⚖️ GPU vs. TPU: The Strategic Divergence of AI Acceleration Architectures in the Post-Gemini 3 Era

AI Unraveled: Latest AI News & Trends, ChatGPT, Gemini, DeepSeek, Gen AI, LLMs, Agents, Ethics, Bias por Etienne Noumen

Notas del episodio

Welcome back to AI Unraveled, your daily strategic briefing on the business impact of AI. Today, we are pausing the daily news feed to conduct a "State of the Silicon Union." The monolithic dominance of NVIDIA is fracturing. With the release of Google's Gemini 3—trained entirely on non-Nvidia hardware—and rumors of Meta purchasing billions in custom silicon, the industry is entering a phase of acute structural divergence. We are analyzing the "Ironwood" TPU architecture against the Blackwell GPU, the friction of the CUDA-to-JAX migration, and the massive FinOps implications of owning assets vs. renting efficiency.

Source: https://www.linkedin.com/pulse/gpu-vs-tpu-strategic-divergence-ai-acceleration-architectures-wz6ic

Strategic Pillars & Key Takeaways:

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