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Nvidia's planned US$20 billion strategic deal with Groq is built on a simple logic: as compute gets cheaper, demand keeps expanding. In a recent interview, Groq co-founder and CEO Jonathan Ross explained why Nvidia is expected to combine Groq's LPU with its latest Vera Rubin platform and how GPU and LPU can work as complementary engines in LLM inference.

Large language models (LLMs) are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to generate actionable trading insights. These advanced AI systems can process financial news, social media sentiment, earnings reports, and market data to predict stock price movements and automate investment strategies with unprecedented accurac