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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
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 developdatacenters 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? There are major considerations as IT leaders develop their AI strategies and evaluate the landscape of their infrastructure.
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.
Part of the problem is that data-intensive workloads require substantial resources, and that adding the necessary compute and storage infrastructure is often expensive. That’s why Uri Beitler launched Pliops , a startup developing what he calls “data processors” for enterprise and cloud datacenters.
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
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. Containers were developed to address this need.
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. But its DPU architecture was difficult to develop for, reportedly, which might’ve affected its momentum.
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.
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. It had previously raised around half a million dollars via a token sale to help fund early development. We’ve kind of democratized storage.”
This development is due to traditional IT infrastructures being increasingly unable to meet the ever-demanding requirements of AI. 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.
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.
especially given it’s $20B valuation, but a Slovenian startup thinks the web security giant has missed a trick in the market, as developers become more ignored in favor of large corporate clients. Founder and developer Pelzel, says he built a CDN for himself and realized others might also be interested in it, hence the startup.
(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
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.
billion in the Middle East kingdom to build datacenters and a significant cloud presence in the region. AWS also will provide additional cloud-computing training for Saudi Arabian students, developers, and technical and nontechnical professionals of all genders through various offerings.
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.
million developers using the cloud-native tools — an increase of 67% from the year prior. 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.
. > allowfullscreen> When it comes to looking at new workloads and applications, be it AI or modern cloud-workloads, hyper-converged infrastructure, with embedded all-flash storage arrays, provides organizations with a process to rapidly deliver on the application demands of the business.
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.
Sovereign AI refers to a national or regional effort to develop and control artificial intelligence (AI) systems, independent of the large non-EU foreign private tech platforms that currently dominate the field. This is essential for strategic autonomy or reliance on potentially biased or insecure AI models developed elsewhere.
The 10/10-rated Log4Shell flaw in Log4j, an open source logging software that’s found practically everywhere, from online games to enterprise software and cloud datacenters, claimed numerous victims from Adobe and Cloudflare to Twitter and Minecraft due to its ubiquitous presence. Image Credits: AppMap.
When the value of big data was finally embraced, thanks to new analysis capabilities developed in the late nineties and early aughts, the industry adapted its mindset toward storage by investing in on-premises datacenters to help store the data that would drive better business decisions. When […].
Speaking to TechCrunch via email, co-founder and CEO Naveen Verma said that the proceeds will be put toward hardware and software development as well as supporting new customer engagements. Flash memory and most magnetic storage devices, including hard disks and floppy disks, are examples of non-volatile memory.
Equally, if not more important, is the need for enhanced datastorage and management to handle new applications. These applications require faster parallel processing of data in diverse formats. In his keynote speech, he noted, “We believe that datastorage will undergo major changes as digital transformation gathers pace.
With rich resources like a growing physical infrastructure and subsea cable network, Africa is uniquely positioned to emerge as a leader among todays developing economies. For datacenter capacity to spread to more regions of Africa, there will need to be a major effort to create structure for overland routes.
With the cloud being an inevitable part of enterprise digital transformation journeys, IT leaders must keep on top of the latest developments in the cloud market to better predict downstream impacts on their roadmaps. Here is a closer look at recent and forecasted developments in the cloud market that CIOs should be aware of.
In 2023, Helion announced a power purchase agreement with Microsoft to deliver electricity from its fusion plant starting in 2028, and a customer agreement with Nucor to develop a power plant in the 2030s. tied) DDN , $300M, datastorage: Data is the big-money game right now. billion to developdatacenters in Spain.
Jeff Ready asserts that his company, Scale Computing , can help enterprises that aren’t sure where to start with edge computing via storage architecture and disaster recovery technologies. Early on, Scale focused on selling servers loaded with custom storage software targeting small- and medium-sized businesses.
No wonder enterprises find it difficult to decipher cloud myths from the facts, especially as it relates to enterprise software development and business application development. All Clouds are Connected with Data for Anyone, Anywhere to See False. Security Is Lacking Compared to an On-Premise DataCenter False.
It’s an idea we’re proud to support, as it aligns with our own DataCenter of the Future initiative. We believe investing in sustainable datacenter technologies isn’t just the right thing to do for the future of our planet; it can also be a key source of business value for our customers today.
Aiming to overcome some of the blockers to success in IT, Lucas Roh co-founded MetalSoft , a startup that provides “ bare metal ” automation software for managing on-premises datacenters and multi-vendor equipment. Hostway developed software to power cloud service provider hardware, which went into production in 2014. .
It also plans to expand its datacenter footprint globally to at least 10 new regions in 2022 to improve latency, launching for the first time in both APAC and EMEA. Some of its notable customers include publicly-traded Anker , online developer community Indie Hackers , and Web3 platform NEAR. .
AMD is acquiring server maker ZT Systems to strengthen its datacenter technology as it steps up its challenge to Nvidia in the competitive AI chip market. In July, the company agreed to acquire Silo AI, bringing an AI model developer into its fold.
For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, datastorage, network bandwidth, electrical power, and air conditioning. In storage, the curve is similar, with growth from 5.7% of AI storage in 2022 to 30.5% Do you have the datacenter and data science skill sets?”
A number of vendors — both startups and well-established players — are actively developing and selling access to AI inferencing chips. It is also set to allow large-scale users such as ‘hyperscalers’ and next-wave datacenter customers to support their growing scale of AI usage.”
After being in cloud and leveraging it better, we are able to manage compute and storage better ourselves,” said the CIO, who notes that vendors are not cutting costs on licenses or capacity but are offering more guidance and tools. He went with cloud provider Wasabi for those storage needs. “We
To answer this question let’s assume a scenario: Ram is a freelancer and develops Computer Games. So once a client wants a game to be developed which should run on All of the operating Systems (i.e. So I am going to select the Windows Server 2016 DataCenter to create a Windows Virtual Machine.
Developers find that a training job now takes many hours or even days, and in the case of some language models, it could take many weeks. With AI development, companies need fast ROI, by ensuring data scientists are working on the right things. You’re paying a lot of money for data-science talent,” Paikeday says.
While direct liquid cooling (DLC) is being deployed in datacenters today more than ever before, would you be surprised to learn that we’ve been deploying it in our datacenter designs at Digital Realty since 2015? The power density requirements for AI and HPC can be 5-10 times higher than other datacenter use cases.
The savings are just too big to ignore for a ton of companies,” says David Heinemeier Hansson, the Danish developer of Ruby on Rails and co-owner and CTO of 37signals, which completed a six-month total exit from the cloud last June. “‘Cloud exit’ became a big theme in 2023 and there’s good odds it’ll turn into a real trend for 2024.
The challenges of managing data, the lifeblood of any enterprise, are continuously evolving and require attention because ignoring them only makes the “pain points” worse. The continuous attempts at comprehensive theft and hostage-taking of valuable corporate data can be overwhelming. . Otherwise, what is its value? 1 concern of CEOs.
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