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Datacenters this year will face several challenges as the demand for artificial intelligence 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.
Enterprise IT leaders are facing a double-whammy of uncertainties complicating their datacenter building decisions: The ever-changing realities of genAI strategies, and the back-and-forth nature of the current tariff wars pushed by the United States. And if you slow down AI, that will slow down the datacenters.
The five fastest-growing hubs for datacenter expansion include an interesting mix of urban areas that have one thing in common: lots of available power. Based on projected data-center capacity growth, Las Vegas/Reno is the No. Upwind says a typical datacenter injects about $243.5 million homes.
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 artificial intelligence (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.
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.
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. Todays AI chips often sit idle waiting for data to arrive, wasting computing resources and slowing down results.
With all the focus on power consumption, the water consumption of datacenters has been somewhat overlooked. Datacenters are already wearing out their welcome in certain areas. And they draw heavily on local power resources, which is the main complaint, but now theyre also taking up lots of water.
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.
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
An improvement to the way Linux handles network traffic, developed by researchers at Canadas University of Waterloo, could make datacenter applications run more efficiently and save energy at the same time. In polling mode, the application requests data, processes it, and then requests more, in a continuous cycle.
A report by TD Cowen indicating that Microsoft is reportedly slowing down or possibly redirecting its datacenter construction plans is tied to the company potentially being in an oversupply position, analysts with the brokerage say. This, the company said, allows us to invest and allocate resources to growth areas for our future.
The goal of the middleware, which was released today to customers globally, is to improve resource allocation and memory management across various platforms and applications that use AI, according to a press release. All of these will be eventually passed on to datacenter operators’ customers and end users,” the researchers noted. “All
Cisco has unwrapped a new family of datacenter switches it says will help customers more securely support large workloads and facilitate AI development across the enterprise. The N9300 Smart Switch series is built on the vendors powerful 4.8T
The AI revolution is driving demand for massive computing power and creating a datacenter shortage, with datacenter operators planning to build more facilities. But it’s time for datacenters and other organizations with large compute needs to consider hardware replacement as another option, some experts say.
The chipmaker has released a series of what it calls Enterprise Reference Architectures (Enterprise RA), which are blueprints to simplify the building of AI-oriented datacenters. Building an AI-oriented datacenter is no easy task, even by datacenter construction standards.
The Singapore government is advancing a green datacenter strategy in response to rising demand for computing resources, driven in large part by resource-hungry AI projects. Datacenters can potentially benefit from 2% to 5% energy savings for every 1C increase in operating temperature.
Advanced Micro Devices (AMD) is laying off 4% of its global workforce, around 1,000 employees, as it pivots resources to developing AI-focused chips. In its recent earnings call, AMD CEO Lisa Su underscored that the datacenter and AI business is now pivotal to the company’s future, expecting a 98% growth in this segment for 2024.
also supports HPEs Data Fabric architecture which aims supply a unified and consistent data layer that allows data access across premises datacenters, public clouds, and edge environments with the idea of bringing together a single, logical view of data, regardless of where it resides, according to HPE.
The explosion of datacenter demand for AI use is draining water resources. Even with efforts to mitigate cooling demands, municipalities and companies struggle to find a balance.
Juniper Networks continues to fill out its core AI AI-Native Networking Platform, this time with a focus on its Apstra datacenter software. New to the platform is Juniper Apstra Cloud Services, a suite of cloud-based, AI-enabled applications for the datacenter, released along with the new 5.0
Regardless of where they are on their AI journey, organizations need to be preparing existing datacenters and cloud strategies for changing requirements, and have a plan for how to adopt AI, with agility and resilience, as strategies evolve,” said Jeetu Patel, chief product officer at Cisco.
The UK government added datacenters to its list of protected critical national infrastructure (CNI) on Thursday, the first change to its CNI list since 2015, when it added the space and defense sectors. Earlier this week, Amazon made a major investment in UK datacenters. “In
Immersion cooling in the datacenter space gets a lot of positive attention for the formulations that enhance thermal performance, material compatibility, and durability. Continue the conversation and get more information about CompuZol Immersion Fluid Solution for datacenters at: www.compuzol.com
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 artificial intelligence (AI). This represents a roughly 20X higher cost than that of an orbiting datacenter.
There’s a new type of switch that could soon be showing up in AI-optimized datacenters, a PCIe 6 fabric switch. How do you get from the scale-out network into the GPU so you can maximize GPU utilization, keep the GPU fed with data, as well as getting it back out?” Read more from this author Ciena and Arelion achieve 1.6
Often, businesses end up with inconsistent management practices and resource inefficiencies that hinder security and performance. Utilizing its FortiADC and FortiGSLB offerings, the service lets customers distribute traffic across multiple datacenters to ensure high app availability and reliability, Hwang stated.
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
Aruba Networks plans to prioritize development of a short list of key networking technologies – including data-center switching, private 5G , and secure access service edge ( SASE ) – that it finds are top of mind for enterprise customers. To read this article in full, please click here
Datacenters are in the spotlight due to their wasteful water use. What can be done to conserve this precious resource as we become increasingly reliant on datacenter services?
However, high-speed also means high power and higher heat, placing more demands on the electrical grid and resources and creating a demand for new options. At a time when many DC [datacenter] operators are facing challenges around power and cooling, LPO can save 25% of the networking power budget, at a system level.
(Read our related feature: Enterprises reevaluate virtualization strategies amid Broadcom uncertainty ) However, if youre looking strictly for a replacement on-prem virtualization platform, the analyst firm DataCenter Intelligence Group ( DCIG ) has identified five top alternatives to VMwares vSphere platform.
Still, even though the massive global momentum behind genAI is unlikely to be changed by the announcement, the addition of the two energy companies to the group was an implicit acknowledgement that the ever-increasing power requirements of genAI datacenters need serious attention.
In the age of artificial intelligence (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. Digital Realty alone supports around 2.4
The software requires direct hardware access due to its low-level integration with physical resources. A 2024 report from DataCenter Intelligence Group (DCIG) identified VergeOS as one of the top 5 alternatives to VMware. Its still sharing all the same resources, but its their own world from that point forward.
The vendors AI Defense package offers protection to enterprise customers developing AI applications across models and cloud services, according to Tom Gillis, senior vice president and general manager of Ciscos Security, DataCenter, Internet & Cloud Infrastructure groups. AI Defense will be available in March.
For day 2, AI can be used to allocate resources, identify and quickly address (and predict) problems in the network, centralize problem identification, automate recommendation and response, resolve lower-level support issues and reduce trouble ticket false positives through confirm-reject analysis, among other capabilities.
Imagine a world in which datacenters were deployed in space. Using a satellite networking system, data would be collected from Earth, then sent to space for processing and storage. The system would use photonics and optical technology, dramatically cutting down on power consumption and boosting data transmission speeds.
A user can directly terminate into a cloud exchange point and have the same kind of visibility, governance and control in terms of what resources that user can access on the network.” This allows for more fine-grained control over what resources a user can access. The platform provides administrators with detailed dashboards.
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.
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