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ECS Application Scenarios

Updated at: Aug 19, 2019 GMT+08:00


No special requirements on CPUs, memory, disk space, or bandwidth; strong security and reliability; application deployment based on one or only a few ECSs to minimize initial investment and maintenance costs, such as website R&D and testing, and small-scale databases

Use general-computing ECSs, which provide a balance of computing, memory, and network resources. This ECS type is appropriate for medium-load applications and meets the cloud service needs of both enterprises and individuals.


Large amount of memory; capable of processing large volumes of data; fast network and rapid data processing such as precision marketing, E-Commerce, and mobile apps

Use memory-optimized ECSs, which have a large amount of memory and provide ultra-high I/O EVS disks and appropriate bandwidths.

Graphics Rendering

High-quality graphics and video; large amount of memory, capable of processing large volumes of data, and high I/O concurrency; fast network and rapid data processing; high GPU performance, such as graphics rendering and engineering drawing

Use GPU-accelerated ECSs, including G1 ECSs, which are based on NVIDIA Tesla M60 hardware virtualization and provide cost-effective graphics acceleration. These ECSs support DirectX and OpenGL, provide computing with up to 1 GB of GPU memory and 4,096 x 2,160 resolution.

Data Analysis

Capable of processing large volumes of data; high I/O performance and rapid data switching and processing, such as MapReduce and Hadoop

Use disk-intensive ECSs, which are designed for applications requiring sequential read/write on ultra-large datasets in local storage (such as distributed Hadoop computing) as well as large-scale parallel data processing and log processing. Disk-intensive ECSs are based on HDD and a default network bandwidth of 10GE, providing high PPS and low network latency. They also support up to 24 local disks, 48 vCPUs, and 384 GB of memory.

High-Performance Computing

High computing performance and throughput, such as scientific computing, genetic engineering, games and animation, biopharmaceuticals, and storage

Use high-performance computing ECSs to meet the computing, storage, and rendering needs of high-performance infrastructure services and applications that require a large number of parallel computing resources.

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