Types of Instance

Last updated: 2020-08-07 14:43:40

Tencent Cloud provides the following recommendations for selecting an instance type for diverse customer use cases:

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 an 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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