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Building data centers isn't civil engineering anymore; it’s high-stakes product assembly where a disconnected software tool can create a $500M blind spot.
A Málaga hotel’s elegant architecture illustrates that data centers are modern palaces: Essential, structured infrastructure behaving as stable, long-term bonds.
AI turns power and cooling into one big puzzle, but using a digital twin makes it easy to solve, check and manage everything without the usual guesswork.
If your data center still needs humans at 2 a.m., it’s obsolete; the agentic era demands five pillars of fully autonomous control.
A practical guide for decisions on architecture, performance and physical infrastructure.
Why GreenOps is the next critical metric for AI architecture.
The companies want to ground AI models in science and engineering to grow industrial know-how.
Data security and cost control have IT leaders rethinking AI in the public cloud. But prepping a local data center for AI can be expensive and involved, with more infrastructure needed than a couple of GPUs.
Agentic AI, post-quantum cryptography, AI governance, and hybrid computing are among the most pressing and potentially disruptive trends that enterprises are facing, Gartner reports.
With power consumption projected to skyrocket, the companies have launched an enhanced modular data center that recovers heat generated in its operations for reuse elsewhere.
While nobody yet knows how to stop the exponential growth in AI's power consumption, some IT leaders have found ways to mitigate its impact on sustainability initiatives.
Smaller models, better chips and renewable power help. So does only using AI when you need to.
Avnet’s Design Hub serves as a one-stop shop for product design and engineering, as well as a comprehensive portal to speed up product design processes.
Your customer data shouldn’t have to move to make an impact.
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