Since the launch of large language models (LLMs) in late 2022, the AI boom has been building momentum, and IT infrastructure solutions and services have been evolving to accommodate it. Behind every great AI breakthrough, there’s technology infrastructure: servers, specialized processors, storage systems and networking. As AI adoption increases and enterprises explore how to effectively use it in their businesses, the demand for compute power keeps rising. In addition to growing demand for GPUs, manufacturing bottlenecks, supply chain disruptions and geopolitical issues have impacted the availability and cost of specialized AI hardware. Enterprises thus face the twin challenges of determining…

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