ECS Application Scenarios
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.
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.
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 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.