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
But in conflict with CEO fears, 90% of IT leaders are confident their IT infrastructure is best in class. Still, IT leaders have their own concerns: Only 39% feel their IT infrastructure is ready to manage future risks and disruptive forces. In tech, every tool, software, or system eventually becomes outdated,” he adds.
Spending on compute and storageinfrastructure for cloud deployments has surged to unprecedented heights, with 115.3% billion, highlighting the dominance of cloud infrastructure over non-cloud systems as enterprises accelerate their investments in AI and high-performance computing (HPC) projects, IDC said in a report.
But for many, simply providing the necessary infrastructure for these projects is the first challenge but it does not have to be. Another problem is that the adoption of automation in infrastructure is not at the level required. Already, leading organizations are seeing significant benefits from the use of AI.
Private equity giant Blackstone Group is making a $300 million strategic investment into DDN , valuing the Chatsworth, California-based data storage company at $5 billion. Blackstone also is a backer of CoreWeave , an AI infrastructure startup that gives access to highly sought-after AI chips from Nvidia.
The next phase of this transformation requires an intelligent data infrastructure that can bring AI closer to enterprise data. The data is spread out across your different storage systems, and you don’t know what is where. Scalable data infrastructure As AI models become more complex, their computational requirements increase.
When running a Docker container on ECS Fargate, persistent storage is often a necessity. When working with cloud infrastructure, it’s always worth exploring built-in features before resorting to custom implementations. While this worked, it introduced unnecessary complexity.
For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably high.
DDN , $300M, data storage: 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 data storage company at $5 billion. However, as usual, a company with AI ties is on top.
In today’s IT landscape, organizations are confronted with the daunting task of managing complex and isolated multicloud infrastructures while being mindful of budget constraints and the need for rapid deployment—all against a backdrop of economic uncertainty and skills shortages.
As organizations adopt a cloud-first infrastructure strategy, they must weigh a number of factors to determine whether or not a workload belongs in the cloud. By optimizing energy consumption, companies can significantly reduce the cost of their infrastructure. Sustainable infrastructure is no longer optional–it’s essential.
This development is due to traditional IT infrastructures being increasingly unable to meet the ever-demanding requirements of AI. This is done through its broad portfolio of AI-optimized infrastructure, products, and services. Behind the Dell AI Factory How does the Dell AI Factory support businesses’ growing AI ambitions?
The world must reshape its technology infrastructure to ensure artificial intelligence makes good on its potential as a transformative moment in digital innovation. New technologies, such as generative AI, need huge amounts of processing power that will put electricity grids under tremendous stress and raise sustainability questions.
growth this year, with data center spending increasing by nearly 35% in 2024 in anticipation of generative AI infrastructure needs. This spending on AI infrastructure may be confusing to investors, who won’t see a direct line to increased sales because much of the hyperscaler AI investment will focus on internal uses, he says.
Few CIOs would have imagined how radically their infrastructures would change over the last 10 years — and the speed of change is only accelerating. Additionally, the platform provides persistent storage for block and file, object storage, and databases.
Today, data sovereignty laws and compliance requirements force organizations to keep certain datasets within national borders, leading to localized cloud storage and computing solutions just as trade hubs adapted to regulatory and logistical barriers centuries ago.
Infinidat Recognizes GSI and Tech Alliance Partners for Extending the Value of Infinidats Enterprise Storage Solutions Adriana Andronescu Thu, 04/17/2025 - 08:14 Infinidat works together with an impressive array of GSI and Tech Alliance Partners the biggest names in the tech industry.
CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient. Artificial intelligence (AI) is reshaping our world.
There are major considerations as IT leaders develop their AI strategies and evaluate the landscape of their infrastructure. This blog examines: What is considered legacy IT infrastructure? How to integrate new AI equipment with existing infrastructure. Evaluating data center design and legacy infrastructure.
As a result, many IT leaders face a choice: build new infrastructure to create and support AI-powered systems from scratch or find ways to deploy AI while leveraging their current infrastructure investments. Infrastructure challenges in the AI era Its difficult to build the level of infrastructure on-premises that AI requires.
This includes describing in straightforward language the infrastructure — network, storage, processing, and so on — that supports the project, and why infrastructure investments are needed. Once as CIO, I had my CEO ask me about the infrastructure elements for a digital project in a somewhat roundabout way.
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), data centers, and energy.
Orsini notes that it has never been more important for enterprises to modernize, protect, and manage their IT infrastructure. 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.
On the Tech Disruptors podcast, Ramaswami outlined how Nutanix is meeting the rising demand for simplified IT infrastructure and positioning itself as the easiest alternative for VMware customers seeking to reduce risk or dependence. This is prompting the CIO shift to hybrid and multicloud.
In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. As organizations increasingly migrate to the cloud, however, CIOs face the daunting challenge of navigating a complex and rapidly evolving cloud ecosystem.
Businesses can onboard these platforms quickly, connect to their existing data sources, and start analyzing data without needing a highly technical team or extensive infrastructure investments. This means no more paying for unused capacity or worrying about outgrowing a fixed-size infrastructure. The result?
Businesses can onboard these platforms quickly, connect to their existing data sources, and start analyzing data without needing a highly technical team or extensive infrastructure investments. This means no more paying for unused capacity or worrying about outgrowing a fixed-size infrastructure. The result?
FinOps, which was first created to maximise the use of Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) models, is currently broadening its scope to include Software as a Service (SaaS). With more and more businesses moving to the Cloud, FinOps is becoming a vital framework for efficiently controlling Cloud expenses.
Digital workspaces encompass a variety of devices and infrastructure, including virtual desktop infrastructure (VDI), data centers, edge technology, and workstations. Help your apps and budget perform Give your creative apps a boost by consolidating your graphics workstations alongside existing cloud storage and renderfarms.
In the old days, maybe you have a new feature that you rolled out, and it requires more compute infrastructure, Seller says. optimize its cloud infrastructure. For example, sometimes a company will need cloud storage with super-low latency to run critical apps, but in other cases, it may be able to use high-latency cold storage.
Private cloud investment is increasing due to gen AI, costs, sovereignty issues, and performance requirements, but public cloud investment is also increasing because of more adoption, generative AI services, lower infrastructure footprint, access to new infrastructure, and so on, Woo says. Hidden costs of public cloud For St.
Yet, as transformative as GenAI can be, unlocking its full potential requires more than enthusiasm—it demands a strong foundation in data management, infrastructure flexibility, and governance. The Right Foundation Having trustworthy, governed data starts with modern, effective data management and storage practices.
.” “Fungible’s technologies help enable high-performance, scalable, disaggregated, scaled-out data center infrastructure with reliability and security,” Girish Bablani, the CVP of Microsoft’s Azure Core division, wrote in a blog post.
Pulumi is a modern Infrastructure as Code (IaC) tool that allows you to define, deploy, and manage cloud infrastructure using general-purpose programming languages. Pulumi SDK Provides Python libraries to define and manage infrastructure. Backend State Management Stores infrastructure state in Pulumi Cloud, AWS S3, or locally.
Instead of overhauling entire systems, insurers can assess their API infrastructure to ensure efficient data flow, identify critical data types, and define clear schemas for structured and unstructured data. From an implementation standpoint, choose a cloud-based distillery that integrates with your existing cloud infrastructure.
Google has helped us navigate the VMware licensing changes every step of the way, said Everett Chesley, Director of IT Infrastructure at Granite Telecommunications. VCF is a comprehensive platform that integrates VMwares compute, storage, and network virtualization capabilities with its management and application infrastructure capabilities.
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. Broadcoms infrastructure software revenue grew 41% to $5.8
Data strategies in the balance In addition to a data visibility gap between levels of IT management, quality problems often come from piecemeal IT infrastructure, with many companies using multiple IT vendors products to achieve desired functionality, says Anant Agarwal, co-founder and CTO at Aidora, developer of AI-powered HR software.
On the Chain Reaction podcast this week, Lux Capital’s newest investor, Grace Isford, joined us to talk about the opaque but crucial world of web3 infrastructure. Alchemy and Infura are the only two major node service providers in the industry, meaning that most of crypto is reliant on two infrastructure providers to manage their data.
Nearly every IT leader today is in the midst of moving the next generation of AI apps from the design phase into deployment, and they are finding that they must grapple with the problems that arise when those apps are dependent on legacy data or infrastructure. Each case of legacy dependence must be evaluated separately.
The rise of the cloud continues Global enterprise spend on cloud infrastructure and storage products for cloud deployments grew nearly 40% year-over-year in Q1 of 2024 to $33 billion, according to IDC estimates.
In the first quarter of 2021, corporate cloud services infrastructure investment increased to $41.8 The desire to better manage cloud costs has spawned a cottage industry of vendors selling services that putatively reign in companies’ infrastructure spending. Spending on the cloud shows no signs of slowing down.
Jim Liddle, chief innovation officer for AI and data strategy at hybrid-cloud storage company Nasuni, questions the likelihood of large hyperscalers offering management services for all agents. This opens the door for a new crop of startups, including AgentOps and OneReach.ai. Today, each AI agent is being built and operated in a bespoke way.
Despite 95% of data center customers and operators having concerns about environmental consequences, just 3% make the environment a top priority in purchasing decisions, according to a new survey by storage vendor Seagate.
You can access your imported custom models on-demand and without the need to manage underlying infrastructure. You can import these models from Amazon Simple Storage Service (Amazon S3) or an Amazon SageMaker AI model repo, and deploy them in a fully managed and serverless environment through Amazon Bedrock. for the month.
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