GPU Pods¶
Overview¶
The GPU Pods Management section of the Highrise Cloud documentation provides a comprehensive guide on creating, managing, and scaling GPU Pods within our platform. This section is designed to assist users in optimizing their AI applications by fully utilizing the capabilities of GPU resources.
Accessing GPU Pods¶
To access the GPU Pods management interface, navigate to the sidebar menu and click on GPU Pod.
Creating New GPU Pod¶
Step 1: Click the New Button¶
Click the New button on the GPU Pod page to start the creation process. 
Step 2: Fill in Pod Details¶
Enter a name for your Pod and select resource configurations such as vCPU, CPU type, and memory size. Choose the image type (Official or Private) and set the image pull policy (Always or IfNotPresent). 
Managing GPU Pods¶
You can manage your GPU Pods by performing various tasks such as viewing their status, analyzing logs, monitoring performance metrics, and troubleshooting.
Viewing Pod Status¶
Check the operational status of your GPU Pods, including startup status, runtime, and resource usage.
Tip
Manage various data types with ease using our storage services.
Log Analysis¶
Use log analysis tools to query logs based on keywords and time ranges.
Info
Make sure to use relevant keywords to narrow down your log queries.
Performance Monitoring¶
Monitor performance metrics like network traffic and request response times.
Success
Keep an eye on the performance metrics to ensure optimal Pod performance.
Troubleshooting¶
Use diagnostic tools to locate and resolve faults.
Danger
Avoid making changes without understanding the implications, as this can lead to system instability.
Viewing Pod Details¶
For detailed information about a specific Pod, click on the Detail button.
Job Info¶
| Attribute | Description |
|---|---|
| Pod Name | Name of the GPU Pod |
| Jupyter Enablement | Status of Jupyter notebook |
| Creation Time | Time when the Pod was created |
Resource Information¶
| Attribute | Description |
|---|---|
| Resource Name | Name of the allocated resource |
| vCPU | Number of virtual CPUs |
| CPU Type | Type of CPU |
| Memory | Amount of memory |
| GPU Count | Number of GPUs |
| GPU Memory | Amount of GPU memory |
| GPU Specification | Specifications of the GPUs |
Next Steps¶
For more information on how to optimize your GPU Pods, proceed to the Bare Metal section.