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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.
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.
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.
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 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.
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
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.
Immersion cooling in the datacenter space gets a lot of positive attention for the formulations that enhance thermal performance, material compatibility, and durability. It reduces hotspots and thermal cycling (temperature fluctuations), which could cause wear on hardware components over time.
There’s a new type of switch that could soon be showing up in AI-optimized datacenters, a PCIe 6 fabric switch. fabric switch GPUs and AI acceleration technologies typically connect to a hardware motherboard via a PCIe (PCI Express) slot connection. Scorpio PCIe 6.0 Read more from this author Ciena and Arelion achieve 1.6
(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.
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.
Unified subscription model eases licensing The new Cisco Networking Subscription is designed to streamline the purchasing and use of Cisco software, hardware, services, and platforms. These licenses include product support for both hardware and software. AI and security aren’t just add-on features—they’re built into every layer.
Traditionally, setting up DNS, DHCP, and IP address management (DDI) meant dealing with a mix of hardware, virtual machines, and manual configuration across multiple environments. Reduce on-premises hardware and virtualization software for critical network services with a cloud-delivered option.
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
Businesses who own backup software (and have the resources to support their own backup infrastructure) have complete authority over their backup operations, including where the data is stored, how often backups are performed, and how data is secured. However, managing backup software can be complex and resource intensive.
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.
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.
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.
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.
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. However, this is often not true.
The challenges of AI on WAN connectivity With the immense hardware and bandwidth requirements of AI, the challenges for AI connectivity across the WAN are numerous. Parantap Lahiri, vice president of network and datacenter engineering at eBay said that his organization is using AI today for a networking monitoring system.
When it comes to protecting data-center-based resources in the highly distributed world, traditional security hardware and software components just aren’t going to cut it.
In estimating the cost of a large-scale VMware migration , Gartner cautions: VMwares server virtualization platform has become the point of integration for its customers across server, storage and network infrastructure in the datacenter. However, switching to HCI is a capital expense decision.
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.
Chinas largest tech giants such as Baidu and Tencent have been working on their own large language models (LLMs) for some time now, andthe unexpected debutof DeepSeek , despite numerous hardware sanctions, surprised even the most powerful AI companies from the West. [
One of the perennial problems of datacenters is monitoring server utilization to ensure right-sizing of resources. Having too few resources can lead to overprovisioning, which can cause downtime as virtual machines become starved for compute, memory, and storage. Charles Hall. One company that makes such tools is Nlyte.
All of the new servers include support for the latest version of HPEs Integrated Lights Out (iLO) management technology, which lets customers diagnose and resolve server issues, configure and manage access, and perform a variety of other automated tasks aimed at improving efficiency, HPE stated.
One of the newer technologies gaining ground in datacenters today is the Data Processing Unit (DPU). As VMware has observed , “In simple terms, a DPU is a programable device with hardware acceleration as well as having an ARM CPU complex capable of processing data.
This offers several benefits, including scalability, flexibility, and reduced hardware costs. ZTNA requires verification of every user and device before granting access to any resource, regardless of location. This is especially important for remote and mobile workers who need seamless access to cloud-based applications.
Cisco is updating its existing learning materials in the datacenter and security certification tracks to incorporate the AI-related information that IT professionals need at different levels of expertise. The training focuses on professionals working on a multi-vendor approach to building AI infrastructure.
A lack of planning In addition, the percentage of CIOs who can’t tell if their AI POCs are successful suggests a lack of strategic planning before the projects are launched , says Michael Stoyanovich, vice president and senior consultant at Segal, a consulting firm focused on human resources and employee benefits.
AMD is essentially acknowledging that, to capture significant market share, chasing Nvidia’s top-tier products may not be worth the resources,” Dylan said. Once we get that, then we can go after the top,” he told the PC hardware publication. My priority right now is to build scale for AMD. Then they say, ‘I’m with you now, Jack.
It can take money and personnel to fix encryption, and not all providers will have the resources or the interest in making it a priority. Investors are buying up datacenters to create a Pony Express quantum signal to go coast-to-coast, he says. On the plus side, theres more than just customer demand forcing them to step up.
Open RAN (O-RAN) O-RAN is a wireless-industry initiative for designing and building 5G radio access networks using software-defined technology and general-purpose, vendor-neutral hardware. Power usage effectiveness (PUE) Power usage effectiveness (PUE) is metric that measures the energy efficiency of a datacenter.
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 key zero trust principle of least-privileged access says a user should be given access only to a specific IT resource the user is authorized to access, at the moment that user needs it, and nothing more. Secure any entity accessing any resource Plenty of people hear zero trust and assume its the same as zero trust network access (ZTNA).
We have invested in the areas of security and private 5G with two recent acquisitions that expand our edge-to-cloud portfolio to meet the needs of organizations as they increasingly migrate from traditional centralized datacenters to distributed “centers of data.” The new service packs will be orderable later in 2023.
The system is part of IBMs vision for quantum-centric supercomputing, combining quantum and classical resources. Quantinuum provided the quantum hardware and Microsoft handled the error correction. The improvements come from both hardware and software advances.
“This feature is useful for distributed applications or scenarios where AI inference needs to be performed on powerful servers while the client device has limited resources.” Intel IPUs are hardware accelerators that offload a number of tasks such as packet processing, traffic shaping, and virtual switching from the server CPU.
Cisco’s Tetration system gathers information from hardware and software sensors and analyzes it using big-data analytics and machine learning to offer IT managers a deeper understanding of their datacenterresources. Don’t miss customer reviews of top remote access tools and see the most powerful IoT companies. |
This method of cloud computing is commonly used by federal agencies who can’t risk their data being in even a slightly unsecured location. Shared Resources. These resources are shared with many users, and the hardware the cloud computing company provides is built on a system that makes the most efficient use of it.
MMA is a feature of Power10-based servers that handles matrix multiplication operations in hardware, rather than relying solely on software routines. The company added a Power Virtual Server Private Cloud features that lets customers better control and manage Power resources locally or in a hybrid cloud environment, according to IBM.
The move toward software defined networks (SDN) in the datacenter is no longer a question of “if” or “when,” but “how.” The good news is that datacenter networks will receive more attention and product development than other technologies (such as WANs and LANs). PATRICK HUBBARD. SolarWinds.
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