Announcements| 07 Jul 2025

Simply NUC and Carahsoft Partner to Bring Cutting-Edge Small Form Factor Servers to the Public Sector

ROUND ROCK, Texas, and RESTON, Va. – July 7, 2025 – Simply NUC, The Trusted Partner for Custom Computing Solutions, and Carahsoft Technology Corp., The Trusted…

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AI & Machine Learning| 07 Jul 2025

Supporting edge AI systems: How technical do you need to be?

Edge AI systems sit at the intersection of local data processing and real-time decision-making. They drive everything from on-site power grid monitoring and military sensor platforms…

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AI & Machine Learning| 05 Jul 2025

Myth-Busting: AI Always Requires Huge Data Centers

When most people picture AI in action, they imagine endless racks of servers, blinking lights, and the hum of cooling systems in a remote data center.…

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hardware and software requirements for edge AI

AI & Machine Learning| 03 Jul 2025

What hardware and software requirements are needed for edge AI deployments?

Edge AI is changing the way industries work. By bringing artificial intelligence closer to where data is generated, whether that’s on a factory floor, in a…

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AI & Machine Learning| 03 Jul 2025

What is the ROI of implementing edge AI solutions, and how do we measure success?

Thanks to edge computing, artificial intelligence is working right where data is being created; on devices at the edge of your network. This means faster decisions,…

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AI & Machine Learning| 30 Jun 2025

Expected lifecycle of edge AI hardware, and how do we manage upgrades?

Edge AI hardware powers the decision-making that happens right where data is created. It turns raw information from sensors, cameras, and machines into real-time insights, helping…

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Simply NUC and Carahsoft Partner to Bring Cutting-Edge Small Form Factor Servers to the Public Sector

Supporting edge AI systems: How technical do you need to be?

Myth-Busting: AI Always Requires Huge Data Centers

What hardware and software requirements are needed for edge AI deployments?

What is the ROI of implementing edge AI solutions, and how do we measure success?

Expected lifecycle of edge AI hardware, and how do we manage upgrades?

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