This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
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.
Supermicro announced the launch of a new storage system optimized for AI workloads using multiple Nvidia BlueField-3 data processing units (DPU) combined with an all-flash array. These units support 400Gb Ethernet or InfiniBand networking and provide hardware acceleration for demanding storage and networking workloads.
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.
(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.
Growing demand for AI workloads and high-power computing capabilities is putting pressure on the datacenter market. Datacenter construction is hitting record highs, while vacancies are dropping to record lows, according to data from CBRE Group. and Canada. and Canada. Here are some of the highlights.
Hewlett Packard Enterprise has announced a pair of changes to its GreenLake Alletra MP block storage services, with a new program for on-premises users as well as support for Amazon Web Services. Now, HPE has added the Timeless Program for GreenLake Alletra MP block storage users with non-disruptive controller upgrades.
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. HCI vendors include Nutanix , Scale, Microsoft Azure Stack and others.
A bid by Google Ireland to build a third datacenter at Grange Castle Business Park in south Dublin has been rejected by local politicians, in part due to what was described as “the lack of significant on-site renewable energy” to power the proposed facility.
Enterprise datastorage skills are in demand, and that means storage certifications can be more valuable to organizations looking for people with those qualifications. No longer are storage skills a niche specialty, Smith says. Both vendor-specific and general storage certifications are valuable, Smith says.
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.
IBM has broadened its support of Nvidia technology and added new features that are aimed at helping enterprises increase their AI production and storage capabilities. This type of interoperability is increasingly essential as organizations adopt agentic AI and other advanced applications that require AI model integration, IBM stated.
BlueField data processing units (DPUs) are designed to offload and accelerate networking traffic and specific tasks from the CPU like security and storage. Another piece of the puzzle is Nvidias DataCenter Infrastructure-on-a-Chip (DOCA) architecture, a software framework designed to enable and accelerate workloads on BlueField DPUs.
PEAK:AIO, maker of a dedicated AI storage infrastructure server software, has released a new version of its AI Data Server, with emphasis on performance, density, and sustainability. PEAK:AIO is a software defined storage platform designed running on Dell Technologies PowerEdge R7525 2U server with up to 24x NVMe drives.
At the other end of the speed spectrum, the Ethernet Alliance also produced the first Single Pair Ethernet plugfest to advance seamless interoperability for products and services designed for 10BASE-T1L applications. Efforts are already underway to focus on compliance, performance enhancements, storage, and management solutions.
The rapid expansion of AI and generative AI (GenAI) workloads could see 40% of datacenters constrained by power shortages by 2027, according to Gartner. An AI hyperscale datacenter can consume as much as 100 MW of power.
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
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 companies rolled out the Cisco Secure AI Factory with Nvidia, which brings together Cisco security and networking technology, Nvidia DPUs, and storage options from Pure Storage, Hitachi, Vantara, NetApp, and VAST Data. Hypershield uses AI to dynamically refine security policies based on application identity and behavior.
Backup software is a traditional approach to data protection, requiring businesses to purchase and manage their own backup solutions. This software is installed on-premises and is responsible for copying data from servers, databases, and other devices to a storage system to safeguard it against loss or corruption.
To keep up, IT must be able to rapidly design and deliver application architectures that not only meet the business needs of the company but also meet data recovery and compliance mandates. It’s a tall order, because as technologies, business needs, and applications change, so must the environments where they are deployed.
These applications require AI-optimized servers, storage, and networking and all the components need to be configured so that they work well together. For example, Cisco and Nvidia just expanded their partnership to bolster AI in the datacenter. Its a brand-new skill set. Other companies are also getting in on the act.
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 datastorage demands of AI technologies.
Rather than cobbling together separate components like a hypervisor, storage and networking, VergeOS integrates all of these functions into a single codebase. A 2024 report from DataCenter Intelligence Group (DCIG) identified VergeOS as one of the top 5 alternatives to VMware. VergeFabric is one of those integrated elements.
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.,
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.
Security gets a boost with secret store container storage interface (CSI) One of the more challenging aspects of cloud-native Kubernetes deployments is managing secrets.Secret are passwords and access credentials for services, and they should not be exposed or hard coded into applications. In particular, OpenShift 4.18
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
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.
This includes everything from devices to datacenters and cloud, as well as an open ecosystem of technology partners to create AI applications through a traditional purchase or as a subscription to Dell Apex, its collection of multi-cloud services. “AI AI is transforming business at an unprecedented rate.
This approach enhances the agility of cloud computing across private and public locations—and gives organizations greater control over their applications and data. Adopting the same software-defined storage across multiple locations creates a universal storage layer.
Historically, datacenter virtualization pioneer VMware was seen as a technology leader, but recent business changes have stirred consternation since its acquisition by Broadcom in late 2023. This is prompting the CIO shift to hybrid and multicloud. Nearly half indicated that implementing hybrid IT is a top priority for their CIO.
A digital workspace is a secured, flexible technology framework that centralizes company assets (apps, data, desktops) for real-time remote access. Digital workspaces encompass a variety of devices and infrastructure, including virtual desktop infrastructure (VDI), datacenters, edge technology, and workstations.
This includes acquisition of new software licenses and/or cloud expenses, hardware purchases (compute, storage), early termination costs related to the existing virtual environment, application testing/quality assurance and test equipment, the report reads.
In fact, quantum computing will force organizations to delete the majority of personal data rather than risk exposure, the research firm says. Adversaries that can afford storage costs can vacuum up encrypted communications or data sets right now. Another potential blind spot is SaaS applications, she says.
AI networking AI networking refers to the application of artificial intelligence (AI) technologies to network management and optimization. It involves using AI algorithms and machine learning techniques to analyze network data, identify patterns and make intelligent decisions to improve network performance, security and efficiency.
VMware is continuing its effort to remake the datacenter, cloud and edge to handle the distributed workloads and applications of the future. To read this article in full, please click here
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.
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.”
This enables use cases such as near real-time disaster recovery over photonics-based links in industries like banking and finance, vehicle-to-vehicle communication in an autonomous vehicle scenario, and real-time edge-to-datacenter connections for robotics applications in factories, or at remote sites in mining or oil and gas industries.
In addition to Dell Technologies’ compute, storage, client device, software, and service capabilities, NVIDIA’s advanced AI infrastructure and software suite can help organizations bolster their AI-powered use cases, with these powered by a high-speed networking fabric.
They are intently aware that they no longer have an IT staff that is large enough to manage an increasingly complex compute, networking, and storage environment that includes on-premises, private, and public clouds. These ensure that organizations match the right workloads and applications with the right cloud.
Thats also a sign of how hungry AWS thinks the market is for access to datacenters, processors, networking gear, and other hardware for AI and generative AI workloads, according to the CEO. And AWS isnt the only cloud service provider that is ramping up its investments into AI-enabled datacenters.
From a DataCenter Infrastructure Management (DCIM) standpoint, there were a lot of observations I picked up on that are worth sharing. Too frequently I&O says, “I got that application back online in 20 minutes”. DataCenters are increasingly complex. Rather, they expect you to get them back online.
T he modern datacenter is a complex environment with many different systems and many different objectives. The datacenter exists to provide an organization with the networking, storage, processing and connectivity features needed to operate in the fast paced, data-driven world we live in today.
We organize all of the trending information in your field so you don't have to. Join 83,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content