feature: hpa for jointinference #465
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Signed-off-by: ming.tang <[email protected]>
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/lgtm |
MooreZheng
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Feb 20, 2025
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This HPA pr is necessary when the number of inference requests fluctuates. It would be a good idea to have a new example for HPA, especially joint inference using large model @hsj576
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: MooreZheng The full list of commands accepted by this bot can be found here. The pull request process is described here
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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 thedeployment, 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 #