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
If you wish to check the running process at GPU, it is quite easy.
watch -n 1 nvidia-smi
Look at the Processes at the bottom. You have which GPU is holding running what and the corresponding PID and Process Name. Quite useful
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.
Solutions that enable remote learning and research, such as NVIDIA virtual GPU (vGPU) technology, enable you to meet these new requirements across various workloads with cost-effective solutions for existing on-premise infrastructure assets and in the cloud.
By attending this webinar, you’ll learn:
How NVIDIA vGPU technology solutions enable remote work and learning
How vGPU solutions are helping universities, across both education and research
How to get started with vGPU and vComputeServer to accelerate VDI and computational workloads in your institution
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