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Cloud Container Instance (CCI)

Why Huawei Cloud CCI?

Run Containers, Not Infrastructure

Deploy and manage containerized applications without having to manage the infrastructure that runs the applications.

Optimize Your Costs

Pay for the resources you use by the second and use millicores to run your applications, which helps reduce your IT costs.

Improve Security

Improve application security through virtual machine isolation and take advantage of fast container startup.

Scale Workloads Quickly

Scale containers in or out within seconds to easily adapt to rapid service changes and ensure service SLA.

Services with Fluctuating Traffic

For fast-changing services such as video, e-commerce, and gaming, you can run workloads on CCE routinely and use CCI to scale out resources to deal with unexpected instantaneous traffic spikes.

Advantages

Fast Scaling

Pods can be scaled within seconds to ensure service stability.

Flexible Billing

Workloads run on CCE routinely and are billed on a yearly/monthly basis. During peak hours, additional workloads can run on CCI on a pay-per-use basis, and resources are released after the traffic spikes, achieving significant cost savings.

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CCE

ELB

Social Media

When traffic soars due to breaking news, CCI quickly scales out resources to prevent interruptions and ensure a smooth user experience.

Advantages

Fast Scaling

Pods can be scaled within seconds to ensure service stability.

Pay per Use

Pods can be started up on demand, and you are only billed for the specifications and how long you use the pods, which reduces IT costs.

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SWR

ELB

Biological Gene

Fields like genomics and drug R&D require high-performance, high-density computing at a low cost for data processing, but they do not want to deal with the O&M.

Advantages

Fast Scaling

Auto scaling within seconds minimizes resource consumption during computing.

O&M-free

You can run containers without having to manage clusters and servers and take care of O&M.

Pay per Use

Pods can be started up on demand, and you are only billed for the specifications and how long you use the pods, which reduces IT costs.

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EVS

OBS

SFS

Most AI training and inference applications run in containers. Such applications are GPU-intensive and require high-performance network and storage. They also need to be able to allocate and release resources fast.

Advantages

Accelerated Computing

Heterogeneous GPUs and Huawei Ascend chips boost serverless compute.

Accelerated Network and Storage

High-performance network and storage improve overall training and inference.

Per-Second Billing

Pods can start up within seconds and are billed by the second.

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EVS

OBS

SFS