According to IDC, servers and storage deployed in edge locations will grow at a compound annual growth rate of 16.8% through 2027. By 2027, 25% of all servers shipped will be located at the edge.
The continued shift to the edge indicates that the tech C-suite is thinking differently about where to deploy digital infrastructure.
Edge infrastructure has expanded in the past few years from supporting remote office and back-office applications to supporting digital-first business and operations.
Across all industries, organizations have recognized the need for a decentralized computing model to shift more and more AI and analytics within the latency-tolerant proximity of data sources.
Download the report to learn more
Provided by HPE | Intel
-
Box reveals new AI capabilities at BoxWorks 2025News Extract and Automate will help businesses make better use of their data, the cloud company claims
-
Large enterprises could be wavering on AI adoptionNews AI adoption rates have dipped, but it's probably nothing to worry about for IT leaders
-
Businesses are being taken for fools with AI agentsOpinion AI agents are still not very good at their 'jobs', or at least pretty terrible at producing returns on investment – yet businesses are still buying into the hype.
-
Google boasts that a single Gemini prompt uses roughly the same energy as a basic search – but that’s not painting the full pictureNews Google might claim that a single Gemini AI prompt consumes the same amount of energy as a basic search, but it's failing to paint the full picture on AI's environmental impact.
-
Mistral AI wants businesses to make new memories with Le ChatNews The company hopes new functionality and Connection Partners will broaden business appeal
-
Salesforce CEO Marc Benioff says the company has cut 4,000 customer support staff for AI agents so farNews The jury may still be out on whether generative AI is going to cause widespread job losses, but the impact of the technology is already being felt at Salesforce.
-
This Stanford study shows AI is starting to take jobs – and those identified as highest risk are eerily similar to a recent Microsoft studyNews AI may already be impacting early-career jobs, particularly roles featuring tasks that can be automated like software developers or customer service, according to Stanford researchers.
-
Jensen Huang says 'the AI race is on' as Nvidia shrugs off market bubble concernsNews The Nvidia chief exec appears upbeat on the future of the AI market despite recent concerns
