#nasuni

#nasuni

With this feature, you can bring entire folders, ML models, dbt adapters, utilities, directly into UDxFs and Stored Procedures without zipping, file-by-file bookkeeping, or manual updates.

What if I told you that everything you know and everything you do to ensure quality backups is no longer viable? In fact, what if I told you that in an era of generative AI, when it comes to backups, we're all pretty much screwed?

"For healthcare, government, and contact center environments, reducing risk at the endpoint is essential. By aligning IGEL's immutable endpoint OS and Adaptive Secure Desktop™ with Windows 365 and Microsoft Azure Virtual Desktop, these reference architectures give organizations clear guidance for delivering secured and resilient digital workspaces."

Neocloud providers, which include the likes of Nscale, CoreWeave and Carbon3.ai, are having a somewhat disruptive impact on the market by making huge commitments to build out hyperscale datacentres in support of the UK government's AI growth agenda. These providers are also taking up capacity in colocation datacentres that some of the hyperscale cloud giants previously committed to renting space in, before pulling out.

Netskope One AI Security is integrated into the Netskope One platform and designed to protect various components of the AI ecosystem. These include AI applications, AI agents, datasets, and users in both public SaaS environments and private or internally hosted AI systems. Workflows in which autonomous AI agents communicate with other systems are also covered by the security.

[EHS] is actually a profit centre in the company," he says. "I know people tend to think it isn't. Compared to some other hats that I've worn, sustainability is usually not a cost centre.

ChatGPT, launched in 2022, began making a significant impact on the market by late 2023, according to Synergy Research Group. The company's chief analyst, John Dinsdale, points out that cloud market leaders have experienced accelerated revenue growth over time. Additionally, the emergence of numerous neocloud companies ( see box: What is a neocloud?) has further strengthened the already positive momentum in the market.

As businesses contend with ever-increasing data volumes and performance-intensive applications such as AI model training, AI inferencing and high-performance computing, they need infrastructure that delivers speed, scalability and efficiency without added complexity.

The single most important aspect most users will appreciate about the Zettlab D4 AI NAS is the ease of setup. I've never experienced a NAS that was this easy to get up and running. Here's the process: Insert your drives into the bays. Plug it in. Connect the included Cat5 networking cable to the NAS and your router. Turn it on. Point your web browser to the IP address shown on the LCD screen. Walk through the simple setup wizard.

A future-proof IT infrastructure is often positioned as a universal solution that can withstand any change. However, such a solution does not exist. Nevertheless, future-proofing is an important concept for IT leaders navigating continuous technological developments and security risks, all while ensuring that daily business operations continue. The challenge is finding a balance between reactive problem solving and proactive planning, because overlooking a change can cost your organization. So, how do you successfully prepare for the future without that one-size-fits-all solution?

This new reality is forcing organizations to undertake careful assessments before making platform decisions for AI. The days when IT leaders could simply sign off on wholesale cloud migrations, confident it was always the most strategic choice, are over. In the age of AI, the optimal approach is usually hybrid. Having openly championed this hybrid path even when it was unpopular, I welcome the growing acceptance of these ideas among decision-makers and industry analysts.

A North American manufacturer spent most of 2024 and early 2025 doing what many innovative enterprises did: aggressively standardizing on the public cloud by using data lakes, analytics, CI/CD, and even a good chunk of ERP integration. The board liked the narrative because it sounded like simplification, and simplification sounded like savings. Then generative AI arrived, not as a lab toy but as a mandate. "Put copilots everywhere," leadership said. "Start with maintenance, then procurement, then the call center, then engineering change orders."

When ChatGPT launched in late 2022, I watched something remarkable happen. Within two months, it hit 100 million users, a growth rate that sent shockwaves through Silicon Valley. Today, it has over 800 million weekly active users. That launch sparked an explosion in AI development that has fundamentally changed how we build and operate the infrastructure powering our digital world.

As we move further into 2026, the "cloud-first" approach has become the global standard. However, this shift has also introduced a paradox: while the cloud makes scaling easier, it makes security more complex. For modern enterprises, staying ahead of sophisticated, AI-driven threats requires a dual-layered strategy. The most successful organizations today are winning by combining the operational excellence of cloud managed IT services with the proactive precision of a high-performance Vulnerability Scanner.

The new version combines lower costs with improved cybersecurity and offers up to 2 petabytes of storage in a 2U rack space. Companies are struggling with explosive data growth, increasing cyber threats, and limited budgets. Dell Technologies is responding to this with PowerStore 4.3, a platform that addresses storage challenges without compromising performance or security. The latest version brings innovations that double storage density and reduce energy costs.

Running a global observability platform means one thing above all: your infrastructure must never go down. When you're responsible for monitoring thousands of customers' applications 24/7, network failures aren't just inconvenient, they're existential threats. At New Relic, hundreds of clusters run on multiple clouds, and regions. These clusters depend on a complex web of network connections: regional transit gateways, inter-regional hubs, and cross-cloud links.

The main advantage of going the Multi-Cloud way is that organizations can "put their eggs in different baskets" and be more versatile in their approach to how they do things. For example, they can mix it up and opt for a cloud-based Platform-as-a-Service (PaaS) solution when it comes to the database, while going the Software-as-a-Service (SaaS) route for their application endeavors.