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This article discusses the use of data processing units (DPUs) in datacenters, particularly for hosting and processing large language models (LLMs) used in AI and machine learning applications. DPUs can offload functions from CPUs and GPUs, freeing up server capacity for AI/ML workload processing and enabling multi-tenant use. The integration of high-performance FPGAs into DPUs can further enhance their capabilities for real-time AI/ML processing, energy efficiency, and latency reduction.