14 Oct, 2025
    The AI Infrastructure Paradox: When Buying GPUs Is Just the Beginning

    The AI infrastructure market is entering a new phase. Early momentum centered on acquiring compute power—specifically GPU clusters—but enterprises are discovering that ownership alone doesn’t deliver value. The real challenge lies in transforming raw hardware into usable infrastructure that developers

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    9 Oct, 2025
    How CTERA Plans to Fix What’s Breaking Enterprise AI

    At a recent AI Infrastructure Field Day event, CTERA presented its strategy for transforming enterprise data management into what it calls “enterprise intelligence.” The company, known for distributed data management, addressed the fundamental issue plaguing corporate AI initiatives: without quality data infrastructure,

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    8 Oct, 2025
    How Broadcom’s Three-Chip Strategy Tackles AI’s Biggest Networking Bottleneck

    In AI infrastructure, the network has evolved from a supporting role to center stage. As AI clusters demand unprecedented bandwidth and razor-sharp latency, traditional networking approaches are breaking down. Broadcom’s response? Three specialized Ethernet switch chips—each designed to solve specific

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    7 Oct, 2025
    From GPU Gold Rush to Revenue Reality: How Mirantis k0rdent Transforms AI Infrastructure Dreams into Dollars

    At the recent AI Infrastructure Field Day, Mirantis revealed a sobering truth: owning cutting-edge GPUs doesn’t automatically translate to cutting-edge profits. Their new solution, k0rdent, bridges the treacherous gap between million-dollar hardware investments and actual revenue generation—a chasm that has swallowed

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    7 Aug, 2025
    VMware Cracks the Code: VCF 9.0 Delivers Enterprise Security Without Operational Sacrifice

    The enterprise infrastructure landscape is about to experience a fundamental shift. VMware Cloud Foundation (VCF) 9.0 isn’t just another incremental update, it’s a fundamental reimagining of how organizations approach infrastructure cybersecurity, promising to address the age-old trade-off between security and operational continuity.

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    24 Jul, 2025
    AI’s dirty secret: It’s becoming unaffordable for most organizations

    While everyone’s hyping the AI revolution, here’s the uncomfortable reality—training a standard 70B parameter model requires 1.4TB of GPU memory. That means buying 30+ high-end GPUs just to pool enough memory together, costing $500K+ before you even factor in power,

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