The Private Cloud Data Center Solution

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Scenario Analysis

Solutions

Application Scenarios

Client Cases

The Value of Solution

Scenario Analysis

The InCloud OS private cloud solution can provide industrial cloud services for vertical industries, and provide resource services for tenants, as well as unify the operation and O&M tasks. It can also provide intensive management and control services for large enterprises and provide digital infrastructure for the development of test clouds, as well as provide the convergence service of Cloud, Big Data and AI for scientific research platforms. Currently, the InCloud OS has been widely used in various scenarios including government affairs, enterprises, and scientific research institutions, etc.

Solutions

The InCloud OS is employed to build a full-stack convergence solution of Cloud, Big Data and AI, which represents a converged service platform covering IaaS services, PaaS services, big data services, and AI services, thus meeting the demand for fast resource scheduling; meanwhile, a cloud security converged platform is built based on the concept of “platform + ecology”.

The deep integration of cloud computing, big data and AI resource pools is completed to provide a unified directory of the Cloud, Big Data and AI, thus enabling the servitization of resources; and the centralized management of resources and the deep integration of O&M and operation can be achieved effectively.

The InCloud OS provides standard API interface to match the multi-level organizational structure of clients, and get through data at all levels, so that realize the collection, storage, calculation, and AI training self-loop in the data cloud.

Application Scenarios

Client Cases

The Cloud, Big Data and AI Converged Cloud Project Implemented by the Central China Normal University

This is the first time China has implemented deep integration of cloud computing, big data and AI technologies and applications in education, and it is also an attempt to unify platform deployment and management to provide an open platform infrastructure for technical exploration and business practices.

The Cloud, Big Data and AI Converged Cloud Project Implemented by the State Grid Jibei Electric Power Co., Ltd.

This project aims at creating a digital new energy infrastructure with the characteristics of “Interconnection and Awareness”, “Data Integration” and “Intelligence Analysis” based on integrating the Internet concept, building a unified and shared Internet of Things management platform to meet the full scenario and full category needs of power transmission, power transformation, power distribution and power consumption.

The Value of Solution

●Streamlining Management: This solution is capable of performing centralized and unified management of infrastructure resources and providing applications with computing, network, storage, security and other diversified resources. In addition, it enables the rapid deployment of resources required by business systems with the ability to dynamically scale and configure on-demand.

●Full-stack Capability of Cloud, Big Data and AI: In addition to providing basic IaaS services, this solution is capable of adding innovative services such as AI and big data to the service directory, while the cloud platform achieves full-stack coverage of cloud, big data and AI in terms of functionality.

●Efficient O&M and Operation: This solution presents the users with an integrated service directory of Cloud, Big Data and AI, effectively performing resource intensive management and enabling the combination of O&M and operations in a multi-dimensional perspective.