Shulou(Shulou.com)06/01 Report--

Red Hat and NVIDIA jointly promote the load example analysis, I believe that many inexperienced people do not know what to do, so this article summarizes the causes of the problem and solutions, through this article I hope you can solve this problem.

Red Hat (NYSE: RHT), a leading global provider of open source solutions, has announced a partnership with NVIDIA to bring a new round of open innovation to enterprise data centers around the world, focusing on emerging workloads such as artificial intelligence (AI), deep learning and data science. This work is driven by the certification of Red Hat Enterprise Linux, the world's leading enterprise Linux platform, on the NVIDIA ®DGX-1 ™system. This certification lays the foundation for the Red Hat portfolio, including Red Hat OpenShift, which can be deployed and federated on NVIDIA's AI supercomputer.

For enterprises that want to gain competitive advantage and market differentiation through digital transformation, artificial intelligence is usually regarded as a supporting technology. Ovum, a research company, highlighted the industry's growing interest in artificial intelligence, with the survey showing: "the proportion of enterprises actively paying attention to artificial intelligence initiatives (that is, planning, testing or deployment) has increased from 62 per cent last year to 77 per cent this year [2018]."

As NVIDIA DGX-1 systems enter the data center to provide a powerful AI platform, the IT team wants to manage and maintain these systems in existing operational processes, which are usually based on Red Hat Enterprise Linux. Using Red Hat Enterprise Linux on NVIDIA DGX-1 hardware not only provides a familiar control plane and secure SELinux user environment, enabling IT teams to integrate these into existing workflows, but also serves as a catalyst for further innovation and deep learning in AI.

Now, companies in areas such as the public sector, oil and gas, and financial services are able to integrate NVIDIA architecture more effectively into existing infrastructure environments, where Red Hat Enterprise Linux acts as a common "bridge". In order to make the enterprise environment more flexible, current Red Hat Enterprise Linux enterprise users will be able to use existing subscriptions on the NVIDIA DGX-1 system, which is supported by Red Hat Enterprise Linux and NVIDIA. In addition, organizations that use Red Hat Enterprise Linux on NVIDIA DGX-1 systems will have the industry's most comprehensive enterprise Kubernetes product line in Red Hat OpenShift as the foundation, extending cloud native support to emerging workloads.

ISV can migrate existing Red Hat Enterprise Linux certified applications to NVIDIA's new system, making it easier to access advanced AI and deep learning features with little change, and support more smart workloads.

In the field of high-performance computing, Red Hat and NVIDIA both provide technology and expertise to support the world's two fastest supercomputers, the Summit and Sierra. As one of the many industry leaders, Red Hat helped bring these two systems online, providing a model not only for the next generation of high-performance computing (HPC) in performance-sensitive environments, but also for future enterprise data centers.

After reading the above, have you mastered the method of Red Hat and NVIDIA jointly promoting the example analysis of the load? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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