The Future of AI Isn’t in GPUs—It’s in ASICs

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The AI revolution has long been powered by GPUs, especially Nvidia’s. But that era is evolving. On September 5, 2025, Broadcom confirmed a $10 billion deal to develop custom AI chips for OpenAI—chips designed specifically for AI workloads and expected to roll out in 2026. This marks a pivotal shift toward ASICs (Application-Specific Integrated Circuits). […]

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The Decline of TensorFlow and the Rise of PyTorch in AI Workloads: A Documented Shift

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TensorFlow, formerly the preeminent deep learning framework created by Google, has been eclipsed in recent years by PyTorch, developed by Facebook AI Research. Previously the unequivocal choice for researchers and corporations, TensorFlow has experienced a slow decrease as PyTorch has emerged as the favoured framework for AI workloads. This transition is seen not only in […]

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Unraveling Transformer Neural Networks: The Engines Powering Advanced AI

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Transformers. A phrase typically associated with innovative language models like OpenAI’s GPT-series or Google’s BERT, which you may have heard of if you keep up with the latest developments in machine learning and artificial intelligence. But what exactly are Transformer models, and how did they come to play such a significant role in contemporary AI? […]

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