cloudcomputing
By David Linthicum Guess what? 95% of IT decision-makers say their team has been negatively impacted by the cloud skills gap. If that’s not bad enough news, by 2030, more than 85 million roles could remain vacant because there aren’t enough skilled people to fill them. Of course, these are not new figures. We’ve been hemorrhaging skills for the past 15 years, and the advent of cloud computing—and now the resurgence of AI—has made things worse, thanks to several factors: Just give up?Although this is a challenge for many IT organizations, it’s not unsolvable. The trick is to begin planning well...
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By Paul Krill Cloud software company Nutanix has announced the Nutanix AI Partner Program, intended to unite AI solutions and services partners to support customers wanting to run generative AI applications atop the Nutanix Cloud Platform and the company’s GPT-in-a-Box platform. Unveiled May 21, the Nutanix AI Partner Program provides customers with simplified access to an expanded ecosystem of AI partners to offer “real world” generative AI solutions. Partners will help organizations build and secure third-party and homegrown generative AI applications on top of Nutanix Cloud Platform and the...
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By Simon Bisson It wan’t hard to spot the driving them of Build 2024. From the pre-event launch of Copilot+ PCs to the two big keynotes from Satya Nadella and Scott Guthrie, it was all AI. Even Azure CTO Mark Russinovich’s annual tour of Azure hardware innovations focused on support for AI. For the first few years after Nadella became CEO, he spoke many times about what he called “the intelligent cloud and the intelligent edge,” mixing the power of big data, machine learning, and edge-based processing. It was an industrial view of the cloud-native world, but it set the tone for Microsoft’s app...
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By Jeff Wittich The vast majority of company leaders (98%) recognize the strategic importance of AI, with nearly 65% planning increased investments. Global AI spending is expected to reach $300 billion by 2026. Also by 2026, AI’s electricity usage could increase tenfold, according to the International Energy Agency. Clearly, AI presents businesses with a dual challenge: maximizing AI’s capabilities while minimizing its environmental impact. In the United States alone, power consumption by data centers is expected to double by 2030, reaching 35GW (gigawatts), primarily due to the growing demand...
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By David Linthicum Historically, large language models (LLMs) have required substantial computational resources. This means development and deployment are confined mainly to powerful centralized systems, such as public cloud providers. However, although many people believe that we need massive amounts of GPUs bound to vast amounts of storage to run generative AI, in truth, there are methods to use a tier or partitioned architecture to drive value for specific business use cases. Somehow, it’s in the generative AI zeitgeist thatedge computing won’t work. This is given the processing requirement...
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By David Linthicum The tech industry is buzzing with talk of cloud repatriation, partly due to some articles I have written here. What frustrates me about this industry is the lack of nuance. People make everything seem like drastic shifts. The last example of this was edge computing. Many articles I read claimed that “the shift is to the edge.” That caused a lot of confusion. Reporters, clients, and students all reached out to ask if the cloud was dead since edge computing now seemed like the way to go. Of course, that never came true, nor does any extreme shift that the analyst and tech pres...
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By Simon Bisson Microsoft has been polishing up its AI-powered Copilot in Azure for months now, and finally decided it’s ready for everyone to use. A public preview of Copilot in Azure will roll out relatively quickly, over a couple of weeks. If you’re not able to access Copilot in Azure immediately, rest assured you should see it in your Azure Portal soon, where it can help you manage, secure, and tune your Azure cloud infrastructure. I talked with Erin Chapple, Microsoft CVP, Azure Core Product and Design, about the new service and where it’s likely to go in the future. Like Microsoft’s othe...
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By Paul Krill Microsoft’s .NET Aspire, an opinionated, cloud-ready stack for building distributed applications, is now generally available. The .NET Aspire stack was announced on May 21. Intended to simplify cloud-native development, the Aspire stack unites tools, templates, and NuGet packages to build observable, production-ready applications in .NET more easily, the company said. Developers can get started with .NET Aspire now in Visual Studio 2022 17.10, the .NET CLI, or the Visual Studio Code editor. The stack had been in preview since last November. .NET Aspire is part of an ongoing goal ...
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By Simon Bisson Microsoft has been polishing up its AI-powered Copilot for Azure for months now, and finally decided it’s ready for everyone to use. A public preview of Copilot for Azure will roll out relatively quickly, over a couple of weeks. If you’re not able to access Copilot for Azure immediately, rest assured you should see it in your Azure Portal soon, where it can help you manage, secure, and tune your Azure cloud infrastructure. I talked with Erin Chapple, Microsoft CVP, Azure Core Product and Design, about the new service and where it’s likely to go in the future. Like Microsoft’s o...
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By Anirban Ghoshal Microsoft today at its annual Build conference introduced several updates to Azure AI, the company’s cloud-based platform for building and running AI applications. Azure AI competes with similar offerings from rival cloud providers such as AWS, Google, and IBM. The updates include the addition of new governance features, new large language models (LLMs), and Azure AI Search enhancements. Microsoft also announced that it is making Azure AI Studio generally available. Azure AI Studio, a generative AI application development toolkit that competes with the likes of Amazon Bedroc...
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