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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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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Not to be confused with RTX 6000 Ada (48 GB) or the older RTX A6000 (Ampere), the RTX PRO 6000 Blackwell is NVIDIA’s 96 GB, fifth-gen Tensor Core workhorse designed for both workstations and data-center “RTX PRO Servers.” It’s a very different animal. Why this card matters Blackwell introduces 5th-gen Tensor Cores with FP4 (4-bit) […]

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