feature: hpa for jointinference

[tangming1996]

What type of PR is this?
/kind feature

What this PR does / why we need it:
In the scenario of large - model inference, the resource requirements of inference tasks usually increase significantly with the increase in the number of accesses. In the current cloud - edge joint - inference architecture, the fixed single - instance configuration is difficult to effectively cope with such fluctuations, resulting in insufficient resource utilization or performance bottlenecks. By configuring HPA (Horizontal Pod Autoscaler) in the deployment, the number of inference instances can be automatically adjusted according to the real - time number of accesses, and resources can be dynamically expanded or reduced. This mechanism can increase instances during high - load periods and reduce instances during low - load periods, thereby improving concurrent processing capabilities, maximizing the optimization of resource utilization, and ensuring the high efficiency and scalability of the inference service.
Which issue(s) this PR fixes:

Fixes #

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