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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AI clusters live or die by their network. When you stitch together thousands of GPUs, the fabric becomes a first-class accelerator: it must deliver brutal bandwidth, ultra-low tail latency, clean congestion control, and predictable job completion times. For years, InfiniBand (IB) owned that story. Today, “Open Ethernet” fabrics—multi-vendor Ethernet with open software (e.g., SONiC) and […]

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The AI landscape has been dominated by Large Language Models (LLMs)—massive neural networks trained on trillions of tokens, spanning hundreds of billions of parameters. These models, such as GPT-4 or Claude, have shown remarkable general-purpose intelligence, but they come with steep costs: enormous compute requirements, GPU dependency, and operational overheads that make them inaccessible for […]

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