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LLMs vs SLMs: Why Smaller Models Could Power the Future of Agentic AI
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 Future of AI Isn’t in GPUs—It’s in ASICs
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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NVIDIA RTX PRO 6000 Blackwell: The Swiss-Army GPU for Enterprise AI
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)…