An interesting blog to explain what is the difference a DPU, CPU, and GPU?
So What Makes a DPU Different?
A DPU is a new class of programmable processor that combines three key elements. A DPU is a system on a chip, or SOC, that combines: 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 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
A rich set of flexible and programmable acceleration engines that offload and improve applications performance for AI and Machine Learning, security, telecommunications, and storage, among others.
Mellanox HPC-X is a comprehensive software package that includes MPI and SHMEM communication libraries. HPC-X includes various acceleration packages to improve both the performance and scalability of applications running on top of these libraries, including UCX (Unified Communication X) and MXM (Mellanox Messaging), which accelerate the underlying send/receive (or put/get) messages. It also includes FCA (Fabric Collectives Accelerations), which accelerates the underlying collective operations used by the MPI/PGAS languages.
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Speakers will provide an overview of the state-of-the-art NVIDIA GPU accelerated compute architecture and In-Network computing fabric and how they come together with one goal: to deliver a solution that democratizes supercomputing power, making it readily accessible, installable, and manageable in a modern business setting. To learn more about this webinar click here