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
A huge majority of datacenter customers and operators worry about the environmental impact of their IT decisions, but only a tiny number put their money where their mouths are. And while 92% see the importance of extending the lifecycle of their storage equipment, only 16% consider it a major purchasing factor.
Data is the big-money game right now. Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based datastorage company at $5 billion. Big money Of course this is far from the only play the Blackstone Group has made in the data sector.
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.
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.,
DDN , $300M, datastorage: Data is the big-money game right now. Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based datastorage company at $5 billion. billion to develop datacenters in Spain.
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.
Analyzing data generated within the enterprise — for example, sales and purchasing data — can lead to insights that improve operations. But some organizations are struggling to process, store and use their vast amounts of data efficiently. ” Pliops isn’t the first to market with a processor for data analytics.
In December, reports suggested that Microsoft had acquired Fungible, a startup fabricating a type of datacenter hardware known as a data processing unit (DPU), for around $190 million. ” The Fungible team will join Microsoft’s datacenter infrastructure engineering teams, Bablani said. .
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. At 11:11, we offer real data on what it will take to migrate to our platform and achieve multi- and hybrid cloud success. “At
LyteLoop’s new funding will provide it with enough runway to achieve its next major milestone: putting three prototype satellites equipped with its novel datastorage technology into orbit within the next three years. Security, for instance, gets a big boost from LyteLoop’s storage paradigm.
Data needs to be stored somewhere. However, datastorage costs keep growing, and the data people keep producing and consuming can’t keep up with the available storage. According to Internet DataCenter (IDC) , global data is projected to increase to 175 zettabytes in 2025, up from 33 zettabytes in 2018.
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.
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.
Mabrucco first explained that AI will put exponentially higher demands on networks to move large data sets. Chief Marketing Officer, recently engaged in an extensive discussion on exactly how photonics technology could help meet the power demands of AI. How does it work?
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.”
As enterprises begin to deploy and use AI, many realize they’ll need access to massive computing power and fast networking capabilities, but storage needs may be overlooked. In that case, Duos needs super-fast storage that works alongside its AI computing units. “If If you have a broken wheel, you want to know right now,” he says. “We
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.
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. Moving applications between datacenter, edge, and cloud environments is no simple task.
Two at the forefront are David Friend and Jeff Flowers, who co-founded Wasabi, a cloud startup offering services competitive with Amazon’s Simple Storage Service (S3). Wasabi, which doesn’t charge fees for egress or API requests, claims its storage fees work out to one-fifth of the cost of Amazon S3’s.
Datacenters with servers attached to solid-state drives (SSDs) can suffer from an imbalance of storage and compute. Either there’s not enough processing power to go around, or physical storage limits get in the way of data transfers, Lightbits Labs CEO Eran Kirzner explains to TechCrunch.
Increasing the pace of AI adoption If the headlines around the new wave of AI adoption point to a burgeoning trend, it’s that accelerating AI adoption will allow businesses to reap the full benefits of their data. Credit: Dell Technologies Fuel the AI factory with data : The success of any AI initiative begins with the quality of data.
This approach enhances the agility of cloud computing across private and public locations—and gives organizations greater control over their applications and data. Public and private cloud infrastructure is often fundamentally incompatible, isolating islands of data and applications, increasing workload friction, and decreasing IT agility.
Valencia-based startup Internxt has been quietly working on an ambitious plan to make decentralized cloud storage massively accessible to anyone with an Internet connection. We’ve kind of democratized storage.” “We leverage and use the space provided by professionals and individuals.
billion in the Middle East kingdom to build datacenters and a significant cloud presence in the region. Amazon Web Services (AWS) is the latest high-tech giant to announce a major stake in Saudi Arabia’s burgeoning technology industry, unveiling a plan this week to invest more than $5.3
We've already racked the replacement from Pure Storage in our two primary datacenters. It's a gorgeous rack full of blazing-fast NVMe storage modules. It takes a while to transfer that much data, though. million for the Pure Storage hardware, and a bit less than a million over five years for warranty and support.
Enterprises today require the robust networks and infrastructure required to effectively manage and protect an ever-increasing volume of data. Industry-leading SLAs also guarantee that applications and the data within and used by them – the very lifeblood of the enterprise – is always accessible and protected.
AI has the ability to ingest and decipher the complexities of data at unprecedented speeds that humans just cannot match. Data, long forgotten, is now gaining importance rapidly as organizations begin to understand its value to their AI aspirations, and security has to keep pace.
(tied) Crusoe Energy Systems , $500M, energy: Back in 2022, the Denver-based company was helping power Bitcoin mining by harnessing natural gas that is typically burned during oil extraction and putting it toward powering the datacenters needed for mining — raising a $350 million Series C equity round led by G2 Venture Partners , at $1.75
As the technology subsists on data, customer trust and their confidential information are at stake—and enterprises cannot afford to overlook its pitfalls. Yet, it is the quality of the data that will determine how efficient and valuable GenAI initiatives will be for organizations.
Data volumes continue to grow, making it increasingly difficult to deal with the explosive growth. Huawei predicts that by 2030, the total data generated worldwide will exceed one YB, equivalent to 2 80 bytes or a quadrillion gigabytes. These applications require faster parallel processing of data in diverse formats.
It has become much more feasible to run high-performance data platforms directly inside Kubernetes. The problem is that data lasts a long time and takes a long time to move. The life cycle of data is very different than the life cycle of applications. That doesn’t work out well if you have a lot of state in a few containers.
Being on the forefront of enterprise storage in the Fortune 500 market, Infinidat has broad visibility across the market trends that are driving changes CIOs cannot ignore. Trend #1: Critical nature of data and cyber resilience in the face of increasing cyberattacks. This is a multi-faceted trend to keep front and center.
Digitization has transformed traditional companies into data-centric operations with core business applications and systems requiring 100% availability and zero downtime. One company that needs to keep data on a tight leash is Petco, which is a market leader in pet care and wellness products. Infinidat rose to the challenge.
Cloud-based workloads can burst as needed, because IT can easily add more compute and storage capacity on-demand to handle spikes in usage, such as during tax season for an accounting firm or on Black Friday for an e-commerce site. Retain workloads in the datacenter, and leverage the cloud to manage bursts when more capacity is needed.
There are two main considerations associated with the fundamentals of sovereign AI: 1) Control of the algorithms and the data on the basis of which the AI is trained and developed; and 2) the sovereignty of the infrastructure on which the AI resides and operates. high-performance computing GPU), datacenters, and energy.
In the enterprise, there’s been an explosive growth of data — think documents, videos, audio files, posts on social media and even emails. According to a Matillion and IDG survey, data volumes are growing by 63% per month in some organizations — and data’s coming from an increasing number of places.
On the IaaS offerings front, the price hikes will be applied to bare metal servers, virtual server instances, file and block storage, and networking infrastructure for both classic and virtual private cloud ( VPC ) offerings, the company said.
For datacenter capacity to spread to more regions of Africa, there will need to be a major effort to create structure for overland routes. 2 The data regulations landscape on the continent remains fluid, but its also a top priority within established data economies in Africa.
VMwares virtualization suite before the Broadcom acquisition included not only the vSphere cloud-based server virtualization platform, but also administration tools and several other options, including software-defined storage, disaster recovery, and network security.
Customers don’t have to share information with Kubecost, but instead the technology takes the open source information and brings it into the customer’s environment and integrates with its cloud or on-premise datacenter. Kubernetes is at the heart of the modern enterprise tech stack.
More organizations are coming to the harsh realization that their networks are not up to the task in the new era of data-intensive AI workloads that require not only high performance and low latency networks but also significantly greater compute, storage, and data protection resources, says Sieracki.
IT leader and former CIO Stanley Mwangi Chege has heard executives complain for years about cloud deployments, citing rapidly escalating costs and data privacy challenges as top reasons for their frustrations. They, too, were motivated by data privacy issues, cost considerations, compliance concerns, and latency issues.
We organize all of the trending information in your field so you don't have to. Join 49,000+ 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