In the fast-paced world of artificial intelligence, hyperscalers like Google, Microsoft, and Amazon are pushing the boundaries of innovation with cutting-edge large language models and vast GPU clusters. But while these giants grab the spotlight, enterprises are also embarking on their own AI journeys, facing the complex challenge of optimizing their infrastructure for performance and efficiency. This growing demand for AI is reshaping the technology landscape, requiring significant changes in how we build, manage, and scale AI environments.

From the unquenchable thirst for data to the rising concerns over power consumption, the evolution of AI infrastructure is anything but straightforward.

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