World Expo 2030 in Riyadh.
Verizon is building its AI ecosystem by repurposing its existing infrastructure assets in its intelligent and programmable network, which consists of fiber, edge networking, and datacenter assets, along with its metro and long-haul fiber, ILEC and Fios footprint, its metro network build-out, lit and dark fiber services, and 5G network.
In the energy and utilities sector, sustainability goals, such as Saudi Arabias Vision 2030 and UAEs Net Zero 2050, will drive investment in smart grids, renewable energy, and AI-driven energy efficiency solutions. Fintech hubs like Dubai and Riyadh will continue attracting global and regional players.
According to the firm, our current era, that of noisy intermediate-scale quantum will last until 2030. Broad quantum advantage where quantum computers can be used to solve problems that traditional computers cant handle will last from approximately 2030 to 2040, according to the Boston Computing Group.
billion (Rs 36,300 crore) to scale it till the end of 2030. We welcome AWS’s commitment to invest approximately INR 36,300 crores in the AWS Region in Hyderabad, which strengthens Telangana’s position as a progressive datacenter hub in India,” K. billion to India’s gross domestic product by 2030.
Businesses increasingly rely on powerful computing systems housed in datacenters for their workloads. As the datacenter market expands, at an estimated growth rate of 10.5% from 2024 to 2030 1 , energy consumption has become a major concern. That’s a lot of energy.
With the paradigm shift from the on-premises datacenter to a decentralized edge infrastructure, companies are on a journey to build more flexible, scalable, distributed IT architectures, and they need experienced technology partners to support the transition.
Big tech commitments are ‘promising,’ but may not be enough There are many statistics floating around about AI and datacenter energy use, further stoking fears across enterprises, regulatory bodies, and everywhere in between. It will be the platform that drives a new generation of energy efficient datacenters,” said Pette.
ABI Research predicts that by 2030, more than 90% of enterprises will consume at least 25% of their network services via NaaS. Enterprises have been slow to adopt NaaS for a number of reasons, including confusion about exactly what NaaS is, lack of a solid business case, and questions around security, visibility and privacy. What is NaaS?
An Amazon datacenter in Oregon. This year Amazon, Microsoft and Google have all announced plans for purchasing nuclear energy to fuel their datacenter operations, which are growing rapidly as artificial intelligence increases computational demands. Inside an Amazon datacenter in Ohio. Virginia is a U.S.
NIST recently released its official post-quantum cryptography (PQC) timeline report that establishes 2030 as the target for PQC migration completion. While no one knows exactly when a quantum computer capable of breaking current standards such as RSA or ECC may exist, most experts believe its only a matter of time , Shorter says.
We also recognize the importance of reducing power consumption and enhancing our sustainability leadership that stems from continued energy efficiency improvements at our datacenters. Since 2011, Equinix has invested more than US$158 million in energy efficiency upgrades to reduce energy consumption within our datacenters.
To get the compute resources they need while also optimizing energy efficiency, some enterprises—and the service providers they partner with—look to position datacenters in colder environments, far away from major population centers. Like all other Equinix datacenters in Singapore, SG5 has 100% renewable energy coverage.
Power Innovations built a 250-kilowatt fuel cell system to help Microsoft explore the potential of using a hydrogen fuel cells for backup power generation at datacenters. Microsoft conducted the proof-of-concept at a datacenter near Salt Lake City, Utah. Power Innovations Photo).
billion USD to the global economy by 2030 and reduce greenhouse gas emissions by 4%. “We Datacenters and cloud solutions have to be manufactured with low-carbon materials. It’s our responsibility to provide green datacenters.
The facility is getting a new name in the deal, Crane Clean Energy Center , and is expected to become operational by 2028. Power demand is rising as Microsoft ramps up construction of new, power-hungry datacenters in order to support the increased use of artificial intelligence and generative AI.
It’s an idea we’re proud to support, as it aligns with our own DataCenter of the Future initiative. We believe investing in sustainable datacenter technologies isn’t just the right thing to do for the future of our planet; it can also be a key source of business value for our customers today.
Rather than using the traditional materials of steel and concrete for the entire build, Microsoft is using cross-laminated timber (CLT) for a new datacenter in Northern Virginia. The experiment is part of the company's drive to become carbon negative by 2030 and offset all its emissions since its founding. Read Entire Article
Rendering of a datacenter that Microsoft is building using cross-laminated timber for its floors and ceilings in order to reduce the amount of steel and concrete used, which have a bigger carbon impact. But they also need to put their datacenter infrastructure on low-carbon diets, moving away from traditional steel and concrete.
The increasing use of artificial intelligence and generative AI tools like ChatGPT will make Microsoft’s environmental targets even tougher to reach as they drive demand for ever more energy-gobbling datacenters built from carbon-intensive materials such as steel and concrete. We still have six years to go.
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