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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. billion to develop data centers in Spain. Data is the big-money game right now. Last year it was reported the worlds largest asset manager plans to invest $8.2
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. billion to develop data centers in Spain. million Series C co-led by Omega Funds and TCGX.
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
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.
Cloud computing Average salary: $124,796 Expertise premium: $15,051 (11%) Cloud computing has been a top priority for businesses in recent years, with organizations moving storage and other IT operations to cloud data storage platforms such as AWS.
Individual Channel Partner Awards: Delivering Big on Enterprise Storage Solutions and Customer-Centric Excellence Adriana Andronescu Wed, 04/09/2025 - 08:03 The channel is important to Infinidat, and the partners who are out there every day working hard in the trenches to pursue new customer opportunities are the lifeblood of our channel business.
Its an offshoot of enterprise architecture that comprises the models, policies, rules, and standards that govern the collection, storage, arrangement, integration, and use of data in organizations. It includes data collection, refinement, storage, analysis, and delivery. Cloud storage. Cloud computing.
The rise of platform engineering Over the years, the process of software development has changed a lot. This approach made the development process straightforward initially, but as applications grew in complexity, maintaining and scaling them became increasingly challenging.
The data is spread out across your different storage systems, and you don’t know what is where. Maximizing GPU use is critical for cost-effective AI operations, and the ability to achieve it requires improved storage throughput for both read and write operations. Planned innovations: Disaggregated storage architecture.
Payload , which develops a headless open-source content management system (CMS), today announced that it has raised a $4.7 Unlike most CMS tools, Michigan-based Payload puts its emphasis on developers. Unlike most CMS tools, Michigan-based Payload puts its emphasis on developers. Image Credits: Payload. “To Payload raises $4.7M
In response, traders formed alliances, hired guards and even developed new paths to bypass high-risk areas just as modern enterprises must invest in cybersecurity strategies, encryption and redundancy to protect their valuable data from breaches and cyberattacks. Security was another constant challenge.
In Inspect Mode (Developer Tools), go to the Application tab to see localStorage entries where the light/dark mode is saved. Conclusion: Using Recoil with localStorage is a win-win for both users and developers. For developers, it takes the hassle out of managing state persistence. Thats a wrap for today! But dont go too far.
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.
Containers were developed to address this need. Additionally, the platform provides persistent storage for block and file, object storage, and databases. Code dependencies tether applications to specific environments, and moving to another requires refactoring and rearchitecting, which can take weeks or months.
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.
Spending on compute and storage infrastructure for cloud deployments has surged to unprecedented heights, with 115.3% Seminara noted that while 2024 focused heavily on infrastructure for AI model development, subsequent years will emphasize scaling AI inference capabilities using less dense platforms. billion, according to the report.
Imagine, for example, asking an LLM which Amazon S3 storage buckets or Azure storage accounts contain data that is publicly accessible, then change their access settings? But with MCP, developers can write applications that integrate AI into a variety of other types of workflows.
Cloud computing architecture encompasses everything involved with cloud computing, including front-end platforms, servers, storage, delivery, and networks required to manage cloud storage. These roles will help you gain the right skills, knowledge, and expertise to continue down a cloud-related career path.
This development is due to traditional IT infrastructures being increasingly unable to meet the ever-demanding requirements of AI. This is why Dell Technologies developed the Dell AI Factory with NVIDIA, the industry’s first end-to-end AI enterprise solution.
These narrow approaches also exacerbate data quality issues, as discrepancies in data format, consistency, and storage arise across disconnected teams, reducing the accuracy and reliability of AI outputs. Reliability and security is paramount. Without the necessary guardrails and governance, AI can be harmful.
Cloud market observers point to large AI workloads driving up spending, but also to developers who arent clued-in to the cost of the cloud services they consume. 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.
Even though many device makers are pushing hard for customers to buy AI-enabled products, the market hasn’t yet developed, he adds. The company also plans to increase spending on cybersecurity tools and personnel, he adds, and it will focus more resources on advanced analytics, data management, and storage solutions.
A company developing a new form of cold thermal energy storage already celebrated by a branch of the American Society of Civil Engineers (ASCE) now has access to funding which will allow it to deploy the technology at nearly 200 commercial buildings across California by the end of the decade.
A lack of monitoring might result in idle clusters running longer than necessary, overly broad data queries consuming excessive compute resources, or unexpected storage costs due to unoptimized data retention. Enhancing developer experience could be deemed more important than cost savings.
Software development is a challenging discipline built on millions of parameters, variables, libraries, and more that all must be exactly right. Opinionated programmers, demanding stakeholders, miserly accountants, and meeting-happy managers mix in a political layer that makes a miracle of any software development work happening at all.
This requires greater flexibility in systems to better manage data storage and ensure quality is maintained as data is fed into new AI models. They may implement AI, but the data architecture they currently have is not equipped, or able, to scale with the huge volumes of data that power AI and analytics.
A lack of monitoring might result in idle clusters running longer than necessary, overly broad data queries consuming excessive compute resources, or unexpected storage costs due to unoptimized data retention. Enhancing developer experience could be deemed more important than cost savings.
Understanding this complexity, the FinOps Foundation is developing best practices and frameworks to integrate SaaS into the FinOps architecture. It’s critical to understand the ramifications of true-ups and true-downs as well as other cost measures like storage or API usage because these can unpredictably drive-up SaaS expenses.
Shells make it easier for developers, educators, students, and other professionals to download, store, access, and edit files on any device. Developers. Shells provide developers and coders a platform to write code on any device, anytime, and in any language. per month for 1 processor, 40 GB storage, 2 GB memory, 100 hours.
The new Global Digitalization Index or GDI jointly created with IDC measures the maturity of a country’s ICT industry by factoring in multiple indicators for digital infrastructure, including computing, storage, cloud, and green energy. This research found that a one-US-dollar investment in digital transformation results in an 8.3-US-dollar
The networking, compute, and storage needs not to mention power and cooling are significant, and market pressures require the assembly to happen quickly. New functionality, including AI capabilities, can be developed with cloud-native services while remaining interconnected with existing infrastructure elements.
As the GenAI landscape becomes more competitive, companies are differentiating themselves by developing specialized models tailored to their industry,” Gartner stated. GenAI also allows for new revenue streams by bringing products to market faster while delivering better customer experiences and automating processes.
Also last week, Palo Alto, California-based Hippocratic AI , which develops a safety-focused large language model for healthcare, safety and accuracy, raised a $141 million Series B valuing the company at $1.6 Related reading: The Weeks Biggest Funding Rounds: Data Storage And Lots Of Biotech Illustration: Dom Guzman
On October 29, 2024, GitHub, the leading Copilot-powered developer platform, will launch GitHub Enterprise Cloud with data residency. This will enable enterprises to choose precisely where their data is stored — starting with the EU and expanding globally.
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.
In short, observability costs are spiking because were gathering more signals and more data to describe our increasingly complex systems, and the telemetry data itself has gone from being an operational concern that only a few people care about to being an integral part of the development processsomething everyone has to care about.
Fungible was launched in 2016 by Bertrand Serlet, a former Apple software engineer who sold a cloud storage startup, Upthere, to Western Digital in 2017, alongside Krishna Yarlagadda and Jupiter Networks co-founder Pradeep Sindhu. But its DPU architecture was difficult to develop for, reportedly, which might’ve affected its momentum.
Moving on to other work, the CIO seldom checked in on the project, so IT staff began to develop a perception of him being preoccupied with other matters in some distant ivory tower while they toiled away on a digital rock pile. Efforts like this spirited the first round of digital projects, but now expectations from the business are greater.
Content-based and storage limitations apply. Coming to more Entra ID users over time. 5 Please note: Recall is coming soon through a post-launch Windows Update. Recall is optimized for select languages (English, Chinese (simplified), French, German, Japanese, and Spanish). 6 Cocreator is optimized for English text prompts.
Migration to the cloud, data valorization, and development of e-commerce are areas where rubber sole manufacturer Vibram has transformed its business as it opens up to new markets. It goes beyond to also achieve business objectives that have a longer time horizon than IT development.
This includes the creation of landing zones, defining the VPN, gateway connections, network policies, storage policies, hosting key services within a private subnet and setting up the right IAM policies (resource policies, setting up the organization, deletion policies). The effectiveness of the cloud CoE comes into play in this phase.
UV: The Engineering Secrets Behind Pythons Speed King Python packaging has long been a bottleneck for developers. This architecture leads to the slow performance Python developers know too well, where simple operations like creating a virtual environment or installing packages can take seconds or even minutes for complex projects.
Under the hood, these are stored in various metrics formats: unstructured logs (strings), structured logs, time-series databases, columnar databases , and other proprietary storage systems. is about how you develop your code Observability 1.0 Number three : a critical mass of developers have seen what observability 2.0
Developers want to build multi-step agent workflows without worrying about runaway costs. 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.
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