Autoscaling automatically adds or removes GPU capacity in response to real-time demand, so infrastructure grows and shrinks with workload rather than sitting at a fixed size.
For GPU infrastructure, autoscaling has to weigh cost against the often significant time it takes to provision a new GPU instance. That tradeoff shapes most orchestration design decisions.
This is one of the core elastic-scaling capabilities of the hosted·ai platform.
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