Nutanix: A Rising Star in the New AI Infrastructure Landscape

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HealthcareInformationalInfrastructureSecurityTechnology

As the enterprise infrastructure landscape shifts rapidly to support the demands of AI, Nutanix is emerging as a strong contender in the race to power next-generation workloads. With roots in hyper-converged infrastructure (HCI) and a fast-evolving platform strategy, Nutanix is increasingly being recognized not just as an infrastructure alternative, but as an AI enabler. From […]

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VMware Cloud Foundation vs. Red Hat OpenShift AI: Which Platform is Right for Your AI Workloads?

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InfrastructureTechnology

As AI workloads become increasingly central to business innovation, organizations are turning to modern infrastructure platforms that can scale AI training and inference reliably, securely, and efficiently. Two leading options in this space—VMware Cloud Foundation and Red Hat OpenShift AI—offer enterprise-grade solutions, but with very different philosophies and strengths. In this blog, we’ll explore the […]

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Are We Heading into Another Energy Crisis — This Time for AI?

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InfrastructureSocietyTechnology

In recent years, the crypto “energy crisis” sparked global alarm. Bitcoin mining alone consumed roughly 0.4% of global electricity, and crypto‑mining + data centers already made up about 2% of world demand in 2022 [1]. But now, AI workloads—particularly generative and large‑language‑model (LLM) operations—are poised to make an even bigger dent in our energy systems […]

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Is RAG Still Relevant in a Post-LLaMA 4 World?

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InfrastructureTechnology

Not long ago, I wrote about why Retrieval-Augmented Generation (RAG) is such a pivotal architecture in modern AI workflows, particularly when compared to fine-tuning and training from scratch. The core argument was simple: RAG enables models to stay up-to-date, grounded, and efficient without massive retraining costs. It was (and still is) a pragmatic solution to […]

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