Use Case | Recommended Instance Type | Description |
Personal website | Standard instance | Suitable for general workloads, such as small and medium Web applications and databases. |
Enterprise websites/E-commerce/App | Standard instance | Suitable for general workloads, such as small and medium Web applications and databases. |
Relational database/distributed cache | MEM optimized instance | Suitable for use cases that require extensive memory operations, searches, and computing. |
NoSQL database | High IO instance | Suitable for I/O-intensive use cases that require high disk read/write performance and low latency, such as TencentDB for MongoDB and clustered databases. |
High performance computing | Computing instance Computing network enhanced instance | Suitable for use cases that require a large number of computing resources, such as large PC games, high performance science and engineering applications, and video encoding/decoding. |
High performance PC games | Computing instance Computing network enhanced instance | Suitable for use cases that require a large number of computing resources, such as large PC games, high performance science and engineering applications, and video encoding/decoding. |
Mobile/browser games | Computing instance Computing network enhanced instance | Suitable for use cases that require a large number of computing resources, such as large PC games, high performance science and engineering applications, and video encoding/decoding. |
Live streaming | Standard network enhanced instance Computing network enhanced instance | Comes with a 25 GB ENI that is 2.5 times faster than that of regular ten-gigabit data centers, providing increased bandwidth and reduced latency. |
Finance | CDH standard instance | Features exclusive physical servers and isolated resources. The CDH standard instances are secure, controllable, and fully compliant with the strict regulations in the finance industry. Custom specifications are also supported. |
Scientific computing | GPU computing instance | Suitable for use cases that require deep learning, and scientific computing including computational fluid dynamics, computational finance, genomics research, environmental analysis, high-performance computing, and other server-side GPU computing workloads. |
Machine learning | GPU computing instance | Suitable for use cases that require deep learning, and scientific computing including computational fluid dynamics, computational finance, genomics research, environmental analysis, high-performance computing, and other server-side GPU computing workloads. |
Rendering | GPU rendering instance | Suitable for non-linear editing, video encoding/decoding, graphics acceleration visualization, and 3D design. |
Hadoop/Spark/Elastic Search | Big data instance | Suitable for distributed computing services like Hadoop (HDFS/MapReduce/Spark/Hive), massive parallel processing (MPP) data warehouses, B8 logs, and data processing applications. |
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