Others claim to have DPUs but make the mistake of focusing solely on the embedded CPU to perform data path processing. DPUs can be used as a stand-alone embedded processor, but they’re more often incorporated into a SmartNIC, a network interface controller used as a key component in a next-generation server.įor example, some vendors use proprietary processors that don’t benefit from the broad Arm CPU ecosystem’s rich development and application infrastructure. Other devices that claim to be DPUs miss significant elements of these three critical capabilities. But it’s more often incorporated into a SmartNIC, a network interface controller used as a critical component in a next-generation server. The DPU can be used as a stand-alone embedded processor. A rich set of flexible and programmable acceleration engines that offload and improve applications performance for AI and machine learning, zero-trust security, telecommunications and storage, among others.Īll these DPU capabilities are critical to enable an isolated, bare-metal, cloud-native computing platform that will define the next generation of cloud-scale computing. A high-performance network interface capable of parsing, processing and efficiently transferring data at line rate, or the speed of the rest of the network, to GPUs and CPUs.An industry-standard, high-performance, software-programmable, multi-core CPU, typically based on the widely used Arm architecture, tightly coupled to the other SoC components.A DPU is a system on a chip, or SoC, that combines: Industry-standard, high-performance, software-programmable multi-core CPUįlexible and programmable acceleration enginesĬPU v GPU v DPU: What Makes a DPU Different?Ī DPU is a new class of programmable processor that combines three key elements. “The CPU is for general-purpose computing, the GPU is for accelerated computing, and the DPU, which moves data around the data center, does data processing.” What's a DPU? System on a chip that combines: “This is going to represent one of the three major pillars of computing going forward,” NVIDIA CEO Jensen Huang said during a talk earlier this month. The DPU has become the third member of the data-centric accelerated computing model. These data centers are knit together with a powerful new category of processors. Over the past decade, however, computing has broken out of the boxy confines of PCs and servers - with CPUs and GPUs powering sprawling new hyperscale data centers. Thanks to these capabilities, GPUs are essential to artificial intelligence, deep learning and big data analytics applications. Originally used to deliver rich, real-time graphics, their parallel processing capabilities make them ideal for accelerated computing tasks of all kinds. More recently the GPU, or graphics processing unit, has taken a central role. Flexible and responsive, for many years CPUs were the sole programmable element in most computers. Of course, you’re probably already familiar with the central processing unit. However, if you always choose rightward as positive, then an object that is slowing down could have a positive acceleration-specifically, if it is moving to the left and slowing down.Specialists in moving data in data centers, DPUs, or data processing units, are a new class of programmable processor and will join CPUs and GPUs as one of the three pillars of computing. If you always choose the current direction of motion as positive, then an object that is slowing down will always have a negative acceleration. Note: Alternatively we could have taken the initial direction of the eagle's motion to the left as positive, in which case the initial velocity would have been 34 m s 34\dfrac 1 0 s m plus, 10, start fraction, start text, m, end text, divided by, start text, s, end text, end fraction.
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