As computing has expanded beyond servers and PCs into large, centralized data centers powered by CPUs and GPUs, the DPU has arisen as the third major pillar of computing.
In this blog, you'll learn more about what a DPU is and how it helps to enhance computing power in the modern technological landscape.
Until recently, the CPU and the GPU were the two main components of computing.
The CPU is the "brain" of the computer that performs general computing tasks, whereas the GPU helps the CPU with more complex tasks such as graphics and artificial intelligence.
As the amount of information available on a daily basis increases, however, computing has moved beyond servers and into large, centralized data centers, prompting the need for data to be moved within the center.
That's where DPUs come into play. A DPU (data processing unit) is a new programmable processor that helps move data around these data centers.
In essence, DPUs enable more efficient storage and free up the CPU to focus on processing.
The DPU offloads networking and communication tasks from the CPU. It combines processing cores with hardware accelerator blocks and a high-performance network interface to handle data-centric workloads.
This enables the DPU to make sure the right data goes to the right place in the right format quickly.
According to NVIDIA, DPUs have three primary functions: processing, networking, and acceleration. (They can also be incorporated into SmartNICs.)
A DPU is system on a chip (SoC) that combines three key elements:
As the amount of data at our disposal increases, computing architectures will require assistance in helping manage, move, and analyze this information.
With the help of DPUs, workloads are divided among the processors to enhance communication within data centers, AI, storage, and networking.
By freeing up the CPU, the speed at which data is processed becomes unmatched, avoiding overload and ensuring the delivery of actionable insights in real-time.
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