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Glossary

Selecting an Instance Type

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Last updated: 2024-01-06 18:00:25
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 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.
For more use cases, see Instance Types.

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