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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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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One of the most frequent questions I’m asked by customers embarking on AI projects—whether it’s training deep learning models, running inference workloads at the edge, or scaling machine learning in a hybrid environment—is: “How easy is it to deploy the tools?” The answer often surprises them. While NVIDIA has been the dominant player in AI […]

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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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