Container Performance
Container Performance
You can efficiently use Credits by adjusting the performance of the container based on your needs and usage purposes.
The number of Credits deducted during container usage varies depending on the performance, storage, traffic, and the advanced feature usage.
Access Restriction: Creating or running NVIDIA Tesla T4 GPU containers and XLarge containers is available exclusively to Membership users.
Micro
0.5 vCPU, 1GB Memory
1.96
$0.0392
Small
1 vCPU, 4GB Memory
6.80
$0.1360
Medium
2 vCPU, 8GB Memory
13.60
$0.2720
Large
4 vCPU, 16GB Memory
27.20
$0.5440
XLarge
8 vCPU, 32GB Memory
54.40
$1.0880
The cost for using the advanced features such as AI Supporter and Code Supporter is added to your container cost. However, when using a GPU container, there is no additional charge for these features; instead, your allocated GPU compute and memory resources will be reduced.
1 credit is priced at approximately $0.02. For detailed information, refer to this documentation.
Setting Container Performance
You can set the performance of the container when you create it, based on your requirements. Similarly, when creating a container through Templates, you can set the container performance.
Additionally, you can modify the performance of an existing container on the Container Settings page at any time, depending on your needs and purposes.
To ensure infrastructure stability, processes or containers exceeding their allocated resource limits may be automatically terminated to protect system performance.
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