Website application
There are no special requirements for CPU, memory, hard disk space and bandwidth, but high requirements for security and reliability. Generally, services only need to be deployed on one or a small number of servers, with low investment costs at one time and low maintenance costs later. For example, website development and test environment, small database application. It is recommended to use a general Taiwan ECS, which mainly provides balanced computing, memory and network resources. It is suitable for application scenarios with moderate business load pressure, and meets the requirements of enterprises or individuals for moving to the cloud for general business.
Enterprise E-commerce
A scenario that requires high memory requirements, large amount of data, large amount of data access, and fast data exchange and processing. For example, advertising precision marketing, e-commerce, mobile apps. It is recommended to use memory optimized Taiwan ECS, which mainly provides high memory instances, and can configure cloud disk with ultra-high IO and appropriate bandwidth.
Graphic Rendering
High requirements for image and video quality, large memory, large amount of data processing, and I/O concurrency. It can complete fast data processing and exchange and a large number of GPU computing power scenarios. Such as graphic rendering and engineering drawing. It is recommended to use GPU graphics accelerated Taiwan ECS. The G1 Taiwan ECS is based on NVIDIA Tesla M60 hardware virtualization technology to provide more economical graphics acceleration capability. It can support DirectX and OpenGL, and can provide a maximum of 1GiB video memory with a resolution of 4096 × 2160.
Data analysis
Processing large data requires high I/O capability and fast data exchange processing capability. For example, MapReduce and Hadoop are computationally intensive. It is recommended to use disk enhanced Taiwan ECS, which is mainly applicable to workloads requiring high-performance sequential read/write access to large datasets on local storage, such as Hadoop distributed computing, large-scale parallel data processing and log processing applications. The main data storage is HDD based storage instance. The default configuration is up to 10GE network capability, providing high PPS performance and low network latency. It can support up to 24 local disks, 48 vCPUs and 384GiB memory.
High performance computing
High computing power and throughput scenarios. For example, scientific computing, genetic engineering, game animation, biopharmaceutical computing and storage systems. It is recommended to use high-performance computing Taiwan ECS, which is mainly used for applications with high-performance processors limited by computing. It is suitable for scenarios that require massive parallel computing resources, high-performance infrastructure services, high-performance computing and massive storage, and have certain guarantees for rendering efficiency.
