The big question in AI infrastructure Every year, new GPUs and super chips dominate headlines. But behind every GPU cluster sits a crucial decision: which CPU architecture should host it, ARM or x86? ARM has surged in visibility thanks to NVIDIA Grace, AWS Graviton, and AmpereOne. But despite rapid growth, ARM still isn’t the dominant […]

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When ChatGPT arrived in 2017, it redefined what people thought was possible with artificial intelligence. Conversational models that once seemed futuristic suddenly became part of everyday life. But nearly a decade on, a fundamental question remains unanswered: Can AI ever be free from human bias? The reality, after eight years of iteration, scaling, and safety […]

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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 enterprises rapidly adopt AI to improve efficiency, customer experience, and innovation, the choice of model architecture has become a critical factor. Whether it’s deploying a massive Large Language Model (LLM), an efficient Very Large Language Model (VLLM), or a compute-friendly Small Language Model (SLM), organisations are increasingly strategic about balancing performance, cost, and accuracy. […]

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