List of Kingsoft Cloud Container Instance Customers
Beijing, 100085,
China
Since 2010, our global team of researchers has been studying Kingsoft Cloud Container Instance customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Kingsoft Cloud Container Instance for Container Service from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Kingsoft Cloud Container Instance for Container Service include: Kingsoft Office China, a China based Professional Services organisation with 4558 employees and revenues of $711.0 million, Zhihu China, a China based Media organisation with 1887 employees and revenues of $493.0 million, Power Union (Beijing) Tech Co., a China based Professional Services organisation with 13 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Kingsoft Cloud Container Instance, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Kingsoft Office China | Professional Services | 4558 | $711M | China | Kingsoft Cloud | Kingsoft Cloud Container Instance | Container Service | 2018 | n/a |
In 2018, Kingsoft Office China deployed Kingsoft Cloud Container Instance as its Container Service to host core document services and AI model workloads for its global user base. The implementation positioned Kingsoft Cloud Container Instance to provide containerized runtime and orchestration for document processing, inference and model training workloads alongside existing cloud compute and storage assets.
The configuration emphasized container orchestration and workload isolation, with scheduling targeted to Kingsoft Cloud GPU bare metal and cloud hosts to expand AI compute capacity. Kingsoft Cloud Container Instance was used in concert with Kingsoft Cloud object storage for document repositories and model artifact storage, enabling container images and persistent data volumes consistent with Container Service functional patterns.
Operational coverage included production document services and AI/model workloads that support platform, product and AI engineering teams, with a hybrid cloud disaster recovery architecture focused within China. The deployment incorporated cross region replication and failover between Kingsoft Cloud sites to strengthen disaster recovery and resilience for user-facing services.
Governance centered on platform ownership, container lifecycle controls, resource quotas and CI CD driven application delivery to standardize deployments and manage GPU resources. Vendor disclosures emphasize compute and storage consumption rather than explicit product usage, therefore container instance adoption is inferred from Kingsoft Cloud infrastructure usage; the migration increased AI compute capacity and strengthened cross region disaster recovery as reported.
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Power Union (Beijing) Tech Co. | Professional Services | 13 | $1M | China | Kingsoft Cloud | Kingsoft Cloud Container Instance | Container Service | 2019 | n/a |
In 2019 Power Union (Beijing) Tech Co. implemented Kingsoft Cloud Container Instance as a Container Service to host IoT telematics, app back-end, and large-scale data processing workloads in China. The implementation narrative aligns with vendor case materials that reference Ninebot using Kingsoft Cloud container clusters, and module usage of Kingsoft Cloud container products KCE and KCI is inferred from the vendor listing of 容器集群.
The deployment centered on container cluster provisioning and orchestration, leveraging container service capabilities for workload isolation, image management, and autoscaling to handle peak user concurrency. Kingsoft Cloud Container Instance was configured to support application hosting and batch or streaming processing workloads, using standard container orchestration and runtime patterns consistent with a Container Service.
Operational coverage included IoT application hosting and back-end data processing workloads, supporting product engineering and data processing functions. According to the provided materials, the implementation delivered improved scalability for peak user concurrency and provided better elasticity and cost efficiency.
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Zhihu China | Media | 1887 | $493M | China | Kingsoft Cloud | Kingsoft Cloud Container Instance | Container Service | 2019 | n/a |
In 2019, Zhihu China implemented Kingsoft Cloud Container Instance as part of a broader Kingsoft Cloud infrastructure deployment for its internet content platform. The deployment explicitly leveraged Container Service capabilities to support containerized web services and backend workloads across its China operations.
The implementation used Kingsoft Cloud Container Instance, referenced in vendor materials as 容器服务 and 大规模容器集群, to provision large-scale container clusters and on-demand container instances. Functional configuration emphasized cluster orchestration, elastic instance provisioning and CI/CD pipeline hosting consistent with Container Service operational patterns.
Zhihu’s environment combined virtual private networks, container services and physical hosts from Kingsoft Cloud to run high availability web services and to support continuous integration and continuous delivery pipelines. Operational coverage targeted platform engineering, site reliability and developer teams, centralizing container lifecycle management and automated deployment workflows across large clusters.
Governance focused on standardizing cluster provisioning and CI/CD workflows to streamline rollout and operations, with controls around tenancy and network segmentation. The implementation improved elasticity, availability and operational efficiency for the internet content platform as described in vendor and customer materials.
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