From Nvidia Developer. Interesting Youtube.
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.
For more information, do take a look at What’s a DPU? …And what’s the difference between a DPU, a CPU, and a GPU?
NVIDIA and SoftBank Group Corp. (SBG) today announced a definitive agreement under which NVIDIA will acquire Arm Limited from SBG and the SoftBank Vision Fund (together, “SoftBank”) in a transaction valued at $40 billion. The transaction is expected to be immediately accretive to NVIDIA’s non-GAAP gross margin and non-GAAP earnings per share.
The combination brings together NVIDIA’s leading AI computing platform with Arm’s vast ecosystem to create the premier computing company for the age of artificial intelligence, accelerating innovation while expanding into large, high-growth markets. SoftBank will remain committed to Arm’s long-term success through its ownership stake in NVIDIA, expected to be under 10 percent.
For more information, see NVIDIA to Acquire Arm for $40 Billion, Creating World’s Premier Computing Company for the Age of AI
Date: Wednesday, June 17, 2020
Time: 11:00am – 12:00am SGT
Duration: 1 hour
Universities are undergoing an unprecedented challenge to provide staff to work from home, remote teaching and learning , and still provide high value learning to students and cutting edge tools and services to faculty and researchers. While remote learning is not a new phenomenon, providing quality service at scale is now a requirement, along with a new set of challenges that span user experience, mobility, effective management of a distributed deployment.
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Build the Most Powerful Data Center with GPU Computing Technology and High-speed Interconnect
Date: Thursday, June 11, 2020
Time: 11:00am-12:30pm Singapore Time
Please join NVIDIA as we discuss how to design a well-balanced system that maximizes performance and scalability of various workloads using NVIDIA GPUs and interconnect
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