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DPUs plug into a server’s PCIe slot just as a GPU would, and they allow servers to offload network and storage functions from the CPU to the data centric computing, allowing the CPU to focus only on running the operating systems and system applications.

DPUs often use a reprogrammable FPGA combined with a network interface card to accelerate network traffic the same way that GPUs are being used to accelerate artificial intelligence (AI) applications by offloading mathematical operations from the CPU to the GPU.

This is so because they can process large amounts of data in parallel making them ideal for accelerating AI workloads, such as machine learning and deep learning, and other artificial intelligence workloads.DPU Accelerated Servers will become extremely popular in the future thanks to their ability to offload network functions from the CPU to the DPU, freeing up precious CPU processing power, allowing the CPU to run more applications, and run the operating system as efficiently as possible without being bogged down by handling network activities.

The DPU in a DPU equipped server would be used to process data and move data around the data center.

Overall, DPUs have a bright future thanks to the ever-increasing amount of data stored in data centers, requiring a solution that can accelerate storage and networking functions performed by high-performance data center servers.

DPUs can breathe new life into existing servers because they can reduce the CPU utilization of servers by offloading network and storage functions to the DPU.

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