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How Infrastructure Is Reshaping the U.S.–China AI Race

When you think of the global AI race, what comes to mind? Models, benchmarks, and faster training? Well, those still matter, but the race depends more on infrastructure – think data centers and power grids.  While many countries are investing heavily in this space and are slowly catching up in the AI race, the U.S….

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Why Argonne’s AI-for-Science Partnership Is a Big Step for Research

DOE’s Argonne National Laboratory has teamed up with Fujitsu, RIKEN, and NVIDIA to help bring AI deeper into scientific computing. The goal is simple. Connect AI with high performance computing so researchers can work with simulation and experimental data in the same place, at the same time. AI is often thought of as a downstream…

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Snowflake Positions Energy as Proving Ground for Operational AI

Energy companies in the AI era are dealing with unprecedented volumes of operational data, all while being held back by legacy infrastructure. Many of the operations now depend on analytics including predictive maintenance, grid modernization, and renewal integration. However, these companies still struggle to bring everything together, slowing everyday decisions, complicating coordination across teams. Over…

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The Data Gravity Problem Is Back, and AI Made It Worse

Data gravity never actually disappeared, so it may not be fully accurate to say it’s back. However, it definitely stayed quiet. Traditional data analytics workloads were forgiving enough that this problem was not catastrophic. Dashboards loading slightly slower, or reports running overnight were not a disaster. The system continued to work, even if it was…

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