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The race to power the next generation of AI workloads just reached a new milestone. AMD has begun production of its new 2nm EPYC chip, which is designed to handle the increasing demands of AI applications. This chip is expected to significantly enhance performance and efficiency, making it a game-changer in the AI infrastructure landscape. Meanwhile, NVIDIA is making strides in quantum computing with its latest quantum AI model, which aims to revolutionize how we approach complex problem-solving in AI. Additionally, a $1 billion partnership between Merck and Google Cloud is set to accelerate the integration of AI into enterprise cloud solutions, paving the way for more innovative applications in various industries. As these advancements unfold, the AI infrastructure landscape is poised for rapid transformation, with companies racing to adopt these cutting-edge technologies.
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