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* ID :  [https://www.wikidata.org/wiki/Q241317 Q241317]

2020년 12월 26일 (토) 05:26 판

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  1. Our goal is to increase the throughput of the PC production line by over 40 percent using the NVIDIA EGX platform for real-time intelligent decision-making at the edge.[1]
  2. The NVIDIA EGX platform dramatically accelerates inference at the edge, allowing us to see subtle defects that human operators haven’t been able to see in the past.[1]
  3. Today, Spark AR is the largest augmented reality platform for the phone.[2]
  4. To cope with these challenges, in this article we report our process of building an AIOps solution for predicting node failures for an ultra-large-scale cloud computing platform at Alibaba.[3]
  5. MobiusTrend, a market research organization in Hong Kong, recently released a research report on 'VR and AR Becoming the Next-Gen Computing Platform, a Huge Opportunity for WIMI Hologram'.[4]
  6. The Neuromorphic Computing Platform allows neuroscientists and engineers to perform experiments with configurable neuromorphic computing systems.[5]
  7. The resulting system dynamically allocates resources within a cloud computing platform.[6]
  8. A model of the system has been implemented and tested on a real cloud platform with successful results.[6]
  9. To break free from that constraint, we’ll redesign the entire platform end-to-end, not just one component like the programming language, so as to break free from backward-compatibility.[7]
  10. Neither will we worry about backward-compatibility, whether with existing software, hardware or networks, or even with older versions of our own platform.[7]
  11. This makes our platform suitable for only some users, a minority who put security at the top of the list when asked what they want.[7]
  12. It won’t be a mass-market platform.[7]
  13. The research is about to design an aggressive Grid computing platform by utilizing a large number of pervasive PCs as a Grid component.[8]
  14. A digital integration hub is an advanced platform architecture that aggregates multiple back-end systems and databases into a low-latency and shared data store.[9]
  15. In order to process task stream, a distributed computing platform was put forward.[10]
  16. The hardware of the platform includes one control terminal, multi computing nodes, one storage array and one fiber optic switch.[10]
  17. The software of the platform includes DBMS, control software and tasks.[10]
  18. The platform is applicable to the science computing that is characterized by a task stream composed of multi tasks, such as remote sensing data processing and complex electromagnetism analysis.[10]
  19. In fact, the open-source platform Kubernetes helps developers automate much of the management of container applications.[11]
  20. A computer platform is a system that consists of a hardware device and an operating system that an application, program or process runs upon.[12]
  21. An example of a computer platform is a desktop computer with Microsoft Windows installed on it.[12]
  22. The hardware portion of a computer platform consists of a processor, memory, and storage.[12]
  23. Some architectures have multiple layers, with each layer acting as a platform to the one above it.[13]
  24. A computing platform is a well defined set of hardware or software that allows application programs to run.[14]
  25. In cloud computing, Platform as a Service, or PaaS, is defined as the capability of the service providers to offer computing platforms to the users.[15]
  26. A platform is a toolset which is used to build, modify, maintain and monitor services and products used in the cyber world.[16]
  27. The hardware platform is essential for most of the products that are available in the digital world as hardware is the backend machine that handles all.[16]
  28. The CNCF landscape shows the different components that make up a cloud platform, as well as the companies in each category.[17]

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