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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The rise of large language models (LLMs) has driven significant demand for efficient inference and fine-tuning frameworks. One such framework, vLLM, is optimised for high-performance serving with PagedAttention, allowing for memory-efficient execution across diverse hardware architectures. With the introduction of new AI accelerators such as Gaudi3, H200, and MI300X, optimising fine-tuning parameters is essential to […]

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