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Datacenters this year will face several challenges as the demand for artificialintelligence introduces an evolution in AI hardware, on-premises and cloud-based strategies for training and inference, and innovations in power distributionsall while opposition to new datacenter developments continues to grow.
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.
Microsoft has introduced a new design for datacenters to optimize artificialintelligence (AI) workloads, implementing a cooling system that it claims will consume zero water. Traditionally in Microsoft datacenters, water has been evaporated on-site to reduce the power demand of the cooling systems.
The world must reshape its technology infrastructure to ensure artificialintelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions.
Massive global demand for AI technology is causing datacenters to increase spending on servers, power, and cooling infrastructure. As a result, datacenter CapEx spending will hit $1.1 His projections account for recent advances in AI and datacenter efficiency, he says. Much of this growth is due to AI.
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 Gartner forecast highlights server sales, which are expected to triple in the coming years as genAI pushes datacenter systems spending up by 15.5% Gartner anticipates artificialintelligence and genAI to influence spending in these areas as well. trillion by 2025. Spending on software will also increase by 14% to $1.23
New middleware from Fujitsu has achieved more than a 2x increase in GPU computational efficiency for artificialintelligence (AI) workloads in trials according to the company, which designed the technology specifically to help solve the issue of GPU limitations and shortages related to computing demands of AI.
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.”
Edgecore Networks is taking the wraps off its latest datacenter networking hardware, the 400G-optimized DCS511 spine switch. This new hardware offering aims to address the increasing demands of modern computing infrastructures, particularly in the realms of cloud computing and artificialintelligence.
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.
The change in the UK government following the general election on July 4 is also leading to a change in the country’s planning policies for datacenter construction. The new Labour government is reconsidering two urban planning decisions that had put the brakes on datacenter investments. a year to reach $10.13
growth this year, with datacenter spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. Datacenter spending will increase again by 15.5% in 2025, but software spending — four times larger than the datacenter segment — will grow by 14% next year, to $1.24
Networking software provider Aviz Networks today announced a $17 million Series A funding round to accelerate its growth in open networking solutions and artificialintelligence capabilities. The new funding follows a $10 million round announced in December 2023.
Today’s datacenters have a multitude of well-known issues: They gobble up massive amounts of energy and space, are costly, and struggle to meet the intense resource demands of next-gen artificialintelligence (AI). This represents a roughly 20X higher cost than that of an orbiting datacenter.
An industry generative artificialintelligence (genAI) alliance, the AI Infrastructure Partnership (AIP), on Wednesday announced that xAI, Nvidia, GE Vernova, and NextEra Energy were joining BlackRock, Microsoft, and Global Infrastructure Partners as members.
billion (£10 billion) to build one of Europe’s largest AI datacenters in Northumberland, UK, the British Prime Minister’s office said in a statement. The project is expected to enhance the UK’s AI infrastructure, catering to the vast data storage demands of AI technologies. US private equity giant Blackstone is investing $13.3
Microsoft and BlackRock are leading a group of investment companies with plans to plow up to $100 billion into the development of datacenters for artificialintelligence and the energy infrastructure to power them. Installed datacenter capacity today exceeds 70 gigawatts.
Artificialintelligence is driving growth for the IT workforce, and jobs in the technology sector are stabilizing as the market continues to show moderate growth amidst economic volatility, rapid hiring cycles, and public layoffs , according to a new study by IT staffing firm Motion Recruitment.
AIOps certifications to elevate your IT career : Cisco, IBM, Microsoft, AWS, and others are offering training and certifications that can help IT pros demonstrate expertise in using artificialintelligence for IT operations, or AIOps. Can NaaS mitigate network skills gaps?
Saudi Arabia has announced a 100 billion USD initiative aimed at establishing itself as a major player in artificialintelligence, data analytics, and advanced technology. These include datacenter expansion, tech startups, workforce development, and partnerships with leading technology firms.
In the age of artificialintelligence (AI), how can enterprises evaluate whether their existing datacenter design can fully employ the modern requirements needed to run AI? Evaluating datacenter design and legacy infrastructure. The art of the datacenter retrofit.
Generative artificialintelligence (genAI) is the latest milestone in the “AAA” journey, which began with the automation of the mundane, lead to augmentation — mostly machine-driven but lately also expanding into human augmentation — and has built up to artificialintelligence. Artificial?
As artificialintelligence technology heats up, datacenter operators are struggling to keep facility temperatures down. Its a battle with chilling consequences.
Artificialintelligence is an early stage technology and the hype around it is palpable, but IT leaders need to take many challenges into consideration before making major commitments for their enterprises. Analysts at this week’s Gartner IT Symposium/Xpo spent tons of time talking about the impact of AI on IT systems and teams.
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.
Datacenters are hot, in more ways than one. Not only are enterprises and hyperscalers building or expanding their facilities to accommodate increasing interest in artificialintelligence, but that same AI is gobbling power, and thus creating heat — a lot of it. And that means cooling costs are also growing.
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.,
Artificialintelligence (AI) has upped the ante across all tech arenas, including one of the most traditional ones: datacenters. Modern datacenters are running hotter than ever – not just to manage ever-increasing processing demands, but also rising temperatures as the result of AI workloads, which sees no end in sight.
After more than two years of domination by US companies in the arena of artificialintelligence,the time has come for a Chinese attackpreceded by many months of preparations coordinated by Beijing. See also: US GPU export limits could bring cold war to AI, datacenter markets ] China has not said its last word yet.
McGregor described Dynamo as significant: Think of an OS for an entire datacenter. This gets to [Nvidia CEO Jensen Huangs] view that the new unit of compute is the datacenter, or to put it another way, you have to think of the entire datacenter as a single server. So, this is huge.
During the event, Cisco positioned itself as a unique partner for customers facing challenges from the changing nature of the workplace to the revolution of artificialintelligence (AI) in datacenters and network infrastructure or the need for digital resilience, said Oliver Tuszik, Ciscos vice president for EMEA.
Amazon Web Services demonstrated data processing in orbit in 2022, using a payload on D-Orbit’s ION satellite carrier, shown in this artist’s conception. (D-Orbit “We have reached the limit of human capacity to digest petabytes and petabytes of data in real time and make any sort of intelligent decisions about them.
The EGP 1 billion investment will be used to bolster the banks technological capabilities, including the development of state-of-the-art datacenters, the adoption of cloud technology, and the implementation of artificialintelligence (AI) and machine learning solutions.
Artificialintelligence for IT operations (AIOps), for instance, is a common practice that uses automation to improve broader IT operations. AI networking is specific to the network itself, covering domains including multi-cloud software, wired and wireless LAN, datacenter switching, SD-WAN and managed network services (MNS).
ArtificialIntelligence (AI), a term once relegated to science fiction, is now driving an unprecedented revolution in business technology. Data mobility across datacenters, cloud, and edge is essential, but businesses face challenges in adopting edge strategies. Nutanix commissioned U.K.
Cisco this week furthered its commitment to help customers support and develop artificialintelligence systems by rolling out new certification and training courses aimed at teaching professionals everything from how to incorporate AI into specific roles to advanced networking design.
In my role as CTO, I’m often asked how Digital Realty designs our datacenters to support new and future workloads, both efficiently and sustainably. Digital Realty first presented publicly on the implications of AI for datacenters in 2017, but we were tracking its evolution well before that.
datacenters with nuclear energy have run into a significant hurdle. Earlier this year, Amazon acquired the Cumulus datacenter complex next to the Susquehanna plant for $650 million. Earlier this year, Amazon acquired the Cumulus datacenter complex next to the Susquehanna plant for $650 million.
“Because FortiDLP is cloud-native/SaaS and agent-based, the solution can be turned up in minutes to provide immediate visibility into business data flows, and initiate the baselining of user data.” How AI fits into FortiDLP ArtificialIntelligence (AI) fits into FortiDLP in a number of ways.
But a crucial part of the tech world is often overlooked, despite its equally dynamic growth: the datacenter industry. What datacenter trends and buzzwords should you be aware of in 2025? How have datacenters evolved over the past few decades? 2020s Modern hyperscale datacenters consume >100 MW.
The AI infrastructure challenge for networking at hyper scale The demands of AI are changing the way datacenters and particularly hyperscale datacenters need to operate. The AI wave is right in front of us, and it is causing a massive disruption, including at the infrastructure level, Sadana told Network World.
IT budgets are seeing modest increases, according to recent survey data, with businesses looking to invest their IT dollars in artificialintelligence, data analytics, networking and more. Avasant Research polled 371 organizations in the U.S.
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