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NVIDIA’s New Chips Promise 35x Cost Reduction as AI Coding Tools Capture 50% of Search Interest

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NVIDIA new chips to cut costs by 35x as coding tools grab half of AI related searches

NVIDIA’s latest GB300 NVL72 systems deliver unparalleled efficiency, handling 50 times more work per megawatt than the older Hopper platform. This leads to a staggering 35-fold reduction in processing costs. Signal65’s tests on the GB200 NVL72 revealed over ten times the information processed per watt, reducing costs by 90%. Rapid advancements, including the TensorRT-LLM library, have boosted the GB200’s performance fivefold in just four months. With AI tools, which now dominate 50% of AI-related searches, businesses urgently need systems that can process data instantly and retain context. The AI agent market is projected to grow from $4.92 billion in 2024 to $44.97 billion by 2035, driven by early adopters in banking and healthcare. Despite soaring demand for AI talent—94% of leaders report skill shortages—most professionals are self-learning. Consequently, businesses increasingly prefer purchasing effective AI solutions over developing in-house ones, solidifying a market dominated by tech giants.

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